{"id":"W412070192","doi":"","title":"マネジメント・アプローチによるセグメント会計の実務--米国の開示例をもとに","year":2008,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002356622,0.0003561248,0.0002465079,0.001276948,0.003108046,0.006597521,0.0004837524,0.001365494,0.01679574],"category_scores_gemma":[0.006042161,0.0002709618,0.0002769766,0.001021629,0.006246345,0.004225478,0.001131475,0.002168739,0.004421089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003535347,"about_ca_system_score_gemma":0.003984551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00768047,"about_ca_topic_score_gemma":0.007335125,"domain_scores_codex":[0.9981776,0.0002748319,0.0001359367,0.0002620659,0.0009427838,0.0002067501],"domain_scores_gemma":[0.9970444,0.0007539022,0.0002743555,0.0003488609,0.001313505,0.0002650329],"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":[0.00002688548,0.00002674391,0.001204186,0.0000419694,0.00001130962,0.00009722897,0.001095355,0.0002321931,0.0004034118,0.9508126,0.009286657,0.03676139],"study_design_scores_gemma":[0.00001478646,0.00007901547,0.006563185,0.0001589452,0.00004257743,0.000426711,0.003681806,0.001117978,0.004368831,0.648108,0.335378,0.00006005667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03994994,0.004415636,0.01783945,0.01554343,0.001582651,0.0001240724,0.0002578206,0.000130941,0.9201561],"genre_scores_gemma":[0.7988769,0.003208672,0.01205911,0.002752861,0.000956014,0.00007396911,0.0001734738,0.0000730994,0.181826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01679574,"threshold_uncertainty_score":0.05618727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201208805186526,"score_gpt":0.2004281490531616,"score_spread":0.1884160610012963,"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."}}