{"id":"W391748025","doi":"","title":"監査・保証実務委員会報告第82号 「財務報告に係る内部統制の監査に関する実務上の取扱い」の改正案について (特集 内部統制「簡素化」の実務対応)","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":"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":[0.0008019875,0.0008166865,0.0007540028,0.000405223,0.0005116963,0.0001369431,0.001151523,0.001046673,0.003547203],"category_scores_gemma":[0.000236829,0.0008926403,0.0003025052,0.0007621308,0.0003376234,0.00118499,0.0003267243,0.001464798,0.002498343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354997,"about_ca_system_score_gemma":0.00008088242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009832752,"about_ca_topic_score_gemma":0.0002944788,"domain_scores_codex":[0.9961541,0.00007485154,0.0009843181,0.0008579917,0.0003832589,0.001545496],"domain_scores_gemma":[0.9981136,0.0001722363,0.0002016612,0.001181811,0.0001616563,0.0001690749],"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":[0.0004319323,0.001359585,0.2295379,0.004234312,0.003765842,0.0020244,0.04588128,0.001631712,0.02065727,0.5088276,0.04730931,0.1343389],"study_design_scores_gemma":[0.009437716,0.001892462,0.3518471,0.004383188,0.002711193,0.001107728,0.05776032,0.06247434,0.04135827,0.2632693,0.1863238,0.01743466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5408039,0.009833172,0.0007648258,0.0001802106,0.002554115,0.000438442,0.00003893209,0.002085282,0.4433011],"genre_scores_gemma":[0.9935566,0.000696358,0.003417091,0.0002105479,0.000669866,0.00004514093,0.00002293581,0.000162175,0.001219343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4527526,"threshold_uncertainty_score":0.9993525,"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."}}