{"id":"W3191024382","doi":"10.3390/su13168727","title":"Exploring the Potential in LID Technologies for Remediating Heavy Metals in Carwash Wastewater","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Environmental science; Wastewater; Cadmium; Heavy metals; Environmental engineering; Sewage treatment; Pollution; Waste management; Environmental chemistry; Engineering; Chemistry; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008848272,0.0001133825,0.0001484393,0.00005979331,0.0001368736,0.00003820082,0.000268827,0.00003993878,0.00004078604],"category_scores_gemma":[0.001054121,0.00008853312,0.00006718622,0.0005166983,0.000210041,0.0004143217,0.0007214036,0.000164863,0.000008547048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318397,"about_ca_system_score_gemma":0.00003364729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000845402,"about_ca_topic_score_gemma":0.002227435,"domain_scores_codex":[0.9985507,0.0001181083,0.0002820355,0.0003956509,0.0001841101,0.0004694559],"domain_scores_gemma":[0.999335,0.00009060714,0.00003979066,0.0004840817,0.00003050703,0.00002003419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008531447,0.0005072239,0.9365031,0.0002979081,0.00003270719,0.000161538,0.007891555,0.02749619,0.004810154,0.001663178,0.0007691598,0.01978193],"study_design_scores_gemma":[0.0009221553,0.00007162135,0.8592619,0.000021185,0.00003523747,0.000003671083,0.05119921,0.002837438,0.02320262,0.05342307,0.008568521,0.0004533576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919947,0.00004352742,0.0004156831,0.006380389,0.0001325698,0.0007247478,0.000002569093,0.0000778353,0.0002280143],"genre_scores_gemma":[0.9981137,0.000007829318,0.0008136705,0.00002930026,0.00001561455,0.0005993766,0.000003855991,0.000009465343,0.0004071718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07724123,"threshold_uncertainty_score":0.3610276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063071727617618,"score_gpt":0.2452406907934734,"score_spread":0.2146099735172972,"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."}}