{"id":"W2900900200","doi":"10.1016/j.jmoldx.2018.09.007","title":"A Novel Multiplex Droplet Digital PCR Assay to Identify and Quantify KRAS Mutations in Clinical Specimens","year":2018,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; Pancreas Centre (Canada); University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Terry Fox Research Institute; Bio-Rad Laboratories","keywords":"Multiplex; Digital polymerase chain reaction; KRAS; Multiplex polymerase chain reaction; Computational biology; Biology; Mutation; Polymerase chain reaction; Bioinformatics; Genetics; Gene","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":[0.001636083,0.00107353,0.0008856956,0.00186589,0.0004175916,0.001112571,0.001319258,0.001394683,0.002521142],"category_scores_gemma":[0.002161462,0.0009217651,0.0006422661,0.00068363,0.0006017192,0.0009504039,0.001143114,0.001480531,0.00203242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007413942,"about_ca_system_score_gemma":0.0008957009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003823883,"about_ca_topic_score_gemma":0.001383919,"domain_scores_codex":[0.9970284,0.0004015423,0.0001575971,0.001074586,0.00119378,0.0001441124],"domain_scores_gemma":[0.9986476,0.0005529846,0.0001768799,0.000151482,0.0003435554,0.0001274968],"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":[0.0005474685,0.0003716603,0.01025894,0.0003233629,0.0001127754,0.0002084151,0.0001476082,0.0007917274,0.8895544,0.000941248,0.003476054,0.0932664],"study_design_scores_gemma":[0.0001430244,0.001208273,0.01042219,0.00007803538,0.0001650943,0.002739404,0.0001035566,0.0444147,0.9219447,0.0013099,0.01733967,0.0001315143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2471892,0.008835804,0.7156866,0.002100942,0.001799266,0.002141119,0.006089357,0.007190182,0.0089675],"genre_scores_gemma":[0.4424494,0.002190404,0.5288171,0.003568075,0.0005324397,0.002262058,0.003640042,0.0002930644,0.01624744],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002521142,"threshold_uncertainty_score":0.008652568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561204280174383,"score_gpt":0.3450288519392572,"score_spread":0.3194168091375134,"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."}}