{"id":"W2605002870","doi":"10.1111/add.13777","title":"Cannabis use and crash risk in drivers","year":2017,"lang":"en","type":"letter","venue":"Addiction","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Cannabis; Confounding; Data extraction; Psychology; Critical appraisal; Selection bias; Odds ratio; Addiction; MEDLINE; Medicine; Psychiatry; Political science; Alternative medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003660116,0.0001330786,0.0001322789,0.00009739288,0.00006987398,0.00004263331,0.00006441844,0.0004278159,0.0000345801],"category_scores_gemma":[0.0000152775,0.0001361717,0.00003147496,0.00002578754,0.000030117,0.0001680606,0.00001355352,0.0008340133,0.00002664798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007761009,"about_ca_system_score_gemma":0.000008648723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004322032,"about_ca_topic_score_gemma":0.000354843,"domain_scores_codex":[0.9995049,0.00001624463,0.00009848622,0.0001478554,0.00007782272,0.0001546568],"domain_scores_gemma":[0.9997137,0.00001663812,0.00003727683,0.0002003249,0.000009958399,0.00002212361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[8.204004e-7,0.000001166466,0.005485987,0.0000176382,0.00003133139,0.00005694702,0.00007624485,0.001604464,0.000001443096,7.889077e-7,0.98248,0.01024318],"study_design_scores_gemma":[0.0001450847,0.000005707434,0.1958981,0.0000404996,0.00003056213,0.000005402298,0.00000272453,0.00200079,0.000002520623,0.00000516998,0.8017387,0.0001247386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7471368,0.002200287,0.002314999,0.2017016,0.01893629,0.001771352,0.002257081,0.003740924,0.01994066],"genre_scores_gemma":[0.9342445,0.009563651,0.000508428,0.03457867,0.007370831,0.00009329624,0.001230602,0.0003147816,0.01209524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1904121,"threshold_uncertainty_score":0.5552921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008121097937078037,"score_gpt":0.1885232342761065,"score_spread":0.1804021363390284,"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."}}