{"id":"W7144533247","doi":"","title":"サンディランズ報告書における活動の分類 : 固定資産の評価に関する経営者の意図の反映","year":2009,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Cambridge; Canadian Institute for Advanced Research","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.004543115,0.0003030257,0.0003488278,0.003386244,0.001866635,0.006616762,0.001238006,0.0009939139,0.01112733],"category_scores_gemma":[0.0149453,0.0005572864,0.0003457253,0.005054067,0.002037151,0.01141973,0.001486648,0.00102416,0.004104776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539945,"about_ca_system_score_gemma":0.003168326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009804483,"about_ca_topic_score_gemma":0.01025643,"domain_scores_codex":[0.9959609,0.0008828319,0.0004901743,0.0007923988,0.00157141,0.0003022865],"domain_scores_gemma":[0.9880887,0.004550487,0.001132664,0.00193277,0.003676444,0.0006190112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001141497,0.0003945539,0.0800635,0.0005597986,0.0001312345,0.001064627,0.008343859,0.002494265,0.007471206,0.230981,0.104814,0.5625406],"study_design_scores_gemma":[0.0002183774,0.0003406776,0.07044074,0.0005422349,0.0007341519,0.004197796,0.01815417,0.0317113,0.04381458,0.2217181,0.6076918,0.0004361444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3696649,0.006582165,0.2632517,0.01724892,0.001183856,0.0006442499,0.01983451,0.005521119,0.3160686],"genre_scores_gemma":[0.8139313,0.002065393,0.1389396,0.0009407463,0.0004456563,0.0001982089,0.01091874,0.0004448219,0.03211554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112733,"threshold_uncertainty_score":0.03722459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121037266949403,"score_gpt":0.2336327351279492,"score_spread":0.2215290084330089,"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."}}