{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004662173,0.0002855454,0.0005736254,0.0005347484,0.000205189,0.0002588378,0.001499958,0.0003862417,0.0002323443],"category_scores_gemma":[0.000511245,0.000279856,0.0001018696,0.0001885322,0.0001926625,0.001373502,0.0007779952,0.0006015224,0.0002470746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002937,"about_ca_system_score_gemma":0.005077609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007511727,"about_ca_topic_score_gemma":0.0005670557,"domain_scores_codex":[0.9960099,0.0001910708,0.0009220095,0.0009040632,0.001443197,0.0005296894],"domain_scores_gemma":[0.9957111,0.001645339,0.0004731993,0.0006126741,0.001293301,0.0002643704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007608467,0.0001513194,0.03052373,0.0003999704,0.0005746112,0.00001404444,0.0008259405,0.00005205538,0.0001245261,0.3598428,0.5929697,0.0144452],"study_design_scores_gemma":[0.001020625,0.0001695193,0.09566945,0.001037407,0.00002675582,0.00004693101,0.00005769406,0.003536161,0.000696617,0.618169,0.2782204,0.001349432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04373348,0.06684805,0.002738917,0.004668426,0.005164955,0.001811908,0.0003527701,0.0001458194,0.8745357],"genre_scores_gemma":[0.9542823,0.009153614,0.0170003,0.0003037719,0.002460407,0.0002420567,0.0004390207,0.00005719912,0.01606128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9105489,"threshold_uncertainty_score":0.9999654,"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."}}