{"id":"W1484711272","doi":"10.3386/w18080","title":"Family Ties, Inheritance Rights, and Successful Poverty Alleviation: Evidence from Ghana","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Poverty; Inheritance (genetic algorithm); Family ties; Development economics; Demographic economics; Political science; Socioeconomics; Genealogy; Geography; Economic growth; Economics; History; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998316,0.0002233934,0.0002905246,0.0009901918,0.00117377,0.0009663804,0.0005067383,0.0004849977,0.007305118],"category_scores_gemma":[0.008502423,0.0002347794,0.0001969736,0.002959208,0.00163894,0.001220688,0.001077593,0.0006804396,0.0003615528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007149602,"about_ca_system_score_gemma":0.0009659919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05812722,"about_ca_topic_score_gemma":0.1080438,"domain_scores_codex":[0.9993766,0.0003394927,0.00004116979,0.00005691745,0.00005725673,0.0001285361],"domain_scores_gemma":[0.9880533,0.005960863,0.004334435,0.0003708722,0.000546636,0.0007337998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001805671,0.0001835625,0.9592079,0.0002529616,0.00009433383,0.0009292701,0.01935218,0.00006373281,0.00008928325,0.001301266,0.00107941,0.01726543],"study_design_scores_gemma":[0.00004005432,0.00007582318,0.9592896,0.0005378994,0.0001259838,0.0003036996,0.03534377,0.00008147403,0.00005844338,0.0004512558,0.003684694,0.000007313701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929768,0.002615314,0.00004681208,0.001107883,0.000008419085,0.00001281692,0.0002665742,6.592023e-7,0.002964704],"genre_scores_gemma":[0.9964603,0.002919987,0.00005161645,0.0001468308,0.000009561114,0.000009564761,0.0001263676,0.000001871549,0.0002740065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05812722,"threshold_uncertainty_score":0.1155778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3490552590152855,"score_gpt":0.4422289401684973,"score_spread":0.09317368115321184,"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."}}