{"id":"W3135733186","doi":"10.29219/fnr.v65.5501","title":"Factors determining household-level food insecurity during COVID-19 epidemic: a case of Wuhan, China","year":2021,"lang":"en","type":"article","venue":"Food & Nutrition Research","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Food security; Food insecurity; China; Coronavirus disease 2019 (COVID-19); Environmental health; Business; Social distance; Purchasing; Outbreak; Geography; Socioeconomics; Medicine; Infectious disease (medical specialty); Disease; Economics; Marketing; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009064565,0.0005648537,0.0004777086,0.001522162,0.002813731,0.0008672262,0.001209673,0.0008721955,0.001254649],"category_scores_gemma":[0.001257479,0.0004387713,0.0005342825,0.001755709,0.001254121,0.00068683,0.00176321,0.0009075596,0.00008392302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004079678,"about_ca_system_score_gemma":0.004882738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2583325,"about_ca_topic_score_gemma":0.2373846,"domain_scores_codex":[0.9993735,0.0001154782,0.00004214311,0.000104925,0.00007995161,0.0002840362],"domain_scores_gemma":[0.9992992,0.00008041809,0.0001619291,0.00006481524,0.0001098835,0.0002838686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004181477,0.0001089189,0.9782627,0.00004665647,0.00005316662,0.009665741,0.007091202,0.0001673807,0.0005108721,0.0003170925,0.0005346184,0.003199987],"study_design_scores_gemma":[0.00000873122,0.00007387254,0.9814525,0.00003966681,0.00004158212,0.00198679,0.01435438,0.001030216,0.0001053825,0.0002999652,0.0005778568,0.00002895186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992023,0.00008933109,0.00005469529,0.0003264611,0.000003822618,0.00002538227,0.00004805173,0.000001403969,0.000248526],"genre_scores_gemma":[0.9993439,0.000142978,0.00009512388,0.0001026068,0.000007980234,0.00002377328,0.00008095232,0.000001544141,0.0002010925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2583325,"threshold_uncertainty_score":0.5136576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7503339383654896,"score_gpt":0.5761971847827345,"score_spread":0.174136753582755,"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."}}