{"id":"W408771306","doi":"","title":"相談室 法人税務 平成18年度税法等の改正に伴う自己株式の取得・処分・消却","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":[0.0003667948,0.0004531286,0.0004206036,0.0002425192,0.0003338287,0.0001518356,0.0004997118,0.0006034336,0.000596437],"category_scores_gemma":[0.00006828558,0.000507967,0.0001635116,0.0005046817,0.0001643438,0.0006416482,0.0001278624,0.0007935351,0.0009058947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009198147,"about_ca_system_score_gemma":0.00004063909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010648,"about_ca_topic_score_gemma":0.0003646266,"domain_scores_codex":[0.9977244,0.000028114,0.0006139035,0.000480031,0.0002512129,0.0009023102],"domain_scores_gemma":[0.9990327,0.0001318353,0.0001033128,0.0006107413,0.00007518402,0.00004617128],"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":[0.00007666548,0.0004620573,0.1340103,0.002339108,0.0008213006,0.0007717219,0.002037948,0.03441035,0.03815336,0.6450546,0.1064784,0.03538419],"study_design_scores_gemma":[0.005171665,0.0004364103,0.2518501,0.002030691,0.00103244,0.0004992285,0.01214332,0.117625,0.01863265,0.2645611,0.3175975,0.008419892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6244514,0.01085199,0.0005566494,0.0004376401,0.001297876,0.0002156467,0.0000231526,0.001413667,0.360752],"genre_scores_gemma":[0.9952392,0.0001960674,0.001419077,0.00008792804,0.001011945,0.00001741195,0.00003152155,0.00008114181,0.001915725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3804935,"threshold_uncertainty_score":0.999872,"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."}}