{"id":"W4402581109","doi":"10.1503/cmaj.240363","title":"Artificial intelligence scribes in primary care","year":2024,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Computer science; Data science; Primary care; World Wide Web; Information retrieval; Multimedia; Medicine; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006746996,0.000320334,0.0003701531,0.0009455136,0.003974142,0.003081043,0.001446178,0.001940608,0.03594968],"category_scores_gemma":[0.03005877,0.000308284,0.0003500312,0.0009224698,0.001947482,0.001858403,0.004662922,0.003227309,0.008915634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003161693,"about_ca_system_score_gemma":0.01014674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005524722,"about_ca_topic_score_gemma":0.01579153,"domain_scores_codex":[0.9917012,0.005028438,0.0004010483,0.0006762971,0.00179949,0.0003935367],"domain_scores_gemma":[0.9802973,0.01117508,0.001482234,0.001426486,0.002307958,0.003310903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000188321,0.0006199909,0.01105387,0.001464387,0.00002819457,0.001660558,0.01120643,0.0002664879,0.0009666695,0.01900521,0.3721414,0.5813985],"study_design_scores_gemma":[0.0002265729,0.0008632337,0.02999245,0.003068705,0.00005654019,0.004183588,0.009647934,0.001034733,0.001024682,0.0321274,0.9177065,0.00006762704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.08414841,0.04324938,0.03866963,0.2651249,0.008353108,0.001662821,0.001324585,0.002915081,0.5545521],"genre_scores_gemma":[0.6899342,0.03132414,0.1154305,0.08784349,0.005080453,0.001301804,0.001083062,0.0004970537,0.06750538],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03594968,"threshold_uncertainty_score":0.1202636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06678877824123192,"score_gpt":0.3695407527528616,"score_spread":0.3027519745116297,"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."}}