{"id":"W427052284","doi":"","title":"日本の主要企業の原価企画(1)主要企業における原価に対する認識と原価企画への取組み","year":2007,"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":[0.001315946,0.0004471855,0.000407062,0.0003501294,0.0003223295,0.0001007186,0.0005663416,0.000706965,0.000611386],"category_scores_gemma":[0.0001654382,0.0005023943,0.0001627599,0.0006279325,0.0001818704,0.0006041429,0.0001423614,0.001030066,0.001092577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189103,"about_ca_system_score_gemma":0.00003686148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001507021,"about_ca_topic_score_gemma":0.0002287096,"domain_scores_codex":[0.9973289,0.00001895218,0.0007032116,0.0004638795,0.0002893212,0.001195764],"domain_scores_gemma":[0.998795,0.0002594172,0.0001046013,0.0006451672,0.00008906031,0.000106781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000275454,0.0004349634,0.1341807,0.00235549,0.001816786,0.001943383,0.01071923,0.005572479,0.04189793,0.5239659,0.02500857,0.2518291],"study_design_scores_gemma":[0.006580359,0.0007514798,0.3912419,0.002254602,0.001145431,0.000921831,0.04450531,0.04561536,0.03406172,0.1116515,0.3511707,0.01009977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.598822,0.00853844,0.003319525,0.0002434272,0.001869382,0.000211711,0.00001047537,0.001254808,0.3857302],"genre_scores_gemma":[0.9957061,0.0002971354,0.002111443,0.0001825262,0.0007491601,0.000005171406,0.00001267932,0.00008240371,0.0008533655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4123144,"threshold_uncertainty_score":0.9997427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007848224110019663,"score_gpt":0.2175801501821086,"score_spread":0.2097319260720889,"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."}}