{"id":"W2959576786","doi":"10.1021/acs.est.8b06481","title":"How Urban Storm- and Wastewater Management Prepares for Emerging Opportunities and Threats: Digital Transformation, Ubiquitous Sensing, New Data Sources, and Beyond - A Horizon Scan","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Environmental planning; Discipline; Principal (computer security); Stormwater; Business; Data management; Environmental resource management; Environmental science; Computer science; Ecology; Political science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002652545,0.0003756516,0.0003027208,0.001155155,0.002445277,0.01217388,0.0006910168,0.002432715,0.008610039],"category_scores_gemma":[0.00566739,0.0002554413,0.0003903973,0.001600512,0.003378325,0.01537204,0.002663577,0.001463655,0.001200435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201154,"about_ca_system_score_gemma":0.005046056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053518,"about_ca_topic_score_gemma":0.02998374,"domain_scores_codex":[0.9982287,0.0008796806,0.00005736938,0.0001319844,0.000349783,0.0003524884],"domain_scores_gemma":[0.9976556,0.0007634444,0.0003157443,0.0002786253,0.0005253644,0.0004611819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003430654,0.0003532446,0.09494456,0.001247391,0.0002509887,0.001788655,0.03748039,0.009109455,0.01031257,0.2174105,0.1055601,0.5211991],"study_design_scores_gemma":[0.00002141715,0.0002439887,0.04755674,0.0008838333,0.0001009567,0.001043693,0.2719932,0.009778792,0.005557449,0.2322745,0.4302962,0.000249188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3631578,0.01109726,0.08166984,0.2452448,0.002245593,0.0004810414,0.001800845,0.001418087,0.2928848],"genre_scores_gemma":[0.9657688,0.005345623,0.0117317,0.003659771,0.0001350982,0.00005178328,0.0001920766,0.0001400655,0.01297508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01217388,"threshold_uncertainty_score":0.02880347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556526999659134,"score_gpt":0.2348437037098203,"score_spread":0.209278433713229,"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."}}