{"id":"W2969488235","doi":"10.4054/demres.2019.41.19","title":"Economic rationales for kin marriage: Assessing the evidence using Egyptian panel data","year":2019,"lang":"en","type":"article","venue":"Demographic Research","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Panel data; Middle East; Next of kin; Demographic economics; Economics; Sociology; Development economics; Genealogy; Geography; Political science; History; Econometrics; Law","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":[0.02846272,0.0004826721,0.0009614465,0.002491686,0.0007560545,0.002111093,0.001945706,0.001807472,0.009593773],"category_scores_gemma":[0.05861466,0.0003823006,0.001993403,0.003177186,0.0017638,0.001547864,0.001309211,0.001939463,0.000445871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107771,"about_ca_system_score_gemma":0.001281061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253394,"about_ca_topic_score_gemma":0.0163386,"domain_scores_codex":[0.9887134,0.008514356,0.000683291,0.0008167736,0.0008632099,0.0004089622],"domain_scores_gemma":[0.8200475,0.1496549,0.02178205,0.004403283,0.002927596,0.001184606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001951059,0.0001775464,0.8996456,0.002135763,0.009042667,0.000679045,0.0004984947,0.003737146,0.0001134752,0.0383333,0.003161027,0.04052488],"study_design_scores_gemma":[0.0007908426,0.0005808576,0.8785499,0.003582617,0.01306885,0.0005081061,0.006483378,0.02960031,0.0007791143,0.04434179,0.02159611,0.00011811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8515295,0.09387768,0.008502513,0.02240751,0.0003872582,0.0003437186,0.007323567,0.00002443824,0.01560383],"genre_scores_gemma":[0.9854683,0.009532752,0.001130505,0.001082736,0.0002245249,0.00005864806,0.001676867,0.000005682909,0.0008199639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02846272,"threshold_uncertainty_score":0.1505271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5543508330649054,"score_gpt":0.5486261848864795,"score_spread":0.005724648178425884,"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."}}