{"id":"W7133071508","doi":"","title":"Automated Diagnosis of Liver Allograft Fibrosis using Machine Learning Approaches","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial neural network; Support vector machine; Data set; Test set; Training set; Field (mathematics); Test data; Ultrasound","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":[0.002638084,0.0006226235,0.0003724653,0.001469257,0.0002013723,0.0007501213,0.0003506401,0.0004834145,0.0009824375],"category_scores_gemma":[0.005885779,0.0001378803,0.0004222319,0.0003712369,0.0002741037,0.0005054387,0.000380956,0.000593934,0.000481169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006106368,"about_ca_system_score_gemma":0.0006725265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727705,"about_ca_topic_score_gemma":0.003322667,"domain_scores_codex":[0.9991215,0.0003892857,0.00006463435,0.0001391989,0.0002284979,0.00005690438],"domain_scores_gemma":[0.9977698,0.00110561,0.0003828363,0.0001499376,0.0005281116,0.00006365016],"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":[0.0006532847,0.0008838691,0.4180889,0.0002440138,0.0002802193,0.0002728674,0.00017977,0.07155583,0.01595122,0.0006779513,0.002554819,0.4886574],"study_design_scores_gemma":[0.00007168704,0.0008745492,0.1428572,0.0001548502,0.0001323235,0.0005240399,0.0001623809,0.8317256,0.01811735,0.002841268,0.002493602,0.00004509549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875777,0.002562788,0.113263,0.001166251,0.0001050681,0.0002526439,0.0007190892,0.0009463451,0.005207808],"genre_scores_gemma":[0.9678031,0.0002881453,0.03033982,0.0001275035,0.00004418889,0.00003980326,0.0004945153,0.000009413456,0.0008536059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002638084,"threshold_uncertainty_score":0.01395172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1645293965570573,"score_gpt":0.3285395390786185,"score_spread":0.1640101425215612,"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."}}