{"id":"W3123367701","doi":"10.1080/13504850701765101&magic=repec&7c&7c8674ecab8bb840c6ad35dc6213a474b5","title":"Electronics Production Upgrading: Is China Exceptional?","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"China; Production (economics); Political science; Humanities; Economics; Art","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":[0.0006684758,0.0002130014,0.0003698975,0.001278901,0.0008700938,0.001954327,0.0003680729,0.0004183468,0.005879204],"category_scores_gemma":[0.001498549,0.00009078257,0.0002412321,0.003397568,0.0009916821,0.001708159,0.0009353381,0.0004445588,0.0002556247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534284,"about_ca_system_score_gemma":0.001708003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03032265,"about_ca_topic_score_gemma":0.04684561,"domain_scores_codex":[0.9996873,0.00002297077,0.00002189146,0.00007112917,0.00007616128,0.0001204891],"domain_scores_gemma":[0.998849,0.0002296554,0.0003997835,0.0001413595,0.0001963676,0.0001838813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002866956,0.00005742466,0.7306052,0.0006959535,0.0001924667,0.002123283,0.003271993,0.003277436,0.002357036,0.06281338,0.008799846,0.1855194],"study_design_scores_gemma":[0.00001368273,0.00008601229,0.9178475,0.000169438,0.00009793606,0.0003264514,0.004534687,0.001499195,0.001651631,0.01270276,0.06103504,0.00003577045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311556,0.004027397,0.0009409374,0.005597898,0.0001087498,0.00002116662,0.001129721,0.00004696745,0.05697159],"genre_scores_gemma":[0.9917052,0.002379563,0.0001889296,0.0003272693,0.00006606041,0.000006509354,0.000491807,0.000008365719,0.004826393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03032265,"threshold_uncertainty_score":0.0602923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0473055149066974,"score_gpt":0.2938367368835402,"score_spread":0.2465312219768428,"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."}}