{"id":"W373369657","doi":"","title":"相談室 法人税務 ヘッジ取引における会計と税務の処理","year":2004,"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":[0.0002708555,0.0003365286,0.0003129797,0.0001791302,0.0002566483,0.00009410585,0.0004236886,0.0004687594,0.0002881661],"category_scores_gemma":[0.00009977468,0.0003745992,0.0001187544,0.0003921835,0.0001318593,0.0005644036,0.0001014782,0.0007361431,0.001073692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210071,"about_ca_system_score_gemma":0.00005866701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003178222,"about_ca_topic_score_gemma":0.0001312509,"domain_scores_codex":[0.9983465,0.00001208459,0.0004056414,0.0003603189,0.0001862248,0.0006891952],"domain_scores_gemma":[0.9992836,0.00005661337,0.00006254068,0.0004897477,0.00005112261,0.00005634891],"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":[0.00005781948,0.0003186364,0.01668059,0.001617569,0.0009670505,0.0007122678,0.009641162,0.1103828,0.02541079,0.7958064,0.00467726,0.03372766],"study_design_scores_gemma":[0.01050715,0.0007711994,0.07774854,0.003620022,0.0009457023,0.000753288,0.03461542,0.0220085,0.03204921,0.7118667,0.09670802,0.008406252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146734,0.008247055,0.001157147,0.0009678144,0.001350859,0.0002032042,0.00001371433,0.001305156,0.1720816],"genre_scores_gemma":[0.9968445,0.000352645,0.001909197,0.0001532991,0.0004106144,0.00001168625,0.000009409679,0.00005802136,0.0002506723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.182171,"threshold_uncertainty_score":0.9998706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007334158844247733,"score_gpt":0.2030093736731786,"score_spread":0.1956752148289308,"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."}}