{"id":"W2964802203","doi":"10.5539/jsd.v12n4p177","title":"Determinants of Households’ Agricultural and Energy Associated Greenhouse Gases Emissions among Smallholders in Western Kenya","year":2019,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Agriculture; Livestock; Agricultural economics; Carbon footprint; Environmental science; Per capita; Biomass (ecology); Agricultural productivity; Natural resource economics; Agricultural science; Environmental protection; Geography; Economics; Forestry; Ecology; Population","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":[0.0003104885,0.000220104,0.0001495542,0.0004662852,0.0008857475,0.0004357313,0.0002626061,0.0002436669,0.002390151],"category_scores_gemma":[0.0008445833,0.0001825874,0.0001366562,0.0006624256,0.0004131109,0.0005126482,0.0004756674,0.0002160096,0.000183268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006806218,"about_ca_system_score_gemma":0.0004219915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05185978,"about_ca_topic_score_gemma":0.1306008,"domain_scores_codex":[0.9998124,0.00005239793,0.00001752685,0.00002714004,0.00002457873,0.00006595454],"domain_scores_gemma":[0.9996086,0.00007826085,0.0001804302,0.000007935394,0.0000389731,0.00008591823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000503513,0.00006255245,0.99551,0.00002050893,0.00001205989,0.000244534,0.001413336,0.00006234495,0.0005359654,0.00006842377,0.0001012371,0.001918744],"study_design_scores_gemma":[0.000002174012,0.00006045554,0.994406,0.00001955276,0.000008834325,0.00011759,0.004929609,0.0001426004,0.00006340793,0.00002454197,0.0002218418,0.000003489406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996063,0.00004415201,0.00001138381,0.00002837061,4.486373e-7,0.000007254435,0.00006092972,2.909322e-7,0.0002408836],"genre_scores_gemma":[0.9996976,0.00005831733,0.00003110216,0.00001070887,7.545557e-7,0.000007506687,0.00004276078,2.42765e-7,0.0001510765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05185978,"threshold_uncertainty_score":0.1031158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008483089710305524,"score_gpt":0.1960149521914904,"score_spread":0.1875318624811849,"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."}}