{"id":"W2990063174","doi":"10.1111/add.14891","title":"Cannabis, crashes and blood: challenges for observational research","year":2019,"lang":"en","type":"letter","venue":"Addiction","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cannabis; Blood alcohol; Medicine; Anesthesia; Tetrahydrocannabinol; Poison control; Cannabinoid; Injury prevention; Toxicology; Emergency medicine; Internal medicine; Psychiatry; Biology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2592491,0.001602142,0.004510681,0.007891305,0.003736948,0.0064288,0.007482972,0.004955321,0.008854022],"category_scores_gemma":[0.5439448,0.002332507,0.003163938,0.01448456,0.005613487,0.01171212,0.007348912,0.006812295,0.002667694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003443344,"about_ca_system_score_gemma":0.008306751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02530864,"about_ca_topic_score_gemma":0.02772,"domain_scores_codex":[0.6245353,0.2838799,0.04136808,0.01746272,0.02985837,0.002895682],"domain_scores_gemma":[0.2751912,0.5788719,0.04182762,0.05606128,0.04284362,0.005204384],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002072517,0.001067656,0.568942,0.02929257,0.01235531,0.0007652431,0.007949347,0.001288419,0.0002096297,0.02481887,0.1397066,0.2115319],"study_design_scores_gemma":[0.001103576,0.002415603,0.4193779,0.08188321,0.005984712,0.002547818,0.02575577,0.01014549,0.0005417144,0.1600109,0.2892557,0.0009775352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.1169156,0.4356093,0.1243025,0.2160335,0.02129231,0.007062384,0.0494628,0.0009636646,0.02835789],"genre_scores_gemma":[0.6303028,0.08181447,0.1360513,0.09289451,0.01866645,0.01606818,0.01991999,0.0009233007,0.003359115],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7407509,"threshold_uncertainty_score":0.9134778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471775067354595,"score_gpt":0.3747152110182814,"score_spread":0.2275377042828219,"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."}}