{"id":"W4392546479","doi":"10.1016/j.pcad.2024.03.002","title":"Artificial intelligence in preventive cardiology","year":2024,"lang":"en","type":"article","venue":"Progress in Cardiovascular Diseases","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Dyslipidemia; Psychological intervention; Preventive healthcare; Intensive care medicine; Disease; Public health; Internal medicine; Pathology; Psychiatry","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":[0.002161885,0.0003996937,0.0006432153,0.001432614,0.0004413516,0.003656029,0.0005934242,0.001578124,0.005622505],"category_scores_gemma":[0.005844198,0.0002003677,0.0003262491,0.0009399676,0.002227708,0.002691531,0.001037757,0.002577381,0.001041279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008492663,"about_ca_system_score_gemma":0.001081204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001317627,"about_ca_topic_score_gemma":0.001049879,"domain_scores_codex":[0.9990832,0.0004610349,0.00007414506,0.0001100305,0.0002319453,0.00003965328],"domain_scores_gemma":[0.995917,0.003077122,0.0001749658,0.0003144504,0.0003332779,0.0001831567],"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":[0.00008729396,0.0002587066,0.004271995,0.001352398,0.0001698056,0.0002774409,0.0003869328,0.00608851,0.0007211216,0.3344155,0.07165825,0.5803122],"study_design_scores_gemma":[0.00004777646,0.0001298756,0.005915734,0.001754369,0.00009996956,0.0004749576,0.0003969115,0.02419102,0.0005572909,0.7395419,0.2268482,0.00004207846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01890911,0.506906,0.1028816,0.1431314,0.01178097,0.0001171761,0.0003631346,0.0004606976,0.2154499],"genre_scores_gemma":[0.5426991,0.2954579,0.07032467,0.02103455,0.01924781,0.0002526706,0.0004754461,0.0001061776,0.05040169],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005622505,"threshold_uncertainty_score":0.01880914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029476530247228,"score_gpt":0.3246043265801967,"score_spread":0.3043095612777245,"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."}}