{"id":"W3081046955","doi":"10.1136/bmjhci-2020-100161","title":"Primary care EMR and administrative data linkage in Alberta, Canada: describing the suitability for hypertension surveillance","year":2020,"lang":"en","type":"article","venue":"BMJ Health & Care Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions; Public Health Agency; Public Health Agency of Canada; Alberta Health Services","keywords":"Medicine; Cohort; Family medicine; Health care; Record linkage; Population; Medical emergency; Ambulatory care; Medical record; Pharmacy; Emergency medicine; Environmental health; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002618512,0.0002876931,0.0008108431,0.00004270421,0.001121071,0.00002255846,0.0005784212,0.0002284062,0.000005548809],"category_scores_gemma":[0.002497102,0.0002188929,0.00003514658,0.0003053349,0.00006288989,0.000294169,0.0003924089,0.001154596,0.000007198968],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002698812,"about_ca_system_score_gemma":0.03143255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5280468,"about_ca_topic_score_gemma":0.9701294,"domain_scores_codex":[0.9945683,0.0009691556,0.002402596,0.0003583702,0.0004623518,0.001239209],"domain_scores_gemma":[0.9928506,0.004209265,0.0009014967,0.001006013,0.0005142568,0.000518359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005835138,0.00003673544,0.2778889,0.09906496,0.0000556042,0.00001148296,0.4546448,0.00004874204,0.000002378002,0.0005453669,0.103515,0.06360257],"study_design_scores_gemma":[0.003863448,0.0009898361,0.1092413,0.002519965,0.00002440103,0.00002607916,0.4700569,0.01562995,0.000003631257,0.0000176811,0.3968613,0.000765521],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7605044,0.01567376,0.001962169,0.1613296,0.003399053,0.04529598,0.005742091,0.0002536477,0.005839228],"genre_scores_gemma":[0.957002,0.0002573655,0.001808521,0.03845419,0.0003891837,0.0005061563,0.001516007,0.00004113192,0.00002545615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4420826,"threshold_uncertainty_score":0.9740583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2450275826951258,"score_gpt":0.4239528738553403,"score_spread":0.1789252911602144,"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."}}