{"id":"W3169561617","doi":"10.2196/26398","title":"Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Random forest; Artificial intelligence; Support vector machine; Machine learning; Naive Bayes classifier; Computer science; Feature selection; Test set; Receiver operating characteristic; AdaBoost; Decision tree; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007947568,0.002732128,0.00215152,0.002365086,0.0008546171,0.001537342,0.002665859,0.002062317,0.002012734],"category_scores_gemma":[0.01157819,0.0005769377,0.003140526,0.001728442,0.000456295,0.001577099,0.00157709,0.003278165,0.0008144442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258748,"about_ca_system_score_gemma":0.002559574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05721441,"about_ca_topic_score_gemma":0.03526276,"domain_scores_codex":[0.9982918,0.0006938349,0.0001808645,0.0005088158,0.0001582041,0.0001665628],"domain_scores_gemma":[0.9927979,0.005010724,0.0003013741,0.0005663579,0.001056152,0.0002676022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002263369,0.002189622,0.07651205,0.0006743823,0.00176117,0.0003955904,0.0001505557,0.7558753,0.00108075,0.0006640457,0.02021961,0.1382136],"study_design_scores_gemma":[0.00006386221,0.0001920437,0.003859646,0.00002828336,0.00008844745,0.00003887627,0.00004876498,0.9945421,0.0003272929,0.0003743342,0.0004139495,0.00002243607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828096,0.008049587,0.07696195,0.002917553,0.0007647296,0.001016924,0.01886398,0.005564115,0.003051493],"genre_scores_gemma":[0.8783895,0.001350117,0.079555,0.0004872833,0.0001945,0.001012839,0.03719712,0.0001825527,0.001631212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05721441,"threshold_uncertainty_score":0.1137628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058610032773018,"score_gpt":0.3018508174580428,"score_spread":0.2712647171303126,"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."}}