{"id":"W647740192","doi":"10.1037/e563412012-001","title":"Motorcycle Conspicuity and the Effect of Fleet DRL: Analysis of Two-Vehicle Fatal Crashes in Canada and the United States 2001-2007","year":2011,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Aeronautics; Transport engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000862551,0.0004928152,0.0004723956,0.002057074,0.001379305,0.001469635,0.001115054,0.0004672354,0.00118116],"category_scores_gemma":[0.004096027,0.0003450283,0.001467473,0.003050944,0.000764103,0.0004654047,0.0009658893,0.000758072,0.0001607368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01662943,"about_ca_system_score_gemma":0.0152842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987956,"about_ca_topic_score_gemma":0.9912423,"domain_scores_codex":[0.9989801,0.0001211744,0.00006551526,0.0001991071,0.000361076,0.0002730206],"domain_scores_gemma":[0.9964031,0.000487151,0.0008610666,0.0002077978,0.001409952,0.0006309862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001052284,0.00002157017,0.9961531,0.00001235887,0.0001537587,0.00009776236,0.0001361245,0.001201314,0.0001021539,0.00006913317,0.0002443846,0.001703164],"study_design_scores_gemma":[0.000003019313,0.00001688387,0.9980692,0.000008373362,0.00003500493,0.0000520055,0.0003550621,0.001086013,0.0000608232,0.00001491447,0.0002891947,0.000009472205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9966726,0.0003753168,0.00008132548,0.0000966372,0.000004987808,0.00001268026,0.001897111,0.000008954256,0.0008502971],"genre_scores_gemma":[0.9975677,0.0002295661,0.00009944538,0.00002920509,0.000002913278,0.000005083333,0.00161245,0.00000575888,0.0004479144],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01662943,"threshold_uncertainty_score":0.1206555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006638938339801207,"score_gpt":0.220631488477239,"score_spread":0.2139925501374378,"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."}}