{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008863361,0.0002014624,0.0003790044,0.00005761584,0.00006128581,0.0000187548,0.0002540912,0.0001759253,0.0005758925],"category_scores_gemma":[0.0000336565,0.000188455,0.0002132318,0.0001253127,0.0001163675,0.000007162497,0.00008365947,0.00005668308,0.00006957528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145233,"about_ca_system_score_gemma":0.00008827168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382399,"about_ca_topic_score_gemma":0.00005624299,"domain_scores_codex":[0.9988133,0.00007368968,0.0002757458,0.0003602547,0.0001552641,0.0003217621],"domain_scores_gemma":[0.9990149,0.00001217121,0.0001400886,0.0003839722,0.000299387,0.0001495365],"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":[0.00005921801,0.00003687068,0.002205943,0.00002964723,0.0001024392,2.595672e-8,0.00006090559,0.000007985237,0.9232928,0.0001623798,0.0710854,0.002956406],"study_design_scores_gemma":[0.0005990724,0.00005991773,0.009131798,0.000006605962,0.00008366382,0.000001074331,0.00005094705,0.000009918695,0.6466487,0.00001260629,0.3432222,0.0001734313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790065,0.01537355,0.00004080392,0.0001578747,0.004195742,0.0003983809,0.0001386081,0.0000167116,0.0006717696],"genre_scores_gemma":[0.9858754,0.005658216,0.0003501414,0.0006565611,0.006131761,0.0001607426,0.00003352745,0.00005647363,0.001077223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2766441,"threshold_uncertainty_score":0.7684972,"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."}}