{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00174566,0.0002765463,0.0002074596,0.001313915,0.002890106,0.006202179,0.0004133502,0.001250583,0.01435808],"category_scores_gemma":[0.004133279,0.0002433635,0.0002139952,0.00126614,0.006445387,0.004379857,0.0008452523,0.001603128,0.002845905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002914117,"about_ca_system_score_gemma":0.002871786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008343239,"about_ca_topic_score_gemma":0.008323914,"domain_scores_codex":[0.9987,0.0002261308,0.0001086318,0.0002234671,0.0006029425,0.0001389183],"domain_scores_gemma":[0.9981559,0.0005795821,0.0002439178,0.0002225792,0.0006682159,0.0001297313],"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":[0.00001260235,0.00001307937,0.0008912261,0.00003106559,0.000006834613,0.00006344698,0.00104391,0.0001494786,0.0002738042,0.9685533,0.006592857,0.02236842],"study_design_scores_gemma":[0.00001302075,0.00005246046,0.006422685,0.0001293537,0.00004007526,0.000403309,0.002464821,0.0008964106,0.003116111,0.7004258,0.285985,0.00005098334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04172335,0.004402984,0.01618882,0.01090196,0.001157515,0.00009914324,0.0002626327,0.0001247594,0.9251388],"genre_scores_gemma":[0.8011944,0.003174682,0.0128013,0.001651421,0.000945839,0.00006242612,0.0001366073,0.00005019865,0.1799831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01435808,"threshold_uncertainty_score":0.04803252,"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."}}