{"id":"W403955443","doi":"","title":"評価・換算差額等について (特集 会社法・新会計基準で「資本」はこう変わった)","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":[0.0004363991,0.000516701,0.0004892308,0.0002803122,0.000386649,0.0001719506,0.0005690533,0.0006882468,0.000773158],"category_scores_gemma":[0.00008695413,0.0005837875,0.0001913383,0.0005585639,0.0001845452,0.0007172741,0.0001522259,0.0009206816,0.000988992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050117,"about_ca_system_score_gemma":0.00004823419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574356,"about_ca_topic_score_gemma":0.0004202877,"domain_scores_codex":[0.9974022,0.00003423438,0.0007000334,0.000549373,0.0002861873,0.001027981],"domain_scores_gemma":[0.9988796,0.0001618768,0.0001250421,0.0006886388,0.00008896062,0.0000558601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007525246,0.0005901643,0.1881598,0.00273943,0.001050289,0.001042626,0.00273378,0.03946081,0.03854275,0.5515583,0.1308597,0.04318707],"study_design_scores_gemma":[0.005233133,0.0004380548,0.3491203,0.002053077,0.001021612,0.0005177375,0.01275657,0.1147195,0.01430519,0.2042513,0.287063,0.008520599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.691819,0.01045409,0.0005989704,0.0004598708,0.001391657,0.0002316916,0.00002561731,0.001373287,0.2936459],"genre_scores_gemma":[0.9952301,0.0002266651,0.001233029,0.0001081365,0.001057931,0.00002079423,0.00004197856,0.00009372476,0.001987603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3473071,"threshold_uncertainty_score":0.9997889,"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."}}