{"id":"W3015814989","doi":"10.5539/jas.v12n5p57","title":"The System of Land Ownership and Its Effect on Agricultural Production: The Case of Ghana","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inheritance (genetic algorithm); Property rights; Land tenure; Agriculture; Natural resource; Business; Production (economics); Land law; Agricultural productivity; Agricultural land; Economic growth; Human capital; Agricultural economics; Sample (material); Capital (architecture); Natural resource economics; Development economics; Geography; Economics; Political science; Law","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":[0.0007788014,0.0001528857,0.0002335223,0.0006530247,0.001613181,0.001249166,0.0004399449,0.0004895794,0.005556785],"category_scores_gemma":[0.002128402,0.0001318487,0.0001982107,0.001950652,0.002314545,0.001400968,0.001368628,0.0007969057,0.0002079126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003675648,"about_ca_system_score_gemma":0.001331783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0854295,"about_ca_topic_score_gemma":0.1218958,"domain_scores_codex":[0.9993309,0.0003552141,0.00001457529,0.00003424696,0.0000401209,0.0002250665],"domain_scores_gemma":[0.9974809,0.001233616,0.0006804015,0.00006891047,0.0001700754,0.0003661551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004795732,0.0007381742,0.7871773,0.0003655169,0.0001219897,0.02233553,0.07910981,0.002749289,0.001822484,0.06479556,0.003013775,0.03729114],"study_design_scores_gemma":[0.0000885461,0.0002685693,0.7267231,0.0004534912,0.0001128737,0.001912958,0.2372866,0.002685856,0.0005606895,0.008628654,0.02125014,0.00002847368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905508,0.0005853801,0.00009185801,0.001299734,0.000004527044,0.00001050318,0.00004373555,0.000001525889,0.007412075],"genre_scores_gemma":[0.9988771,0.0003944688,0.00005633733,0.0000306536,0.000002976251,0.000003687334,0.00001327232,0.000001024097,0.0006204082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0854295,"threshold_uncertainty_score":0.1698645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695336063416481,"score_gpt":0.2076974145870055,"score_spread":0.1907440539528407,"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."}}