{"id":"W4311456908","doi":"10.1016/j.jacadv.2022.100153","title":"Artificial Intelligence in Congenital Heart Disease","year":2022,"lang":"en","type":"article","venue":"JACC Advances","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Heart disease; Leverage (statistics); Disease; Medicine; Software deployment; Intensive care medicine; Artificial intelligence; Cardiology; Computer science; Internal 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":[0.004215446,0.0003163154,0.0004781906,0.001932745,0.0005170265,0.003041663,0.0005790286,0.001581352,0.003056352],"category_scores_gemma":[0.01087399,0.0001319659,0.0003866368,0.001601163,0.002943438,0.002466138,0.001410182,0.003944811,0.0006002998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002267524,"about_ca_system_score_gemma":0.003676201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524999,"about_ca_topic_score_gemma":0.004294655,"domain_scores_codex":[0.9979907,0.001013665,0.0001827687,0.0001360376,0.0005584777,0.0001184239],"domain_scores_gemma":[0.9892814,0.008467094,0.0004949673,0.0002933188,0.0009410112,0.00052221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007015483,0.00008336648,0.007851284,0.003866139,0.0001205295,0.0005590394,0.0008986663,0.0009096276,0.0004194699,0.1983248,0.1277657,0.6591312],"study_design_scores_gemma":[0.00002140253,0.000167014,0.0142615,0.01247904,0.00006968961,0.002636944,0.001144132,0.0009229825,0.0004259514,0.1991181,0.7686972,0.00005607552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002493398,0.8823256,0.002675676,0.08542839,0.002909706,0.00003356002,0.00009267525,0.00003861519,0.02400238],"genre_scores_gemma":[0.03706602,0.93679,0.004326338,0.01351408,0.005490878,0.00006056364,0.0001162601,0.00001849824,0.002617435],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004215446,"threshold_uncertainty_score":0.02229369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658361365058279,"score_gpt":0.3272684997954395,"score_spread":0.3006848861448567,"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."}}