{"id":"W2151571185","doi":"10.1136/bmjopen-2014-006701","title":"Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol","year":2014,"lang":"en","type":"article","venue":"BMJ Open","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; Sunnybrook Health Science Centre; Public Health Ontario; University of Toronto; Statistics Canada; Institute for Clinical Evaluative Sciences; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Population; Protocol (science); Disease; Overfitting; Missing data; Risk assessment; Population health; Environmental health; Alternative medicine; Computer science; Machine learning","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":[0.05554943,0.002092973,0.001927599,0.003216171,0.00197099,0.002140857,0.002709603,0.00251376,0.03965158],"category_scores_gemma":[0.08614564,0.002100121,0.002833321,0.003271682,0.001232246,0.00219419,0.002816821,0.003592983,0.0140653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002946845,"about_ca_system_score_gemma":0.01680416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898285,"about_ca_topic_score_gemma":0.002543076,"domain_scores_codex":[0.973377,0.0170152,0.005121696,0.001511506,0.002449823,0.0005246652],"domain_scores_gemma":[0.9670144,0.01158355,0.00445365,0.003498393,0.01236478,0.001085319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01006606,0.002686535,0.01922328,0.01202671,0.0006435901,0.0005034105,0.0008723142,0.008718099,0.001407019,0.0116897,0.4520375,0.4801258],"study_design_scores_gemma":[0.04777708,0.007358823,0.06422528,0.02346389,0.001606665,0.00184109,0.0009654089,0.05914029,0.007308911,0.04285043,0.7425858,0.0008762645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.004306437,0.0007204758,0.1022344,0.002710563,0.0007144846,0.830204,0.05029274,0.001798073,0.007018924],"genre_scores_gemma":[0.004482562,0.0003104922,0.0797611,0.0005470464,0.00007608315,0.901575,0.01151085,0.0001087839,0.001628128],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05554943,"threshold_uncertainty_score":0.293777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318239337642758,"score_gpt":0.4478610010856269,"score_spread":0.3746786077091994,"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."}}