{"id":"W186583165","doi":"","title":"インタビュー 藤沼亜起・IFRS財団トラスティー副議長にきく 「東京合意」後のIFRSと日本--国際ルール設定に向けた今後のビジョンは?","year":2011,"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":"Accounting; Business","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":[0.0007014584,0.0007482185,0.0006949033,0.0004124841,0.000460343,0.0001197763,0.001057965,0.0009593498,0.003028756],"category_scores_gemma":[0.0001950609,0.0008299545,0.0002716201,0.0007013305,0.0003165079,0.00111575,0.0002867044,0.001350814,0.00234742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141864,"about_ca_system_score_gemma":0.00007898966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007582929,"about_ca_topic_score_gemma":0.0002107336,"domain_scores_codex":[0.9964889,0.00006643182,0.000909518,0.0007824243,0.000353347,0.001399351],"domain_scores_gemma":[0.9982339,0.0001502594,0.0001882079,0.001134677,0.0001410241,0.0001519094],"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":[0.0004332271,0.001297122,0.1883611,0.004675879,0.003858485,0.002254997,0.05275673,0.001581226,0.0261054,0.5588308,0.04697254,0.1128725],"study_design_scores_gemma":[0.008874,0.001732668,0.3995694,0.004082521,0.002753908,0.001182434,0.06370881,0.05403475,0.05474025,0.2570438,0.1355959,0.01668162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5508515,0.00815957,0.0006732607,0.000154141,0.002024245,0.0003685189,0.00003745582,0.001778827,0.4359525],"genre_scores_gemma":[0.9935648,0.0007026789,0.003646513,0.0001916695,0.0005728237,0.00003810583,0.00002353738,0.0001495791,0.001110249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4427134,"threshold_uncertainty_score":0.9994151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797444090490192,"score_gpt":0.1988683711488357,"score_spread":0.1808939302439338,"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."}}