{"id":"W4397017976","doi":"10.1097/tp.0000000000005048","title":"New Tools for Data Harmonization and Their Potential Applications in Organ Transplantation","year":2024,"lang":"en","type":"review","venue":"Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi; European Commission","keywords":"Harmonization; Computer science; Multitude; Data sharing; Transplantation; Data science; Data quality; Data integration; Risk analysis (engineering); Medicine; Data mining; Political science; Engineering; Operations management; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002680006,0.0004675759,0.0008796898,0.0006143035,0.00009911408,0.0001770567,0.0001994205,0.0003831181,0.00005191798],"category_scores_gemma":[0.000008407654,0.000378773,0.0001575975,0.0006383074,0.00003221349,0.0005842675,0.00001073416,0.0003209906,0.00004603139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008360454,"about_ca_system_score_gemma":0.000449544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004124497,"about_ca_topic_score_gemma":0.0001689949,"domain_scores_codex":[0.9978281,0.00006807441,0.0008111827,0.0008118376,0.0002116399,0.0002692181],"domain_scores_gemma":[0.9989758,0.0002544695,0.0001717598,0.0003906139,0.00006735978,0.0001400319],"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":[0.000154696,0.00006734764,0.00001346381,0.07086116,0.0001907384,0.00002963064,0.001568037,0.000002853373,0.00006888858,0.00108184,0.0001240682,0.9258373],"study_design_scores_gemma":[0.0135816,0.0005029786,0.001244325,0.04692116,0.04668964,0.003352505,0.0006578175,0.003776234,0.000715716,0.001721901,0.8782028,0.002633301],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005207609,0.6661217,0.3269347,0.0001439079,0.0001866775,0.003673502,0.002641494,0.0001419472,0.0001040201],"genre_scores_gemma":[0.0008934394,0.9126152,0.003383814,0.00003767932,0.0002600522,0.0002428413,0.08221011,0.0001089177,0.0002478947],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9232039,"threshold_uncertainty_score":0.9998664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08775348348029033,"score_gpt":0.3630747921033997,"score_spread":0.2753213086231093,"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."}}