{"id":"W4412172105","doi":"10.1093/eurheartj/ehaf305","title":"Great debate: artificial intelligence will replace much of what cardiologists do","year":2025,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute; University of Calgary","funders":"","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.05269005,0.0007764036,0.001619262,0.001612438,0.003917805,0.01169256,0.003201645,0.02255899,0.0164519],"category_scores_gemma":[0.09909012,0.0004215024,0.001160117,0.001469032,0.02811396,0.02717678,0.005059511,0.03158709,0.007659583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00462321,"about_ca_system_score_gemma":0.006004726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003034061,"about_ca_topic_score_gemma":0.001675198,"domain_scores_codex":[0.975112,0.01119227,0.001046209,0.003089723,0.008624607,0.0009352378],"domain_scores_gemma":[0.8913956,0.07653516,0.003934464,0.005716013,0.01580582,0.006612839],"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":[0.0002722843,0.0001140098,0.0009222599,0.0006957395,0.0001732011,0.0001578127,0.001390188,0.0002999727,0.0006221569,0.3400391,0.5415199,0.1137933],"study_design_scores_gemma":[0.00009418375,0.00008075024,0.0008628277,0.001761742,0.00004893211,0.0003156655,0.001893217,0.0005327814,0.000298182,0.377495,0.6165411,0.00007548732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003412337,0.01607462,0.00125016,0.9726543,0.006783127,0.00000449322,0.00003239715,0.00002989351,0.002829603],"genre_scores_gemma":[0.03008303,0.0255205,0.003672024,0.9073011,0.02756695,0.00004213322,0.00008661953,0.0001227534,0.005604799],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05269005,"threshold_uncertainty_score":0.2786549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1762779113207464,"score_gpt":0.433981469525192,"score_spread":0.2577035582044456,"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."}}