{"id":"W4315621461","doi":"10.5694/mja2.51821","title":"Cardiovascular disease risk screening in Australia: evidence and data gaps","year":2023,"lang":"en","type":"article","venue":"The Medical Journal of Australia","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chronic Disease Prevention Alliance of Canada","funders":"Medical Research Council; Ian Potter Foundation; National Health and Medical Research Council; National Heart Foundation of Australia; David and Elaine Potter Foundation","keywords":"Alliance; Library science; Population; Epidemiology; George (robot); Population health; Medicine; Gerontology; Political science; History; Environmental health; Art history; Law","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":[0.0655136,0.0007995067,0.004355941,0.00646628,0.001415978,0.006312937,0.004761934,0.004210753,0.009604403],"category_scores_gemma":[0.214936,0.001754034,0.003563924,0.007388623,0.003460614,0.006138145,0.006376011,0.005624056,0.001030305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009604924,"about_ca_system_score_gemma":0.03696479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0732675,"about_ca_topic_score_gemma":0.1016664,"domain_scores_codex":[0.9471684,0.02146956,0.01520678,0.003056396,0.0118335,0.001265353],"domain_scores_gemma":[0.7261608,0.1993641,0.02751957,0.004692975,0.03731911,0.004943462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004512595,0.0003142678,0.01137225,0.2860347,0.001909792,0.0001872661,0.002417878,0.0008030948,0.0001975847,0.01138469,0.03729842,0.6476289],"study_design_scores_gemma":[0.0002414601,0.0004944255,0.03263053,0.8082368,0.003392545,0.0003756768,0.001761938,0.0008480468,0.0002276891,0.009188174,0.1424891,0.0001135974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0036258,0.9382716,0.001089369,0.04836002,0.001795559,0.000411503,0.001750899,0.00003605717,0.004659095],"genre_scores_gemma":[0.08854369,0.8548362,0.0120677,0.03805745,0.002113766,0.00174018,0.002018676,0.00006492881,0.0005575031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0732675,"threshold_uncertainty_score":0.3464732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2051278892055112,"score_gpt":0.4334304557002206,"score_spread":0.2283025664947094,"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."}}