{"id":"W3027745686","doi":"10.3390/land9050167","title":"The Rush for Land and Agricultural Investment in Ethiopia: What We Know and What We Are Missing","year":2020,"lang":"en","type":"article","venue":"Land","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Agriculture; Government (linguistics); Agricultural land; Investment (military); Land use; Business; Geography; Environmental resource management; Natural resource economics; Environmental planning; Political science; Economics; Politics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00868498,0.0006768596,0.001146164,0.005398388,0.001519683,0.008943113,0.0009604183,0.002755986,0.004178762],"category_scores_gemma":[0.0229257,0.0005913856,0.0007014989,0.008926097,0.003973183,0.01191608,0.001805778,0.002490127,0.0004505537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005103996,"about_ca_system_score_gemma":0.01469391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894459,"about_ca_topic_score_gemma":0.03607032,"domain_scores_codex":[0.995757,0.002160321,0.000504903,0.0003957723,0.0006606296,0.0005214169],"domain_scores_gemma":[0.9628047,0.02985052,0.003258713,0.0004115622,0.002850929,0.0008236211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002848994,0.000226944,0.04120721,0.1020976,0.0009553322,0.002186458,0.02000658,0.001649121,0.0008721732,0.0605264,0.04377171,0.7262156],"study_design_scores_gemma":[0.00004782186,0.0003210839,0.05823769,0.2561825,0.001377936,0.002050416,0.1394367,0.0007350589,0.001273498,0.03016337,0.5099801,0.0001938904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02345398,0.9296011,0.0003795368,0.04046135,0.001098216,0.00002440781,0.0006448096,0.00000704146,0.004329516],"genre_scores_gemma":[0.1658629,0.825209,0.000968439,0.006514177,0.0007435707,0.00004147211,0.0002319093,0.000009452132,0.0004189426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01894459,"threshold_uncertainty_score":0.0459311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551516361410482,"score_gpt":0.2158178707459277,"score_spread":0.1903027071318229,"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."}}