{"id":"W2174241038","doi":"10.1016/j.chieco.2015.11.001","title":"The use and impact of job search procedures by migrant workers in China","year":2015,"lang":"en","type":"article","venue":"China Economic Review","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Unobservable; Human capital; Earnings; Economics; Labour economics; Affect (linguistics); Developing country; Demographic economics; Business; Economic growth; Econometrics; Psychology","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":[0.002032449,0.00009500112,0.0002799903,0.00002810114,0.0001483513,0.0000868348,0.0002196095,0.00004081473,0.00006613919],"category_scores_gemma":[0.0003180955,0.00006371358,0.00008764571,0.00008719895,0.0002092908,0.0003578023,0.0000304868,0.00009515708,0.00002243122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792194,"about_ca_system_score_gemma":0.0005158736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04215007,"about_ca_topic_score_gemma":0.03939519,"domain_scores_codex":[0.9989901,0.0002229762,0.0003428623,0.000164528,0.0000599369,0.0002196142],"domain_scores_gemma":[0.9994435,0.0001007605,0.0001274145,0.0001742168,0.00002002121,0.0001340901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001719625,0.00002375012,0.8011159,0.0003234987,0.00003398564,3.177636e-7,0.01853037,0.00006604217,0.000001861805,0.0004489348,0.1692005,0.0102377],"study_design_scores_gemma":[0.0004601465,0.0000844947,0.8316578,0.001011469,0.00002656259,0.000003157191,0.001505072,0.0002247119,0.000004832053,0.0009473269,0.1638015,0.0002728596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968762,0.09928802,0.000001740626,0.001484422,0.0000552255,0.0004729988,0.000008356287,0.000007205143,0.001805812],"genre_scores_gemma":[0.7935355,0.2055748,0.00001815094,0.00006285481,0.00005480697,0.00002090229,0.000003809237,0.000006986354,0.0007221405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062868,"threshold_uncertainty_score":0.9781333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06213983784286476,"score_gpt":0.3496508219443628,"score_spread":0.287510984101498,"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."}}