{"id":"W2317595913","doi":"10.2307/4127344","title":"Managing Transition: Unemployment and Job Hunting in Urban China","year":2002,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; China; Transition (genetics); Job hunting; Business; Geography; Labour economics; Economic growth; Economics; Archaeology; Biology","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":[0.0005380136,0.0001784274,0.0001905036,0.001004575,0.007628701,0.00206787,0.0006448086,0.0007463095,0.002126563],"category_scores_gemma":[0.0006519576,0.0001580765,0.0002048496,0.0009698318,0.001572515,0.00111265,0.003392109,0.0008904287,0.000111189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003912834,"about_ca_system_score_gemma":0.006349632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1058964,"about_ca_topic_score_gemma":0.1998015,"domain_scores_codex":[0.9994575,0.00008281747,0.00002236651,0.00002678545,0.00004792034,0.0003625144],"domain_scores_gemma":[0.9994003,0.00002331334,0.00009726052,0.00000865187,0.00003625052,0.000434309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001588022,0.0006542127,0.7797964,0.00016689,0.00003973689,0.00302497,0.1300556,0.0003731805,0.0007726328,0.007880986,0.007418934,0.06965761],"study_design_scores_gemma":[0.00002248368,0.0002148619,0.7538481,0.0002176394,0.0000235631,0.0005089763,0.2215735,0.001652614,0.0001595986,0.002078187,0.01966317,0.00003728389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921702,0.0005734696,0.00007191914,0.002533688,0.00002764837,0.00002774986,0.00002708539,0.000007925457,0.004560421],"genre_scores_gemma":[0.9979948,0.0003544558,0.00004092013,0.0002438507,0.00001307425,0.00001223215,0.000025623,0.000001633315,0.001313397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1058964,"threshold_uncertainty_score":0.21056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134132931162063,"score_gpt":0.2272302290487155,"score_spread":0.2158888997370949,"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."}}