{"id":"W28501369","doi":"10.69645/rbcp2852","title":"Copy number variation","year":2009,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Variation (astronomy); Copy-number variation; Biology; Evolutionary biology; Genetics; Physics; Gene; Astrophysics; Genome","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001039624,0.0001311022,0.0001390517,0.0001213417,0.001477486,0.0003359368,0.001523549,0.00008594225,0.0002124188],"category_scores_gemma":[0.0001119201,0.00008127882,0.00006018185,0.0030475,0.0003467141,0.0007387675,0.0002134383,0.0001887328,0.0002497918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005729753,"about_ca_system_score_gemma":0.0004101739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106708,"about_ca_topic_score_gemma":0.00000725403,"domain_scores_codex":[0.9976958,0.0001287953,0.0002917085,0.0004954516,0.001025249,0.0003629967],"domain_scores_gemma":[0.9989414,0.0001878113,0.0001160958,0.0004209586,0.00008357519,0.000250121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002797254,0.0006332796,0.001137438,0.000006835228,0.00002676337,0.00001638331,0.001619406,0.0002385678,0.0007606843,0.07704878,0.7984765,0.1200074],"study_design_scores_gemma":[0.0008240758,0.0006599255,0.02730359,0.00003492531,0.0000135838,0.0001236127,0.00008806488,0.5774319,0.0001252687,0.0533509,0.3396017,0.0004425584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001225859,0.00009608315,0.9749559,0.01233196,0.00194231,0.0001931623,0.000003355556,0.0002376935,0.009013684],"genre_scores_gemma":[0.9263553,0.00005488406,0.06402341,0.006357409,0.0008169098,0.00002379089,0.000007704743,0.000005605153,0.002354977],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9251295,"threshold_uncertainty_score":0.9998224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500692814677067,"score_gpt":0.2764960838783242,"score_spread":0.2614891557315535,"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."}}