{"id":"W2291252638","doi":"10.5539/sar.v5n1p97","title":"Food vs. Wood: Dynamic Choices for Kenyan Smallholders","year":2016,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agroforestry; Subsistence agriculture; Agriculture; Sowing; Cash crop; Eucalyptus; Wood production; Tree planting; Resource (disambiguation); Tropics; Food security; Agricultural science; Geography; Agricultural economics; Agronomy; Environmental science; Economics; Forest management; Biology; Ecology","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":[0.0005053636,0.0002808138,0.0003034811,0.0001879151,0.001135694,0.001759925,0.0004281509,0.0008990446,0.009129023],"category_scores_gemma":[0.001265061,0.0003002051,0.0001839054,0.0002980417,0.0007004383,0.002077335,0.0006941566,0.0005634908,0.0002653611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001989268,"about_ca_system_score_gemma":0.0009149862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01836324,"about_ca_topic_score_gemma":0.0652146,"domain_scores_codex":[0.9998398,0.00006300901,0.000002907725,0.00002374302,0.00001087715,0.00005972411],"domain_scores_gemma":[0.9996594,0.0001742461,0.00006230938,0.00001033928,0.00001171683,0.00008204579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003046519,0.001487944,0.1700553,0.0003587657,0.0001954771,0.004659347,0.004482894,0.4608648,0.01156225,0.2201222,0.006674939,0.1164896],"study_design_scores_gemma":[0.0002474778,0.001037652,0.1075104,0.0001927078,0.0001674906,0.0005467053,0.01955933,0.7337971,0.001473309,0.1126315,0.02270112,0.0001351786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772885,0.000242611,0.003896345,0.0009229422,0.000005827177,0.00003646713,0.0002278276,0.000005927991,0.0173736],"genre_scores_gemma":[0.9957111,0.0001340008,0.0007838781,0.00003973994,0.00000176968,0.0000177168,0.00003425545,0.000002057827,0.003275425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01836324,"threshold_uncertainty_score":0.03651273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272109533739709,"score_gpt":0.266123324495293,"score_spread":0.2434022291578959,"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."}}