{"id":"W3047917416","doi":"10.12927/hcq.2020.26271","title":"Supporting Asthma and COPD Best Practices in Ontario through Primary Care Electronic Medical Records","year":2020,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER; Kingston General Hospital","funders":"","keywords":"COPD; Asthma; Medicine; Medical record; Primary care; Electronic medical record; Pulmonary disease; Best practice; Work (physics); Family medicine; Asthma management; Medical emergency; Internal medicine; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002417392,0.0004358756,0.001042778,0.0001207237,0.000744692,0.0000315082,0.0004049762,0.0008716658,0.0006827815],"category_scores_gemma":[0.0005794026,0.0004328951,0.00008417982,0.0004817384,0.00007927975,0.0005734819,0.00008092258,0.005665979,0.0003644686],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004259591,"about_ca_system_score_gemma":0.03040752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5736558,"about_ca_topic_score_gemma":0.9469163,"domain_scores_codex":[0.9902344,0.002583082,0.002264563,0.001100298,0.0009609971,0.002856715],"domain_scores_gemma":[0.9953272,0.001143719,0.001631256,0.0004840071,0.0003119251,0.00110186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000539129,0.0001193558,0.5803713,0.01183807,0.00004257562,0.0002232597,0.2711802,2.600159e-7,0.00002927787,0.002789138,0.00396466,0.1289028],"study_design_scores_gemma":[0.004347928,0.01050528,0.06015913,0.00306973,0.00003048721,0.0001356765,0.1224943,0.0001662944,0.000003216258,0.0007201518,0.7974612,0.0009065695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865713,0.01023823,0.0001493994,0.08421732,0.001254807,0.003625552,0.00002470079,0.0003052493,0.01361341],"genre_scores_gemma":[0.9735188,0.0005198703,0.0004266373,0.02279727,0.001079114,0.0005138234,0.000150885,0.0001038287,0.0008896993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7934965,"threshold_uncertainty_score":0.9998123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08788826326469754,"score_gpt":0.4447173243145791,"score_spread":0.3568290610498815,"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."}}