{"id":"W1150712566","doi":"10.1016/j.jmoldx.2015.04.004","title":"Risk of Misdiagnosis Due to Allele Dropout and False-Positive PCR Artifacts in Molecular Diagnostics","year":2015,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research","keywords":"Genotyping; Genotype; Allele; Polymerase chain reaction; Biology; Dropout (neural networks); Primer (cosmetics); Genetics; Gene; Computer science; Chemistry","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":[0.04407886,0.0008661184,0.001062372,0.003327037,0.0007232522,0.002151352,0.001785161,0.003389426,0.001532616],"category_scores_gemma":[0.1205521,0.0007499555,0.0007864003,0.001403297,0.001605707,0.001352958,0.001399486,0.002143211,0.0010935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007951247,"about_ca_system_score_gemma":0.0008716551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009025175,"about_ca_topic_score_gemma":0.0008793448,"domain_scores_codex":[0.9463543,0.02722838,0.004322658,0.004078923,0.01675656,0.001259192],"domain_scores_gemma":[0.8248385,0.1344955,0.01627501,0.01024254,0.01262207,0.001526402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002314032,0.000663762,0.6801677,0.001145343,0.0004405479,0.0184302,0.0027196,0.002280641,0.03627194,0.004252031,0.008274221,0.24304],"study_design_scores_gemma":[0.0003021997,0.004779412,0.2990247,0.002370592,0.002762057,0.183692,0.003181118,0.08056655,0.3493768,0.01980443,0.05384104,0.0002989915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.72629,0.02493385,0.2251081,0.008506305,0.002085503,0.0005187729,0.0004552988,0.001785739,0.01031641],"genre_scores_gemma":[0.9369179,0.001675195,0.05646561,0.002879722,0.0003260209,0.00009593995,0.0002327579,0.0001216146,0.001285234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04407886,"threshold_uncertainty_score":0.2331141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008081892980836157,"score_gpt":0.2605034154888303,"score_spread":0.2524215225079941,"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."}}