{"id":"W7130280391","doi":"","title":"A spatial-empirical examination of wealth in Toronto","year":2021,"lang":"en","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Census; Urbanization; Population; Consumption (sociology); Position (finance); Market segmentation; Urban planning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002156011,0.0001292067,0.0001500074,0.001474044,0.001052553,0.0008500954,0.0002698697,0.000130473,0.002714995],"category_scores_gemma":[0.001652169,0.0001038695,0.0002058548,0.005454363,0.0006311066,0.0003667503,0.0008987226,0.0001560411,0.0001417964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005668438,"about_ca_system_score_gemma":0.002354735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.868049,"about_ca_topic_score_gemma":0.9344006,"domain_scores_codex":[0.9998434,0.00003733633,0.00001082561,0.00002499312,0.00004169549,0.00004167871],"domain_scores_gemma":[0.9993025,0.000151489,0.0001816453,0.00004553636,0.0001940795,0.0001247646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000673688,0.00001429112,0.9790978,0.00005950762,0.0000612595,0.0002381822,0.01029721,0.0007875292,0.0002615792,0.00146677,0.0009595226,0.006688969],"study_design_scores_gemma":[0.000001024195,0.00001042935,0.9891019,0.00001951733,0.00001597238,0.000040144,0.008948603,0.0006838636,0.00004938832,0.00007730509,0.001047772,0.000004159031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969331,0.0001186385,0.00008177593,0.00006572072,0.000001218181,0.000005270039,0.0009341354,0.000002183613,0.001857983],"genre_scores_gemma":[0.9991033,0.00009846693,0.00007367317,0.000003401513,9.535936e-7,0.000003473978,0.0004015112,0.000001020724,0.0003141898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.131951,"threshold_uncertainty_score":0.2654562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084149937856601,"score_gpt":0.4389154472511804,"score_spread":0.3305004534655202,"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."}}