{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410412,0.0001318456,0.0001698823,0.0006980128,0.003494652,0.00145257,0.0007362198,0.00044653,0.005224981],"category_scores_gemma":[0.01039035,0.0004628109,0.0002401553,0.001907535,0.0008059316,0.000500128,0.001119264,0.0006633028,0.0004067859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08961988,"about_ca_system_score_gemma":0.1021809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889101,"about_ca_topic_score_gemma":0.9957564,"domain_scores_codex":[0.9976752,0.0003797809,0.0001666237,0.0002415623,0.0007919451,0.0007448524],"domain_scores_gemma":[0.9904331,0.001243742,0.00154506,0.0002121988,0.00392149,0.002644399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005224959,0.0002309077,0.8702456,0.0002933638,0.00006994165,0.00118758,0.03460627,0.0007868831,0.001767414,0.002271584,0.02372645,0.06429159],"study_design_scores_gemma":[0.00002672278,0.00007556987,0.9722039,0.00007720961,0.0000138246,0.00008048123,0.01171606,0.0003275916,0.0002759519,0.00009506213,0.01509236,0.00001521312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581909,0.00124575,0.0003838905,0.01057809,0.00007226266,0.0001956193,0.002229547,0.00004264697,0.02706123],"genre_scores_gemma":[0.9734491,0.001314538,0.0008358472,0.001373871,0.00003043418,0.00005804652,0.0005271205,0.00002448925,0.02238671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08961988,"threshold_uncertainty_score":0.6502408,"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."}}