{"id":"W616399947","doi":"","title":"相談室 法人税務 平成18年度税制改正大綱等・会社法による改正","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":[0.000313786,0.0003869444,0.0003588972,0.0002117836,0.0002824897,0.0001250685,0.0004292429,0.0005230103,0.0005225961],"category_scores_gemma":[0.00005615094,0.000433601,0.0001362986,0.0004388581,0.0001359121,0.0005403025,0.0001027158,0.0006954523,0.0008400037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007720209,"about_ca_system_score_gemma":0.00003257546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008331385,"about_ca_topic_score_gemma":0.0002713442,"domain_scores_codex":[0.9980426,0.00002266549,0.000530037,0.0004097287,0.000212959,0.0007819827],"domain_scores_gemma":[0.9991829,0.0001121238,0.00008574087,0.0005246036,0.00005692585,0.00003769957],"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":[0.00005924346,0.0003744226,0.1104433,0.001855618,0.0006413704,0.0006325264,0.001924814,0.03109409,0.05179927,0.6930373,0.07983194,0.02830608],"study_design_scores_gemma":[0.004918471,0.0003960358,0.2279812,0.001872591,0.0009302128,0.0004594925,0.0136204,0.1244735,0.02764396,0.2953818,0.2942929,0.008029407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6329083,0.009100315,0.0004917743,0.0003935484,0.001078648,0.0001729713,0.00001815673,0.001138289,0.354698],"genre_scores_gemma":[0.9958901,0.0001636743,0.001190405,0.00007448062,0.000879993,0.00001400826,0.00002630799,0.00006787943,0.001693127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3976555,"threshold_uncertainty_score":0.999938,"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."}}