{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005843814,0.0001885318,0.000308905,0.0001635167,0.00005245116,0.0001390343,0.0002423607,0.0001790591,0.000009687591],"category_scores_gemma":[0.006642919,0.0001918236,0.0001621277,0.0001755953,0.0001847974,0.00001216926,0.0002126237,0.0002240586,0.00001820588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003396711,"about_ca_system_score_gemma":0.0001979061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001592252,"about_ca_topic_score_gemma":0.0001563492,"domain_scores_codex":[0.9983009,0.00005867163,0.0008211127,0.0002969313,0.0002424388,0.0002799577],"domain_scores_gemma":[0.9983194,0.0003844878,0.0003009214,0.00028571,0.0004176092,0.0002918157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003996985,0.001372191,0.1643937,0.00003175049,0.0003552436,0.000584055,0.0003187399,0.0009582586,0.8043875,0.0008199614,0.01305432,0.01332464],"study_design_scores_gemma":[0.008579048,0.006087019,0.6964399,0.0003820892,0.0003549651,0.0008998816,0.0004984081,0.0006657772,0.1455767,0.00138622,0.137791,0.001339033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441188,0.000767916,0.05347455,0.0005363037,0.0006084283,0.0001917838,0.0001149692,0.000003180872,0.0001840806],"genre_scores_gemma":[0.9893579,0.0008350977,0.008016531,0.0009219628,0.000769905,0.000004433584,0.00003385279,0.00003649754,0.00002374512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6588108,"threshold_uncertainty_score":0.7952675,"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."}}