{"id":"W6913185749","doi":"10.5683/sp3/ftgrfq","title":"Early Warning and Rapid Public Health Response to Prevent COVID-19 Outbreaks in Long-term Care Facilities (LTCF) by Monitoring SARS-CoV-2 RNA in LTCF Site-specific Sewage Samples and Assessment of Antibodies Response in this Population [SSSIS, study data contributed to the CITF Databank]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Health; Public Health Agency of Canada","keywords":"Outbreak; Public health; Warning system; Vulnerability (computing); Cohort; Sample (material); Sewage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002681341,0.0004464396,0.000253104,0.0008385453,0.0007345355,0.0006670592,0.001132575,0.0005567402,0.003251445],"category_scores_gemma":[0.005033061,0.0001777084,0.0004332532,0.0007705927,0.0003341161,0.0003931305,0.0007875684,0.0004680819,0.0002010408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007214936,"about_ca_system_score_gemma":0.02003772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6182703,"about_ca_topic_score_gemma":0.82147,"domain_scores_codex":[0.9987214,0.0005157184,0.00005270395,0.00009983499,0.0002635444,0.0003466749],"domain_scores_gemma":[0.9974209,0.000399794,0.0005631003,0.0001073369,0.001011205,0.0004975991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00277841,0.00147995,0.824245,0.001535611,0.0002992059,0.0005146753,0.000920673,0.003414187,0.00643635,0.0005546753,0.02243997,0.1353812],"study_design_scores_gemma":[0.000230309,0.002367426,0.9891034,0.0003241629,0.0001187603,0.0000807184,0.001362107,0.001722617,0.001141005,0.0001127428,0.003404988,0.00003180527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9676,0.001308044,0.002555705,0.004100613,0.0000977455,0.0035464,0.01282428,0.000108743,0.007858414],"genre_scores_gemma":[0.9836828,0.000777002,0.007869053,0.0008140884,0.0000466448,0.0009832544,0.003661605,0.00001090773,0.002154584],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6182703,"threshold_uncertainty_score":0.7679555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516003902174646,"score_gpt":0.4125622498350524,"score_spread":0.2609618596175878,"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."}}