{"id":"W3170060144","doi":"10.5539/jfr.v10n4p1","title":"Food Safety Economics in the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Supply chain; Pandemic; Government (linguistics); Business; Sustainability; Food safety; Globalization; Public health; Food processing; Coronavirus disease 2019 (COVID-19); Food systems; Marketing; Food security; Economics; Geography; Political science; Medicine; Infectious disease (medical specialty); Agriculture; Market economy","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":[0.001096807,0.0001636319,0.0002655628,0.0006038012,0.0006783,0.002248036,0.0002118468,0.001623144,0.006163653],"category_scores_gemma":[0.003567736,0.0001429931,0.0002824811,0.0008431082,0.001418445,0.001921294,0.0009126245,0.001580967,0.0002322198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006037753,"about_ca_system_score_gemma":0.002333911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206648,"about_ca_topic_score_gemma":0.01365078,"domain_scores_codex":[0.999651,0.0001593475,0.000005511965,0.00002083044,0.00005024465,0.0001130883],"domain_scores_gemma":[0.9984329,0.001011248,0.0001664913,0.0000341436,0.0002039633,0.0001511278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002551441,0.0001896131,0.02788646,0.0001145276,0.00003921132,0.001259877,0.000380535,0.06585767,0.0004096387,0.85195,0.02432188,0.02733541],"study_design_scores_gemma":[0.00008597519,0.0002485953,0.05812143,0.0003067578,0.0000392724,0.000452789,0.006449518,0.05588594,0.0003620481,0.8109317,0.06703846,0.00007739165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6181551,0.01402648,0.006693296,0.1092505,0.0004917525,0.00007351518,0.0008762153,0.00003538355,0.2503977],"genre_scores_gemma":[0.9879645,0.003059923,0.0002790382,0.001064602,0.0001540738,0.00001138487,0.00007401388,0.000004855094,0.007387683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02206648,"threshold_uncertainty_score":0.04387605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3301225297982496,"score_gpt":0.398950129853259,"score_spread":0.06882760005500943,"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."}}