{"id":"W2946512191","doi":"10.1111/gwat.12908","title":"Assessing “Urban Karst” Effects from Groundwater–Storm Sewer System Interaction in a Till Aquitard","year":2019,"lang":"en","type":"article","venue":"Ground Water","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Trench; Aquifer; Groundwater; Geology; Sanitary sewer; Hydrology (agriculture); Stormwater; Infiltration (HVAC); Karst; Drainage system (geomorphology); Storm; Groundwater flow; Drainage; Clogging; Environmental science; Surface runoff; Geotechnical engineering; Environmental engineering; Oceanography; Meteorology; Geography","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":[0.0003023516,0.0001532041,0.0001744289,0.0003618561,0.0002325844,0.0004339087,0.000186818,0.0001547467,0.0008231786],"category_scores_gemma":[0.0006131726,0.0001322351,0.0002113712,0.0005190968,0.0003072643,0.0003063462,0.0004829556,0.0001241978,0.00007252176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008272487,"about_ca_system_score_gemma":0.0004573718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279828,"about_ca_topic_score_gemma":0.03914651,"domain_scores_codex":[0.9996588,0.00009770111,0.00001881336,0.00006442831,0.0001029713,0.00005725073],"domain_scores_gemma":[0.9995725,0.0001592846,0.0001290612,0.00003261492,0.00006779382,0.00003878078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008318622,0.0002172177,0.8676367,0.00006281677,0.0001206463,0.0003580346,0.0005738636,0.03272187,0.0804049,0.0001664696,0.00008690029,0.0168187],"study_design_scores_gemma":[0.000006977637,0.0003912975,0.9717199,0.000001808701,0.00003988416,0.00007553981,0.0004997259,0.01725172,0.009689408,0.00006864387,0.0002459303,0.000009209305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995633,0.000003364872,0.0002205128,0.000001643385,1.446453e-7,0.000003849139,0.0000207769,0.000004566317,0.0001817832],"genre_scores_gemma":[0.9996874,0.000004590314,0.0001790409,0.000001271478,2.483219e-7,0.000001887823,0.00002896311,0.000001334246,0.00009532198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01279828,"threshold_uncertainty_score":0.02544755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108747205425922,"score_gpt":0.2183135776673835,"score_spread":0.2072261056131242,"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."}}