{"id":"W4396230545","doi":"10.3390/metabo14050254","title":"Harnessing Metabolites as Serum Biomarkers for Liver Graft Pathology Prediction Using Machine Learning","year":2024,"lang":"en","type":"article","venue":"Metabolites","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"American Society of Transplantation","keywords":"Pathology; Medicine; Computer science","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":[0.001966351,0.001271185,0.0009891434,0.001583704,0.0001997046,0.001318943,0.0003205738,0.0007013688,0.0004549065],"category_scores_gemma":[0.003414521,0.0002424251,0.0007337456,0.000921352,0.0002266376,0.0008316502,0.0005653403,0.0006912592,0.0004120841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003074657,"about_ca_system_score_gemma":0.0005320041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106832,"about_ca_topic_score_gemma":0.001152691,"domain_scores_codex":[0.9992746,0.0003543992,0.00006166916,0.0001503498,0.0001104607,0.00004857731],"domain_scores_gemma":[0.9986975,0.0007074787,0.0002830966,0.00007809734,0.0001786524,0.00005518445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00163843,0.0008968338,0.3473896,0.0003729635,0.001047221,0.0003206616,0.00009222906,0.1242558,0.04768619,0.0006277141,0.001352599,0.4743197],"study_design_scores_gemma":[0.00003461283,0.0009337949,0.04281296,0.00005710261,0.0003034631,0.000256297,0.0000478474,0.929544,0.02262501,0.002072975,0.001250232,0.00006171333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7186068,0.007923799,0.2674175,0.0009657933,0.0001451357,0.0001617892,0.001332011,0.001694113,0.001753159],"genre_scores_gemma":[0.9588158,0.0008609982,0.03908978,0.0001500305,0.00007450191,0.00005486474,0.0005428367,0.00002149063,0.0003897833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966351,"threshold_uncertainty_score":0.01039922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645259125315863,"score_gpt":0.29626886886453,"score_spread":0.2698162776113714,"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."}}