{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003438269,0.0001382351,0.0003464468,0.0001308682,0.00005602519,0.00001958524,0.00007139204,0.00006010486,0.00000986647],"category_scores_gemma":[0.0006820541,0.0001143783,0.00005263095,0.0001882977,0.00006289014,0.00007716335,0.00001839881,0.0001371009,7.919639e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121633,"about_ca_system_score_gemma":0.0008581731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001545821,"about_ca_topic_score_gemma":0.00002156014,"domain_scores_codex":[0.9984738,0.00007703424,0.0007434351,0.0001582817,0.0003692122,0.0001782337],"domain_scores_gemma":[0.9981688,0.0003717041,0.0004721087,0.0000980636,0.0007477248,0.0001416088],"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":[0.002761753,0.0006936382,0.01264807,0.001304201,0.0002600658,0.00005364512,0.004803827,0.009310764,0.9528818,0.00006602035,0.00003930778,0.01517698],"study_design_scores_gemma":[0.004080819,0.0008185834,0.002384854,0.0005811643,0.0001522504,0.00001813466,0.0001993024,0.003718888,0.9876391,0.0001297872,0.0001716554,0.0001054499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3751923,0.001047817,0.6206623,0.001169321,0.00003546485,0.001855244,0.0000306667,0.000005443216,0.000001474538],"genre_scores_gemma":[0.8504616,0.0004081631,0.1487113,0.00007359688,0.00002420876,0.0002696477,0.00002587725,0.00002005243,0.000005549143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4752693,"threshold_uncertainty_score":0.4664212,"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."}}