{"id":"W4385269717","doi":"10.1109/wimob58348.2023.10187751","title":"Sensor-based Wastewater Monitoring Framework to Detect COVID-19","year":2023,"lang":"en","type":"article","venue":"","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Seneca Polytechnic","funders":"","keywords":"Network packet; Routing protocol; Computer science; Wireless sensor network; Computer network; Transmission (telecommunications); Protocol (science); Real-time computing; Routing (electronic design automation); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002480755,0.0001349671,0.0001804328,0.0002954169,0.0001251717,0.00003217347,0.00006063493,0.0001099319,0.0001653691],"category_scores_gemma":[0.002246246,0.0001113669,0.00007912336,0.000825933,0.00001790198,0.00002607759,0.00003941299,0.0002230141,0.001708382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116667,"about_ca_system_score_gemma":0.00008435662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001365689,"about_ca_topic_score_gemma":0.000003791542,"domain_scores_codex":[0.9989048,0.00003144357,0.000190954,0.0002817945,0.0002570104,0.0003340399],"domain_scores_gemma":[0.9989286,0.0004393837,0.00002598322,0.0003059102,0.00005160678,0.0002485116],"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":[0.0001714166,0.00002251887,0.04065796,0.0001448511,0.00003965749,0.0003935501,0.0005238757,0.0004280355,0.9491599,0.00002376011,0.002127219,0.00630721],"study_design_scores_gemma":[0.0006437597,0.0001682238,0.001961523,0.0001098435,0.00002301507,0.00004004847,0.0004849444,0.0009714335,0.9712395,0.0001537205,0.0240442,0.0001597691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829169,0.000009794677,0.009959123,0.002891618,0.0006173306,0.0002703812,0.000001077188,0.001530412,0.001803398],"genre_scores_gemma":[0.9652447,6.535357e-7,0.02212676,0.01104314,0.0004859197,0.00003464044,0.000001419302,0.00003764606,0.001025168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03869643,"threshold_uncertainty_score":0.9990689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09070670802110255,"score_gpt":0.3698784296616305,"score_spread":0.279171721640528,"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."}}