{"id":"W2160275987","doi":"10.1177/1087057103252605","title":"Development of a Versatile Platform for Nuclear Receptor Screening Using AlphaScreen™","year":2003,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"PerkinElmer Biosignal","funders":"","keywords":"Coactivator; Receptor; Nuclear receptor; Biotinylation; Biology; Nuclear receptor coactivator 2; Computational biology; Biochemistry; Transcription factor","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001404873,0.0001213134,0.0001303943,0.00003221355,0.0001103382,0.00001871187,0.00008502616,0.0001386088,0.00001505692],"category_scores_gemma":[0.00005167465,0.0001119478,0.0001084035,0.00005541019,0.00004167803,0.00001230512,0.0000414948,0.00005430529,0.00000317083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001663348,"about_ca_system_score_gemma":0.0001017922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003769446,"about_ca_topic_score_gemma":0.000001808757,"domain_scores_codex":[0.9992929,0.00001491025,0.0001927518,0.0002021756,0.0000912507,0.0002060174],"domain_scores_gemma":[0.9996627,0.00001093155,0.00009173455,0.0001557925,0.00003052476,0.00004834712],"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":[0.0002383384,0.00006514656,0.0001637413,0.00003722127,0.000197483,6.796582e-7,0.0001751017,0.0001483666,0.9949865,0.001471506,0.0004736118,0.002042302],"study_design_scores_gemma":[0.001053054,0.0002082478,0.00004723527,0.00004946676,0.0000333701,0.000008013547,0.0004345611,0.0002058803,0.9415326,0.0000325378,0.0561829,0.0002121997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799511,0.0004043673,0.01825241,0.000003624361,0.0001182558,0.0002090435,0.00001638308,0.000007864382,0.00103692],"genre_scores_gemma":[0.9385991,0.00001858514,0.06094471,0.00003431446,0.00004917174,0.000006769725,0.00008760236,0.0000339345,0.000225861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05570929,"threshold_uncertainty_score":0.45651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117314155664905,"score_gpt":0.2563977483528131,"score_spread":0.2352246067961641,"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."}}