{"id":"W2132615286","doi":"10.1080/00207540500046715","title":"Production research in China","year":2005,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"China; Production (economics); Manufacturing engineering; Engineering; Business; Computer science; Economics; Political science; Microeconomics","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":[0.004447668,0.000885896,0.0005885776,0.003906259,0.003278849,0.00361375,0.001251654,0.003269374,0.07880316],"category_scores_gemma":[0.004387245,0.0003806988,0.0007664424,0.004460397,0.001385014,0.002182639,0.001839676,0.001585678,0.02104708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005046599,"about_ca_system_score_gemma":0.01623314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02722481,"about_ca_topic_score_gemma":0.02822571,"domain_scores_codex":[0.997804,0.0002271185,0.0003392195,0.0003525644,0.000904154,0.0003729322],"domain_scores_gemma":[0.9950724,0.0007639308,0.000367276,0.0004984294,0.002442498,0.0008553564],"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":[0.000121824,0.00007228911,0.003546718,0.001497902,0.00001954789,0.0007898748,0.0009767489,0.0001346169,0.00311962,0.02869984,0.8342388,0.1267821],"study_design_scores_gemma":[0.00001730138,0.00004885766,0.008403091,0.000162135,0.000008516974,0.0001106849,0.0001211395,0.00003605229,0.0005116729,0.0005362339,0.9900328,0.00001163112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01740807,0.06757577,0.001809727,0.1185717,0.07709943,0.0007774155,0.0070812,0.001267409,0.7084092],"genre_scores_gemma":[0.07291789,0.03021198,0.002083829,0.05488651,0.02100614,0.0007020627,0.005524922,0.0002512504,0.8124155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07880316,"threshold_uncertainty_score":0.2636228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205261583898071,"score_gpt":0.480940321898673,"score_spread":0.3604141635088659,"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."}}