{"id":"W244159683","doi":"","title":"収益の測定と物品の販売について (IAS第18号「収益」に照らした我が国の収益認識の検討)","year":2009,"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":[0.0004212857,0.000501159,0.0004880168,0.0002684059,0.0003433958,0.0001536713,0.0006315216,0.0006514033,0.0005612377],"category_scores_gemma":[0.0001398444,0.0005619641,0.0001818109,0.0005506329,0.0001145989,0.0007737944,0.00007582964,0.0009962621,0.0008845634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009370023,"about_ca_system_score_gemma":0.00004339368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008107714,"about_ca_topic_score_gemma":0.00003541604,"domain_scores_codex":[0.9975845,0.00003104248,0.0006101856,0.0005201048,0.0002746825,0.000979546],"domain_scores_gemma":[0.9989098,0.0001072027,0.0001032794,0.0007085511,0.00008036319,0.00009077782],"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":[0.0001260102,0.0005547249,0.01297443,0.001020954,0.000897895,0.0008435224,0.007925939,0.01289553,0.03151766,0.500658,0.05037226,0.380213],"study_design_scores_gemma":[0.005494342,0.001580434,0.2629531,0.002583645,0.001089964,0.0006366226,0.01732156,0.1055154,0.01432926,0.445368,0.1339244,0.00920329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.665408,0.01441799,0.0006291405,0.002789309,0.001466716,0.0003265222,0.00002193307,0.001989913,0.3129505],"genre_scores_gemma":[0.9959628,0.0006115509,0.001428635,0.0005022889,0.0006116019,0.000007074958,0.00001849,0.00005193656,0.0008056137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3710097,"threshold_uncertainty_score":0.9998934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007535403579641321,"score_gpt":0.2088096701971301,"score_spread":0.2012742666174887,"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."}}