{"id":"W4247797892","doi":"10.32920/ryerson.14663058.v1","title":"People, Place & Landscape : A Bottom-Up, Adaptive, Catalytic Approach to Tower Renewal","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Prosperity; Top-down and bottom-up design; Urban planning; Process (computing); Order (exchange); Ideology; Environmental planning; Sociology; Political science; Environmental ethics; Geography; Business; Civil engineering; Engineering; Law; Computer science; Politics","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":[0.0009159637,0.0003751654,0.0002351255,0.0007418095,0.002845244,0.009078738,0.0008390505,0.00192805,0.01036227],"category_scores_gemma":[0.001026287,0.0001855917,0.0003092545,0.001211616,0.01740788,0.004466126,0.003545789,0.001728771,0.00110176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004831173,"about_ca_system_score_gemma":0.002980329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347626,"about_ca_topic_score_gemma":0.03123711,"domain_scores_codex":[0.9992067,0.0004401075,0.00001478955,0.00009463337,0.0001610003,0.00008278334],"domain_scores_gemma":[0.9997167,0.00008540026,0.00002462943,0.00005373367,0.00003792401,0.00008158693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007386034,0.00001140103,0.0006591654,0.00005429005,0.000004463638,0.0001416823,0.007986204,0.0005828901,0.0002181963,0.9598236,0.009333871,0.02117683],"study_design_scores_gemma":[0.000008950005,0.00002201866,0.002077942,0.0001011694,0.000009854455,0.0002905189,0.01483124,0.001455358,0.0004386191,0.5615535,0.4191964,0.00001436662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02323822,0.003744366,0.09482648,0.03401105,0.0007781642,0.0000615957,0.0001266134,0.0003126769,0.8429009],"genre_scores_gemma":[0.8229581,0.003093163,0.04412522,0.002127148,0.0003138612,0.00009450685,0.0001146752,0.0002111372,0.1269622],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01347626,"threshold_uncertainty_score":0.03505284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473122749959227,"score_gpt":0.216517342063105,"score_spread":0.1917861145635127,"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."}}