{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1313945,0.002046119,0.003225886,0.01340486,0.002620813,0.01731771,0.007022465,0.004144939,0.005370844],"category_scores_gemma":[0.1545127,0.001840528,0.004434529,0.02176244,0.008087986,0.03331054,0.02355081,0.008356103,0.002736496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221676,"about_ca_system_score_gemma":0.008085833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058963,"about_ca_topic_score_gemma":0.001211412,"domain_scores_codex":[0.897457,0.06056918,0.01350063,0.008866248,0.01800875,0.001598164],"domain_scores_gemma":[0.853109,0.07343461,0.009983446,0.04620469,0.01423181,0.003036451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001912386,0.0002227746,0.002665139,0.001569414,0.0004061302,0.0003572644,0.00243506,0.0090902,0.001388299,0.5200848,0.02624911,0.4353406],"study_design_scores_gemma":[0.00009229901,0.0001039667,0.001454808,0.002053584,0.0001235129,0.0004192142,0.001328568,0.02626484,0.001966564,0.7058263,0.2601445,0.0002217147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001570193,0.004928879,0.9693598,0.01336335,0.0006905515,0.0005742699,0.0008399828,0.002906657,0.005766269],"genre_scores_gemma":[0.01911686,0.004048031,0.9693764,0.00193413,0.0007396837,0.0008691686,0.002465869,0.0005930398,0.0008568268],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1313945,"threshold_uncertainty_score":0.6948886,"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."}}