{"id":"W2765867220","doi":"10.1016/j.etap.2017.10.012","title":"Estrogen-responsive gene networks in the teleost liver: What are the key molecular indicators?","year":2017,"lang":"en","type":"article","venue":"Environmental Toxicology and Pharmacology","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of New Brunswick","funders":"","keywords":"Toxicogenomics; Biology; Interactome; Vitellogenin; Gene regulatory network; Computational biology; Transcriptome; Estrogen; Gene; Microarray analysis techniques; Estrogen receptor alpha; Microarray; Estrogen receptor; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002112777,0.0001886449,0.0002703588,0.0004365965,0.000171962,0.0005148859,0.0002174355,0.0002146559,0.001194322],"category_scores_gemma":[0.0003196939,0.0001574834,0.0001852756,0.0004534534,0.0005033061,0.0006176346,0.0002568257,0.0002552976,0.0002338206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004468946,"about_ca_system_score_gemma":0.0004345555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850013,"about_ca_topic_score_gemma":0.003939155,"domain_scores_codex":[0.9998575,0.00003028329,0.000007309976,0.00004461765,0.00002873784,0.00003156607],"domain_scores_gemma":[0.9997236,0.00006487698,0.00009639659,0.00001756696,0.00004862487,0.00004887248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006300529,0.00004671088,0.05561375,0.0003298379,0.00009138048,0.0001517067,0.0002704418,0.001201008,0.9075813,0.00374595,0.0005332156,0.02980463],"study_design_scores_gemma":[0.00002566628,0.000343683,0.8351547,0.0001082999,0.0001673834,0.0003570016,0.0008867247,0.004342338,0.1444209,0.00556856,0.008575626,0.00004923133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733812,0.01111382,0.008666001,0.001322097,0.00005237004,0.00002483882,0.001631902,0.00009785859,0.003710006],"genre_scores_gemma":[0.9897318,0.004809805,0.002071843,0.0001767319,0.00007443293,0.00003876828,0.0006388345,0.00001767187,0.002440041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001850013,"threshold_uncertainty_score":0.003995419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005893912481155962,"score_gpt":0.2458649997134724,"score_spread":0.2399710872323164,"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."}}