{"id":"W3047493241","doi":"10.1016/j.jmoldx.2020.07.003","title":"Design and Development of a Fully Synthetic Multiplex Ligation-Dependent Probe Amplification–Based Probe Mix for Detection of Copy Number Alterations in Prostate Cancer Formalin-Fixed, Paraffin-Embedded Tissue Samples","year":2020,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Occupational Cancer Research Centre; University of Toronto; Ontario Institute for Cancer Research; Queen's University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Prostate Cancer Canada; McGill University Health Centre; Movember Foundation; McGill University","keywords":"Multiplex; Multiplex ligation-dependent probe amplification; Prostate cancer; Biology; Fluorescence in situ hybridization; TaqMan; Molecular biology; Cancer research; Digital polymerase chain reaction; Cancer; Computational biology; Real-time polymerase chain reaction; Polymerase chain reaction; Genetics; Gene; Chromosome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002269053,0.00129801,0.001036693,0.001274666,0.0006009034,0.000980543,0.00141401,0.001062369,0.003170069],"category_scores_gemma":[0.001819147,0.001811055,0.000878224,0.0005714467,0.0008062691,0.0009171073,0.000976905,0.001570777,0.001666024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006942436,"about_ca_system_score_gemma":0.001485242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004253411,"about_ca_topic_score_gemma":0.001106071,"domain_scores_codex":[0.9973515,0.0005227183,0.0001986103,0.0009853076,0.0007118656,0.0002300427],"domain_scores_gemma":[0.9990631,0.0002963068,0.0001767538,0.00009191799,0.000213433,0.0001585624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000192928,0.00007960551,0.0003184427,0.0001994838,0.0000342641,0.00007473113,0.00008070927,0.0008307154,0.988129,0.0008562873,0.0003411415,0.00886265],"study_design_scores_gemma":[0.00008334233,0.0007780225,0.001341288,0.00003573893,0.0000679682,0.0003584541,0.00004496933,0.01277464,0.9701852,0.0004385932,0.01383002,0.00006176335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1882098,0.001813886,0.7961276,0.000765436,0.0003861851,0.003492385,0.002765124,0.003532171,0.002907381],"genre_scores_gemma":[0.2074107,0.0009679587,0.7694786,0.0008491146,0.0001155793,0.004739008,0.006466368,0.0003463586,0.009626336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003170069,"threshold_uncertainty_score":0.01200008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04523978381676569,"score_gpt":0.3296590989082496,"score_spread":0.2844193150914839,"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."}}