{"id":"W4406273412","doi":"10.1177/23996544241313454","title":"Digitalizing sewage: The politics of producing, sharing, and operationalizing data from wastewater-based surveillance","year":2025,"lang":"en","type":"article","venue":"Environment and Planning C Politics and Space","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University; Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council; Urban Studies Foundation; Université de Lausanne","keywords":"Operationalization; Wastewater; Politics; Sewage; Business; Environmental science; Political science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003310798,0.0001349037,0.0001435766,0.00003054706,0.0002589729,0.0001224905,0.0002049269,0.00004092209,0.00002000429],"category_scores_gemma":[0.00004237317,0.0001038631,0.00001182327,0.00003877905,0.0002546309,0.000114468,0.0006943287,0.00008877824,0.000001306282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002182388,"about_ca_system_score_gemma":0.000004754291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007745904,"about_ca_topic_score_gemma":0.000009205244,"domain_scores_codex":[0.9990427,0.00003494506,0.000176696,0.0003965756,0.000146081,0.0002029883],"domain_scores_gemma":[0.9993311,0.000118155,0.00006369233,0.0004325014,0.000001983465,0.00005260632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004018037,0.00002364406,0.9930791,0.00004121645,0.00002725532,0.000002448327,0.0005489832,0.0009836269,0.0006087559,0.002437597,0.001818558,0.000424786],"study_design_scores_gemma":[0.0008175526,0.0001141061,0.7703738,0.000437406,0.0001187162,0.000003887028,0.00139543,0.1024557,0.004629517,0.009759812,0.1092597,0.0006343472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993609,0.0009112881,0.001309271,0.001060523,0.00003708407,0.0001598581,0.00006289801,0.00002269924,0.002827423],"genre_scores_gemma":[0.9959549,0.0002019037,0.001455382,0.0001836207,0.00003181525,0.000003978755,0.00007432763,0.00000868447,0.002085393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2227053,"threshold_uncertainty_score":0.4235416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509160487838536,"score_gpt":0.2626428346553814,"score_spread":0.237551229776996,"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."}}