{"id":"W4412902150","doi":"10.56367/oag-047-11859","title":"Unravelling NASH and insulin resistance: Insights from the department of human health and nutritional sciences","year":2025,"lang":"en","type":"article","venue":"Open Access Government","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Insulin resistance; Resistance (ecology); Insulin; Medicine; Biology; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001184699,0.00008931103,0.000204889,0.00001438681,0.0003206044,0.000215809,0.0002278296,0.00001703816,0.0000404714],"category_scores_gemma":[0.00001477507,0.00005602647,0.00002216297,0.0001085791,0.0001354564,0.0001673938,0.0004271053,0.00004080585,5.65614e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660522,"about_ca_system_score_gemma":0.0001701447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006009531,"about_ca_topic_score_gemma":0.0003933321,"domain_scores_codex":[0.9990036,0.0000441731,0.0002059703,0.0002599077,0.0003926103,0.00009370607],"domain_scores_gemma":[0.9994935,0.0001425752,0.0001079105,0.0001456339,0.00002174353,0.0000886856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000657389,0.002204685,0.8679869,0.0004334877,0.0006762337,0.00002587566,0.001086287,0.000002857753,0.0002321486,0.09813783,0.0178315,0.01072479],"study_design_scores_gemma":[0.002798436,0.0002163322,0.9755834,0.001066125,0.0001066959,3.774357e-7,0.0008873901,0.00001090793,0.003228006,0.006518436,0.009509524,0.00007432754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965225,0.0199555,0.00001147947,0.006720294,0.00003698446,0.001007231,0.0001876318,0.00000388726,0.006851953],"genre_scores_gemma":[0.993668,0.003680145,0.0003423342,0.001977241,0.00002125171,0.0001015784,0.00003923022,0.000003345156,0.0001668742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1075965,"threshold_uncertainty_score":0.2465862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493278142304879,"score_gpt":0.381539962078717,"score_spread":0.3322121478482292,"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."}}