{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002397701,0.0009164804,0.001257354,0.005818324,0.0009660669,0.001828325,0.00118712,0.001219465,0.03479677],"category_scores_gemma":[0.01821978,0.0003452547,0.001456152,0.003828157,0.0009113859,0.0007087823,0.00075291,0.001147803,0.003867998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009246172,"about_ca_system_score_gemma":0.0006429263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005632476,"about_ca_topic_score_gemma":0.003890929,"domain_scores_codex":[0.9940249,0.001126905,0.0006475275,0.002081824,0.001793345,0.0003254213],"domain_scores_gemma":[0.9931586,0.003640041,0.001035553,0.001150084,0.0008058578,0.0002098118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00444372,0.0003816294,0.4765887,0.001725076,0.003805204,0.007049034,0.001327379,0.005355337,0.02096578,0.03623987,0.05727042,0.3848479],"study_design_scores_gemma":[0.0006174094,0.0009388322,0.6976833,0.001061887,0.002157041,0.03887112,0.0004213469,0.01624116,0.02738663,0.06685202,0.1473472,0.0004220883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6306064,0.01983486,0.08733474,0.004446337,0.002627895,0.001775708,0.1585247,0.003003597,0.09184577],"genre_scores_gemma":[0.9313037,0.001869818,0.02052204,0.0009487594,0.0003005221,0.001124783,0.02462644,0.0005430367,0.01876088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03479677,"threshold_uncertainty_score":0.1164068,"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."}}