{"id":"W4250344315","doi":"10.32920/ryerson.14664105.v1","title":"Tactical urbanism benefits and constraints: a Brampton case study","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Urbanism; New Urbanism; Stakeholder; Intervention (counseling); Architectural engineering; Key (lock); Environmental planning; Business; Transport engineering; Computer science; Political science; Engineering; Architecture; Public relations; Geography; Computer security; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948396,0.0003971239,0.0003731099,0.0008773015,0.01225516,0.002443995,0.001575502,0.002300562,0.006252614],"category_scores_gemma":[0.003903131,0.0003647559,0.0001952047,0.001629995,0.005868272,0.001664706,0.003504987,0.001730118,0.0003728936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01212451,"about_ca_system_score_gemma":0.007294376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2064386,"about_ca_topic_score_gemma":0.5294566,"domain_scores_codex":[0.9975407,0.001380434,0.00005051887,0.0001701239,0.0003695466,0.0004886326],"domain_scores_gemma":[0.9978491,0.001209633,0.0001441324,0.0001436861,0.0002735177,0.0003799576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003912356,0.002688237,0.02813875,0.0005200431,0.00002697458,0.03842859,0.7766091,0.003649058,0.002929802,0.0738779,0.0104795,0.06226089],"study_design_scores_gemma":[0.00009078388,0.0005716629,0.01615565,0.0003146163,0.00002007747,0.003415957,0.8583516,0.003013338,0.001212439,0.005594147,0.1112105,0.00004927448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584501,0.0001752436,0.00177169,0.001578884,0.00001641116,0.0004233084,0.00007307583,0.000009177198,0.03750204],"genre_scores_gemma":[0.9742561,0.0004717522,0.003298052,0.0002350987,0.000005781572,0.0003682875,0.00005318998,0.00001434427,0.0212974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7935614,"threshold_uncertainty_score":0.410474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927279831316667,"score_gpt":0.2508296902253823,"score_spread":0.2215568919122156,"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."}}