{"id":"W369860011","doi":"","title":"注記表に表示すべき項目とその留意点 (特集2 事業報告・計算書類の体系)","year":2006,"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":[],"category_scores_codex":[0.000355853,0.0004251445,0.0004005242,0.0002321526,0.0003159118,0.000143205,0.0004728357,0.0005647903,0.0006147203],"category_scores_gemma":[0.00006520734,0.0004797788,0.0001574343,0.0004668864,0.0001547158,0.000598762,0.0001150425,0.0007471145,0.0009834738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008749278,"about_ca_system_score_gemma":0.00003653009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040771,"about_ca_topic_score_gemma":0.000452662,"domain_scores_codex":[0.9978362,0.00002715271,0.0005864915,0.0004497332,0.0002381059,0.0008623595],"domain_scores_gemma":[0.9990903,0.0001229966,0.00009707678,0.0005727447,0.00007359859,0.00004324692],"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":[0.00006666657,0.0004146473,0.1283708,0.001969205,0.0007426984,0.0007208046,0.001847139,0.03378626,0.03411959,0.6639481,0.1012432,0.03277091],"study_design_scores_gemma":[0.004497183,0.0003604827,0.2729387,0.001600171,0.0009079635,0.000444979,0.008970122,0.111248,0.01597405,0.2873134,0.2883119,0.007433023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6431854,0.01014082,0.0005713512,0.0004131311,0.001185791,0.0001879428,0.00002074011,0.001229859,0.343065],"genre_scores_gemma":[0.9958433,0.0001407058,0.001138324,0.00007185021,0.0009291837,0.00001544821,0.00003134807,0.00007626881,0.001753553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3766347,"threshold_uncertainty_score":0.9997944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005168096426586608,"score_gpt":0.1890470024088708,"score_spread":0.1838789059822842,"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."}}