{"id":"W2502918580","doi":"10.3386/w22417","title":"Bride Price and Female Education","year":2016,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Bride; Art; Art history","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006739758,0.000103033,0.000229427,0.0006888245,0.0003056997,0.00009273391,0.0003557487,0.0002725909,0.0008754914],"category_scores_gemma":[0.00113496,0.00009070856,0.0000756041,0.0001720763,0.0006535537,0.0001859079,0.00009276919,0.0002659011,0.00006289],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201777,"about_ca_system_score_gemma":0.01473954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086244,"about_ca_topic_score_gemma":0.004951321,"domain_scores_codex":[0.9972774,0.0002553913,0.0003384989,0.0003813297,0.001448362,0.0002990471],"domain_scores_gemma":[0.9970963,0.0008356287,0.0002139051,0.0001469856,0.001568972,0.0001382006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001187566,0.00006738737,0.008291172,0.00009179975,0.00009348887,3.881865e-7,0.0009836283,5.03125e-7,0.000008539681,0.7202605,0.1540326,0.1161581],"study_design_scores_gemma":[0.00009291118,0.00002666998,0.01013344,0.000107172,0.000006071257,0.000002382566,0.0006822696,0.000001036995,0.000008935387,0.426511,0.5623035,0.0001245516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003982498,0.00210107,0.000001520852,0.00234736,0.0006452946,0.000242385,0.00005176705,0.00001183593,0.9906163],"genre_scores_gemma":[0.8644309,0.01489739,0.00009980085,0.0000166961,0.001844231,0.0000731791,0.00007159275,0.0000147061,0.1185515],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8720648,"threshold_uncertainty_score":0.9957243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4796429874748647,"score_gpt":0.5785104921088172,"score_spread":0.09886750463395255,"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."}}