{"id":"W4200581152","doi":"10.1016/j.repbio.2021.100598","title":"Transcriptomic analysis of MA-10 tumor Leydig cells treated with adipose derived hormones adiponectin and resistin","year":2021,"lang":"en","type":"article","venue":"Reproductive Biology","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Resistin; Adiponectin; Internal medicine; Endocrinology; Transcriptome; Adipose tissue; Hormone; Leydig cell; Adipocyte; Biology; Downregulation and upregulation; Testosterone (patch); Steroidogenic acute regulatory protein; Gene expression; Gene; Luteinizing hormone; Medicine; Obesity; Insulin resistance; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001928203,0.0002042095,0.0008036095,0.0003084241,0.0000600419,0.000006324135,0.00005286526,0.00007565528,0.000221804],"category_scores_gemma":[0.0003896522,0.0001549441,0.000140974,0.0008443751,0.0003321434,0.00005359741,0.00001870606,0.00008189201,0.000004959382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002648391,"about_ca_system_score_gemma":0.0001874771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00019216,"about_ca_topic_score_gemma":0.0001060274,"domain_scores_codex":[0.998383,0.0001893642,0.0003612584,0.0007432165,0.00009805189,0.0002251141],"domain_scores_gemma":[0.9985572,0.00008442744,0.0001897232,0.0005616473,0.0004821659,0.0001248506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002070377,0.0002439871,0.06478512,0.00008503069,0.00329481,0.00006802261,0.000528549,0.00001668071,0.9264838,0.0002079521,0.0001007678,0.002114985],"study_design_scores_gemma":[0.001128577,0.0002946546,0.5642515,0.00002651358,0.00612673,0.00006470172,0.0002856218,0.00002910916,0.4245622,0.00003498642,0.003042071,0.0001533292],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917679,0.006717904,0.0001063253,0.0003081208,0.00005459566,0.0002922665,0.00009681941,0.00004930291,0.0006067829],"genre_scores_gemma":[0.9967932,0.000317617,0.0007446865,0.00006250109,0.0001656597,0.00002726563,0.0002350158,0.00001951358,0.001634619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5019215,"threshold_uncertainty_score":0.6318438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401386790828048,"score_gpt":0.2537073519805255,"score_spread":0.239693484072245,"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."}}