{"id":"W2074004596","doi":"10.1038/srep08554","title":"Families of Nuclear Receptors in Vertebrate Models: Characteristic and Comparative Toxicological Perspective","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China; State Key Laboratory in Marine Pollution; City University of Hong Kong","keywords":"Phylogenetic tree; Biology; Vertebrate; Zebrafish; Nuclear receptor; Phylogenetics; Evolutionary biology; Gene; Conserved sequence; Pregnane X receptor; Genetics; Zoology; Computational biology; Transcription factor; Base sequence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004317787,0.00009287806,0.0001687583,0.00006531941,0.00004655891,0.00002961886,0.00005486707,0.0001104006,0.000005064559],"category_scores_gemma":[0.00009518024,0.00007529089,0.00003459516,0.0001388343,0.0003424797,0.000009002645,0.00007995441,0.00008043596,0.000003045379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002337018,"about_ca_system_score_gemma":0.00007937043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001664345,"about_ca_topic_score_gemma":0.000006184155,"domain_scores_codex":[0.9990552,0.00006940429,0.0002091891,0.0003970488,0.000128758,0.0001403949],"domain_scores_gemma":[0.9994465,0.000006217956,0.0001124346,0.0002106013,0.0001322905,0.00009191468],"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":[0.0003452743,0.0005188838,0.01250528,0.00003083059,0.0001179145,0.0002765936,0.009040324,0.001149742,0.9623619,0.002734828,0.01007591,0.0008425289],"study_design_scores_gemma":[0.003739211,0.004400454,0.008552075,0.0002584969,0.0001486249,0.001272472,0.04245156,0.03130045,0.8337035,0.03849487,0.03379205,0.001886198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945445,0.0007500229,0.000009022539,0.00003103223,0.0007516965,0.0001559705,0.000001441752,0.000006982791,0.00374931],"genre_scores_gemma":[0.9994742,0.00003873155,0.0001503207,0.00001267432,0.00001617883,0.000005139545,0.00002314504,0.000005144941,0.0002744311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1286583,"threshold_uncertainty_score":0.3070273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614352431562752,"score_gpt":0.2688067602189234,"score_spread":0.2326632359032959,"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."}}