{"id":"W1931547804","doi":"10.1002/atr.1181","title":"Safety modeling for two‐way left‐turn lanes and a procedure to identify two‐way left‐turn lane segments with safety concerns","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Crash; Percentile; Negative binomial distribution; Traffic volume; Mile; Statistics; Transport engineering; Poison control; Binomial distribution; Computer science; Engineering; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001577417,0.0007514477,0.0004784201,0.001805886,0.0007735083,0.001223171,0.001253452,0.0006588745,0.008366082],"category_scores_gemma":[0.003550056,0.0004480435,0.00179407,0.0007523797,0.0003995609,0.0007895386,0.001198164,0.0008548647,0.0009606192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008967402,"about_ca_system_score_gemma":0.002430082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852661,"about_ca_topic_score_gemma":0.01480976,"domain_scores_codex":[0.9991575,0.0002608304,0.00004344251,0.000240023,0.0002042832,0.00009382473],"domain_scores_gemma":[0.9979919,0.001020912,0.0003358545,0.0001786456,0.0004119326,0.00006085591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003665787,0.0005344886,0.08614971,0.000169572,0.0001749962,0.0004603767,0.0005936693,0.7201268,0.01097644,0.01920856,0.005356893,0.1558819],"study_design_scores_gemma":[0.00001102173,0.00009499981,0.007756547,0.00001242122,0.00001973232,0.00005119379,0.0001192204,0.984722,0.001671806,0.00369158,0.001827484,0.00002203607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1036219,0.00004030813,0.8917908,0.0001511769,0.0000243105,0.0002137602,0.0007095225,0.001150917,0.00229727],"genre_scores_gemma":[0.6952466,0.00006279429,0.2966451,0.00005319538,0.00002688691,0.0004617041,0.002416335,0.0001208317,0.004966597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01852661,"threshold_uncertainty_score":0.03683758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091072515290201,"score_gpt":0.2701286205582967,"score_spread":0.2592178954053947,"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."}}