{"id":"W2034447603","doi":"10.1016/j.spl.2009.07.008","title":"An OLS-based predictor test for a single-index model for predicting transcription rate from histone acetylation level","year":2009,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ryerson University","keywords":"Acetylation; Histone; Mathematics; Transcription factor; Computational biology; Statistics; Gene; Biology; Genetics","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":[0.0002922744,0.0001937662,0.0001593335,0.00003972781,0.0001509118,0.00004813627,0.0001568431,0.0001434447,0.000004349352],"category_scores_gemma":[0.0003325297,0.0002070528,0.00008053426,0.0000535296,0.00007016694,0.00001627848,0.000005947687,0.00007136983,3.678295e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153562,"about_ca_system_score_gemma":0.0001276035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001399704,"about_ca_topic_score_gemma":0.00008390691,"domain_scores_codex":[0.9985717,0.00006437694,0.0003651027,0.0005961432,0.0001467539,0.0002559123],"domain_scores_gemma":[0.9990139,0.00007689012,0.000177755,0.000413377,0.0002157224,0.000102382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005175199,0.0002667394,0.0008241702,0.00005225931,0.00001177217,9.880529e-8,0.0001623423,0.005631037,0.9846517,0.0002043182,0.002081394,0.005596649],"study_design_scores_gemma":[0.002932944,0.00114211,0.01644688,0.00003781301,0.0000993406,4.411274e-7,0.00001212909,0.7329395,0.2161459,0.02880947,0.001009224,0.0004242061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2787289,0.00002029437,0.716467,0.0009418158,0.0001048749,0.0009054986,0.002793315,0.00003306731,0.000005177283],"genre_scores_gemma":[0.7599154,0.000001929212,0.234893,0.00115639,0.0001778347,0.0002340438,0.003564859,0.00002176676,0.00003481248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7685058,"threshold_uncertainty_score":0.8443369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528910102893299,"score_gpt":0.2988347878263669,"score_spread":0.2535456867974338,"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."}}