{"id":"W3185956263","doi":"10.69645/djfq9310","title":"Quantitative CNV testing in molecular diagnostics","year":2021,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational biology; Biology","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":[0.01179898,0.001109824,0.001067809,0.006327657,0.0007302322,0.003477026,0.001762204,0.002006195,0.004904959],"category_scores_gemma":[0.01813255,0.0007887859,0.0005430037,0.002270024,0.002633256,0.001305143,0.001669668,0.00198241,0.002131721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775297,"about_ca_system_score_gemma":0.001619323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246368,"about_ca_topic_score_gemma":0.003135971,"domain_scores_codex":[0.9898045,0.00513326,0.0005315194,0.001410741,0.002649047,0.0004708292],"domain_scores_gemma":[0.9856916,0.008843854,0.001000262,0.001267292,0.002565223,0.000631682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001530758,0.0005206161,0.1435733,0.001610185,0.0002267564,0.002013455,0.0004969701,0.002435372,0.1558376,0.04007065,0.03554078,0.6161436],"study_design_scores_gemma":[0.0003421274,0.003383846,0.2005085,0.003201547,0.0008116662,0.03426061,0.001423466,0.03764658,0.3295658,0.09592391,0.2925519,0.0003801272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2764542,0.2356811,0.3394147,0.03064686,0.006248794,0.001959557,0.009036019,0.004087261,0.09647156],"genre_scores_gemma":[0.7895011,0.0340679,0.1497158,0.005989156,0.001874757,0.001225903,0.002416841,0.0003742796,0.01483425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01179898,"threshold_uncertainty_score":0.06239969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259469225253897,"score_gpt":0.2651841897037871,"score_spread":0.2392372671783974,"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."}}