{"id":"W354194753","doi":"","title":"知的資産情報と金融機関の信用評価プロセス/評価規準--実態調査を基礎として(その1)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003306771,0.0004957031,0.0005041208,0.000272719,0.0006226616,0.00005925441,0.0006032183,0.0006560127,0.0008175771],"category_scores_gemma":[0.0001612429,0.0005567629,0.0001931431,0.0005610369,0.0003218394,0.0007519,0.0001555569,0.001044447,0.001458888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009111132,"about_ca_system_score_gemma":0.00007489944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002340512,"about_ca_topic_score_gemma":0.00006112648,"domain_scores_codex":[0.9975405,0.00003284918,0.0006168871,0.0005245549,0.0003164477,0.0009687883],"domain_scores_gemma":[0.9988317,0.0001602622,0.0001042011,0.0007131955,0.0000953764,0.00009530031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000276931,0.001080114,0.3195919,0.004484854,0.003522925,0.006971465,0.04321673,0.02355719,0.03979148,0.2412779,0.2285459,0.08768266],"study_design_scores_gemma":[0.008689211,0.001094008,0.3465673,0.002697793,0.001108398,0.005195282,0.02783983,0.1254143,0.01937799,0.05933441,0.3894016,0.01327995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7941322,0.01091242,0.0003702451,0.0003724164,0.001716956,0.0002156211,0.00001990221,0.001381158,0.190879],"genre_scores_gemma":[0.9943461,0.001846523,0.001285657,0.0001609072,0.0007811635,0.00001894453,0.00001840702,0.00008931233,0.001453022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2002138,"threshold_uncertainty_score":0.9996884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199881417433005,"score_gpt":0.2004509351946949,"score_spread":0.1884521210203648,"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."}}