{"id":"W2188711342","doi":"10.5539/jgg.v7n4p65","title":"Low Impact Development and Transportation in the City of Mesa, AZ","year":2015,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Mesa; Low-impact development; Best practice; Storm; Surface runoff; Environmental planning; Stormwater management; Business; Stormwater; Environmental science; Civil engineering; Engineering; Geography; Computer science; Management; Meteorology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386343,0.0002368368,0.0001278868,0.0005927492,0.003467254,0.003241919,0.0005557702,0.0005237452,0.01755261],"category_scores_gemma":[0.0009454857,0.0001559043,0.0001409505,0.001072452,0.0008593996,0.0009728924,0.001999355,0.0009297747,0.001168525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006594481,"about_ca_system_score_gemma":0.007130338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1198177,"about_ca_topic_score_gemma":0.2965119,"domain_scores_codex":[0.9997334,0.00006253659,0.00000969968,0.00003084949,0.00009367651,0.00006985302],"domain_scores_gemma":[0.9997634,0.00003385196,0.00002036985,0.00001227142,0.00006811522,0.0001018936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001524075,0.0003835418,0.06472313,0.0006145543,0.0000583523,0.001930197,0.01020346,0.008717021,0.003297553,0.1022095,0.3466545,0.4610557],"study_design_scores_gemma":[0.00002037474,0.00007896131,0.06328465,0.0002100701,0.00002693848,0.0002999502,0.01058447,0.003230732,0.00123444,0.006720829,0.9142691,0.00003939045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2791384,0.01050397,0.01159176,0.06459554,0.0007427774,0.0004074583,0.004802466,0.001075495,0.6271421],"genre_scores_gemma":[0.6763727,0.01195705,0.0184436,0.002045308,0.0001472218,0.000303169,0.002468792,0.000124929,0.2881373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1198177,"threshold_uncertainty_score":0.2382406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394105916994247,"score_gpt":0.227714929014122,"score_spread":0.2137738698441795,"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."}}