{"id":"W579980510","doi":"","title":"円卓討論 企業情報の開示と監査 (特集・企業情報の開示と監査)","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":[0.000428921,0.0005164088,0.0004774095,0.0002814588,0.0003994577,0.0001781378,0.0005692552,0.0006785321,0.0007808838],"category_scores_gemma":[0.00008119929,0.0005879537,0.0001958837,0.0005460238,0.0001934198,0.0006890387,0.0001515914,0.0009141568,0.001119397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152735,"about_ca_system_score_gemma":0.00004801619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153469,"about_ca_topic_score_gemma":0.0003864806,"domain_scores_codex":[0.9974169,0.00003640822,0.0006856831,0.0005478136,0.0002889366,0.001024283],"domain_scores_gemma":[0.9989009,0.0001526965,0.0001217107,0.0006774039,0.00009176118,0.00005553084],"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":[0.00009606512,0.0005453338,0.1187511,0.002563457,0.0009567034,0.0008250538,0.002913121,0.03848908,0.03601896,0.6486337,0.09951693,0.05069052],"study_design_scores_gemma":[0.005053182,0.0004312442,0.242706,0.001850424,0.00101995,0.0005224396,0.01381417,0.1254458,0.01461524,0.2441381,0.3419389,0.008464555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6404288,0.01075597,0.0005359018,0.0004791203,0.001377704,0.0002333063,0.00002704979,0.001400363,0.3447618],"genre_scores_gemma":[0.9951035,0.0002312596,0.001244637,0.0001037597,0.0010755,0.00001998701,0.00004027741,0.0000968751,0.002084254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4044955,"threshold_uncertainty_score":0.9996583,"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."}}