{"id":"W1899431436","doi":"10.1002/psp.1963","title":"Destination Choices of Permanent and Temporary Migrants in China, 1985–2005","year":2015,"lang":"en","type":"article","venue":"Population Space and Place","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Microdata (statistics); China; Demographic economics; Population; Wage; Geography; Census; Development economics; Economics; Labour economics; Demography; Sociology","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":[0.0005218952,0.000265719,0.0001938029,0.0009770418,0.0006429155,0.0005634873,0.0003928321,0.0002903474,0.001563352],"category_scores_gemma":[0.0009178835,0.0001406152,0.0003076897,0.00127685,0.0003739102,0.0003596338,0.0006373865,0.0002950308,0.0001983196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241413,"about_ca_system_score_gemma":0.000660751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06941133,"about_ca_topic_score_gemma":0.1411087,"domain_scores_codex":[0.9998118,0.00002995813,0.00001900894,0.0000441065,0.00002853672,0.00006669531],"domain_scores_gemma":[0.9992629,0.00005108399,0.0003395569,0.00003706005,0.0001270263,0.0001824099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001001157,0.00004357496,0.9921566,0.00002826308,0.00003632143,0.0001208288,0.001896387,0.0003711654,0.0002019351,0.0001473693,0.000551599,0.004345687],"study_design_scores_gemma":[0.000002480195,0.00003849258,0.9976603,0.000006634637,0.000006964042,0.00001780919,0.001399964,0.0003436684,0.00003114514,0.00002136874,0.0004659542,0.000005255492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993982,0.00002936227,0.00001993776,0.00002324467,0.000001832765,0.000003110194,0.0003231263,0.000001315214,0.0001998143],"genre_scores_gemma":[0.9984208,0.00002894126,0.00004723835,0.00001340496,0.000001577306,0.000005809499,0.0006918658,6.273265e-7,0.0007897129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06941133,"threshold_uncertainty_score":0.1380146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249713849016223,"score_gpt":0.3058302305998573,"score_spread":0.280858845698235,"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."}}