{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004833484,0.0001334357,0.0002219808,0.0004052059,0.0004709176,0.001215252,0.0003205353,0.0005958541,0.02094739],"category_scores_gemma":[0.003493818,0.0001155208,0.0003057358,0.0005808981,0.0008928112,0.0006571033,0.000824069,0.0007762035,0.000575064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796362,"about_ca_system_score_gemma":0.0004361221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510531,"about_ca_topic_score_gemma":0.01468542,"domain_scores_codex":[0.9997053,0.0001161741,0.000009564171,0.00003261391,0.00004361033,0.00009282505],"domain_scores_gemma":[0.9975865,0.001136691,0.0007800893,0.0001006735,0.0000711268,0.0003249215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001508413,0.000401913,0.9212907,0.00006459231,0.00009030145,0.0007024196,0.002155251,0.00215742,0.0003451692,0.04135681,0.00134995,0.02993457],"study_design_scores_gemma":[0.00004308484,0.0001905159,0.9644352,0.00012303,0.00005854377,0.0004707384,0.005596278,0.003664512,0.0003848418,0.01465221,0.0103593,0.00002179539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785518,0.0007500233,0.0003031899,0.001621662,0.00001066239,0.000009999338,0.0001592769,0.000004379884,0.01858911],"genre_scores_gemma":[0.9961668,0.0002798375,0.00004311018,0.00004517047,0.000006155207,0.000003496118,0.00003427426,0.000001275732,0.00341981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02094739,"threshold_uncertainty_score":0.07007605,"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."}}