{"id":"W4247271456","doi":"10.2166/wqrj.2004.045","title":"Wet-Weather Flow Management in the Great Lakes Areas of Concern","year":2004,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Integrated Water Resources Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Government of Canada; Australian Government","keywords":"Sustainability; Stormwater; Combined sewer; Environmental planning; Government (linguistics); Surface runoff; Environmental science; Environmental protection; Business; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008429655,0.0001504974,0.0001877916,0.0001697241,0.0002574707,0.0001868461,0.001106347,0.00005282149,0.002438854],"category_scores_gemma":[0.00003251766,0.00007597646,0.0001254759,0.0003562099,0.0005236962,0.0002130575,0.0004492656,0.0007280291,0.0008074006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895474,"about_ca_system_score_gemma":0.000009933206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335442,"about_ca_topic_score_gemma":0.0004990133,"domain_scores_codex":[0.9954038,0.001197756,0.00050512,0.0002721768,0.001868866,0.0007522339],"domain_scores_gemma":[0.999283,0.0000479483,0.00006751934,0.0004530862,0.00003950089,0.0001089723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002619791,0.00553429,0.3031917,0.0006928003,0.001598402,0.007021996,0.2760296,0.1356367,0.02806981,0.01859818,0.03674814,0.1842586],"study_design_scores_gemma":[0.01166819,0.001633022,0.259394,0.0007286975,0.0001220749,0.0005375949,0.04537265,0.0009572142,0.04784975,0.211546,0.418673,0.001517873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419723,0.00003672826,0.0003945351,0.004498917,0.00005988251,0.0004687933,0.000003576105,0.00001068771,0.05255458],"genre_scores_gemma":[0.9953296,0.00005900775,0.000507471,0.0002269454,0.00006048856,0.00002816223,0.000003763827,0.00001523449,0.003769302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819248,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021735731704915,"score_gpt":0.3641146147619332,"score_spread":0.2619410415914417,"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."}}