{"id":"W2886902670","doi":"10.1186/s41512-018-0042-5","title":"Chronic Disease Population Risk Tool (CDPoRT): a study protocol for a prediction model that assesses population-based chronic disease incidence","year":2018,"lang":"en","type":"article","venue":"Diagnostic and Prognostic Research","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Institute for Clinical Evaluative Sciences; Trillium Health Centre; University of Toronto; Toronto Public Health","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Population; Cohort; Disease; Incidence (geometry); Cohort study; Environmental health; Internal medicine","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":[0.06185529,0.001545538,0.001689633,0.002280333,0.003080488,0.002117973,0.004544992,0.002332876,0.03983776],"category_scores_gemma":[0.08191938,0.002089874,0.002897289,0.003542773,0.001092784,0.001818742,0.00348482,0.004598718,0.009552309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005600975,"about_ca_system_score_gemma":0.03267978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0307837,"about_ca_topic_score_gemma":0.03346265,"domain_scores_codex":[0.973581,0.01669418,0.004150329,0.001404439,0.003443948,0.0007261395],"domain_scores_gemma":[0.9474094,0.01754295,0.004458299,0.008445959,0.02015397,0.001989441],"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":[0.01075114,0.005227922,0.04485878,0.006675547,0.0008584177,0.0005260304,0.002009127,0.007798318,0.001000333,0.01564738,0.646484,0.258163],"study_design_scores_gemma":[0.02682662,0.005913766,0.1130298,0.007484603,0.0009541708,0.0005706173,0.001403555,0.01631828,0.003015037,0.01589958,0.8080074,0.0005766232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.005223019,0.0002577319,0.04357528,0.001544492,0.0003768166,0.8509696,0.09005957,0.0009622395,0.007031246],"genre_scores_gemma":[0.005109991,0.0001652914,0.02902948,0.0003413502,0.00004055591,0.9420349,0.02175337,0.0000769961,0.001448105],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06185529,"threshold_uncertainty_score":0.3271259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300167117905074,"score_gpt":0.4594734836628013,"score_spread":0.3294567718722939,"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."}}