{"id":"W417387388","doi":"","title":"ブランドとレピュテーションの関係 (特集 知的資産経営と管理会計)","year":2006,"lang":"ja","type":"article","venue":"Accounting","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002985699,0.0003743404,0.0003487884,0.0002045757,0.0002774975,0.0001230964,0.0004054345,0.0005003685,0.0004959584],"category_scores_gemma":[0.00005206908,0.0004232339,0.000135857,0.0004223771,0.000135373,0.0005250166,0.000097574,0.0006586119,0.0008733598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007579617,"about_ca_system_score_gemma":0.0000309933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009377982,"about_ca_topic_score_gemma":0.0002380304,"domain_scores_codex":[0.9981041,0.00002236395,0.0005139931,0.000390887,0.000206173,0.0007624925],"domain_scores_gemma":[0.9992112,0.0001095578,0.0000815182,0.0004990213,0.00006184916,0.00003687499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005546667,0.0003462838,0.0867445,0.001694433,0.0005823029,0.0005602175,0.001464871,0.05960879,0.02893541,0.7114015,0.08154292,0.02706335],"study_design_scores_gemma":[0.004468697,0.0002891499,0.2358451,0.001538939,0.0008329319,0.000410151,0.009564323,0.1380015,0.01542205,0.3160143,0.2704679,0.007144917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6470155,0.01043661,0.0007790253,0.0003647491,0.001147112,0.0001731985,0.00001271148,0.001194226,0.3388769],"genre_scores_gemma":[0.9956859,0.0001568297,0.001582121,0.00007146267,0.0008623002,0.00001309194,0.00002069134,0.00006654304,0.001541084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3953872,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005168096426586608,"score_gpt":0.1890470024088708,"score_spread":0.1838789059822842,"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."}}