{"id":"W2022789363","doi":"10.1016/j.jsr.2014.02.002","title":"Relationships between frequency of driving under the influence of cannabis, self-reported reckless driving and risk-taking behavior observed in a driving simulator","year":2014,"lang":"en","type":"article","venue":"Journal of Safety Research","topic":"Traffic and Road Safety","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Dangerous driving; Cannabis; Driving simulator; Poison control; Commit; Aggressive driving; Psychology; Human factors and ergonomics; Driving under the influence; Injury prevention; Computer security; License; Social psychology; Engineering; Simulation; Computer science; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008442068,0.0001773074,0.0005105614,0.0004449865,0.0002777522,0.0000330379,0.0004408559,0.0002083313,0.000009323066],"category_scores_gemma":[0.002309498,0.0001371602,0.0001119744,0.0008409607,0.0001892318,0.0003797922,0.0001264296,0.001984285,7.413204e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420078,"about_ca_system_score_gemma":0.0001970215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002533534,"about_ca_topic_score_gemma":0.0007122664,"domain_scores_codex":[0.996232,0.0008152726,0.001468813,0.000181027,0.0008601747,0.0004427308],"domain_scores_gemma":[0.9960078,0.001917048,0.000947069,0.0003681116,0.0005831128,0.0001768741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007764838,0.00003874192,0.807852,0.0000627141,0.0001197353,0.000007269359,0.00112113,0.187288,0.001713058,0.0001697701,0.000005921681,0.00161386],"study_design_scores_gemma":[0.0005488797,0.00007730884,0.987824,0.0006882005,0.00009351242,0.00002142738,0.0006543008,0.009459658,0.0002175434,0.0002443664,0.0000390664,0.0001317101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977595,0.0003130448,0.001283179,0.00015402,0.0000732687,0.0002553519,0.000004077829,0.00003034576,0.0001272704],"genre_scores_gemma":[0.9979873,0.0005476474,0.001307462,0.000001279994,0.0001016463,0.000004970342,0.000001121277,0.00003819492,0.0000103824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179972,"threshold_uncertainty_score":0.8620841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06472384701129878,"score_gpt":0.3197654203449998,"score_spread":0.255041573333701,"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."}}