{"id":"W4407224447","doi":"10.1503/cjs.000725","title":"Artificial intelligence and medicine — inevitable but not invulnerable for now","year":2025,"lang":"en","type":"editorial","venue":"Canadian Journal of Surgery","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Calgary","funders":"","keywords":"Medicine; MEDLINE; Law","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":[0.008970673,0.002817907,0.002744144,0.00376197,0.004164401,0.01127574,0.003251841,0.01754239,0.01189041],"category_scores_gemma":[0.03195136,0.001025591,0.001748331,0.001812445,0.006535118,0.008368392,0.002021591,0.03835909,0.01149557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003874331,"about_ca_system_score_gemma":0.006584913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661995,"about_ca_topic_score_gemma":0.01047543,"domain_scores_codex":[0.9916005,0.001707976,0.0007150322,0.0006750513,0.00491822,0.0003832798],"domain_scores_gemma":[0.9580564,0.02700815,0.001507647,0.0008816009,0.008825615,0.003720512],"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":[0.0000140597,0.00000464641,0.00001220241,0.0001647016,0.00000906311,0.00005026015,0.00002100224,0.00001041007,0.00001796109,0.001427753,0.9933441,0.004923942],"study_design_scores_gemma":[0.00001732924,0.00001266338,0.00006908155,0.0004492218,0.00001603163,0.0001428625,0.00005942199,0.00005027357,0.00003139611,0.003219869,0.9959193,0.00001253197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001681415,0.01795113,0.0001184016,0.1067628,0.8726543,0.000009233838,0.0000400731,0.0000467546,0.00240046],"genre_scores_gemma":[0.0003803952,0.01165184,0.00012934,0.05889184,0.9231514,0.0000121415,0.00001841581,0.00003637224,0.005728138],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01754239,"threshold_uncertainty_score":0.04744202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2107718804768523,"score_gpt":0.4019997394921435,"score_spread":0.1912278590152912,"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."}}