{"id":"W2892341091","doi":"10.23889/ijpds.v3i4.625","title":"Prevalence and incidence of diagnosed hypertension in Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Incidence (geometry); Population; Health care; Estimation; Timeline; Demography; Psychological intervention; Public health; Family medicine; Environmental health; Pediatrics; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009921773,0.0003299249,0.0002685243,0.003091364,0.001821521,0.001702557,0.001722412,0.0003485059,0.004524253],"category_scores_gemma":[0.002981087,0.000252625,0.0005120609,0.004949733,0.0006951691,0.000318413,0.0007197799,0.0006154504,0.0004498346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03991452,"about_ca_system_score_gemma":0.07133459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972171,"about_ca_topic_score_gemma":0.9974467,"domain_scores_codex":[0.9976666,0.0001182719,0.0001096312,0.0002096159,0.001460071,0.0004357557],"domain_scores_gemma":[0.9959733,0.0001753079,0.0004665106,0.00006728213,0.002307286,0.001010395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001390995,0.00005464282,0.9357112,0.0003239735,0.0001076191,0.0002196512,0.0005923517,0.0005087251,0.0002712687,0.0007951329,0.03223098,0.02904542],"study_design_scores_gemma":[0.00001959268,0.00002511693,0.9917395,0.0001779016,0.00004244014,0.0001369994,0.0006906448,0.0004841619,0.00009411197,0.0001166519,0.006456181,0.00001672813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7352607,0.01961925,0.002539963,0.01043206,0.0007143635,0.0005934166,0.1587255,0.0006908369,0.07142396],"genre_scores_gemma":[0.9529723,0.006101744,0.002181455,0.001222048,0.0001408506,0.0001102754,0.02589913,0.00003731967,0.01133503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03991452,"threshold_uncertainty_score":0.2896014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06724514181942795,"score_gpt":0.4009796097472367,"score_spread":0.3337344679278087,"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."}}