{"id":"W4400026235","doi":"10.17615/cm0e-4y75","title":"Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine","year":2024,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sanofi Pasteur; Genentech; Esperion Therapeutics; Daiichi Sankyo Europe; Servier; Alberta Innovates; MannKind Corporation; Eisai; Amgen; European Society of Cardiology; Zafgen; Tenax Therapeutics; Novo Nordisk; National Institutes of Health; Regeneron Pharmaceuticals; Dexcom; Intarcia Therapeutics; Canadian Cardiovascular Society; Orexigen Therapeutics; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; CSL Behring; GlaxoSmithKline; Amylin Pharmaceuticals; Pfizer; Sanofi; American Diabetes Association","keywords":"Atherosclerotic cardiovascular disease; Cluster (spacecraft); Disease; Phenotype; Type 2 diabetes; Medicine; Diabetes mellitus; Clinical phenotype; Internal medicine; Cardiology; Endocrinology; Computer science; Genetics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01330981,0.001041321,0.002024936,0.004514415,0.0007894153,0.002364806,0.001298364,0.0007519571,0.000990641],"category_scores_gemma":[0.03599257,0.000389725,0.001631932,0.003667786,0.001537037,0.001248464,0.001779785,0.001466007,0.0001901319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008154705,"about_ca_system_score_gemma":0.001141618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003569001,"about_ca_topic_score_gemma":0.00269857,"domain_scores_codex":[0.990298,0.006987835,0.0004990866,0.001405244,0.0006269003,0.0001830312],"domain_scores_gemma":[0.9729784,0.01787732,0.00375563,0.003662641,0.001389653,0.000336476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003215975,0.0005165177,0.6295134,0.00118473,0.008113804,0.0004898685,0.002537118,0.04815869,0.006736987,0.02453541,0.008839911,0.2661576],"study_design_scores_gemma":[0.0008168978,0.001256984,0.4432568,0.0005013862,0.002068304,0.00104472,0.002020702,0.305805,0.002956827,0.228091,0.01184295,0.0003383628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3529242,0.008349192,0.6239407,0.006292791,0.0005038322,0.0005971515,0.003168201,0.001067804,0.003156202],"genre_scores_gemma":[0.8495876,0.0009368659,0.1464014,0.0005742314,0.0004262412,0.0003088767,0.0012743,0.00008858144,0.0004017994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01330981,"threshold_uncertainty_score":0.07038993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790479555929941,"score_gpt":0.3043727330617588,"score_spread":0.2664679375024593,"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."}}