{"id":"W4206014235","doi":"10.1503/cmaj.80405","title":"Implementing machine learning in paramedicine","year":2022,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"USable; Computer science; Artificial intelligence; Machine learning; Human–computer interaction; Data science; World Wide Web","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":[0.01069908,0.0006456904,0.000428392,0.0005170011,0.003098337,0.006221127,0.002122093,0.02044095,0.007342528],"category_scores_gemma":[0.07011139,0.0005540935,0.0007440754,0.00058734,0.006232779,0.009044518,0.005655732,0.03383728,0.006213611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004829903,"about_ca_system_score_gemma":0.007354304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005778589,"about_ca_topic_score_gemma":0.009776372,"domain_scores_codex":[0.9815865,0.01039633,0.001034007,0.0008085602,0.004996956,0.001177584],"domain_scores_gemma":[0.9591177,0.02739082,0.001713585,0.002558882,0.005492207,0.003726837],"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":[0.00007423749,0.0002133995,0.002769904,0.0002984809,0.00003200784,0.002139185,0.001209453,0.001817576,0.000796438,0.05330421,0.6996525,0.2376926],"study_design_scores_gemma":[0.0000660388,0.0002291509,0.001083039,0.001193351,0.00001983693,0.00279949,0.001095256,0.006410216,0.0009423689,0.1194224,0.8666533,0.00008549078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004606192,0.001150058,0.007554868,0.9795458,0.004736342,0.00002156851,0.000007459907,0.0001065075,0.006416777],"genre_scores_gemma":[0.04781256,0.005280953,0.04371678,0.8686463,0.02304325,0.0002140041,0.00003593583,0.0001753931,0.01107483],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02044095,"threshold_uncertainty_score":0.05658281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957548002520971,"score_gpt":0.2994148261984897,"score_spread":0.27983934617328,"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."}}