{"id":"W7098629685","doi":"","title":"Patterns of cannabis use among patients with multiple sclerosis","year":2015,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cannabis; Multiple sclerosis; Epidemiology; Neurology; Marijuana smoking; Medical cannabis; Young adult","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":[0.000208861,0.0001543794,0.0002760271,0.001282788,0.0005825059,0.0005731059,0.0003057125,0.0003287108,0.001383981],"category_scores_gemma":[0.001175178,0.0001715665,0.000187566,0.001330596,0.000335345,0.0002599484,0.0003542397,0.0003178865,0.0002652849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008280097,"about_ca_system_score_gemma":0.0005582945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09906886,"about_ca_topic_score_gemma":0.1244925,"domain_scores_codex":[0.9996814,0.00005296007,0.00004227349,0.00003898426,0.0001097931,0.00007463874],"domain_scores_gemma":[0.9990034,0.0001473396,0.0004341301,0.00003315948,0.0002050482,0.0001770493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003120864,0.000009949731,0.9989119,0.000006855844,0.000009016083,0.0001030182,0.0001239387,0.00001213685,0.0001743017,0.000003860721,0.00005637611,0.0005574633],"study_design_scores_gemma":[0.000001861777,0.00002451474,0.9992679,0.00000471413,0.000004205762,0.0002558398,0.0002662468,0.0000503377,0.00003383273,0.000002864213,0.00008566071,0.000002094052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988721,0.0001867557,0.00002112212,0.00005705769,0.000002095816,0.000008219964,0.0003857881,0.00000231107,0.0004645578],"genre_scores_gemma":[0.9995072,0.0001057434,0.00003224644,0.00002518306,0.000002938922,0.000004362866,0.0001848982,9.207503e-7,0.0001365013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09906886,"threshold_uncertainty_score":0.1969844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03692548091658615,"score_gpt":0.1946259509912442,"score_spread":0.1577004700746581,"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."}}