{"id":"W604782734","doi":"","title":"会計基準国際化の歴史的経緯と今後の課題--調和からコンバージェンスへ (特集 会計基準国際化と日本の対応)","year":2008,"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":["insufficient_payload"],"category_scores_codex":[0.0004054965,0.00063635,0.0006451904,0.0003565248,0.0007693417,0.00007896782,0.000772226,0.0007929364,0.0009563991],"category_scores_gemma":[0.0001998136,0.0007169241,0.0002512916,0.0007446755,0.000407611,0.0009233382,0.0002104786,0.001263027,0.001874587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126296,"about_ca_system_score_gemma":0.0001036014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002402922,"about_ca_topic_score_gemma":0.00006826816,"domain_scores_codex":[0.9968994,0.00004878987,0.0007837092,0.0006661224,0.0003954498,0.001206529],"domain_scores_gemma":[0.9985076,0.0001937543,0.0001386618,0.0009062305,0.0001267269,0.0001269896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003017012,0.001125098,0.4654937,0.004275699,0.003605949,0.007101817,0.03498463,0.02461708,0.03251027,0.2105545,0.1523156,0.06311393],"study_design_scores_gemma":[0.0108483,0.001225666,0.3197903,0.003072228,0.001388566,0.006912016,0.03560963,0.1385214,0.02305605,0.06018089,0.3829854,0.01640952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8009384,0.01048914,0.0005141949,0.0003851572,0.001715648,0.0002732126,0.00002485082,0.001627762,0.1840317],"genre_scores_gemma":[0.993268,0.002148837,0.001684454,0.0001783012,0.0007715519,0.00002641397,0.00002379703,0.0001249673,0.001773668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2306698,"threshold_uncertainty_score":0.9999568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201208805186526,"score_gpt":0.2004281490531616,"score_spread":0.1884160610012963,"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."}}