{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008023844,0.0002097758,0.0004104715,0.0005565676,0.0001935866,0.00001546638,0.000125223,0.0001008356,0.00001537426],"category_scores_gemma":[0.000709251,0.0002258972,0.0001112158,0.001056468,0.00006883379,0.0001610338,0.00003134267,0.000306257,0.00001083184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204794,"about_ca_system_score_gemma":0.003464875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949883,"about_ca_topic_score_gemma":0.9920416,"domain_scores_codex":[0.9978619,0.000215026,0.0007080692,0.0003365046,0.0003901391,0.0004883953],"domain_scores_gemma":[0.9982218,0.0001137168,0.0002418442,0.0009243315,0.0002019467,0.0002964041],"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":[0.0003175201,0.0000596435,0.001813957,0.0001068423,0.0000631689,0.006791527,0.0001748554,0.00002218341,0.9895321,0.00002463148,0.0005792868,0.0005142812],"study_design_scores_gemma":[0.002375653,0.0002055781,0.04194393,0.0008228678,0.0003436726,0.001688352,0.001536258,0.03091376,0.8975578,0.00009681119,0.02187498,0.0006403695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996312,0.0001147274,0.000009202092,0.0006688397,0.0002600658,0.0004702536,0.00006882067,0.0001202777,0.001975787],"genre_scores_gemma":[0.9988044,0.00005169657,0.00009209112,0.0003841751,0.00002721369,0.00005505297,0.0002721835,0.00004513735,0.000268038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09197433,"threshold_uncertainty_score":0.9211819,"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."}}