{"id":"W6977370582","doi":"10.6084/m9.figshare.26565432.v1","title":"Additional file 2 of Documenting cannabis use in primary care: a descriptive cross-sectional study using electronic medical record data in Alberta, Canada","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Medical record; Electronic medical record; Table (database); Primary care; Medical cannabis; Data collection; Data file; Patient record","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001150353,0.0006720402,0.001286269,0.004652247,0.001888983,0.001324493,0.001675483,0.0007831021,0.5631258],"category_scores_gemma":[0.0180969,0.0004458268,0.000960832,0.01040212,0.0003900375,0.0009268625,0.0008722462,0.0006836209,0.02350242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008906167,"about_ca_system_score_gemma":0.01709753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8113558,"about_ca_topic_score_gemma":0.8375282,"domain_scores_codex":[0.9989601,0.0001058548,0.0002231492,0.0001674073,0.0003102022,0.0002332369],"domain_scores_gemma":[0.9857101,0.006339341,0.001582961,0.0006351886,0.005105076,0.000627391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002624089,0.00008351327,0.01889921,0.003556325,0.00006697496,0.00008463069,0.0002469847,0.0003384305,0.00005487893,0.0008199892,0.9679594,0.007627328],"study_design_scores_gemma":[0.003558279,0.0002100437,0.4596631,0.01217951,0.0004275633,0.0005983034,0.003409872,0.001947946,0.0004927451,0.002717824,0.5145807,0.0002142056],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0005360129,0.00002838913,0.00004363239,0.00006364381,0.0000111922,0.0001419917,0.9979044,0.00002141551,0.001249288],"genre_scores_gemma":[0.03247774,0.0004930969,0.001868166,0.0005528712,0.00008365911,0.003353494,0.9464555,0.0001571139,0.01455836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5631258,"threshold_uncertainty_score":0.623148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711079805211892,"score_gpt":0.2480362128230055,"score_spread":0.2209254147708866,"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."}}