{"id":"W4411114982","doi":"10.1016/j.foodpol.2025.102833","title":"Agricultural intensification through multiple-season farming: Effects on resiliency, food security and nutrition","year":2025,"lang":"en","type":"article","venue":"Food Policy","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University; Cornell University","keywords":"Agriculture; Food security; Business; Agricultural economics; Natural resource economics; Agricultural science; Economics; Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001078609,0.0004597404,0.0003874745,0.0003052244,0.0006389938,0.0009966386,0.0004488625,0.0005004689,0.005338259],"category_scores_gemma":[0.00294635,0.0001741256,0.001050521,0.0006618567,0.0007794237,0.0009043033,0.001780786,0.0008594696,0.0002308707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163024,"about_ca_system_score_gemma":0.001226877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669471,"about_ca_topic_score_gemma":0.02999592,"domain_scores_codex":[0.9990767,0.0004905963,0.00002817084,0.0001118582,0.00004885995,0.000243788],"domain_scores_gemma":[0.9974962,0.0008146715,0.0009222801,0.0001247379,0.0001284555,0.0005136885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002556475,0.002112349,0.8903661,0.0009961459,0.001657275,0.0009125206,0.003566954,0.002526681,0.004506118,0.003328679,0.002785582,0.08468527],"study_design_scores_gemma":[0.0000472165,0.0007272679,0.9902288,0.000237344,0.0004404299,0.00007837821,0.002095058,0.0009343636,0.000475248,0.0009837152,0.003737091,0.00001519518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947113,0.001582445,0.0004022905,0.001176539,0.00002422557,0.0000281257,0.0003780048,0.00001437131,0.001682886],"genre_scores_gemma":[0.9973908,0.0008243129,0.0006274248,0.0002054738,0.00002172956,0.00004192751,0.0001360344,0.00000468795,0.0007476122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669471,"threshold_uncertainty_score":0.03319508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08370095623017282,"score_gpt":0.4300955015584758,"score_spread":0.3463945453283029,"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."}}