{"id":"W3124005662","doi":"","title":"The Use and Impact of Job Search Procedures by Migrant Workers in China","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities","keywords":"Unobservable; Human capital; Earnings; Labour economics; Economics; Developing country; Affect (linguistics); Selection bias; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447249,0.0002696195,0.00018848,0.0008241291,0.0007802578,0.0007651701,0.0004295875,0.0003880831,0.001659173],"category_scores_gemma":[0.003046761,0.0001213409,0.0004138168,0.0008592547,0.0006587885,0.0004665222,0.0008352813,0.0005323777,0.0001946741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081282,"about_ca_system_score_gemma":0.001608495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06466903,"about_ca_topic_score_gemma":0.09840677,"domain_scores_codex":[0.9991657,0.0002199337,0.00007920997,0.00009167152,0.0001386297,0.0003049412],"domain_scores_gemma":[0.9960424,0.0007876979,0.001932832,0.0002283236,0.0003482565,0.0006605962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001332859,0.0001359128,0.9831234,0.00004180509,0.00004478031,0.0002716318,0.002124439,0.0005619533,0.0004853513,0.000288601,0.0003847079,0.01240395],"study_design_scores_gemma":[0.000007694955,0.00009402489,0.9956139,0.00002017487,0.00001709207,0.00003350422,0.002829074,0.0007481523,0.0001403949,0.00007038633,0.0004173282,0.000008133743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994887,0.00006928453,0.00001808274,0.00008404955,0.000002348779,0.000003947173,0.00005056059,0.000001462361,0.0002815843],"genre_scores_gemma":[0.9991831,0.0001037046,0.00003027086,0.00003348188,0.000005130134,0.000005034017,0.00008685971,0.000001030424,0.0005513581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06466903,"threshold_uncertainty_score":0.1285852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06144333428793703,"score_gpt":0.3718521767860172,"score_spread":0.3104088424980802,"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."}}