{"id":"W4412685938","doi":"10.1503/cmaj.250888","title":"Canada’s health innovation imperative","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); Vector Institute","funders":"","keywords":"Computer science; Data science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01667092,0.001135443,0.001555418,0.004288513,0.01346767,0.02385046,0.003217272,0.03877193,0.03092607],"category_scores_gemma":[0.0424003,0.000885699,0.002164468,0.003800064,0.01581833,0.006032793,0.007269192,0.03160232,0.003054676],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1168852,"about_ca_system_score_gemma":0.5164796,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9587988,"about_ca_topic_score_gemma":0.9702795,"domain_scores_codex":[0.9657071,0.002485911,0.0006826018,0.001739613,0.02063387,0.008750959],"domain_scores_gemma":[0.9257763,0.01075401,0.001337704,0.001405171,0.02507696,0.03564992],"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":[0.00004887371,0.00005365419,0.0007988533,0.0001218603,0.00003864043,0.0002078933,0.0004210254,0.0002666065,0.0001682498,0.2456957,0.7432387,0.008939927],"study_design_scores_gemma":[0.00009052162,0.00002849734,0.003128079,0.0002242706,0.00003275757,0.00007837349,0.000713178,0.0003870263,0.000166291,0.02646805,0.9686082,0.00007474372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001590013,0.002645276,0.0003840733,0.9353334,0.007799207,0.00003365919,0.0005712604,0.0001032459,0.0515399],"genre_scores_gemma":[0.08286373,0.006740952,0.002989112,0.7355667,0.006174205,0.0001194954,0.0006358642,0.0001512723,0.1647587],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8831148,"threshold_uncertainty_score":0.8480654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355967188291868,"score_gpt":0.390815238071804,"score_spread":0.3552185192426172,"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."}}