{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000951458,0.0001825421,0.0003676213,0.0003405709,0.0003251555,0.0004041989,0.0001122743,0.0001804239,0.002049436],"category_scores_gemma":[0.00008517179,0.0001081634,0.0004204914,0.000564012,0.0001974791,0.0001473261,0.0001885852,0.0004623279,0.0003694441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441446,"about_ca_system_score_gemma":0.0002612588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012995,"about_ca_topic_score_gemma":0.001956901,"domain_scores_codex":[0.9998757,0.000008775041,0.000007698117,0.00003878737,0.00003359243,0.0000354385],"domain_scores_gemma":[0.9999459,0.00001601493,0.000009187992,0.000005254868,0.00001180232,0.00001184443],"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":[0.0003892814,0.00002169476,0.001529361,0.00007360284,0.0000202808,0.00009573866,0.00007544448,0.0000533819,0.9961942,0.00005942859,0.0001009926,0.001386475],"study_design_scores_gemma":[0.00009057575,0.001258049,0.245994,0.00004563744,0.0003092866,0.0007855174,0.001859023,0.002717273,0.7317512,0.0003104195,0.01482856,0.00005043839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828473,0.002430345,0.002713958,0.0002227357,0.0001933751,0.00004653004,0.008970603,0.00007244966,0.002502594],"genre_scores_gemma":[0.9736723,0.002676548,0.003561995,0.0004822305,0.0000675487,0.0001701449,0.009683747,0.00003627835,0.0096492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002049436,"threshold_uncertainty_score":0.006856084,"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."}}