{"id":"W3146613095","doi":"10.1088/1748-9326/abf529","title":"More farms, less specialized landscapes, and higher crop diversity stabilize food supplies","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Helmholtz Association","keywords":"Crop diversity; Agriculture; Subsidy; Food systems; Business; Production (economics); Diversity (politics); Natural resource economics; Commodity; Asynchrony (computer programming); Resilience (materials science); Crop; Psychological resilience; Food security; Agricultural economics; Economics; Agronomy; Ecology; Market economy; Computer science; Biology","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":[0.0004220898,0.000205303,0.0003321464,0.0005041768,0.0004139448,0.001225224,0.0002399116,0.0004009226,0.004689201],"category_scores_gemma":[0.002210141,0.0001170005,0.0003434785,0.0006875346,0.0007797271,0.0006744533,0.0008075171,0.0002831349,0.0003145309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006010832,"about_ca_system_score_gemma":0.0002616594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004077323,"about_ca_topic_score_gemma":0.007674715,"domain_scores_codex":[0.9996912,0.00008399702,0.00001683032,0.0001033561,0.00003072722,0.00007387473],"domain_scores_gemma":[0.9977947,0.0006461446,0.0008267059,0.0003704471,0.0001360163,0.0002259185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005142239,0.0001284294,0.9111719,0.000174503,0.0005728229,0.0004490503,0.0004750497,0.02687962,0.02947287,0.00370694,0.001428091,0.02502655],"study_design_scores_gemma":[0.00001256603,0.000078214,0.989129,0.00001694254,0.000083711,0.0000912785,0.0006640371,0.0049177,0.001373085,0.002367316,0.001255357,0.00001085769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979114,0.00006407471,0.0007467886,0.00007467683,0.000002305503,0.000002898068,0.0001631103,0.00001443828,0.001020367],"genre_scores_gemma":[0.9995974,0.0000214049,0.0001716723,0.00001775699,0.000002638044,0.000001473862,0.00008001042,0.000002315865,0.000105512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004689201,"threshold_uncertainty_score":0.01568687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463806170157514,"score_gpt":0.2338702718769522,"score_spread":0.1992322101753771,"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."}}