{"id":"W396482308","doi":"","title":"「四半期財務諸表の作成基準に関する論点の整理」の解説 (時事解説 企業会計基準委員会・新会計基準)","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":[0.0004923951,0.0005667682,0.0005327973,0.0003305461,0.0004248143,0.0001876629,0.0006242965,0.0007275991,0.0008706133],"category_scores_gemma":[0.00009002466,0.0006389905,0.0002082416,0.0006833056,0.0002181238,0.0007435999,0.0001632311,0.0009499813,0.001349506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354679,"about_ca_system_score_gemma":0.0000557493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107463,"about_ca_topic_score_gemma":0.0002957723,"domain_scores_codex":[0.9971314,0.0000394095,0.0007786277,0.0005929345,0.0003312792,0.001126329],"domain_scores_gemma":[0.998794,0.0001643389,0.0001358725,0.0007389201,0.0001040751,0.00006276089],"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":[0.00008928037,0.0005144023,0.09246811,0.002179345,0.0009048329,0.000864161,0.002107093,0.03009505,0.0297198,0.696837,0.1053695,0.03885136],"study_design_scores_gemma":[0.005547582,0.0004887063,0.206312,0.001878809,0.001031273,0.0004925739,0.01178339,0.1154915,0.01343055,0.2613553,0.3735271,0.008661226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.599184,0.01209472,0.0006487517,0.0005506757,0.001614547,0.0002739898,0.0000299596,0.001552954,0.3840503],"genre_scores_gemma":[0.9941093,0.0002567046,0.001512716,0.0001078344,0.001097432,0.00002375673,0.00004516527,0.000102454,0.002744656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4354817,"threshold_uncertainty_score":0.9996061,"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."}}