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Laufenn I Fit Winter

Name: Laufenn I Fit Winter
Brand: Laufenn

Laufenn Däck Touring Vinter

The Laufenn I Fit Winter är en Touring Vinter däck utformade för att monteras på Personbils.

3.4

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1 Tester (genomsnitt: 41^st)

Parameter	Värde	Beskrivning
`safety_weight`	0.7	Weight multiplier for safety-related metrics
`performance_weight`	0.55	Weight multiplier for performance metrics
`comfort_weight`	0.4	Weight multiplier for comfort metrics
`value_weight`	0.45	Weight multiplier for value-for-money metrics
`user_reviews_weight`	0.15	How much user reviews contribute to the final score
`test_data_weight`	0.8	How much professional test data contributes to the final score
`consistency_weight`	0.05	How much score consistency contributes to the final score
`recency_decay_rate`	0.95	Rate at which older test results lose influence (higher = slower decay)
`min_test_count`	1	Minimum number of professional tests required
`min_review_count`	5	Minimum number of user reviews required
`score_version`	1.9	Current version of the scoring algorithm
`score_normalization_factor`	1.1	Factor used to normalize raw scores to the 0-10 scale
`confidence_factor_weight`	0.2	How much data confidence affects the final score
`position_penalty_weight`	0.2	Penalty applied for poor test positions
`gap_penalty_threshold`	12	Score gap (%) that triggers additional penalties
`min_metrics_count`	2	Minimum number of test metrics needed per test
`limited_data_threshold`	2	Number of tests below which data is considered limited
`single_test_penalty`	0.75	Score multiplier when only one test is available
`critical_metric_penalty`	0.7	Penalty for poor performance on critical safety metrics
`critical_metric_threshold`	70	Score below which a critical metric penalty applies
`position_exponential_factor`	1.2	Exponent used to amplify position-based scoring
`position_exponential_threshold`	0.9	Position percentile below which exponential scoring applies
`gap_multiplier_critical`	3	Multiplier for critical gap penalties
`max_category_weight`	2	Maximum weight any single category can have
`max_score_limited_data`	9.5	Score cap when data is limited
`bayesian_prior_weight`	1.5	Weight of the Bayesian prior in smoothing
`bayesian_prior_score`	7	Prior score used for Bayesian smoothing
`evidence_test_multiplier`	1.9	Multiplier for test evidence in confidence calculation
`evidence_metric_divisor`	3	Divisor for metric count in evidence calculation
`evidence_review_divisor`	10	Divisor for review count in evidence calculation
`combined_penalty_floor`	0.2