{"id":"W2063046546","doi":"10.1371/journal.pone.0009797","title":"A Live Zebrafish-Based Screening System for Human Nuclear Receptor Ligand and Cofactor Discovery","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Friedrich-Schiller-Universität Jena","keywords":"Zebrafish; Nuclear receptor; Danio; Biology; Cofactor; Cell biology; Transcription factor; Receptor; Gene isoform; Drug discovery; Biochemistry; Computational biology; Gene; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000987157,0.0001357125,0.0001697364,0.00002758631,0.0001639281,0.00006377133,0.00009526236,0.0002382104,0.000005680089],"category_scores_gemma":[0.00005550483,0.0001217845,0.0000670441,0.00002792736,0.00007214938,0.000006599853,0.00004693861,0.0001598817,0.000008804359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005617295,"about_ca_system_score_gemma":0.0000204276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001158572,"about_ca_topic_score_gemma":0.000006190452,"domain_scores_codex":[0.9992833,0.0000227672,0.0001260328,0.0002778589,0.00009543314,0.0001946436],"domain_scores_gemma":[0.999548,0.00002311697,0.0000675807,0.0002091906,0.00005210789,0.0001000185],"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":[0.0001439072,0.000187805,0.001141703,0.0001591446,0.000188584,0.000001314818,0.00003610448,6.773666e-7,0.9977558,0.0001252642,0.0001799818,0.00007970836],"study_design_scores_gemma":[0.001092279,0.0006624245,0.000352489,0.0001477682,0.0001116047,0.000002729776,0.00007477932,0.0002125161,0.99654,0.000004457228,0.0006043173,0.0001946251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988896,0.0001928596,0.0001307968,0.00008242648,0.00005857303,0.0004040141,0.00005506168,0.00003524375,0.0001514146],"genre_scores_gemma":[0.9964187,0.00001307006,0.002771127,0.00007030187,0.0002736125,0.00003320494,0.0001365649,0.00004209786,0.0002413525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00264033,"threshold_uncertainty_score":0.4966229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137390158086882,"score_gpt":0.2125058705654224,"score_spread":0.1987668547567342,"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."}}