{"id":"W4378473309","doi":"10.1017/s1742170523000170","title":"Characterizing food systems to better understand their vulnerabilities: a case study in Québec and São Paulo","year":2023,"lang":"en","type":"article","venue":"Renewable Agriculture and Food Systems","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Food security; Food systems; Business; Food processing; Sustainable agriculture; Agriculture; Distribution (mathematics); Production (economics); Food distribution; Vulnerability (computing); Environmental economics; Industrial organization; Environmental resource management; Natural resource economics; Economics; Computer security; Political science; Computer science; Geography; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001095088,0.0003893406,0.0002655018,0.001907042,0.005436542,0.001952185,0.0009940516,0.001135306,0.00174778],"category_scores_gemma":[0.002241674,0.0002240448,0.0003115394,0.00407452,0.002914333,0.0008837108,0.001237748,0.0007379337,0.00007936212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04090949,"about_ca_system_score_gemma":0.01778165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9717556,"about_ca_topic_score_gemma":0.9884413,"domain_scores_codex":[0.9991233,0.0002871349,0.00002336558,0.0001069389,0.00016439,0.000294946],"domain_scores_gemma":[0.9979322,0.0008692736,0.0002041964,0.0001095863,0.0006322548,0.0002524692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002907279,0.001005187,0.6005116,0.0008701687,0.0002118544,0.03875295,0.2136164,0.0153265,0.009629529,0.04021654,0.008904546,0.07066401],"study_design_scores_gemma":[0.0000523596,0.000224324,0.5553193,0.0004664455,0.00008730742,0.001920793,0.3626853,0.01515188,0.00198804,0.002890768,0.05909592,0.0001175792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877315,0.0003085582,0.001056141,0.0006584351,0.000007027726,0.0002349795,0.0005657569,0.00001179132,0.009425821],"genre_scores_gemma":[0.9954336,0.0002826638,0.001481616,0.0001255726,0.000001950708,0.0000764226,0.0002607181,0.000006317468,0.002331067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04090949,"threshold_uncertainty_score":0.2968205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904494616379777,"score_gpt":0.2096439644889537,"score_spread":0.1805990183251559,"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."}}