{"id":"W4389060308","doi":"10.1016/j.cjca.2023.11.026","title":"Disparities in Cardiovascular Health: Looking Beyond Traditional Categories","year":2023,"lang":"en","type":"letter","venue":"Canadian Journal of Cardiology","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiovascular health; Health equity; Internal medicine; Nursing; Disease; Public health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0077648,0.0005250681,0.001639522,0.001735196,0.007270166,0.005049828,0.002254271,0.0315807,0.00916909],"category_scores_gemma":[0.03526796,0.0005169227,0.001206272,0.001520749,0.006288892,0.008478466,0.003834031,0.0348709,0.00168515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007119534,"about_ca_system_score_gemma":0.01373474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08267639,"about_ca_topic_score_gemma":0.1909459,"domain_scores_codex":[0.9942656,0.002142494,0.0005620533,0.0006649057,0.001493393,0.0008715645],"domain_scores_gemma":[0.971331,0.01693034,0.001517301,0.0006727644,0.003955551,0.005592969],"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":[0.00007113909,0.0001286415,0.01190665,0.0001279561,0.00004188965,0.001101612,0.00185047,0.00006048135,0.0001303224,0.01918249,0.9310908,0.03430754],"study_design_scores_gemma":[0.0003846721,0.0002022496,0.03902766,0.003689362,0.0002499877,0.003579872,0.02175471,0.001878978,0.0002783187,0.1842899,0.7443534,0.0003109588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001046622,0.0007682143,0.00008309638,0.9932076,0.002920431,0.00000485622,0.00004180804,0.000005823814,0.00192156],"genre_scores_gemma":[0.02050515,0.001938193,0.0005927705,0.9394636,0.03402961,0.00005294439,0.00004910969,0.00001965961,0.003348864],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08267639,"threshold_uncertainty_score":0.1643903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08831143761140876,"score_gpt":0.3423228530663437,"score_spread":0.2540114154549349,"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."}}