{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005071411,0.00004753792,0.0000788315,0.0000763837,0.00006436667,0.00002674615,0.00002800084,0.00005010614,0.00001230271],"category_scores_gemma":[0.0001157049,0.00004623237,0.000007293259,0.0001349523,0.00003869876,0.0002373101,0.00000875742,0.00004063259,0.000001214876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002539039,"about_ca_system_score_gemma":0.00003598318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01433826,"about_ca_topic_score_gemma":0.0882074,"domain_scores_codex":[0.9994473,0.00009844955,0.0001170031,0.00009206011,0.0001635981,0.00008162745],"domain_scores_gemma":[0.9997348,0.0000374174,0.0000808276,0.00004019228,0.00003226093,0.00007455098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001698134,0.00001804644,0.973417,0.00001151759,0.000001428167,4.584439e-7,0.01694293,0.000427504,0.00001758282,0.007641868,0.0003332203,0.001171423],"study_design_scores_gemma":[0.0004530954,0.00002073818,0.9679018,0.00003513978,0.000005514986,8.967526e-7,0.004507988,0.01443666,0.00000685679,0.0009239254,0.01160832,0.0000991206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951073,0.0003721416,0.00004097594,0.001785313,0.00004477705,0.000119112,0.000005039737,0.00001402757,0.002511328],"genre_scores_gemma":[0.9979908,0.0002052733,0.0002398142,0.0000296083,0.00002955755,0.000002028305,0.00002548948,0.000002789498,0.001474564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07386915,"threshold_uncertainty_score":0.9922253,"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."}}