{"id":"W2374613385","doi":"","title":"On the Nature of Enterprise Merging in China and Problems Existing in It","year":2002,"lang":"en","type":"article","venue":"","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Merge (version control); China; Globalization; Business; Economic system; Market economy; Industrial organization; Economics; Political science; Computer science","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":[0.002449749,0.0002061518,0.0003245469,0.002790377,0.006463818,0.004055746,0.0008704686,0.001008036,0.002198473],"category_scores_gemma":[0.002721725,0.0002074352,0.0003123087,0.007813212,0.006091153,0.006692084,0.002229919,0.0007676698,0.00005490697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008966837,"about_ca_system_score_gemma":0.005905053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07225323,"about_ca_topic_score_gemma":0.09858859,"domain_scores_codex":[0.9979254,0.000516294,0.0001036513,0.0002078467,0.0005069904,0.000739792],"domain_scores_gemma":[0.9980452,0.0004587685,0.0007950392,0.0001147125,0.0002790712,0.0003072073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001967265,0.000126149,0.2420999,0.000372058,0.00005029128,0.004661143,0.1114377,0.00330143,0.001740435,0.4767036,0.007044912,0.1522657],"study_design_scores_gemma":[0.00002858423,0.0002356241,0.6639186,0.0003946981,0.00008933232,0.002436947,0.1557289,0.009896919,0.001537112,0.08142337,0.08412535,0.0001846955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350015,0.005716221,0.001482466,0.01199663,0.00004840575,0.00004580543,0.00004280764,0.00002046851,0.04564581],"genre_scores_gemma":[0.995388,0.002134839,0.0002746572,0.0002068355,0.00003688112,0.00001047334,0.00001654158,0.000002357367,0.001929449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07225323,"threshold_uncertainty_score":0.1436653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639872668589386,"score_gpt":0.2232538111804888,"score_spread":0.2068550844945949,"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."}}