{"id":"W4393937886","doi":"10.1080/00220388.2024.2328070","title":"Minding ‘Productive Gaps’: An Appraisal of Non-operational Land Deals in Seven Sub-Saharan African Countries","year":2024,"lang":"en","type":"article","venue":"The Journal of Development Studies","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Vetenskapsrådet","keywords":"Development economics; Political science; Economic growth; Geography; Natural resource economics; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241593,0.0001761664,0.0003482887,0.00004741598,0.0002186956,0.00004550887,0.0002565738,0.00004323125,0.00002490907],"category_scores_gemma":[0.00008761432,0.0000503798,0.00004965624,0.0003882962,0.0000922504,0.0002734564,0.00009137084,0.0001732681,0.000007271444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076715,"about_ca_system_score_gemma":0.00009636401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002264884,"about_ca_topic_score_gemma":0.0004422131,"domain_scores_codex":[0.9984568,0.000111128,0.0005949085,0.0001520945,0.0004617648,0.0002232586],"domain_scores_gemma":[0.9989926,0.0004558198,0.0002054065,0.00003042658,0.0002642096,0.00005152945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001921105,0.001103763,0.4759451,0.0006844015,0.004831604,0.0002681237,0.2685421,0.0008862333,0.08559181,0.001794397,0.05031685,0.1081146],"study_design_scores_gemma":[0.0002213276,0.0002344645,0.9541493,0.0004228498,0.00004672923,0.0000776535,0.009543433,0.000008672377,0.01931652,0.0007221308,0.01501242,0.0002444816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932207,0.004575633,0.000004998374,0.001570669,0.0003701919,0.0001607123,0.00001028062,0.00001015892,0.00007660641],"genre_scores_gemma":[0.9975711,0.001548842,0.0004080781,0.00005298589,0.0002834937,0.000008508145,0.00001097146,0.000001475964,0.000114549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4782043,"threshold_uncertainty_score":0.2054428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654610215980823,"score_gpt":0.2792134462500938,"score_spread":0.2526673440902856,"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."}}