{"id":"W1966135219","doi":"10.1177/097152150501200202","title":"Marriage Migration in China","year":2005,"lang":"en","type":"article","venue":"Indian Journal of Gender Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Hierarchy; Urbanization; Internal migration; Order (exchange); Poverty; Quarter (Canadian coin); Phenomenon; Development economics; Demographic economics; Geography; Economic growth; Political science; Developing country; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007623251,0.00005336757,0.0001294359,0.0001501048,0.0001490712,0.00002954488,0.0001023981,0.00003635991,0.00007600192],"category_scores_gemma":[0.0002075539,0.00004450171,0.000047175,0.0002014361,0.00007489403,0.0002439736,0.000009283481,0.0001242998,0.000009146685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331219,"about_ca_system_score_gemma":0.0001135161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004782249,"about_ca_topic_score_gemma":0.05155182,"domain_scores_codex":[0.9991897,0.0001257392,0.000266597,0.00005159094,0.0002331086,0.0001332328],"domain_scores_gemma":[0.9995843,0.00003765835,0.0001637092,0.00004022645,0.0001180076,0.0000561369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001734006,0.00006652387,0.04410849,0.000009818811,0.00008564736,0.00006757216,0.9246141,0.0005414018,0.00003598694,0.005094713,0.008142766,0.0172157],"study_design_scores_gemma":[0.001542551,0.0001595502,0.2516905,0.0001181584,0.00004672343,0.00004821081,0.4610128,0.0002140448,0.0001133881,0.008582309,0.2760768,0.0003949365],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830377,0.002384458,0.00008396409,0.009861915,0.0003023226,0.00005453062,0.000001414728,0.000005871609,0.004267803],"genre_scores_gemma":[0.9954075,0.002738551,0.0005495661,0.0002246767,0.0004360931,9.181005e-7,2.675058e-7,0.000003267295,0.0006391942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4636012,"threshold_uncertainty_score":0.9657549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03659563971080342,"score_gpt":0.3405251265543585,"score_spread":0.303929486843555,"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."}}