{"id":"W651703633","doi":"","title":"Sustainable stormwater management: development of a decision-making tool to help in best management practices selection. Case study in Laval (Canadá).","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stormwater management; Selection (genetic algorithm); Environmental planning; Stormwater; Best practice; Engineering; Operations research; Computer science; Geography; Management; Surface runoff; Artificial intelligence; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008809043,0.0002521774,0.0002329376,0.0006868541,0.0002131892,0.0001144949,0.0004022397,0.00004132746,0.002546107],"category_scores_gemma":[0.00003205174,0.0002366771,0.00003075242,0.001422691,0.00003480218,0.001074655,0.001331438,0.000128389,0.0007895701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471652,"about_ca_system_score_gemma":0.00001720048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03614688,"about_ca_topic_score_gemma":0.1246185,"domain_scores_codex":[0.9972053,0.00008808901,0.0007224102,0.0006481641,0.0006127263,0.0007232683],"domain_scores_gemma":[0.9992284,0.00005498968,0.0001944746,0.0004000968,0.00002577846,0.00009623348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001095907,0.004130806,0.867542,0.00020092,0.0002191235,0.007595462,0.01489518,0.01602498,0.0001064416,0.0007143652,0.009159869,0.07930121],"study_design_scores_gemma":[0.002298539,0.0003449729,0.7886689,0.0001544077,0.00009856797,0.0001050742,0.1726699,0.001743736,0.0001013789,0.0005492626,0.0322733,0.0009919511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707257,0.000005759508,0.002556146,0.0001085153,0.00005890887,0.003528535,4.289459e-7,0.00003875952,0.02297726],"genre_scores_gemma":[0.9332862,0.000003072666,0.05238977,0.0001094532,0.000006954811,0.0008265883,9.771776e-7,0.00002227504,0.01335465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1577747,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014776170616798,"score_gpt":0.2699289139402363,"score_spread":0.2551527433234383,"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."}}