{"id":"W3008278690","doi":"10.1016/j.cbpc.2020.108726","title":"Aryl hydrocarbon receptor nuclear translocators (ARNT1, ARNT2, and ARNT3) of white sturgeon (Acipenser transmontanus): Sequences, tissue-specific expressions, and response to β-naphthoflavone","year":2020,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aryl hydrocarbon receptor nuclear translocator; Aryl hydrocarbon receptor; Sturgeon; Biology; Transcription factor; Lake sturgeon; Nuclear receptor; Agonist; Receptor; Cell biology; Transcription (linguistics); Biochemistry; Acipenser; Gene; Fishery; Fish <Actinopterygii>","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":[0.0000638037,0.0002350471,0.0001492458,0.0004464966,0.0002299172,0.0001881082,0.0001308911,0.0001994117,0.001479253],"category_scores_gemma":[0.0001056872,0.0001764784,0.0002477518,0.0002538099,0.0002597782,0.0002092952,0.0001790194,0.0003838851,0.0003394081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004356846,"about_ca_system_score_gemma":0.0002349881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860013,"about_ca_topic_score_gemma":0.007186813,"domain_scores_codex":[0.9999462,0.00000377556,0.000003858253,0.00001877272,0.00001226321,0.00001510646],"domain_scores_gemma":[0.9998438,0.00002766184,0.00004903457,0.000009921408,0.00002142313,0.00004817263],"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":[0.0002290248,0.000008718211,0.001417194,0.00001413099,0.000006370695,0.00004912014,0.00006802307,0.00003640735,0.9973565,0.00008188896,0.00003370364,0.0006989947],"study_design_scores_gemma":[0.00007881313,0.0009040214,0.5776209,0.00001476621,0.0001371563,0.001476631,0.0006806338,0.001496462,0.4116577,0.0002855812,0.005599141,0.00004829448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998279,0.0002960853,0.0003085266,0.00004494007,0.00001014338,0.000005481978,0.000536916,0.00001483742,0.0005042172],"genre_scores_gemma":[0.9862767,0.0004246247,0.000655431,0.000114518,0.0000131626,0.00003252817,0.004153752,0.00003512574,0.00829409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002860013,"threshold_uncertainty_score":0.0056867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587114240435926,"score_gpt":0.2904169886287743,"score_spread":0.264545846224415,"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."}}