{"id":"W4392501422","doi":"10.20955/wp.2024.004","title":"Trade Risk and Food Security","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Food security; Business; Computer science; Biology; Agriculture; Ecology","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":[0.0005239682,0.0002938821,0.0003592592,0.0006941156,0.0004239577,0.001613163,0.0002395345,0.0008197094,0.004212114],"category_scores_gemma":[0.002570081,0.0001290353,0.0004359598,0.001239995,0.001360879,0.001375405,0.001051844,0.0007579919,0.0002548387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007949118,"about_ca_system_score_gemma":0.0004574352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436893,"about_ca_topic_score_gemma":0.000841618,"domain_scores_codex":[0.9997424,0.00010018,0.00001084071,0.00004864424,0.0000364173,0.00006144906],"domain_scores_gemma":[0.9978738,0.0009202447,0.0008779032,0.0001426017,0.00006886184,0.0001166205],"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":[0.0001510445,0.0001913908,0.118277,0.0002106291,0.0003240202,0.0007009369,0.0007341232,0.1736436,0.002828593,0.6605233,0.002290215,0.0401252],"study_design_scores_gemma":[0.00002282682,0.0001538189,0.04143381,0.0001415609,0.00005996656,0.0003579208,0.0006544287,0.06012012,0.000722037,0.8852779,0.01101818,0.00003736951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090504,0.005043724,0.03472647,0.008080666,0.0000822908,0.0000209997,0.0004788853,0.00005690264,0.04245967],"genre_scores_gemma":[0.9962411,0.001507849,0.0007221953,0.0000809058,0.00004360904,0.00000569544,0.0000490858,0.000004098404,0.001345533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004212114,"threshold_uncertainty_score":0.0140909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206914439731572,"score_gpt":0.2102235241706562,"score_spread":0.1981543797733404,"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."}}