{"id":"W2088442470","doi":"10.1038/ng1010-813","title":"Public data archives for genomic structural variation","year":2010,"lang":"en","type":"letter","venue":"Nature Genetics","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institutes of Health","keywords":"Biology; Variation (astronomy); Genetics; Structural variation; Computational biology; Evolutionary biology; Genome; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001190917,0.0003607896,0.0002481043,0.00009195001,0.000191583,0.0001512498,0.001383485,0.003645904,0.00004370149],"category_scores_gemma":[0.0001150513,0.0003500453,0.0001365221,0.00004831094,0.0000982342,0.000005442581,0.0005644332,0.002243504,0.000005874674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001474974,"about_ca_system_score_gemma":0.000366224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004455776,"about_ca_topic_score_gemma":0.00004411811,"domain_scores_codex":[0.9981813,0.00005677207,0.0003244737,0.0008029556,0.0001774708,0.0004569823],"domain_scores_gemma":[0.9978482,0.00004002566,0.0002462195,0.001668422,0.0001361703,0.00006093683],"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":[0.00003665958,0.00001768882,0.0006734184,0.0002047252,0.0003887411,0.000005873509,0.00009087938,0.00002619801,0.06040992,0.0001760623,0.9343708,0.003599021],"study_design_scores_gemma":[0.0003500189,0.00009422401,0.00226051,0.000005358141,0.0001053376,0.00004024871,0.00000658784,0.0004051855,0.002567151,0.00145674,0.9922681,0.0004405553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2596456,0.02266322,0.01862131,0.6371672,0.0180496,0.004573558,0.03520765,0.0001809765,0.003891015],"genre_scores_gemma":[0.3248368,0.0008446208,0.0882507,0.3511561,0.05650919,0.0001640797,0.1693024,0.0003543666,0.008581733],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.286011,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247251874293043,"score_gpt":0.252540339681519,"score_spread":0.2300678209385886,"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."}}