{"id":"W4401720399","doi":"10.2166/wpt.2024.218","title":"Analysis of sewer blockage causes using open data","year":2024,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sanitary sewer; Combined sewer; Intrusion; Environmental science; Flooding (psychology); Engineering; Environmental engineering; Stormwater; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00079485,0.0002533198,0.0002379103,0.004466034,0.0004012702,0.001006468,0.0003194411,0.0001532229,0.001448495],"category_scores_gemma":[0.006908051,0.0001321373,0.0002877632,0.005422418,0.0003486242,0.0004948761,0.00109119,0.0002179717,0.000129582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731501,"about_ca_system_score_gemma":0.001630669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2204064,"about_ca_topic_score_gemma":0.3102266,"domain_scores_codex":[0.9989446,0.0001894176,0.0001066323,0.0001352203,0.0004741349,0.0001500363],"domain_scores_gemma":[0.9899151,0.003423904,0.003413464,0.0005507523,0.002268973,0.0004278229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003598706,0.00001989914,0.9888193,0.0000447665,0.00004041521,0.000177324,0.0008120264,0.001379212,0.0005578722,0.0002304262,0.0002858891,0.007596905],"study_design_scores_gemma":[0.000001451259,0.00003504723,0.9894304,0.00002057187,0.00002628318,0.00005826776,0.002705041,0.005554731,0.0005562088,0.0001151076,0.001488435,0.000008405954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933367,0.00006883265,0.001321269,0.000028653,0.000004145455,0.00004925976,0.003989121,0.00003481443,0.001167193],"genre_scores_gemma":[0.996119,0.00006146832,0.0007950549,0.000003035594,0.000003631977,0.0000224145,0.002484111,0.000004956655,0.0005062335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2204064,"threshold_uncertainty_score":0.4382469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06445801697840718,"score_gpt":0.3470172939050306,"score_spread":0.2825592769266234,"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."}}