{"id":"W4392619298","doi":"10.1080/19320248.2024.2327557","title":"Understanding Consumer Adaptations in Response to COVID-19: A Rural Canadian Perspective","year":2024,"lang":"en","type":"article","venue":"Journal of Hunger & Environmental Nutrition","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Perspective (graphical); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public economics; Political science; Economics; Biology; Medicine; Virology; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002397429,0.00009465385,0.000113284,0.0000808641,0.0001213627,0.00007206052,0.00008537848,0.00006367799,0.0005785115],"category_scores_gemma":[0.00005084146,0.00003881533,0.00008647782,0.0002722542,0.00003508733,0.0002006376,0.0000131541,0.0001793527,0.00003424499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935495,"about_ca_system_score_gemma":0.00004428523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002429058,"about_ca_topic_score_gemma":0.02128651,"domain_scores_codex":[0.9992402,0.00009449014,0.0001959121,0.0001155348,0.0001815553,0.0001723655],"domain_scores_gemma":[0.9994351,0.0001510405,0.00004103235,0.00001789874,0.00000723107,0.0003477072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003916765,0.0002308345,0.0008950574,0.000008495112,0.00003990066,0.0003443026,0.002381289,0.00004900089,0.9767233,0.0005641298,0.01746044,0.000911547],"study_design_scores_gemma":[0.001751771,0.00277331,0.4093958,0.0007231386,0.0001187809,0.00135833,0.2337817,0.00008253368,0.002670079,0.009586889,0.3369515,0.0008060488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291126,0.001679721,0.00001373856,0.06864806,0.0001475368,0.0001841499,0.000122785,0.00001049269,0.00008098584],"genre_scores_gemma":[0.9988126,0.0002501835,0.00004680133,0.0006351677,0.0001780615,0.000004677917,0.00001485199,0.000001149384,0.00005649176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9740533,"threshold_uncertainty_score":0.9965724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574867401957121,"score_gpt":0.2398016233419102,"score_spread":0.204052949322339,"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."}}