{"id":"W4315705493","doi":"10.1097/01.hjh.0000916148.15420.d5","title":"PS-BPP04-2: GEOSTATISTICAL ANALYSIS OF HYPERTENSION IN CANADIAN POPULATION","year":2023,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Medicine; Quarter (Canadian coin); Population; Community health; Demography; Population health; Environmental health; Ethnic group; Health care; Spatial analysis; Trend analysis; Public health; Geography; Gerontology; Statistics; Economic growth","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":[0.003734579,0.0009658806,0.0008694673,0.005278292,0.002108736,0.001994038,0.001715251,0.0004100314,0.01081979],"category_scores_gemma":[0.02046716,0.0004124054,0.002327889,0.007784745,0.000658383,0.0004846081,0.001732211,0.001011075,0.0009532393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008351307,"about_ca_system_score_gemma":0.05548151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9501676,"about_ca_topic_score_gemma":0.9324349,"domain_scores_codex":[0.9964748,0.0008200162,0.0002961579,0.0004785528,0.001461921,0.0004685754],"domain_scores_gemma":[0.9922358,0.002135149,0.0005741516,0.0005513696,0.004017807,0.0004856471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005279593,0.0002046227,0.729239,0.0008825815,0.001508572,0.0003630011,0.001781668,0.01688988,0.001349771,0.007375503,0.1377203,0.1021571],"study_design_scores_gemma":[0.0001178615,0.0001702494,0.8602795,0.0002442122,0.0004130585,0.0002348843,0.00213503,0.08528308,0.001125529,0.002133092,0.04773827,0.0001252015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5104662,0.001382929,0.09438206,0.00387462,0.0005996315,0.002875872,0.3502091,0.01143006,0.02477967],"genre_scores_gemma":[0.7834728,0.000909697,0.1275711,0.0003006865,0.0001119442,0.0022555,0.07611819,0.0009773655,0.008282696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0498324,"threshold_uncertainty_score":0.1002517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0852090304783257,"score_gpt":0.3456311689973803,"score_spread":0.2604221385190546,"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."}}