{"id":"W2508263135","doi":"10.1371/journal.pone.0161274","title":"A Robust Protocol for Using Multiplexed Droplet Digital PCR to Quantify Somatic Copy Number Alterations in Clinical Tissue Specimens","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Canada's Michael Smith Genome Sciences Centre; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","funders":"Genome British Columbia","keywords":"Digital polymerase chain reaction; Computational biology; Biology; Primer (cosmetics); Somatic cell; Polymerase chain reaction; Enumeration; Computer science; Genetics; Chemistry; Gene; Mathematics","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":[0.007236206,0.002422132,0.00173972,0.004165718,0.001587626,0.001745309,0.002342747,0.002075563,0.007265858],"category_scores_gemma":[0.007546202,0.002218527,0.001521435,0.002055174,0.001957429,0.001380587,0.002091843,0.003839406,0.00766401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164141,"about_ca_system_score_gemma":0.002822434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004534597,"about_ca_topic_score_gemma":0.001547439,"domain_scores_codex":[0.9897177,0.002171924,0.001465869,0.003208175,0.002942941,0.0004933815],"domain_scores_gemma":[0.9956462,0.0009991541,0.0005573498,0.001342952,0.001218813,0.0002354426],"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":[0.0002699437,0.0002694848,0.0008085952,0.0005061607,0.00006973322,0.0002945189,0.0003181203,0.001231863,0.9448215,0.003922725,0.004366731,0.04312059],"study_design_scores_gemma":[0.000143879,0.0008278386,0.002114116,0.0001577815,0.00009334194,0.0009350415,0.00006876325,0.01114381,0.9281496,0.002690545,0.05348363,0.0001917113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009463469,0.0004920964,0.9753929,0.0002556737,0.0003686813,0.00678524,0.001969504,0.003119627,0.002152879],"genre_scores_gemma":[0.02345491,0.0005811818,0.9522752,0.0004694088,0.0000966139,0.01614104,0.002996476,0.0004151274,0.00357017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007265858,"threshold_uncertainty_score":0.03826922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1541182340816024,"score_gpt":0.370229346334338,"score_spread":0.2161111122527356,"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."}}