{"id":"W3083357561","doi":"10.5751/es-12653-260418","title":"Why do large-scale agricultural investments induce different socio-economic, food security, and environmental impacts? Evidence from Kenya, Madagascar, and Mozambique","year":2021,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Economic Growth and Development","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation; Belmont Forum; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche; National Science Foundation","keywords":"Food security; Agriculture; Scale (ratio); Geography; Natural resource economics; Agricultural economics; Socioeconomics; Ecology; Economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159591,0.0002900652,0.0002515189,0.000909776,0.0009805635,0.001054398,0.0004146101,0.000603769,0.004385227],"category_scores_gemma":[0.004780306,0.0002173653,0.0003013285,0.001679747,0.001701246,0.000783938,0.001370709,0.000647294,0.0001850037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579304,"about_ca_system_score_gemma":0.0007358579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0897191,"about_ca_topic_score_gemma":0.1706909,"domain_scores_codex":[0.9991714,0.0002850606,0.00003024393,0.0001214343,0.0001012624,0.0002906987],"domain_scores_gemma":[0.9939313,0.001874612,0.002990519,0.0002248464,0.0003817962,0.0005970905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006731787,0.0002466241,0.9593498,0.0003595731,0.0005966903,0.001066854,0.004912259,0.0003442389,0.001200782,0.003480804,0.002094483,0.02567477],"study_design_scores_gemma":[0.00002642078,0.00006579309,0.9938403,0.0001303279,0.0001593892,0.00006742594,0.003007779,0.00006080196,0.0001513247,0.0002990221,0.002182174,0.00000922287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880133,0.002858436,0.00007087322,0.002754363,0.00001225556,0.00001514783,0.0003925027,0.000002237542,0.005881054],"genre_scores_gemma":[0.9984829,0.0009876094,0.00003158021,0.0001400496,0.000005110108,0.000007433993,0.0001066742,9.512181e-7,0.0002377133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0897191,"threshold_uncertainty_score":0.1783938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008370915708498506,"score_gpt":0.1957636220209904,"score_spread":0.1873927063124919,"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."}}