{"id":"W3176052870","doi":"10.3390/diagnostics11071133","title":"Sample Adequacy Control (SAC) Lowers False Negatives and Increases the Quality of Screening: Introduction of “Non-Competitive” SAC for qPCR Assays","year":2021,"lang":"en","type":"article","venue":"Diagnostics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"McGill University","keywords":"Sample (material); Control (management); Biology; Computer science; Artificial intelligence; 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":[0.02468331,0.001738953,0.001802455,0.002545374,0.001543585,0.003127464,0.002139457,0.002489242,0.003395287],"category_scores_gemma":[0.03914191,0.001172086,0.001325157,0.001236246,0.005006917,0.001956617,0.003014904,0.003085079,0.001310477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436528,"about_ca_system_score_gemma":0.003087567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815796,"about_ca_topic_score_gemma":0.004013191,"domain_scores_codex":[0.9569377,0.01380134,0.00255697,0.007960518,0.0176192,0.001124156],"domain_scores_gemma":[0.9626355,0.01547865,0.006055444,0.004592623,0.01053893,0.0006989837],"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":[0.0006400881,0.0004071221,0.01445492,0.001913775,0.0002235074,0.0003144266,0.001531008,0.002830888,0.8426042,0.0166693,0.003695035,0.1147158],"study_design_scores_gemma":[0.00007473115,0.001438042,0.008531355,0.0003532483,0.0002217357,0.001197084,0.0002617172,0.01745243,0.9203985,0.00584947,0.04390412,0.0003174425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08994045,0.00758959,0.87962,0.002056452,0.001834746,0.00178681,0.0009400551,0.003917875,0.01231403],"genre_scores_gemma":[0.4405879,0.002422212,0.5422763,0.002639543,0.000634751,0.002391968,0.001319842,0.000945142,0.006782392],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02468331,"threshold_uncertainty_score":0.1305394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199452428203097,"score_gpt":0.3335534202071398,"score_spread":0.2915588959251088,"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."}}