{"id":"W360996362","doi":"","title":"財務諸表等規則等の改正について (特集 自己株式及び法定準備金の取崩等をめぐる会計処理)","year":2002,"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":[0.0002760266,0.0004539123,0.0004238426,0.0002474618,0.0003473423,0.000133528,0.0005592157,0.0005921737,0.004389122],"category_scores_gemma":[0.0001390586,0.0005133611,0.0001662845,0.000529676,0.0001583627,0.0007155114,0.0001364371,0.0009017762,0.003380419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008053071,"about_ca_system_score_gemma":0.00001072372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009700361,"about_ca_topic_score_gemma":0.00004639966,"domain_scores_codex":[0.9977615,0.00003277872,0.0005510729,0.0004819092,0.0002548502,0.0009178715],"domain_scores_gemma":[0.9989347,0.0001372641,0.00008922577,0.0006879156,0.00006798097,0.00008293583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006075153,0.0009224957,0.04747842,0.004084421,0.002544381,0.001457561,0.02253793,0.0287236,0.01748408,0.2752089,0.3626481,0.2368494],"study_design_scores_gemma":[0.003116097,0.0003764383,0.01364211,0.001290066,0.0005941248,0.0004198448,0.01328884,0.6543375,0.00281009,0.03072376,0.2740832,0.005317961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4317365,0.03053883,0.0004134674,0.001069324,0.002083007,0.0002801926,0.00002436733,0.001955245,0.531899],"genre_scores_gemma":[0.9938419,0.001581686,0.0008427327,0.0002002122,0.0005712363,0.00001576865,0.000007990967,0.00008430646,0.002854092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6256139,"threshold_uncertainty_score":0.9997318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236540670633482,"score_gpt":0.1943054671753692,"score_spread":0.1819400604690344,"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."}}