{"id":"W2967699654","doi":"10.1177/0956247819861899","title":"Urban food insecurity and its determinants: a baseline study of Bengaluru","year":2019,"lang":"en","type":"article","venue":"Environment and Urbanization","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Food security; Urban agriculture; Vulnerability (computing); Work (physics); Baseline (sea); Food insecurity; Socioeconomics; Socioeconomic status; Geography; Economic growth; Consumption (sociology); Agriculture; Business; Economics; Political science; Sociology; Population; Engineering; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589941,0.0001028897,0.0001924185,0.00007301235,0.0003377277,0.000003787531,0.00004705252,0.0001099711,0.0004454953],"category_scores_gemma":[0.00007250478,0.00009997709,0.00001091244,0.00008336149,0.00001869099,0.0001475044,0.0001055203,0.0001850525,0.00005232576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003274452,"about_ca_system_score_gemma":0.00001858411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004992104,"about_ca_topic_score_gemma":0.00010971,"domain_scores_codex":[0.9988024,0.0002591289,0.0003807121,0.000223564,0.000163412,0.0001707559],"domain_scores_gemma":[0.9993821,0.0001168719,0.0002441407,0.0001512944,0.00002576139,0.00007980919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003132739,0.0002449822,0.9835528,0.0002050343,0.00001167286,3.935713e-7,0.013882,0.00001271115,0.00005290003,0.00154586,0.0002546319,0.0002056824],"study_design_scores_gemma":[0.002279367,0.001342921,0.9800657,0.00008714373,0.00005535246,6.157577e-7,0.005740998,0.004580125,0.00002647283,0.0001869236,0.005468431,0.000165929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976624,0.0005374229,0.00002856746,0.0001147603,0.0001398562,0.001238145,0.00003283647,0.00001929579,0.000226662],"genre_scores_gemma":[0.9990295,0.0003090703,0.00004276742,0.0001055874,0.00005909528,0.00002772012,0.00002895945,0.00001265389,0.0003846496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008140999,"threshold_uncertainty_score":0.4877861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06771240207708237,"score_gpt":0.3485280582324334,"score_spread":0.2808156561553511,"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."}}