{"id":"W7132371822","doi":"","title":"英菲尼迪：寒冬中的感性营销战","year":2016,"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":"","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001789949,0.0004012788,0.0003213865,0.0002028822,0.0007476867,0.00003900181,0.0004801216,0.0006090936,0.0003757761],"category_scores_gemma":[0.0001231607,0.0003155873,0.000208138,0.0002122116,0.001456904,0.0006197506,0.0001064498,0.000403018,0.0007907395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004824674,"about_ca_system_score_gemma":0.000493104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002282263,"about_ca_topic_score_gemma":0.000008290097,"domain_scores_codex":[0.9978884,0.00005343028,0.0006026864,0.0005350447,0.0003618375,0.0005586067],"domain_scores_gemma":[0.9988194,0.0001492564,0.00006891202,0.0006620392,0.0001183887,0.0001820374],"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":[0.00006525875,0.0001023258,0.001948171,0.0001451557,0.0002795795,0.0007100584,0.0001122631,0.001489189,0.04931441,0.9288861,0.003664468,0.013283],"study_design_scores_gemma":[0.005423634,0.0008461278,0.09488936,0.003634408,0.0004892498,0.005760319,0.0006349504,0.003183792,0.1287849,0.2144274,0.5373659,0.004559955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1912349,0.01484226,0.01486228,0.0008290264,0.008712457,0.0002720002,0.00006513086,0.0009288613,0.7682531],"genre_scores_gemma":[0.9902255,0.0008916804,0.0005885886,0.00004726516,0.0007625186,0.00003821664,0.000005325585,0.00002825019,0.007412642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7989906,"threshold_uncertainty_score":0.9999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008498317821271457,"score_gpt":0.1965907493326702,"score_spread":0.1880924315113988,"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."}}