{"id":"W983733166","doi":"","title":"关闭、减产——跨国轮胎公司如何面对？","year":2006,"lang":"zh","type":"article","venue":"中国橡胶","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003728577,0.0004106001,0.0003546662,0.002120444,0.007713867,0.01509715,0.0009785132,0.003019666,0.01309741],"category_scores_gemma":[0.006036894,0.0003617909,0.000338624,0.002580313,0.03589726,0.009328881,0.002937418,0.00340997,0.001180251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01709773,"about_ca_system_score_gemma":0.01193008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04032009,"about_ca_topic_score_gemma":0.03808826,"domain_scores_codex":[0.9969073,0.001510243,0.0000832115,0.000461618,0.00063952,0.0003982355],"domain_scores_gemma":[0.9969118,0.001562621,0.0003042403,0.0002317968,0.0006392745,0.0003502512],"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":[0.000004599206,0.000006557076,0.0001975057,0.000011793,0.000003456605,0.00001509953,0.006092764,0.0000796958,0.00003184239,0.9880729,0.002723932,0.002759841],"study_design_scores_gemma":[0.00001343242,0.00001078448,0.001336978,0.00008202904,0.000009947353,0.00003771733,0.01712107,0.0002288925,0.000241904,0.8512364,0.1296641,0.00001661423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03752235,0.002932961,0.007259684,0.06829732,0.0004013597,0.00005261943,0.0001163073,0.00005371039,0.8833638],"genre_scores_gemma":[0.9266101,0.001045268,0.002746461,0.003238095,0.0002382621,0.00008329462,0.00004251361,0.00005387139,0.06594205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04032009,"threshold_uncertainty_score":0.1240533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753476179989154,"score_gpt":0.2680632310840104,"score_spread":0.2505284692841189,"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."}}