{"id":"W3137040986","doi":"10.5304/jafscd.2021.102.015","title":"A global food systems framework for pandemic prevention, response, and recovery","year":2021,"lang":"en","type":"article","venue":"Journal of Agriculture Food Systems and Community Development","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Johns Hopkins University","keywords":"Food systems; Pandemic; Resilience (materials science); Business; Stakeholder; Sustainability; Food security; Population; Risk analysis (engineering); Environmental planning; Environmental resource management; Coronavirus disease 2019 (COVID-19); Environmental health; Political science; Economics; Geography; Agriculture; Medicine; Public relations; Disease; Infectious disease (medical specialty)","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":[0.006481925,0.001833842,0.0006025183,0.004316569,0.004215428,0.008236632,0.002644042,0.004142866,0.01005299],"category_scores_gemma":[0.002742761,0.000383047,0.00145721,0.003089288,0.01282071,0.007152603,0.006496362,0.004175497,0.001106251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01245684,"about_ca_system_score_gemma":0.01264619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01939393,"about_ca_topic_score_gemma":0.01698422,"domain_scores_codex":[0.9973733,0.001711175,0.0001097311,0.0002832745,0.0002328735,0.0002894909],"domain_scores_gemma":[0.9982787,0.000697416,0.0001779159,0.0001354546,0.0003611872,0.0003493563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003518207,0.000008740467,0.0002331415,0.00006077974,0.000007457041,0.00007624585,0.001016144,0.002543355,0.00006117476,0.9895247,0.002755629,0.003709204],"study_design_scores_gemma":[0.00001015821,0.00002935942,0.0006166188,0.0003285148,0.00001897227,0.0001211612,0.003063223,0.0046799,0.00008360266,0.8073807,0.183644,0.00002384221],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01035141,0.0116779,0.4042686,0.1217721,0.001709925,0.0007580874,0.001338639,0.0005912876,0.4475321],"genre_scores_gemma":[0.5907138,0.01531076,0.3446417,0.01013118,0.001049693,0.002410647,0.001414368,0.0002667267,0.03406108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01939393,"threshold_uncertainty_score":0.09038109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03485439982597469,"score_gpt":0.2586404252253002,"score_spread":0.2237860253993255,"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."}}