{"id":"W4200320544","doi":"10.1186/s13048-021-00934-6","title":"Gene cascade analysis in human granulosa tumor cells (KGN) following exposure to high levels of free fatty acids and insulin","year":2021,"lang":"en","type":"article","venue":"Journal of Ovarian Research","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","funders":"","keywords":"Endocrinology; Internal medicine; Hyperinsulinemia; Follicular fluid; Granulosa cell; Fatty acid; Adipose tissue; Fatty acid metabolism; Insulin resistance; Biology; Palmitic acid; Insulin; Lipogenesis; Reproductive technology; Chemistry; Follicular phase; Metabolism; Medicine; Biochemistry; Cell biology; Oocyte; Gene","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":[0.00196228,0.0001202373,0.0004581256,0.0004465058,0.00007577922,0.00004991986,0.0003595006,0.0001282188,0.00009420101],"category_scores_gemma":[0.000335607,0.0001099297,0.0002302666,0.0008953614,0.0000592031,0.00001108004,0.0002457736,0.0003556145,7.803158e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000314786,"about_ca_system_score_gemma":0.0002838832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009569645,"about_ca_topic_score_gemma":0.0002142845,"domain_scores_codex":[0.9978505,0.0004098577,0.0005392952,0.0002724652,0.0005810121,0.0003469077],"domain_scores_gemma":[0.9987534,0.00004169354,0.0001358374,0.0004212662,0.0004413534,0.0002063953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000915604,0.00009714434,0.00758669,0.00003291332,0.0004849567,0.0002271497,0.0002069727,0.0001650774,0.9841837,0.00003671075,0.0002988334,0.006588344],"study_design_scores_gemma":[0.001472687,0.0003206566,0.1031814,0.00003674146,0.0001107243,0.00001506487,0.0002147482,0.000005222602,0.8912517,0.0003127948,0.00296225,0.0001160102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634357,0.0357843,0.0003240388,0.0001214895,0.0001106901,0.00008378781,0.00007620423,9.180986e-7,0.00006288209],"genre_scores_gemma":[0.9943857,0.002264838,0.002812835,0.0001108466,0.0003053994,0.00000440073,0.00001084485,0.00001543347,0.00008969104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09559474,"threshold_uncertainty_score":0.4482802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03428077502400362,"score_gpt":0.3319041666467802,"score_spread":0.2976233916227766,"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."}}