{"id":"W2123624930","doi":"10.1186/1477-7827-4-49","title":"Identification of estrogen-regulated genes by microarray analysis of the uterus of immature rats exposed to endocrine disrupting chemicals","year":2006,"lang":"en","type":"article","venue":"Reproductive Biology and Endocrinology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; Directorate for Education and Human Resources; Ministry of Education and Human Resources Development; Ministry of Education, India","keywords":"Endocrine system; Microarray analysis techniques; Microarray; Estrogen; Uterus; Identification (biology); Biology; Gene; Aromatase; Endocrinology; Internal medicine; Ovary; Bioinformatics; Hormone; Gene expression; Medicine; Genetics; Breast cancer; Cancer","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":[0.00007904332,0.0002561959,0.0003456225,0.0003862858,0.000167344,0.0001356199,0.000138007,0.0001234321,0.0007234635],"category_scores_gemma":[0.0001143075,0.0001158363,0.0002471181,0.0003652796,0.0001360361,0.00009922518,0.0001222768,0.0003336854,0.0001789007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420112,"about_ca_system_score_gemma":0.0001852286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007220464,"about_ca_topic_score_gemma":0.0009905621,"domain_scores_codex":[0.9999164,0.000006622086,0.000006024317,0.00002467505,0.0000262159,0.00001997534],"domain_scores_gemma":[0.9999254,0.00001619247,0.00001747081,0.000006802279,0.00001828489,0.00001583177],"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":[0.0000527371,0.000005575173,0.0003379846,0.00001421706,0.000002331728,0.00001176495,0.000007761827,0.00001203166,0.9988922,0.00001187139,0.00001004105,0.0006413766],"study_design_scores_gemma":[0.00001611331,0.0005136409,0.1605137,0.00001307725,0.00007081268,0.0003001128,0.0001245739,0.001070515,0.8346417,0.0001046397,0.002616693,0.00001446961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901716,0.001093859,0.005169653,0.00008115998,0.00003307518,0.00003723476,0.002401234,0.0000557446,0.0009564813],"genre_scores_gemma":[0.9583051,0.003242998,0.02358767,0.0001898577,0.00004278038,0.0003241814,0.007263231,0.00004131646,0.007002957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007234635,"threshold_uncertainty_score":0.002420187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006109332417904792,"score_gpt":0.2921624235537891,"score_spread":0.2860530911358843,"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."}}