{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001141746,0.0001904542,0.0002996889,0.0002844314,0.0002000921,0.0002508807,0.0001050451,0.0001906179,0.001250862],"category_scores_gemma":[0.0001116034,0.00008282436,0.0004385177,0.0005121529,0.0001686145,0.0000970332,0.0001546493,0.0002784947,0.0003066182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078082,"about_ca_system_score_gemma":0.0001890581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048904,"about_ca_topic_score_gemma":0.001065018,"domain_scores_codex":[0.9998443,0.00001542421,0.00001286224,0.00004822202,0.00004729203,0.00003177381],"domain_scores_gemma":[0.9999361,0.00001600631,0.00001335252,0.000009736303,0.00001317469,0.0000115966],"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":[0.0002677076,0.00002086543,0.000997146,0.00004950534,0.000008079489,0.0000627863,0.00003333897,0.0001316234,0.9968039,0.00003343331,0.00004872091,0.001542936],"study_design_scores_gemma":[0.0000350044,0.0005995151,0.05137321,0.0000138086,0.00006673261,0.0003509008,0.0002511277,0.003957411,0.9401658,0.000112117,0.003062629,0.00001186901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914342,0.001066954,0.003037698,0.00008833045,0.00004557611,0.00007525605,0.003298887,0.00008327401,0.000869913],"genre_scores_gemma":[0.98338,0.001040678,0.007954302,0.0001529728,0.00001032264,0.0002412059,0.00500898,0.00002228431,0.002189273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001250862,"threshold_uncertainty_score":0.004184544,"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."}}