{"id":"W2530384304","doi":"10.15353/pced.v15i0.60","title":"Rebuilding downtown: The importance of activity generators in downtown revitalization","year":2016,"lang":"en","type":"article","venue":"Papers in Canadian Economic Development","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Incentive; Political science; Economic growth; Economy; Geography; Economics; Market economy; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054465,0.0001056603,0.0001518005,0.00002728476,0.00007488278,0.00001606577,0.0001937467,0.00006839706,0.0008044094],"category_scores_gemma":[0.00005835501,0.0000334117,0.00003233007,0.0001659275,0.00004603662,0.00008812242,0.00002625894,0.00005105171,0.000008433436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503636,"about_ca_system_score_gemma":0.0002388399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05932007,"about_ca_topic_score_gemma":0.9587832,"domain_scores_codex":[0.9990189,0.00005486206,0.0002905631,0.0002489786,0.00005609167,0.0003306002],"domain_scores_gemma":[0.9996297,0.00008791137,0.00008550449,0.00006511837,0.00001518454,0.0001165652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005380996,0.00001012321,0.8689023,0.000004084805,0.000005359738,0.000002613303,0.0002128503,0.000008332315,0.004893371,0.0002788113,0.0003326259,0.1253442],"study_design_scores_gemma":[0.00007906376,0.000009267206,0.9355291,0.00002070594,0.000001049145,9.40514e-7,0.0001482696,0.000003377581,0.001461194,0.00007913414,0.06254893,0.000118978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898117,0.00007749186,1.936947e-7,0.002931071,0.00008131643,0.0002231226,0.00001110765,0.000005756235,0.006858288],"genre_scores_gemma":[0.9993575,0.00004443084,0.00003966125,0.0002102281,0.00003466491,0.00003161856,0.000006239362,7.090024e-7,0.0002749803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8994632,"threshold_uncertainty_score":0.946944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00843838835858608,"score_gpt":0.1854586985903013,"score_spread":0.1770203102317153,"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."}}