{"id":"W610526463","doi":"","title":"投資家から見た四半期財務情報のあり方 (特別企画 四半期会計・レビュー基準案の検討ポイント)","year":2007,"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":[0.00138863,0.0004943832,0.0004604589,0.000366904,0.0003732425,0.0001158076,0.0006149287,0.0007579976,0.0006770211],"category_scores_gemma":[0.0002024395,0.000561979,0.0001709347,0.0006676479,0.0001963624,0.0006680858,0.0001721861,0.001109798,0.001107074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375008,"about_ca_system_score_gemma":0.00004593797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000241385,"about_ca_topic_score_gemma":0.0003371832,"domain_scores_codex":[0.9970654,0.00002314903,0.0007716828,0.0005207876,0.0003230929,0.001295919],"domain_scores_gemma":[0.9986635,0.0002922097,0.0001222073,0.0007023511,0.0001042986,0.0001153675],"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":[0.0002614509,0.0005593811,0.1204673,0.003460656,0.002032509,0.00227523,0.01614424,0.005276422,0.06821243,0.5000955,0.03443674,0.2467781],"study_design_scores_gemma":[0.006594499,0.0008201441,0.4029252,0.002791848,0.001155102,0.0008643069,0.06284797,0.04119084,0.04560674,0.09926112,0.3251934,0.01074883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6838987,0.006300798,0.002910526,0.0003162586,0.001959046,0.00024026,0.00001473519,0.001313023,0.3030466],"genre_scores_gemma":[0.9953322,0.0003402428,0.002285264,0.0001985143,0.0008288744,0.000006551696,0.00001680704,0.00009252511,0.0008989838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4008344,"threshold_uncertainty_score":0.9996831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007848224110019663,"score_gpt":0.2175801501821086,"score_spread":0.2097319260720889,"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."}}