{"id":"W2883075913","doi":"10.1097/01.tp.0000543798.94454.f7","title":"Health Information Management for Clinical Monitoring, Research, and Quality Assurance in Living Kidney Donor Evaluation","year":2018,"lang":"en","type":"article","venue":"Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Quality assurance; Computer science; Audit; Data quality; Data management; Quality management; Medicine; Quality (philosophy); Data science; Data mining; Metric (unit); Operations management; Engineering; Management system","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":[0.05867392,0.0004663174,0.0006432968,0.005610459,0.002084533,0.007559466,0.002111251,0.001168228,0.007022538],"category_scores_gemma":[0.1225453,0.000424782,0.0007743753,0.01011217,0.002169855,0.005633584,0.005527773,0.001760519,0.001510981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00801699,"about_ca_system_score_gemma":0.02450103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551608,"about_ca_topic_score_gemma":0.0134697,"domain_scores_codex":[0.9533278,0.03221598,0.005919927,0.001439809,0.005885931,0.001210565],"domain_scores_gemma":[0.8356376,0.09986677,0.01740862,0.01660527,0.02507414,0.005407543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002271421,0.0002785905,0.03236468,0.002272481,0.00008026437,0.000255477,0.005550676,0.001147463,0.0006408826,0.04445073,0.07372803,0.8390036],"study_design_scores_gemma":[0.0002894751,0.0006950428,0.1244337,0.009839507,0.0002937052,0.001125953,0.009662228,0.00813699,0.005213011,0.06044174,0.7796775,0.0001910132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08667967,0.03646133,0.4379364,0.1679744,0.002539296,0.02608824,0.02284186,0.006864582,0.2126142],"genre_scores_gemma":[0.3246522,0.01243432,0.6226198,0.01045264,0.001339881,0.00971524,0.008744721,0.0004780212,0.009563124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05867392,"threshold_uncertainty_score":0.3103011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2093093476194619,"score_gpt":0.5126262318162164,"score_spread":0.3033168841967545,"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."}}