{"id":"W4414360555","doi":"10.1021/acs.jmedchem.5c00459","title":"Comparative Profiling and Chemogenomics Application of Chemical Tools for NR4A Nuclear Receptors","year":2025,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Nuclear Receptors and Signaling","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Innovative Medicines Initiative; Horizon 2020 Framework Programme; Kungliga Tekniska Högskolan; Deutsche Forschungsgemeinschaft; European Federation of Pharmaceutical Industries and Associations; Diamond Light Source; McGill University","keywords":"Nuclear receptor; Transcription factor; Receptor; Drug discovery; Endoplasmic reticulum; Drug; Profiling (computer programming)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098362,0.0004579422,0.0003258841,0.0005626962,0.0002014718,0.0003131334,0.0002206796,0.0002499986,0.001189367],"category_scores_gemma":[0.0003193348,0.0001668514,0.0003408283,0.0004986397,0.0002737055,0.0002130297,0.0003522636,0.0003904088,0.0004206544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632323,"about_ca_system_score_gemma":0.0002825581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005454191,"about_ca_topic_score_gemma":0.001194874,"domain_scores_codex":[0.9996221,0.00007967652,0.00001821461,0.00008617886,0.0001408763,0.00005293643],"domain_scores_gemma":[0.9998486,0.00003464312,0.0000333918,0.000022446,0.00004590891,0.0000150389],"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":[0.00004844641,0.00001626529,0.0001078208,0.00003204214,0.000004597261,0.00001365818,0.0000094033,0.0001707081,0.997102,0.00005301904,0.00002089011,0.002421123],"study_design_scores_gemma":[0.000004685218,0.0003119424,0.001314762,0.000005535635,0.00001709753,0.00007072576,0.00002695409,0.0007275439,0.9958299,0.00005046379,0.001632833,0.00000758288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372212,0.004552252,0.04988812,0.0002524442,0.00005295986,0.0002631877,0.002220595,0.0003192506,0.005229862],"genre_scores_gemma":[0.9156055,0.0071938,0.0689806,0.0003044082,0.00003747237,0.0004250002,0.002105117,0.0001325182,0.005215629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001189367,"threshold_uncertainty_score":0.003978848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103067687431332,"score_gpt":0.3002083848011583,"score_spread":0.269177707926845,"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."}}