{"id":"W2379062397","doi":"","title":"Advances in Treatment Technology of Urban Domestic Wastewater","year":2003,"lang":"en","type":"article","venue":"World Sci-tech R & D","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Wastewater; Effluent; Urbanization; Automatic summarization; Sewage treatment; Environmental science; Waste management; Environmental planning; Environmental engineering; Business; Engineering; Computer science; Ecology; Biology","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":[0.0001035387,0.0002279594,0.0002962398,0.0003399427,0.00005620102,0.00001034957,0.0002111836,0.00006415491,0.001037561],"category_scores_gemma":[0.00001687249,0.0001732844,0.00006264607,0.001034435,0.0003275861,0.0001576257,0.00008055956,0.0000917736,0.0002269947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435551,"about_ca_system_score_gemma":0.00001965755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308103,"about_ca_topic_score_gemma":0.002624247,"domain_scores_codex":[0.998574,0.00004865361,0.0003318973,0.0004122042,0.0002101577,0.0004230523],"domain_scores_gemma":[0.9993332,0.00003653828,0.00009141825,0.0004551731,0.000005390311,0.00007829774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003046747,0.0003830393,0.9382825,0.00001088032,0.00001873293,0.00009326798,0.000311942,0.0004121776,0.02059823,0.001442923,0.00007404638,0.03834174],"study_design_scores_gemma":[0.005852449,0.001220549,0.03113163,0.0001905355,0.0001120845,0.0002204857,0.0005677797,0.00008167302,0.6511596,0.02282675,0.2856328,0.001003661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969045,0.0004943659,0.00001818301,0.0001788891,0.0001282138,0.0003786139,0.000006340094,0.00006758182,0.02968279],"genre_scores_gemma":[0.9936213,0.00007671073,0.003657604,0.00001000531,0.000006549957,0.00008163421,0.000003934047,0.00001667979,0.002525504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9071509,"threshold_uncertainty_score":0.9998756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005283280227655508,"score_gpt":0.2326052360836636,"score_spread":0.2273219558560081,"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."}}