{"id":"W2113260388","doi":"10.1093/carcin/bgt180","title":"ERRα metabolic nuclear receptor controls growth of colon cancer cells","year":2013,"lang":"en","type":"article","venue":"Carcinogenesis","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Cell growth; Nuclear receptor; Biology; Cancer cell; Cancer research; Cell cycle; Cancer; Endocrinology; Cell biology; Internal medicine; Cell; Biochemistry; Transcription factor; Medicine","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":[0.0001098394,0.0003960648,0.0003881096,0.0003483179,0.0001944594,0.0003670093,0.0001630669,0.0002708601,0.002562984],"category_scores_gemma":[0.0001225112,0.000203906,0.00034133,0.0003106789,0.0001778016,0.0001445136,0.0001806779,0.0006032889,0.001110477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144775,"about_ca_system_score_gemma":0.0003146875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625938,"about_ca_topic_score_gemma":0.00187363,"domain_scores_codex":[0.9997955,0.00002700702,0.00002088542,0.00006103018,0.00005684966,0.00003880942],"domain_scores_gemma":[0.9998868,0.00001499073,0.00002949296,0.00002291217,0.00002414018,0.00002173032],"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":[0.000194915,0.00002374614,0.000185853,0.00003974835,0.000004386668,0.00006081488,0.00001267092,0.0000561713,0.9981554,0.00005949427,0.0001179927,0.001088768],"study_design_scores_gemma":[0.00002884064,0.0003440913,0.006696919,0.000008044894,0.00002062526,0.0003856005,0.00004646188,0.001120114,0.9839659,0.00004359231,0.007330575,0.000009218908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97562,0.008235518,0.005039591,0.0003890973,0.0001873947,0.00006786221,0.003422614,0.0006341493,0.006403759],"genre_scores_gemma":[0.9779556,0.003430898,0.003218217,0.0001696432,0.00001900089,0.00008183491,0.003457078,0.00007823531,0.01158944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002562984,"threshold_uncertainty_score":0.008574009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007795255855502359,"score_gpt":0.2185472600685409,"score_spread":0.2107520042130385,"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."}}