{"id":"W26285363","doi":"10.2144/01314bm05","title":"Improvement of the Chromatin Immunoprecipitation (ChIP) Assay by DNA Fragment Size Fractionation","year":2001,"lang":"en","type":"article","venue":"BioTechniques","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research; University of Saskatchewan","keywords":"Immunoprecipitation; Chromatin immunoprecipitation; DNA; Fragment (logic); Molecular biology; Fractionation; Chromatin; Chemistry; Biology; Computational biology; Chromatography; Genetics; Computer science; Antibody; Gene; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002167205,0.0001016168,0.00007936392,0.00001563897,0.00006962785,0.00001487972,0.000173788,0.0001557873,0.00002534146],"category_scores_gemma":[0.00006283556,0.00008164633,0.00007080127,0.00006365244,0.00003943006,0.000003817335,0.00008146821,0.00006217023,0.000001404738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004320439,"about_ca_system_score_gemma":0.00003149937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005684251,"about_ca_topic_score_gemma":0.00001394286,"domain_scores_codex":[0.9993324,0.00003736692,0.0002253371,0.0001645193,0.0001352378,0.0001051141],"domain_scores_gemma":[0.9994079,0.00001379478,0.0001913688,0.0002991692,0.00006919582,0.00001858127],"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":[0.00001143023,0.00006318778,0.0002461863,0.000008333311,0.00001947651,5.337332e-8,0.00002021558,0.000007847251,0.9911189,0.00008008903,0.002268089,0.006156197],"study_design_scores_gemma":[0.0001385048,0.0001781366,0.004326617,0.00001392061,0.00000851537,0.000002275791,0.00003305619,0.0001903647,0.9769381,0.000445841,0.01762572,0.0000989041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861339,0.0001771775,0.01193705,0.0004467719,0.0001057412,0.0003093277,0.0000326439,0.00002158364,0.0008357662],"genre_scores_gemma":[0.995287,0.0004249848,0.00343701,0.0001599502,0.0000487984,0.0000416598,0.00009364293,0.00001415841,0.0004927764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535764,"threshold_uncertainty_score":0.3329441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003675025714806782,"score_gpt":0.219951644836717,"score_spread":0.2162766191219102,"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."}}