{"id":"W4287834750","doi":"10.32920/20365074","title":"Crash Modification Functions for Passing Relief Lanes on Two-Lane Rural Roads","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Michigan Department of Transportation","keywords":"Crash; Installation; Transport engineering; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050377,0.0008331514,0.0004798293,0.002072501,0.000283369,0.0007262442,0.0009520049,0.000680722,0.003544711],"category_scores_gemma":[0.01714944,0.0003639353,0.001156003,0.00066451,0.0005556337,0.0007431702,0.0006568707,0.0009928463,0.0003820984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002466769,"about_ca_system_score_gemma":0.001110969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005777,"about_ca_topic_score_gemma":0.01613037,"domain_scores_codex":[0.9986299,0.0007650534,0.00005266455,0.0001534472,0.0002712249,0.0001278088],"domain_scores_gemma":[0.9848802,0.01144399,0.001387089,0.0006190753,0.001509534,0.0001601409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002126384,0.00009614656,0.0343608,0.00008232868,0.0000711,0.0001220971,0.0001593285,0.9014529,0.001165763,0.01002001,0.0007347314,0.05152216],"study_design_scores_gemma":[0.00001351405,0.0001930574,0.01761007,0.00001615645,0.0000399714,0.00006717675,0.00008726677,0.9775598,0.001382007,0.002214737,0.000779423,0.00003684642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6371005,0.0003264814,0.353417,0.0001931803,0.00001767582,0.0003489787,0.0004883237,0.0007718574,0.007335996],"genre_scores_gemma":[0.9631284,0.0001127528,0.03438092,0.00002459691,0.000005828543,0.0001511254,0.0004232817,0.00006196272,0.001711108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02005777,"threshold_uncertainty_score":0.03988206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461615196974703,"score_gpt":0.2643910300628416,"score_spread":0.2397748780930946,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}