{"id":"W4394155390","doi":"10.6084/m9.figshare.21532624","title":"Additional file 2 of A global high-density chromatin interaction network reveals functional long-range and trans-chromosomal relationships","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","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":"Range (aeronautics); Chromatin; Biology; Genetics; Computational biology; Computer science; DNA; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001223976,0.001711673,0.001451633,0.002176492,0.0009381183,0.002282277,0.002465477,0.001884847,0.4733902],"category_scores_gemma":[0.009291749,0.0006399424,0.001130805,0.003415193,0.0004412695,0.001689416,0.001345927,0.001736536,0.1143215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374746,"about_ca_system_score_gemma":0.001958706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044163,"about_ca_topic_score_gemma":0.02339401,"domain_scores_codex":[0.9993375,0.00008438456,0.00007740034,0.0002662659,0.0001264025,0.0001080164],"domain_scores_gemma":[0.9956675,0.002685694,0.0003213694,0.0004831791,0.0005671488,0.0002750599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001648945,0.00005704338,0.003481085,0.002157811,0.00007147008,0.00006922699,0.00003731077,0.0007306144,0.0002060844,0.0007546488,0.9888301,0.003439712],"study_design_scores_gemma":[0.002124448,0.0001174517,0.01922892,0.00147345,0.0002386093,0.0004889153,0.0002300277,0.002156976,0.001031691,0.008713963,0.9641029,0.00009263305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000693726,0.00001681377,0.00006699148,0.00002450408,0.00000552656,0.000007981733,0.9995431,0.00009198627,0.0001738316],"genre_scores_gemma":[0.001173713,0.00004145044,0.0005450945,0.00008640439,0.00001004078,0.0001346841,0.9971602,0.0001060211,0.000742359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4733902,"threshold_uncertainty_score":0.751145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849375770284915,"score_gpt":0.2443703801265208,"score_spread":0.2258766224236717,"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."}}