{"id":"W1843600515","doi":"10.3968/4410","title":"Mapping Food Desert Persistency in Thunder Bay, Ontario, 1996-2006","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Natural Resources Canada; Lakehead University","funders":"","keywords":"Bay; Thunder; Poverty; Geography; Food insecurity; Socioeconomics; Census; Food habits; Government (linguistics); Environmental health; Food security; Economic growth; Sociology; Medicine; Archaeology; Economics; Agriculture; Population; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003045651,0.0002460411,0.0002301444,0.001202633,0.002044692,0.000965853,0.0009432103,0.0002636294,0.001484049],"category_scores_gemma":[0.001492759,0.0002717734,0.0002499257,0.003050105,0.000740843,0.0003371572,0.001038107,0.0002668244,0.0002441606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02814964,"about_ca_system_score_gemma":0.02014331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946398,"about_ca_topic_score_gemma":0.9988569,"domain_scores_codex":[0.9996697,0.00001502611,0.00001841227,0.00005809007,0.0001410931,0.00009764525],"domain_scores_gemma":[0.9983283,0.00005595911,0.0003019973,0.00005119298,0.001015774,0.0002467711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001278423,0.00002923342,0.9639302,0.0002078498,0.00007912317,0.000348516,0.0109082,0.0003601624,0.00197542,0.0002571336,0.005886427,0.01588987],"study_design_scores_gemma":[0.000003088589,0.000008376134,0.9910781,0.00002731467,0.00001036267,0.000025862,0.0042262,0.0001169929,0.000087994,0.00001112664,0.004400113,0.000004445033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776072,0.0008126403,0.0003391317,0.0004045051,0.00001329734,0.0001283816,0.01294565,0.00003107526,0.007718215],"genre_scores_gemma":[0.98632,0.000814425,0.0007857595,0.00008624208,0.000006351016,0.0001264482,0.005568954,0.00001316879,0.00627859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02814964,"threshold_uncertainty_score":0.2042409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651574160625183,"score_gpt":0.1863259639058459,"score_spread":0.1698102222995941,"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."}}