{"id":"W3171875417","doi":"10.5509/2021942265","title":"Keep On Moving","year":2021,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; China; Business; Labor mobility; Space (punctuation); Mobilities; Service (business); Inequality; Tertiary sector of the economy; Rural area; Blue collar; Economic growth; Demographic economics; Marketing; Labour economics; Political science; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068048,0.0004342704,0.0003310728,0.001058303,0.006609222,0.005063164,0.0008297611,0.001401765,0.0455545],"category_scores_gemma":[0.001856281,0.0001684374,0.000424503,0.001303526,0.003478973,0.004754451,0.005190944,0.002735461,0.01022242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003089047,"about_ca_system_score_gemma":0.006400757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03518263,"about_ca_topic_score_gemma":0.04231161,"domain_scores_codex":[0.9990647,0.0001056589,0.00002694835,0.000157174,0.0001916574,0.000453897],"domain_scores_gemma":[0.9988585,0.00004315113,0.00007107379,0.00008656707,0.0002618475,0.000678947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001126136,0.00009806439,0.04049547,0.0003136002,0.00004868026,0.001197498,0.06202949,0.0002074303,0.002255363,0.1736907,0.3806345,0.3389165],"study_design_scores_gemma":[0.000004743544,0.00004232627,0.01522984,0.0001147676,0.00000817027,0.0001171321,0.01541067,0.00005284748,0.0001493572,0.003710088,0.9651418,0.00001836509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2489341,0.008485954,0.003853519,0.2123749,0.009137197,0.0001780055,0.001603259,0.0007985655,0.5146345],"genre_scores_gemma":[0.5429131,0.007214439,0.002141491,0.03243648,0.001337015,0.0001143866,0.001125996,0.0002585661,0.4124586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0455545,"threshold_uncertainty_score":0.152395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258821367642657,"score_gpt":0.2571790448001608,"score_spread":0.2445908311237343,"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."}}