{"id":"W4410410552","doi":"10.1061/9780784486184.109","title":"The Impact of Leaf Litter on the Performance of Catch Basin Inlets","year":2025,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Inlet; Structural basin; Litter; Environmental science; Marine engineering; Hydrology (agriculture); Geology; Oceanography; Ecology; Engineering; Biology; Geotechnical engineering; Geomorphology","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":[0.0005049071,0.0004105524,0.0003921313,0.0003958759,0.0005812058,0.00070009,0.0003436129,0.0003723197,0.00175946],"category_scores_gemma":[0.0017108,0.0002086641,0.0002884989,0.0003003058,0.0004173596,0.0004545444,0.0005295239,0.0002921695,0.0002608484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008197844,"about_ca_system_score_gemma":0.0005849807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385519,"about_ca_topic_score_gemma":0.0357534,"domain_scores_codex":[0.9995666,0.0000690092,0.00003437409,0.00007517363,0.0001293319,0.0001255827],"domain_scores_gemma":[0.9989988,0.000292996,0.0002035374,0.00008671739,0.0002784813,0.0001395426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002569149,0.0005557183,0.4285693,0.0002066508,0.00007478715,0.0008337011,0.00148322,0.020029,0.5229498,0.0001167523,0.0002532008,0.0223586],"study_design_scores_gemma":[0.00004230714,0.007981545,0.7126532,0.00003370132,0.0001008239,0.0002482254,0.002490263,0.01556099,0.2597993,0.00006822125,0.0009749833,0.00004646579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996935,0.000006300499,0.00008218744,0.000001739223,6.730114e-7,0.000004402033,0.00002786674,0.000006813672,0.000176476],"genre_scores_gemma":[0.9992149,0.00001449799,0.0002181514,0.000002951168,4.05582e-7,0.000004104898,0.00009708681,0.00000486823,0.0004431217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385519,"threshold_uncertainty_score":0.02754909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101763595388182,"score_gpt":0.2355900454580103,"score_spread":0.2254136859191921,"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."}}