{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009349395,0.0001513354,0.0001346908,0.0001197894,0.0007225781,0.0001213624,0.0005829178,0.0001117021,0.0006260315],"category_scores_gemma":[0.0001644644,0.00008302771,0.00009479365,0.0007709109,0.0002382396,0.0002665138,0.0007313935,0.0001427856,0.000363922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007641812,"about_ca_system_score_gemma":0.0000354399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005399926,"about_ca_topic_score_gemma":0.0006749348,"domain_scores_codex":[0.9975938,0.0001150349,0.000139742,0.0004986454,0.0007015811,0.0009512621],"domain_scores_gemma":[0.9991345,0.0002148713,0.0000468007,0.0003028913,0.0001541307,0.0001467821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006156061,0.0007950597,0.6217993,0.001159074,0.0003132298,0.00008185409,0.002955718,0.0007044169,0.01475028,0.003606032,0.3215357,0.03168372],"study_design_scores_gemma":[0.0007211881,0.0004391456,0.2303437,0.00001903149,0.00001244471,0.000001162782,0.008513927,0.00003278029,0.000307389,0.0009038408,0.7585115,0.0001939055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566455,0.0001681337,0.000310941,0.01411872,0.00007714774,0.002207982,0.0000221723,0.0000824364,0.02636698],"genre_scores_gemma":[0.7907724,0.00008465436,0.0001184852,0.0001156855,0.00005087387,0.0001019639,0.00001503082,0.000009868699,0.208731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4369758,"threshold_uncertainty_score":0.6854606,"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."}}