{"id":"W4248694313","doi":"10.1503/cmaj.170904","title":"Medical cannabinoids","year":2017,"lang":"en","type":"erratum","venue":"Canadian Medical Association Journal","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Medicine; Data science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003685012,0.0007810639,0.001119005,0.00163279,0.003874377,0.003333853,0.001940869,0.007653026,0.06890386],"category_scores_gemma":[0.03954667,0.0004608966,0.001127296,0.001429096,0.001797862,0.00207268,0.001532491,0.01426941,0.04585025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003891735,"about_ca_system_score_gemma":0.009387152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02908195,"about_ca_topic_score_gemma":0.04259456,"domain_scores_codex":[0.9951181,0.0004968098,0.0007794827,0.00051776,0.002679839,0.0004080122],"domain_scores_gemma":[0.9835688,0.004977282,0.001010289,0.000891657,0.008434406,0.001117559],"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":[0.00001498523,0.000005272083,0.00004613787,0.00006396775,0.000003306193,0.0001071639,0.00001540504,0.000003927471,0.00001494575,0.001105359,0.9889349,0.009684605],"study_design_scores_gemma":[0.00001033049,0.000007576118,0.0001607716,0.0002111466,0.000008946723,0.0002292305,0.00003152257,0.0000141182,0.00006223317,0.0004297373,0.9988263,0.000007971614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002212869,0.01042007,0.0002476884,0.3704314,0.5764832,0.00002936659,0.001071384,0.0002724884,0.04082311],"genre_scores_gemma":[0.008814136,0.02780391,0.001682114,0.5028456,0.1970083,0.00008304243,0.002155838,0.000478621,0.2591284],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06890386,"threshold_uncertainty_score":0.2305064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082094465119062,"score_gpt":0.2961661216669697,"score_spread":0.2853451770157791,"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."}}