{"id":"W586879493","doi":"","title":"法規制からみた融資先支援条項の留意点 (特集 連結範囲のグレーゾーンを考える)","year":2008,"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":[0.001746779,0.0002565112,0.0001969796,0.001309192,0.0026458,0.00544897,0.0003573987,0.001178556,0.009631965],"category_scores_gemma":[0.00421179,0.0002087354,0.0001953522,0.001172163,0.006940508,0.003498357,0.0007643547,0.001408063,0.001882714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002473684,"about_ca_system_score_gemma":0.002395193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007912459,"about_ca_topic_score_gemma":0.007569249,"domain_scores_codex":[0.9988206,0.0002543579,0.00008893695,0.0002262131,0.0004855712,0.0001242878],"domain_scores_gemma":[0.9983065,0.0005359183,0.0002495262,0.0001933882,0.0006125167,0.0001021204],"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":[0.000009266808,0.0000103963,0.000904411,0.00002628864,0.000006710443,0.00005920927,0.001158269,0.0001314082,0.0002700215,0.9728502,0.004211953,0.02036179],"study_design_scores_gemma":[0.00001059561,0.00004670189,0.007709418,0.0001079389,0.00004401893,0.0004970719,0.002269222,0.001008793,0.002884852,0.7240019,0.2613682,0.0000512071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05738596,0.005046128,0.02434983,0.01199662,0.001204704,0.00009576901,0.0002276481,0.0001303522,0.899563],"genre_scores_gemma":[0.8428131,0.00255227,0.01250521,0.00146993,0.0008655565,0.00005408972,0.00008253693,0.00003425535,0.1396231],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009631965,"threshold_uncertainty_score":0.03222209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201208805186526,"score_gpt":0.2004281490531616,"score_spread":0.1884160610012963,"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."}}