{"id":"W2089145320","doi":"10.1006/gcen.2001.7659","title":"Development of a Retinoic Acid Receptor-Binding Assay with Rainbow Trout Tissue: Characterization of Retinoic Acid Binding, Receptor Tissue Distribution, and Developmental Changes","year":2001,"lang":"en","type":"article","venue":"General and Comparative Endocrinology","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Allergan","keywords":"Biology; Retinoic acid; Retinoid X receptor; Receptor; Nuclear receptor; Retinoid; Retinoic acid receptor; Tretinoin; Rainbow trout; Internal medicine; Kidney; Binding site; Endocrinology; Molecular biology; Biochemistry; Transcription factor; Gene; 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":[0.002287564,0.001962668,0.001756425,0.002312733,0.001102818,0.001163563,0.00211019,0.00137829,0.004086121],"category_scores_gemma":[0.001941804,0.00257328,0.001557692,0.001346552,0.00129999,0.001271152,0.001287879,0.003745419,0.003803423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611503,"about_ca_system_score_gemma":0.002502038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009388309,"about_ca_topic_score_gemma":0.02234099,"domain_scores_codex":[0.9980043,0.0004427774,0.0002029763,0.0004864913,0.0005167171,0.0003467626],"domain_scores_gemma":[0.9980038,0.0007870531,0.0001525237,0.0003293944,0.000411776,0.0003154575],"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":[0.00009250773,0.00004586624,0.0001990641,0.00004678898,0.00001384307,0.00001806934,0.00002423483,0.00007294531,0.9982384,0.0001755796,0.00003775813,0.001034999],"study_design_scores_gemma":[0.00003719061,0.0004739076,0.006909903,0.00002008837,0.00007258452,0.000288934,0.00004320815,0.002638999,0.985871,0.0002497558,0.003361625,0.0000327885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3118432,0.005684884,0.6619337,0.0006056477,0.0004301904,0.002019813,0.002709757,0.003144426,0.01162833],"genre_scores_gemma":[0.3969862,0.004990871,0.5468211,0.000943354,0.0002142416,0.004065792,0.01132139,0.001686337,0.03297071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009388309,"threshold_uncertainty_score":0.01866728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161885800871483,"score_gpt":0.2586236682619196,"score_spread":0.2370048102532047,"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."}}