{"id":"W2244921958","doi":"","title":"Delivery of laboratory results to family physician EMRs in Ontario","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Family medicine; Medicine; Data science; Genealogy; Medical education; Computer science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007410107,0.0002442425,0.0008478281,0.0002095955,0.00002231014,0.00001661226,0.0001377513,0.0005545016,0.000119059],"category_scores_gemma":[0.000730935,0.000218065,0.0001424847,0.0003543668,0.00002132159,0.0001099276,0.00001707936,0.001381844,0.0001054839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204595,"about_ca_system_score_gemma":0.001893886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05691973,"about_ca_topic_score_gemma":0.7751397,"domain_scores_codex":[0.9977836,0.00008812895,0.001057812,0.000445316,0.0004030514,0.0002220693],"domain_scores_gemma":[0.997636,0.0004443312,0.0004590715,0.0005620529,0.0006984638,0.0002000393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0871724,0.007273354,0.0221728,0.002024796,0.001272673,0.0004897047,0.01724808,0.0000213988,0.727371,0.003763504,0.04684946,0.08434086],"study_design_scores_gemma":[0.006222718,0.001086778,0.5919668,0.00097414,0.0004313628,2.633594e-7,0.004335345,0.00001361003,0.006268535,0.00005595367,0.3880768,0.0005676606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362543,0.00009587531,7.680653e-7,0.000479295,0.0006804931,0.0005785155,0.0001106065,0.00002538603,0.06177475],"genre_scores_gemma":[0.943616,0.00005393964,0.001169703,0.01676293,0.0003671948,0.0000476821,0.001506056,0.00007252632,0.03640394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7211024,"threshold_uncertainty_score":0.9493603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691834734879993,"score_gpt":0.3526481225100841,"score_spread":0.3157297751612841,"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."}}