{"id":"W2025548906","doi":"10.1016/j.hcmf.2013.11.002","title":"Health Information Management for Research and Quality Assurance: The Comprehensive Renal Transplant Research Information System","year":2014,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"University of Minnesota","keywords":"Multidisciplinary approach; Medicine; Renal transplant; Quality assurance; Information system; Health care; Multidisciplinary team; Health information; Knowledge management; Transplantation; Nursing; Computer science; Pathology; Internal medicine; Engineering","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":[0.100682,0.0007432763,0.001601679,0.01052103,0.002798344,0.0127366,0.003635615,0.002530471,0.01093545],"category_scores_gemma":[0.1340683,0.001035597,0.0009239656,0.0182094,0.002152179,0.01119531,0.009076528,0.003414684,0.00878801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00962144,"about_ca_system_score_gemma":0.06325968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136265,"about_ca_topic_score_gemma":0.0178006,"domain_scores_codex":[0.9341853,0.03331213,0.01134558,0.003307691,0.01558542,0.002263913],"domain_scores_gemma":[0.7474501,0.0942679,0.02216086,0.04723633,0.06372132,0.02516356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003302713,0.0004255158,0.02637693,0.00129162,0.0002105666,0.0001767254,0.002459583,0.0007492068,0.002320601,0.02835011,0.3979792,0.5393296],"study_design_scores_gemma":[0.0004769195,0.0005115384,0.0553045,0.002384194,0.0002446923,0.0004551157,0.001654548,0.007721462,0.003454223,0.01986264,0.9076399,0.0002903154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04110299,0.02286138,0.3553857,0.2887366,0.003924342,0.01507831,0.05232397,0.07139041,0.1491963],"genre_scores_gemma":[0.1928292,0.01349451,0.6517973,0.03080725,0.005278027,0.006544725,0.06540626,0.003120609,0.0307222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.100682,"threshold_uncertainty_score":0.5324637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2104656133875541,"score_gpt":0.5122838121650759,"score_spread":0.3018181987775218,"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."}}