{"id":"W4321496229","doi":"10.51731/cjht.2023.575","title":"Wastewater Surveillance for Communicable Diseases","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Wastewater; Population; Environmental health; Epidemiological surveillance; Medicine; Epidemiology; Environmental science; Environmental engineering; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001427637,0.0006131814,0.0004549979,0.003757607,0.000877513,0.001455555,0.001065445,0.000828261,0.03455665],"category_scores_gemma":[0.003758941,0.0001695999,0.0006523501,0.002867536,0.000290222,0.0007131433,0.001472371,0.0007774271,0.007562235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004059413,"about_ca_system_score_gemma":0.009346954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2252412,"about_ca_topic_score_gemma":0.2294132,"domain_scores_codex":[0.9983461,0.0001979817,0.0001589393,0.0001561654,0.0008749971,0.000265934],"domain_scores_gemma":[0.9958255,0.0002682597,0.0004488727,0.0001088852,0.002979786,0.0003687117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001193105,0.00008982103,0.05774762,0.002000246,0.00006677162,0.0002621482,0.0002162315,0.0002382888,0.001585558,0.002779463,0.4484823,0.4864123],"study_design_scores_gemma":[0.00003604627,0.0001694105,0.1473539,0.002724254,0.00008172556,0.0004468565,0.0005167631,0.0004635582,0.00198921,0.001023893,0.8451546,0.00003985357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03302875,0.110666,0.0133918,0.05640766,0.007580083,0.002028455,0.1750278,0.00412647,0.597743],"genre_scores_gemma":[0.3272256,0.1541727,0.0376539,0.03999265,0.003101762,0.001547574,0.1848224,0.0005218199,0.2509617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2252412,"threshold_uncertainty_score":0.4478602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07479812435245925,"score_gpt":0.3358515198332107,"score_spread":0.2610533954807515,"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."}}