{"id":"W2998727043","doi":"10.31124/advance.11472261.v2","title":"Women's Tenure Rights and Land Reform in Angola","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Commission; International Development Research Centre; World Bank Group","keywords":"Land tenure; Livelihood; Human settlement; Inheritance (genetic algorithm); Legislation; Business; Government (linguistics); Security of tenure; Land law; Population; Economic growth; Customary land; Property rights; Development economics; Political science; Geography; Economics; Agriculture; Law; Sociology","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":[0.00008287255,0.000167862,0.0002563438,0.000009426833,0.00008415401,0.00007463957,0.0001387152,0.0002737095,0.0002605527],"category_scores_gemma":[0.000001878477,0.00002053397,0.00004551258,0.00008854592,0.00003858652,0.00004339042,0.0003016137,0.0003140492,0.00001574677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006366094,"about_ca_system_score_gemma":0.000005972892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006454134,"about_ca_topic_score_gemma":0.008079253,"domain_scores_codex":[0.9991295,0.00001541681,0.0001648114,0.000344803,0.0001135567,0.0002319079],"domain_scores_gemma":[0.9997425,0.00001405285,0.00005058266,0.00004259834,0.00001437007,0.0001359084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008377142,0.001340015,0.1743892,0.001138362,0.0004925493,0.001359124,0.01187251,0.00001192987,0.01370397,0.01404426,0.007121002,0.7736894],"study_design_scores_gemma":[0.0003729801,0.0002555799,0.486295,0.0001278376,0.00000864473,0.00001829791,0.0003011121,0.0001182737,0.0002083617,0.09945226,0.4122212,0.0006205351],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840013,0.00008383596,1.247941e-7,0.004893166,0.0001391436,0.0001824116,0.00003731065,0.00005676633,0.01060595],"genre_scores_gemma":[0.9917039,0.0002454472,0.0000271342,0.0002952621,0.0003465175,0.00002014222,0.0001005135,6.365821e-7,0.007260431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7730688,"threshold_uncertainty_score":0.9756763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653580842983009,"score_gpt":0.2012034998725152,"score_spread":0.1846676914426851,"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."}}