{"id":"W4416538945","doi":"10.1002/cpz1.70260","title":"Refined ChIP‐Seq Protocol for High‐Quality Chromatin Profiling in Solid Tissues Using the Complete Genomics/MGI Sequencing Platform","year":2025,"lang":"en","type":"article","venue":"Current Protocols","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Chromatin; ChIA-PET; Histone; Chromatin immunoprecipitation; ChIP-sequencing; Chromosome conformation capture; DNA sequencing; Protocol (science)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002688305,0.001509418,0.001571521,0.001505263,0.001451017,0.001153696,0.002286706,0.001194898,0.01551637],"category_scores_gemma":[0.001772841,0.001520052,0.001172645,0.001223441,0.0008469978,0.000721788,0.001326181,0.003685369,0.02108258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101505,"about_ca_system_score_gemma":0.002287712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002066232,"about_ca_topic_score_gemma":0.00611919,"domain_scores_codex":[0.9975246,0.0004838034,0.0002812221,0.0006889147,0.0007146306,0.0003068527],"domain_scores_gemma":[0.9991353,0.0001840651,0.00005473493,0.0002461141,0.0002790972,0.0001006594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003430899,0.0001157489,0.0005198329,0.0007310502,0.00007854195,0.0002467927,0.0002184646,0.001480844,0.9327285,0.002156056,0.03270683,0.02867413],"study_design_scores_gemma":[0.0002193648,0.0003510925,0.005364654,0.0002022566,0.0001369013,0.0006738872,0.0000800239,0.009939557,0.587467,0.002342378,0.3929409,0.0002819869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03217627,0.002545394,0.8653466,0.0007606589,0.001008174,0.008131609,0.05605743,0.019173,0.01480071],"genre_scores_gemma":[0.03040443,0.00246214,0.7786323,0.00154329,0.0001999318,0.02029619,0.1395325,0.004052757,0.02287647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01551637,"threshold_uncertainty_score":0.05190742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1246037232805757,"score_gpt":0.427374649560646,"score_spread":0.3027709262800703,"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."}}