{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001946272,0.0003100496,0.0001762373,0.001478201,0.002544774,0.007100532,0.0004080357,0.000885896,0.01279651],"category_scores_gemma":[0.003807884,0.0002173806,0.0001874037,0.001216264,0.005678277,0.004449693,0.0007334963,0.001270339,0.002639787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316687,"about_ca_system_score_gemma":0.003409527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009345638,"about_ca_topic_score_gemma":0.00865595,"domain_scores_codex":[0.9989243,0.0001930581,0.00007913241,0.0001923649,0.0004851937,0.0001258954],"domain_scores_gemma":[0.9983343,0.0003957019,0.0002042039,0.0001891267,0.0007455428,0.0001310355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000144868,0.00001486175,0.001455796,0.00003284475,0.000007539444,0.00006470232,0.001780721,0.000165749,0.0004031818,0.9578121,0.00606183,0.03218616],"study_design_scores_gemma":[0.00001333786,0.0000532482,0.0105649,0.0001649676,0.00005237365,0.0004042845,0.005800984,0.001468055,0.005124819,0.6464552,0.3298358,0.00006199408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06404985,0.003203025,0.01779194,0.01109118,0.0008812151,0.0001045704,0.0002283514,0.0001615519,0.9024883],"genre_scores_gemma":[0.8489048,0.001920318,0.01041531,0.0009794984,0.0005489505,0.00004617453,0.0001039667,0.00005589298,0.137025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279651,"threshold_uncertainty_score":0.04280865,"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."}}