{"id":"W2982056070","doi":"","title":"Prevalence and correlates of non-medical only compared to self-defined medical and non-medical cannabis use, Canada, 2015.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Statistics Canada","funders":"","keywords":"Cannabis; Medicine; Psychiatry; Authorization; Family medicine; Environmental health; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0006672588,0.0003169178,0.0003805664,0.002747886,0.002437947,0.00139548,0.001287749,0.0004101936,0.003068216],"category_scores_gemma":[0.002278694,0.0004210114,0.0007864839,0.004935123,0.0009476741,0.0004633674,0.001126183,0.0008301918,0.0003493234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02872673,"about_ca_system_score_gemma":0.04101221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951288,"about_ca_topic_score_gemma":0.9967849,"domain_scores_codex":[0.9988639,0.00003974092,0.00009323317,0.0001772171,0.0005844844,0.0002413501],"domain_scores_gemma":[0.997506,0.00006641204,0.0005491946,0.00003962593,0.001238156,0.0006007531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006767952,0.00003000504,0.9909822,0.0001493418,0.00007714516,0.0000449328,0.0005567463,0.00007649336,0.00008888562,0.0001293922,0.003861905,0.003935204],"study_design_scores_gemma":[0.000004545404,0.00001017172,0.9976584,0.00006166878,0.00002187357,0.00004887106,0.0007462451,0.00009799847,0.00003045981,0.00001837469,0.001293599,0.000007828136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031231,0.006666102,0.0002208984,0.001494358,0.00008269363,0.0001774913,0.07988989,0.00006895252,0.008276373],"genre_scores_gemma":[0.9795446,0.002622871,0.0004115741,0.0002421389,0.00001757387,0.00004954875,0.01505764,0.00001432357,0.002039823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02872673,"threshold_uncertainty_score":0.208428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100990498213111,"score_gpt":0.2632698734303178,"score_spread":0.2522599684481867,"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."}}