{"id":"W4205112430","doi":"10.21203/rs.3.rs-1197860/v1","title":"Metabolic Stress Index Including Mitochondrial Biomarker for Noninvasive Diagnosis of Hepatic Steatosis","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Ministry of Science and ICT, South Korea","keywords":"Steatosis; Biomarker; Index (typography); Internal medicine; Medicine; Chemistry; Computer science; Biochemistry","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":[0.000514882,0.0005807534,0.0006523451,0.001089411,0.0001696537,0.001028039,0.0002513063,0.0004773412,0.003518801],"category_scores_gemma":[0.001363444,0.0001500624,0.0003041084,0.0006678288,0.0002005231,0.0004953293,0.0005231714,0.0004981943,0.001200597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192951,"about_ca_system_score_gemma":0.0002776312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002654236,"about_ca_topic_score_gemma":0.0003118588,"domain_scores_codex":[0.9997551,0.00006922379,0.00001680148,0.00005166439,0.00008435899,0.00002285178],"domain_scores_gemma":[0.9997192,0.00008087976,0.00005718991,0.00003394972,0.00007262457,0.00003622213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006634947,0.001047213,0.2516505,0.001267105,0.000875986,0.001749785,0.0003376151,0.004988922,0.219981,0.006431296,0.01605674,0.4889788],"study_design_scores_gemma":[0.0004588492,0.003202262,0.5444152,0.0003919946,0.001409894,0.007385642,0.000726319,0.1191433,0.2412181,0.05238306,0.02904894,0.0002163687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8350242,0.02399862,0.1041178,0.003809571,0.001998969,0.0003460862,0.006509245,0.001118783,0.02307663],"genre_scores_gemma":[0.9527411,0.003898749,0.03276046,0.0002738081,0.000731884,0.000131776,0.002271464,0.0001046616,0.007086104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003518801,"threshold_uncertainty_score":0.0117715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134918127114481,"score_gpt":0.4218578041783362,"score_spread":0.308365991466888,"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."}}