{"id":"W4392012870","doi":"10.1136/jech-2023-221080","title":"Modeling chronic disease risk across equity factors using a population-based prediction model: the Chronic Disease Population Risk Tool (CDPoRT)","year":2024,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Trillium Health Centre; Public Health Ontario; University of Toronto","funders":"University of Toronto; Canada Research Chairs","keywords":"Disease; Population; Equity (law); Medicine; Chronic disease; Econometrics; Actuarial science; Internal medicine; Environmental health; Economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002546758,0.0009821085,0.0007399578,0.001363473,0.0008054225,0.001200786,0.001374963,0.0006919965,0.002123753],"category_scores_gemma":[0.006825901,0.0003792804,0.001303492,0.00121648,0.0003738541,0.0005611318,0.001132258,0.001049435,0.0002263988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004886535,"about_ca_system_score_gemma":0.01121551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6843694,"about_ca_topic_score_gemma":0.5729243,"domain_scores_codex":[0.9992236,0.000297112,0.00005012097,0.0001841263,0.000135744,0.0001092516],"domain_scores_gemma":[0.9980555,0.0009081839,0.0002301975,0.00008177217,0.0005456175,0.0001788074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002341446,0.0002583643,0.5115047,0.0001992052,0.0006932179,0.0002132992,0.0003683637,0.4145968,0.0002090557,0.004563465,0.01072768,0.0564318],"study_design_scores_gemma":[0.0000902456,0.0001109558,0.04645593,0.0001063893,0.000201232,0.00009305011,0.0001966155,0.9457064,0.0001075614,0.003578598,0.003311171,0.00004185738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7671402,0.001747415,0.1849635,0.007214969,0.0002145101,0.001014504,0.02476922,0.001290623,0.01164501],"genre_scores_gemma":[0.9501764,0.0004646712,0.04081538,0.0002884491,0.00006151466,0.0003274732,0.006212903,0.00003852474,0.001614796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6843694,"threshold_uncertainty_score":0.6349788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1680590694719636,"score_gpt":0.4761269143557307,"score_spread":0.3080678448837672,"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."}}