{"id":"W2318989263","doi":"10.1017/s1748499500000476","title":"A Model for Ischaemic Heart Disease and Stroke III: Applications","year":2008,"lang":"en","type":"article","venue":"Annals of Actuarial Science","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua","funders":"","keywords":"Ischaemic heart disease; Stroke (engine); Medicine; Body mass index; Ischaemic stroke; Diabetes mellitus; Obesity; Disease; Physical therapy; Cardiology; Intensive care medicine; Internal medicine; Engineering; Ischemia","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":[0.00226419,0.001173959,0.0016462,0.000700416,0.0005927667,0.001941546,0.002479025,0.003088508,0.01166658],"category_scores_gemma":[0.008286252,0.0005536041,0.001489959,0.001372969,0.001111075,0.001367991,0.002192191,0.002624233,0.0012605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226952,"about_ca_system_score_gemma":0.001808021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02534723,"about_ca_topic_score_gemma":0.01069128,"domain_scores_codex":[0.9990125,0.0005524075,0.00003872537,0.0001575836,0.000107741,0.0001310427],"domain_scores_gemma":[0.9966979,0.002347785,0.000263287,0.0001583459,0.0003083443,0.0002243729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007322775,0.00009588409,0.001672325,0.00009108293,0.00009836839,0.0002249447,0.00009204004,0.7278121,0.0001980741,0.2521551,0.008276603,0.009210238],"study_design_scores_gemma":[0.00004167977,0.00002731805,0.0003594921,0.00002432159,0.00001884078,0.00005616821,0.00002580304,0.9055513,0.00003345351,0.09106009,0.002786387,0.00001505284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07344452,0.006908866,0.8480932,0.01591589,0.0008942719,0.0002605911,0.003435005,0.0006394307,0.05040828],"genre_scores_gemma":[0.8640651,0.006064447,0.06096848,0.001971867,0.001120708,0.0006582508,0.00172385,0.000225219,0.06320221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02534723,"threshold_uncertainty_score":0.05039936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1557926086143908,"score_gpt":0.3654643300794118,"score_spread":0.209671721465021,"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."}}