{"id":"W4401943935","doi":"10.1016/j.jacadv.2024.101202","title":"Prospective Human Validation of Artificial Intelligence Interventions in Cardiology","year":2024,"lang":"en","type":"article","venue":"JACC Advances","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Gold standard (test); Psychological intervention; Clinical Practice; Medicine; Artificial intelligence; Computer science; Internal medicine; Nursing","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":[0.1809643,0.001066121,0.003063756,0.008108094,0.0009404195,0.005512753,0.003375261,0.002562727,0.005994644],"category_scores_gemma":[0.4206959,0.0008346568,0.005118125,0.00754008,0.002935636,0.003961717,0.002362751,0.001686034,0.000866584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003286221,"about_ca_system_score_gemma":0.0161226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112736,"about_ca_topic_score_gemma":0.003951635,"domain_scores_codex":[0.8103547,0.1045625,0.05392939,0.006517278,0.0234388,0.001197348],"domain_scores_gemma":[0.3131168,0.5503148,0.07064789,0.01874859,0.04602943,0.001142452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.002281979,0.0004181702,0.0199172,0.6397797,0.0138248,0.0003228175,0.002465052,0.0008488666,0.0008658195,0.004138174,0.004912931,0.3102245],"study_design_scores_gemma":[0.001312205,0.003284032,0.04062856,0.8388633,0.0344501,0.0007120334,0.001925409,0.0006985808,0.003461958,0.003171243,0.071284,0.0002085505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03365034,0.9318759,0.008080541,0.004569056,0.001889164,0.006127071,0.003229177,0.00009213116,0.01048663],"genre_scores_gemma":[0.4135661,0.5214692,0.03968769,0.006670804,0.001756624,0.01143784,0.004324776,0.0001120415,0.000974877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1809643,"threshold_uncertainty_score":0.9570419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2267480407869984,"score_gpt":0.5116680421877862,"score_spread":0.2849200014007878,"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."}}