{"id":"W4210327817","doi":"10.3138/jcfs.52.4.02","title":"Hui Muslims’ Endogamy and Intermarriages: Marriage Markets, Islamic Culture, and Economic Growth","year":2022,"lang":"en","type":"article","venue":"Journal of Comparative Family Studies","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endogamy; Marriage market; China; Census; Islam; Demographic economics; Survey data collection; Geography; Socioeconomic status; Development economics; Economics; Demography; Population; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006502117,0.0001103421,0.0001268941,0.0003774583,0.0005096039,0.0004995412,0.0001871409,0.0001679379,0.002075893],"category_scores_gemma":[0.001412274,0.00007627088,0.0001481169,0.0004631423,0.0005761105,0.0005646645,0.0005008581,0.0003836179,0.0001011971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920711,"about_ca_system_score_gemma":0.0004265877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01391328,"about_ca_topic_score_gemma":0.02516251,"domain_scores_codex":[0.999845,0.00005457859,0.000006257486,0.00001542558,0.00001930871,0.00005939786],"domain_scores_gemma":[0.9991162,0.00026065,0.0003246801,0.00004384322,0.00005271805,0.0002018068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004607752,0.00006381041,0.9905005,0.000004145194,0.00001668297,0.00009272662,0.001961375,0.0001897307,0.0001264207,0.00102523,0.00007187635,0.005901417],"study_design_scores_gemma":[0.000002201366,0.00003961841,0.9929559,0.000005179284,0.000006544095,0.00004481684,0.00491368,0.001291102,0.00006645334,0.0003994769,0.0002717834,0.000003327989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996471,0.000027485,0.00002080359,0.0000396899,5.716315e-7,7.624992e-7,0.00000847834,1.710348e-7,0.0002548047],"genre_scores_gemma":[0.9998353,0.000029072,0.00001126501,0.000005265493,0.00000113466,5.386555e-7,0.00001059001,1.179648e-7,0.0001066902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01391328,"threshold_uncertainty_score":0.0276646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08490654092352021,"score_gpt":0.3547037080129162,"score_spread":0.2697971670893961,"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."}}