{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001519341,0.00005147992,0.0001209172,0.0001905541,0.0001078964,0.00003387422,0.0004079277,0.00002502497,0.00001853297],"category_scores_gemma":[0.003294355,0.00004172139,0.00000905708,0.0002032025,0.0001116537,0.0007462446,0.0001036965,0.00008921616,5.453029e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095654,"about_ca_system_score_gemma":0.002489666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7745289,"about_ca_topic_score_gemma":0.6581857,"domain_scores_codex":[0.9984757,0.00002703656,0.0004313623,0.0002151125,0.0006920045,0.0001588177],"domain_scores_gemma":[0.9983594,0.0001749443,0.0001994096,0.0002192834,0.0008684255,0.0001785358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005990495,0.00002559884,0.9797471,0.0000648502,0.000004540497,0.00001463629,0.0001292198,0.000003310561,0.0002927165,0.001123517,0.001011617,0.01752305],"study_design_scores_gemma":[0.0004301241,0.00009508853,0.9818544,0.0003331172,0.000003188631,0.0003591926,0.00003757218,0.01209001,0.00004384254,0.0001268721,0.004584229,0.00004238205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923113,0.00004895243,0.000281892,0.005758367,0.001248438,0.0002070945,0.00006686449,0.000002191058,0.0000748816],"genre_scores_gemma":[0.9977655,0.00008027974,0.001167502,0.0006043671,0.0002782486,0.0000020696,0.00003018446,0.000003412748,0.00006845083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1163432,"threshold_uncertainty_score":0.4416561,"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."}}