{"id":"W421137902","doi":"","title":"PAAinE討議資料の収益認識アプローチの意義と課題 (特集 収益認識を巡る主要論点)","year":2008,"lang":"zh","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":[0.0003188731,0.0004504794,0.0004547807,0.0002360178,0.0005843839,0.00004999212,0.0005139259,0.0005471005,0.0005868394],"category_scores_gemma":[0.0001649063,0.0004998155,0.0001781335,0.0005105186,0.0002782782,0.0006366998,0.0001356736,0.000901525,0.001029215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008356141,"about_ca_system_score_gemma":0.00007892065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002296543,"about_ca_topic_score_gemma":0.00005201609,"domain_scores_codex":[0.9977902,0.0000341539,0.0005521188,0.0004609796,0.00027861,0.0008839139],"domain_scores_gemma":[0.9989473,0.000145584,0.00009283387,0.000638688,0.00008921566,0.00008641111],"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":[0.00006966673,0.0002806627,0.1679663,0.001191958,0.001014777,0.002159983,0.007836297,0.008573659,0.004783378,0.7384484,0.03638365,0.03129123],"study_design_scores_gemma":[0.006783884,0.0007585496,0.3677527,0.001788226,0.0008095499,0.004409097,0.01590692,0.09406018,0.002702074,0.3748433,0.1203312,0.009854304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4688798,0.01017731,0.0008119046,0.0004453163,0.001195518,0.0001967326,0.00001701346,0.001264453,0.5170119],"genre_scores_gemma":[0.9948269,0.001680349,0.001277479,0.0001696429,0.0006550154,0.00001712793,0.00001535577,0.00008064826,0.001277529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.525947,"threshold_uncertainty_score":0.9997486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179837479233104,"score_gpt":0.1979853267353117,"score_spread":0.1861869519429806,"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."}}