{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007468344,0.0007021311,0.0006249326,0.000387405,0.0005424359,0.0002619231,0.0009971933,0.001226061,0.002356899],"category_scores_gemma":[0.000447685,0.000781116,0.0002586496,0.0006601695,0.0003816361,0.0009707282,0.0002582315,0.002983344,0.00189073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005012895,"about_ca_system_score_gemma":0.0000892747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002788987,"about_ca_topic_score_gemma":0.0006724751,"domain_scores_codex":[0.9967314,0.00003739424,0.000804094,0.0007498263,0.0003813444,0.001295956],"domain_scores_gemma":[0.9979898,0.0003112819,0.000157733,0.00122897,0.000148928,0.0001633127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009684828,0.0005135841,0.06364465,0.001873971,0.001291125,0.001128279,0.008787975,0.002093712,0.2352398,0.5157878,0.03647549,0.1330668],"study_design_scores_gemma":[0.006367386,0.0006475216,0.11515,0.001354338,0.001431866,0.001996376,0.01597463,0.07814767,0.03783904,0.1802706,0.549098,0.01172264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7507187,0.00437974,0.0001855255,0.0006768352,0.00520398,0.000329841,0.00003781617,0.001693091,0.2367745],"genre_scores_gemma":[0.9937239,0.0003719752,0.002959395,0.0002035982,0.001449725,0.00003461411,0.00002836301,0.0001458135,0.001082593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5126225,"threshold_uncertainty_score":0.999464,"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."}}