{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002961436,0.0000907663,0.0003101963,0.00003233672,0.00004493152,0.00001999264,0.0001816282,0.00007818694,0.00002755506],"category_scores_gemma":[0.0005323424,0.00007715385,0.00007556341,0.0001084308,0.0001494722,0.0000860159,0.00003489657,0.0002215804,4.731046e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005227448,"about_ca_system_score_gemma":0.00006784566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.43308e-7,"about_ca_topic_score_gemma":1.313242e-8,"domain_scores_codex":[0.9991315,0.00001369738,0.0004166245,0.0001414946,0.0001845403,0.0001121625],"domain_scores_gemma":[0.9990446,0.0003111097,0.0003692418,0.00008090087,0.0001209846,0.00007319049],"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":[0.0002323803,0.00004132318,0.0000532534,0.0001707416,0.00001290563,7.943999e-7,0.0001837744,0.000006305959,0.9933999,0.0002791109,0.0003747047,0.005244817],"study_design_scores_gemma":[0.0006315717,0.00005357266,0.000008438896,0.0001260411,0.00003752941,0.00003372207,0.0005771397,0.000929905,0.9917333,0.0003357724,0.005472438,0.00006057495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971849,0.0001632063,0.0009316983,0.0002951634,0.0001038354,0.0001223496,0.000004449407,0.000006173124,0.001188198],"genre_scores_gemma":[0.9974905,0.00004226101,0.002115217,0.0001227147,0.0001778974,0.000002131356,0.000001342193,0.000008336814,0.00003957596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005184242,"threshold_uncertainty_score":0.3146243,"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."}}