{"id":"W300556919","doi":"","title":"従業員持株会を活用するスキーム(いわゆる日本版ESOP)に関する会計処理の検討 (日本版ESOPの導入状況と会計上の検討課題)","year":2010,"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":[0.00178505,0.0003196708,0.0001720286,0.001281982,0.001224383,0.004232076,0.0003291357,0.0006718411,0.01045878],"category_scores_gemma":[0.004858574,0.0001625878,0.0002467426,0.001236987,0.003587279,0.004082762,0.0009056947,0.0009713915,0.001443541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568181,"about_ca_system_score_gemma":0.001726073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003124011,"about_ca_topic_score_gemma":0.002816428,"domain_scores_codex":[0.998526,0.0003063741,0.0001399013,0.0001821246,0.0006742454,0.0001714136],"domain_scores_gemma":[0.9971246,0.0008954441,0.0004430567,0.0002650198,0.001086536,0.0001853595],"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":[0.00005058288,0.0000421021,0.005723189,0.0001003196,0.00002653286,0.0001392922,0.001617566,0.0004906656,0.0006343692,0.9053014,0.005804715,0.08006921],"study_design_scores_gemma":[0.00001965072,0.0001535334,0.03930131,0.0001995381,0.00008385952,0.0006743313,0.005985676,0.002430124,0.005356195,0.7304405,0.2152884,0.00006693188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1076088,0.002540363,0.01723264,0.006188229,0.0005785216,0.00008583756,0.0004668357,0.00009316656,0.8652055],"genre_scores_gemma":[0.9209242,0.001471244,0.007695317,0.0005548975,0.0004246928,0.00005984601,0.0001441851,0.00002628395,0.0686994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01045878,"threshold_uncertainty_score":0.03498805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005733593370416899,"score_gpt":0.2030625002868399,"score_spread":0.197328906916423,"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."}}