{"id":"W2256927727","doi":"10.69645/trzu3116","title":"Quantitative CNV testing in molecular diagnostics","year":2009,"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 Alberta","funders":"","keywords":"Computational biology; Medicine; Computer science; 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":[0.01085446,0.001082086,0.001023047,0.005153031,0.0005559307,0.00273042,0.001587916,0.001927398,0.004203315],"category_scores_gemma":[0.01528681,0.0007411558,0.0004223978,0.001574909,0.002369517,0.001356265,0.001139037,0.001802938,0.001495345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500428,"about_ca_system_score_gemma":0.001255687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001452413,"about_ca_topic_score_gemma":0.001925434,"domain_scores_codex":[0.9914168,0.005043327,0.0004138189,0.0009529238,0.001846076,0.0003271798],"domain_scores_gemma":[0.9880534,0.008504439,0.0005898374,0.0007697245,0.001608598,0.0004739314],"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":[0.001628927,0.0005961654,0.1036455,0.001437436,0.0001600507,0.001916034,0.0003536532,0.002496964,0.187981,0.03673144,0.01805502,0.6449979],"study_design_scores_gemma":[0.0004258575,0.004465899,0.1601719,0.002268548,0.0008437075,0.039026,0.001217524,0.06684434,0.4291029,0.1065893,0.1886353,0.0004087762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3021769,0.1958342,0.4077036,0.02221492,0.004135936,0.001512061,0.003665617,0.002926332,0.05983053],"genre_scores_gemma":[0.8021012,0.02305781,0.1576952,0.003555071,0.001262256,0.000922626,0.000885081,0.0001840951,0.01033661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01085446,"threshold_uncertainty_score":0.05740452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277392456898749,"score_gpt":0.2660952958617511,"score_spread":0.2433213712927636,"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."}}