{"id":"W2365746392","doi":"","title":"Is There an Export Wage Premium in China","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Wage; China; Propensity score matching; Control (management); Economics; Labour economics; Business","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":[0.0008452865,0.0001484231,0.0002400329,0.0009864494,0.0003333779,0.0006583485,0.0003153401,0.000287258,0.002610936],"category_scores_gemma":[0.001485349,0.000139052,0.0003233628,0.001286869,0.0005300359,0.0004599388,0.0003791544,0.0003267795,0.0001430004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006460666,"about_ca_system_score_gemma":0.0007768669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04355565,"about_ca_topic_score_gemma":0.04585704,"domain_scores_codex":[0.9997087,0.00003043883,0.0000259444,0.00008875325,0.00006094613,0.00008519305],"domain_scores_gemma":[0.9983064,0.0002392947,0.0008837854,0.0001048281,0.000171101,0.0002946386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005058027,0.00002844682,0.9939585,0.00001851045,0.00003859226,0.0001480437,0.0002742364,0.00014454,0.0003344116,0.0003216349,0.000351342,0.004331247],"study_design_scores_gemma":[0.000003288166,0.000008624304,0.9993808,0.000002838341,0.000009909005,0.00001682835,0.0001454395,0.0002099555,0.00003590582,0.00006268826,0.0001220815,0.000001580076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988999,0.000111196,0.00003737021,0.0002108883,0.000005510178,0.000001538866,0.0001053103,0.000002481586,0.0006257322],"genre_scores_gemma":[0.999536,0.00005117921,0.00001344863,0.00002231864,0.00000902998,6.536806e-7,0.0001170834,8.408647e-7,0.0002494817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04355565,"threshold_uncertainty_score":0.08660424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441963959574298,"score_gpt":0.3300639393927336,"score_spread":0.1858675434353038,"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."}}