{"id":"W4378901926","doi":"10.14745/ccdr.v49i05a07","title":"Real-time quantitative reverse transcription polymerase chain reaction detection of SARS-CoV-2 Delta variant in Canadian wastewater","year":2023,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; University of Manitoba; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Wastewater; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Infectivity; Polymerase chain reaction; Real-time polymerase chain reaction; Virology; Population; Reverse transcription polymerase chain reaction; Coronavirus disease 2019 (COVID-19); Coronavirus; Delta; Biology; Medicine; Gene; Virus; Disease; Internal medicine; Genetics; Environmental health; Infectious disease (medical specialty); Environmental engineering; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001656694,0.001050449,0.0006812347,0.001474361,0.001096866,0.001210073,0.001015534,0.0006114065,0.001901727],"category_scores_gemma":[0.001733393,0.000426742,0.0005704323,0.001605746,0.001070117,0.0002429186,0.0004113204,0.0007658497,0.000651869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009951648,"about_ca_system_score_gemma":0.01510837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4754519,"about_ca_topic_score_gemma":0.7109564,"domain_scores_codex":[0.9953666,0.0002955108,0.0001884857,0.0008821234,0.002846398,0.0004209904],"domain_scores_gemma":[0.9982279,0.0002425392,0.0001915007,0.00006489938,0.001218393,0.0000547588],"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":[0.0006122994,0.0003487747,0.05981094,0.0005759246,0.00007384912,0.0002058555,0.001123372,0.002562631,0.8930089,0.0007453001,0.00279443,0.03813768],"study_design_scores_gemma":[0.0001695368,0.001426878,0.1606606,0.0002208275,0.0002835205,0.0005552726,0.002090822,0.03010489,0.7533901,0.0006371577,0.05019758,0.0002628423],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326955,0.003183431,0.1133328,0.0008888129,0.0003878369,0.002717266,0.02124595,0.002431293,0.02311702],"genre_scores_gemma":[0.7206309,0.002666787,0.2384552,0.001049396,0.00006105331,0.00257351,0.01347171,0.0002090569,0.02088225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5245481,"threshold_uncertainty_score":0.945369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04532361960626637,"score_gpt":0.29703208738064,"score_spread":0.2517084677743736,"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."}}