{"id":"W2081921666","doi":"10.1186/1471-2164-12-634","title":"Thyroid hormone-regulated gene expression in juvenile mouse liver: identification of thyroid response elements using microarray profiling and in silico analyses","year":2011,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Thyroid Disorders and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Health Canada","funders":"Health Canada","keywords":"Thyroid; Thyroid hormone receptor; Hormone; Thyroid hormone receptor beta; Biology; Internal medicine; Endocrinology; Thyroid hormone receptor alpha; Gene expression profiling; Hormone response element; Gene; Gene expression; Hormone receptor; Transcription factor; Nuclear receptor; Medicine; Genetics; Estrogen receptor","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":[0.0004001338,0.0001760318,0.0003486423,0.0003738675,0.00004565197,0.00001223112,0.00008456699,0.0001095268,0.000007248454],"category_scores_gemma":[0.00007394863,0.0001665112,0.00005940873,0.0002427096,0.00005513032,0.0001107148,0.00006737157,0.00009086684,0.000003987737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658703,"about_ca_system_score_gemma":0.0001223968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003307886,"about_ca_topic_score_gemma":0.0001363253,"domain_scores_codex":[0.9984922,0.0001282866,0.0006726639,0.0003473189,0.0001305778,0.0002289554],"domain_scores_gemma":[0.9992173,0.00003394352,0.0002811678,0.0003392501,0.00005616397,0.00007212506],"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":[0.003177424,0.0004129232,0.1500263,0.00003131269,0.000024308,0.00001375539,0.001468955,0.0001421217,0.8446144,0.000001134468,0.000005705884,0.0000816502],"study_design_scores_gemma":[0.003009616,0.0001552274,0.2378383,0.00002791727,0.00006294452,0.000007035479,0.0006981019,0.00216985,0.7558919,0.00002784027,0.00000211842,0.0001091642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942721,0.00469834,0.0002928975,0.000004706505,0.00002257043,0.0006516952,0.00002511627,0.00001616047,0.00001642404],"genre_scores_gemma":[0.9801517,0.0003742077,0.01926185,0.00001103192,0.000009371625,0.00001785509,0.0000551371,0.00002902577,0.00008980242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08872247,"threshold_uncertainty_score":0.6790131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.057730122156449,"score_gpt":0.3001422676116639,"score_spread":0.2424121454552149,"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."}}