{"id":"W2259421710","doi":"","title":"Supermarket Redlining and Food Deserts: Characterizing Food Insecurity and Urban Decline","year":2014,"lang":"en","type":"article","venue":"WinnSpace (University of Winnipeg)","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food insecurity; Food security; Geography; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003688305,0.0001530811,0.0002724741,0.00002065926,0.0003263543,0.00003580573,0.0001909061,0.0001345799,0.00005109223],"category_scores_gemma":[0.00009298523,0.00008179418,0.00006688615,0.0002387417,0.0002096042,0.0003350185,0.000264042,0.0001490294,0.000001312864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031109,"about_ca_system_score_gemma":0.00000795538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002866397,"about_ca_topic_score_gemma":0.002142184,"domain_scores_codex":[0.9990047,0.0001319145,0.000111204,0.000348056,0.0001526746,0.0002514814],"domain_scores_gemma":[0.9993655,0.0001884875,0.00009942627,0.00008049559,0.0001073037,0.0001587497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001827207,0.0001905924,0.905551,0.0001355094,0.00008847596,0.000006719682,0.004783879,3.526453e-7,0.05684758,0.001833589,0.002615431,0.02776415],"study_design_scores_gemma":[0.0003663359,0.0008523097,0.942714,0.00003289675,0.0000334534,0.000007759678,0.004847619,0.00008222608,0.0001948319,0.0005016775,0.05014084,0.0002260495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931902,0.0002706497,0.00001720454,0.00565081,0.00003137186,0.0001492728,0.00003554903,0.00005496249,0.0006000217],"genre_scores_gemma":[0.9991819,0.00006391632,0.0002279977,0.0001717014,0.0001028351,2.61533e-7,0.00002929891,0.00000103582,0.0002210654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05665275,"threshold_uncertainty_score":0.333547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008943633237609284,"score_gpt":0.1574643584406953,"score_spread":0.148520725203086,"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."}}