{"id":"W4309214396","doi":"10.3389/frai.2022.1050439","title":"Artificial intelligence applied to omics data in liver diseases: Enhancing clinical predictions","year":2022,"lang":"en","type":"review","venue":"Frontiers in Artificial Intelligence","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University; University Health Network","funders":"","keywords":"Omics; Machine learning; Artificial intelligence; Predictive modelling; Computer science; Support vector machine; Clinical Practice; Bioinformatics; Medicine; Biology","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":[0.001327535,0.0007762861,0.002819506,0.001145095,0.0002020141,0.0001198885,0.001425859,0.0004231617,0.0006391651],"category_scores_gemma":[0.001171902,0.0007551108,0.0006069586,0.002065636,0.0002758388,0.0001859408,0.001160467,0.001426647,0.0004205963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296285,"about_ca_system_score_gemma":0.001414305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001856014,"about_ca_topic_score_gemma":0.0004392017,"domain_scores_codex":[0.9924299,0.0004394813,0.003339433,0.002169322,0.0007627278,0.0008591082],"domain_scores_gemma":[0.9956465,0.0008742553,0.000467947,0.002261404,0.00006138976,0.0006884711],"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":[0.0002632654,0.00285259,0.0007995676,0.001732841,0.0002865517,0.000472967,0.0003114375,0.0001748514,7.602643e-8,0.001143989,0.001457484,0.9905044],"study_design_scores_gemma":[0.00012624,0.0008616436,0.0004286024,0.01108954,0.005924702,0.00003607885,0.004150747,0.01098186,0.00004688564,0.007325182,0.9569138,0.002114671],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005728797,0.9247658,0.06310715,0.0001291437,0.004511439,0.005103011,0.001825831,0.0001288506,0.0003715303],"genre_scores_gemma":[0.001349162,0.9880257,0.005324099,0.000249153,0.000875892,0.001412998,0.002599459,0.0001224723,0.0000410416],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9883897,"threshold_uncertainty_score":0.99949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2228771536836415,"score_gpt":0.4239222977006327,"score_spread":0.2010451440169911,"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."}}