{"id":"W4220814191","doi":"10.1101/2022.03.24.485503","title":"A global high-density chromatin interaction network reveals functional long-range and trans-chromosomal relationships","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chromatin; ChIA-PET; Computational biology; Chromosome conformation capture; Genome; Range (aeronautics); Biology; Gene; Genetics; Chromatin remodeling; Gene expression; Materials 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":[0.0005253149,0.0004376783,0.0005050376,0.002510667,0.0004282031,0.0006716106,0.0004447417,0.0004828424,0.002539258],"category_scores_gemma":[0.001307729,0.0003269693,0.0007735629,0.002833849,0.000309497,0.0007784005,0.0008871002,0.0004671666,0.0005442314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000490113,"about_ca_system_score_gemma":0.0004011989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003151898,"about_ca_topic_score_gemma":0.006589744,"domain_scores_codex":[0.9995884,0.00004928267,0.00001645124,0.0002001551,0.000104493,0.00004119355],"domain_scores_gemma":[0.9992383,0.0002755403,0.0001476419,0.0001451483,0.0001376112,0.00005585511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004551333,0.0001637352,0.3248776,0.001699698,0.001673109,0.0008807537,0.000902213,0.07877921,0.4533713,0.01407556,0.005253504,0.1178682],"study_design_scores_gemma":[0.00003299441,0.0001873088,0.7397673,0.0001453321,0.0009998559,0.001036086,0.00057406,0.1560735,0.05113117,0.02016093,0.02978109,0.0001103268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7885423,0.003334862,0.1744956,0.0002395849,0.0000332807,0.00007256843,0.023509,0.001500848,0.008271992],"genre_scores_gemma":[0.9191958,0.001147737,0.05783467,0.0001055803,0.00002049642,0.0001217811,0.01993891,0.0001851223,0.001449911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003151898,"threshold_uncertainty_score":0.008494616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012680774695888,"score_gpt":0.209454440270105,"score_spread":0.196773665574217,"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."}}