{"id":"W4409568050","doi":"10.1093/nar/gkaf300","title":"Proteome-wide microarray-based screening of PAR-binding proteins","year":2025,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Biology; Proteome; Computational biology; DNA-binding protein; Proteomics; Microarray; Genetics; Molecular biology; Gene expression; Gene; 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":[0.0005624274,0.0001093835,0.0001312106,0.0001709278,0.0002450026,0.00002434452,0.0003400519,0.0001612891,0.00001132421],"category_scores_gemma":[0.0002940661,0.0001051275,0.00007548062,0.0004914571,0.0003043438,0.000003290757,0.0002283074,0.0002501637,0.000005761407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002539119,"about_ca_system_score_gemma":0.0001622095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000244138,"about_ca_topic_score_gemma":0.000007576995,"domain_scores_codex":[0.998766,0.00008857685,0.0002127786,0.0003612815,0.0002239406,0.0003473885],"domain_scores_gemma":[0.9989946,0.00003599121,0.00005598251,0.0005641149,0.000292546,0.00005671823],"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":[0.00007362228,0.0000603864,0.00243478,0.00004856164,0.00001603928,9.310223e-7,0.000009016942,0.00001344473,0.9893971,0.0002987985,0.002259786,0.005387536],"study_design_scores_gemma":[0.0002610828,0.0001535558,0.001104188,0.0001008122,0.000003670181,7.92034e-7,0.00004581564,0.0001318916,0.9458265,0.0004595953,0.05181657,0.00009546817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8313214,0.0001103497,0.1623643,0.00158179,0.00001780953,0.001176093,0.00002109205,0.00004969933,0.003357393],"genre_scores_gemma":[0.89178,0.00001976678,0.1067907,0.0000935957,0.00004040746,0.0001429227,0.00004693318,0.00001965194,0.001066035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06045852,"threshold_uncertainty_score":0.4286976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336298652179047,"score_gpt":0.359359959383216,"score_spread":0.3259969728614255,"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."}}