{"id":"W7132102467","doi":"","title":"吉利全球化:中国企业出海启示录","year":2025,"lang":"","type":"article","venue":"CEIBS Institutional Repository","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001760834,0.0003881108,0.000356623,0.000362435,0.001087161,0.00007148025,0.0005161025,0.0006766368,0.0001276177],"category_scores_gemma":[0.0001067996,0.000439885,0.0002111757,0.0005310359,0.001153172,0.0003608505,0.0001371089,0.0008418131,0.0001828829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555268,"about_ca_system_score_gemma":0.000935485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005389183,"about_ca_topic_score_gemma":0.00001289767,"domain_scores_codex":[0.9980596,0.00005249726,0.0006393725,0.0005141913,0.0002603721,0.0004739586],"domain_scores_gemma":[0.9989598,0.0001061954,0.00004996846,0.0006573022,0.0001283216,0.00009840261],"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":[0.00004414528,0.0001012436,0.001119994,0.000351969,0.000349372,0.0003366792,0.00009535508,0.01739733,0.003694356,0.9677549,0.00526974,0.003484927],"study_design_scores_gemma":[0.002728794,0.0002781958,0.0563577,0.002619069,0.0006631804,0.001030273,0.00135769,0.03215601,0.03665544,0.2623764,0.6013266,0.002450683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06083293,0.02997375,0.008099094,0.0003573233,0.009140666,0.0002405218,0.00002009868,0.0006124921,0.8907231],"genre_scores_gemma":[0.9840722,0.0006225577,0.0006952792,0.0001385855,0.0003194376,0.00004781841,0.00001719481,0.00001512657,0.0140718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9232393,"threshold_uncertainty_score":0.9998053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00601936839126198,"score_gpt":0.2112424394399227,"score_spread":0.2052230710486607,"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."}}