{"id":"W2001375312","doi":"10.3992/1943-4618-9.1.40","title":"DESIGNING FOR ENVIRONMENTAL AND INFRASTRUCTURE SUSTAINABILITY: ONTARIO CASE STUDIES FOR RETROFITS AND NEW DEVELOPMENTS","year":2014,"lang":"en","type":"article","venue":"Journal of Green Building","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BIO (Canada)","funders":"","keywords":"Land use; Low-impact development; Context (archaeology); Environmental resource management; Environmental planning; Sustainability; Scale (ratio); Environmental quality; Watershed; Land development; Green infrastructure; Spatial planning; Sustainable development; Land management; Geography; Environmental science; Stormwater; Surface runoff; Civil engineering; Engineering; Stormwater management; Computer science; Cartography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005077868,0.000128741,0.0002056233,0.00006811423,0.0003040257,0.00003608712,0.00009036891,0.0000396363,0.00001918595],"category_scores_gemma":[0.0001254938,0.0001108256,0.0000440768,0.00003496871,0.0001091291,0.0003800849,0.000202264,0.00009759908,3.291538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879108,"about_ca_system_score_gemma":0.00002305637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004239577,"about_ca_topic_score_gemma":0.001249432,"domain_scores_codex":[0.9991271,0.00002511059,0.0002910607,0.0001805409,0.000150451,0.0002257621],"domain_scores_gemma":[0.9994234,0.0001435085,0.0002186426,0.00007520445,0.00001414588,0.0001250902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001225661,0.00002451682,0.9012765,0.00009678958,0.000228345,0.00005839678,0.007710341,0.0004559167,0.00794334,0.0001115267,0.004045344,0.0779264],"study_design_scores_gemma":[0.007726198,0.001998311,0.8022644,0.0001635696,0.0008747466,0.003971511,0.009070786,0.001477886,0.002790827,0.0437854,0.1247863,0.001090084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367272,0.0001077954,0.06250197,0.0002241731,0.00008693374,0.0003239494,0.000002060303,0.000004747943,0.00002114498],"genre_scores_gemma":[0.8568425,0.00001052855,0.141809,0.00008127206,0.00006889365,0.0000063136,4.978484e-7,0.00001122967,0.001169793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.120741,"threshold_uncertainty_score":0.4519339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253228729385638,"score_gpt":0.2571535967125905,"score_spread":0.2346213094187342,"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."}}