{"id":"W417732752","doi":"","title":"相談室 会計実務 3月期年次決算の留意点","year":2009,"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"],"consensus_categories":[],"category_scores_codex":[0.0002714037,0.0002970455,0.0002960011,0.0001602519,0.0002201149,0.0000903707,0.0003822009,0.0004148458,0.0003599784],"category_scores_gemma":[0.00008970539,0.0003312267,0.0001032187,0.0003436649,0.00006251214,0.0005005106,0.00004108368,0.0006459237,0.0006088055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005404698,"about_ca_system_score_gemma":0.00002573134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005488409,"about_ca_topic_score_gemma":0.00002402363,"domain_scores_codex":[0.9985082,0.00001691327,0.0003737966,0.0003158187,0.0001551302,0.0006301577],"domain_scores_gemma":[0.9993349,0.00006323074,0.00005763812,0.0004493057,0.00004604564,0.00004885095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007635597,0.0003340896,0.01467292,0.0008253817,0.0005548547,0.0005582593,0.006695885,0.01035346,0.03539674,0.5478244,0.04221888,0.3404888],"study_design_scores_gemma":[0.004365156,0.001240966,0.2810138,0.002172967,0.000726055,0.0004569164,0.01724493,0.1242558,0.01387511,0.3854671,0.1618391,0.007342095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6585873,0.01058209,0.0004343354,0.00133451,0.0009492817,0.0001742057,0.000008451826,0.001291348,0.3266385],"genre_scores_gemma":[0.9973056,0.0003546832,0.001053721,0.0003331664,0.0004119119,0.000003167941,0.000008164052,0.0000275418,0.0005020344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3387184,"threshold_uncertainty_score":0.999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007089627660449651,"score_gpt":0.2082448251037707,"score_spread":0.2011551974433211,"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."}}