{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537138,0.001262483,0.001671785,0.001193592,0.0004559298,0.001033354,0.001692589,0.0007799965,0.003308065],"category_scores_gemma":[0.002522271,0.0007412816,0.001234688,0.0007412491,0.0005668938,0.0006755627,0.000839274,0.004829495,0.004239578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006166474,"about_ca_system_score_gemma":0.001018348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00257563,"about_ca_topic_score_gemma":0.004178828,"domain_scores_codex":[0.9986705,0.0002283038,0.0001308061,0.0002778726,0.0005303005,0.0001623435],"domain_scores_gemma":[0.9979425,0.0008821798,0.0001052599,0.0003891532,0.0005151054,0.0001656959],"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":[0.00007901046,0.00007518459,0.0002083899,0.00006961261,0.00001653512,0.00002939832,0.00001356695,0.0000815504,0.9937505,0.0001866501,0.0003098694,0.005179716],"study_design_scores_gemma":[0.00002191121,0.00009763455,0.002824306,0.00001077525,0.00004445048,0.0001943687,0.000008974241,0.001499095,0.9901107,0.0001632388,0.005004246,0.00002020302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1487588,0.002858219,0.8307328,0.002025928,0.0008076982,0.0006786071,0.003761044,0.006802419,0.003574501],"genre_scores_gemma":[0.2907194,0.002765206,0.677671,0.001646266,0.0001886184,0.0007543642,0.01297547,0.002302352,0.0109773],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003308065,"threshold_uncertainty_score":0.01106656,"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."}}