{"id":"W2009965219","doi":"10.1210/me.2014-1006","title":"Research Resource: EPSLiM: Ensemble Predictor for Short Linear Motifs in Nuclear Hormone Receptors","year":2014,"lang":"en","type":"article","venue":"Molecular Endocrinology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Anschutz Medical Campus, University of Colorado; Evans Medical Foundation; National Institute on Aging; Brigham and Women's Hospital; National Science Foundation","keywords":"Computational biology; Biology; Nuclear receptor; Androgen receptor; Transcription factor; Bioinformatics; Gene; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008280834,0.000246657,0.0003154495,0.0002366035,0.0001452701,0.0000240574,0.0005203499,0.0003628828,0.00003028369],"category_scores_gemma":[0.000596885,0.0002572505,0.0001505333,0.0001953529,0.0001744967,0.000004542115,0.0002855429,0.0002916911,0.00004921417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003628624,"about_ca_system_score_gemma":0.00005006762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002701287,"about_ca_topic_score_gemma":0.00001787936,"domain_scores_codex":[0.9970589,0.0005798294,0.0003587151,0.0007686126,0.0002636354,0.0009702503],"domain_scores_gemma":[0.9988193,0.00008391,0.00005030326,0.0007647519,0.0001372612,0.0001444734],"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":[0.0003267714,0.00008931005,0.0001492891,0.00002056205,0.00004550923,0.000022072,0.0000501821,0.00009083767,0.981212,0.003889496,0.003431526,0.01067247],"study_design_scores_gemma":[0.0007533429,0.001253487,0.0001881821,0.00001285465,0.00001187787,0.00003321424,0.0001005564,0.0002709105,0.6321896,0.001221131,0.3637198,0.0002450506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739141,0.0009713318,0.01877858,0.0007638393,0.0002168049,0.0008735721,0.0000138289,0.00004967857,0.004418298],"genre_scores_gemma":[0.9922206,0.0001704099,0.00576663,0.0003683944,0.0003076193,0.0002538427,0.0001001332,0.00009889447,0.0007135071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3602883,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332814584090992,"score_gpt":0.294331431801074,"score_spread":0.2710032859601641,"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."}}