{"id":"W2742617682","doi":"10.1163/17087384-12340004","title":"Land Grabbing, Tenure Security and Livelihoods in Kenya","year":2016,"lang":"en","type":"article","venue":"African Journal of Legal Studies","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land grabbing; Livelihood; Independence (probability theory); Customary land; Land tenure; Political science; Corporate governance; Colonialism; Political economy; Geography; Development economics; Economic growth; Business; Economics; Law; Agriculture","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":[0.0006302717,0.0001290791,0.0001890949,0.0009900461,0.005765864,0.002398697,0.0004088084,0.0009398207,0.006491362],"category_scores_gemma":[0.001452517,0.0001645622,0.00007500856,0.001916827,0.00603464,0.00240083,0.002736799,0.0009748645,0.0002126987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005333326,"about_ca_system_score_gemma":0.002741753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0621765,"about_ca_topic_score_gemma":0.2320556,"domain_scores_codex":[0.9995288,0.0001344842,0.00002217459,0.00003011737,0.00005449881,0.000230027],"domain_scores_gemma":[0.9989765,0.0002274745,0.0005069597,0.00001437793,0.00006411185,0.0002107175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001771475,0.0003578133,0.3545955,0.0007361497,0.00004480867,0.007233523,0.171189,0.0009262649,0.002675304,0.3949814,0.005915718,0.06116741],"study_design_scores_gemma":[0.0000294832,0.0002312143,0.6235604,0.001577393,0.00002881822,0.002055709,0.2669945,0.0006369869,0.0004491013,0.03210052,0.072265,0.0000707994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325664,0.006927228,0.0001599013,0.005985064,0.00001761388,0.0000261278,0.0001090786,0.000002149127,0.05420642],"genre_scores_gemma":[0.9953836,0.002269145,0.00007173444,0.0001773341,0.000005745964,0.00001042765,0.00002074228,7.869754e-7,0.002060659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0621765,"threshold_uncertainty_score":0.1236292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630336736709935,"score_gpt":0.2274502725194674,"score_spread":0.211146905152368,"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."}}