{"id":"W7131914002","doi":"","title":"信息不对称、会计稳健性与集团信贷模式","year":2015,"lang":"","type":"article","venue":"CEIBS Institutional Repository","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003112321,0.0004238795,0.0003669037,0.0002199182,0.0005852974,0.00007443372,0.00051051,0.0006700894,0.00007743995],"category_scores_gemma":[0.0002460546,0.0004655649,0.0001747822,0.0003209994,0.001132756,0.0006056096,0.0001284909,0.0008232053,0.000635092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006067089,"about_ca_system_score_gemma":0.001179126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008357999,"about_ca_topic_score_gemma":0.00001164304,"domain_scores_codex":[0.9977329,0.00006980472,0.0006274555,0.0005033935,0.0005224702,0.0005440215],"domain_scores_gemma":[0.9985866,0.000087856,0.00007115365,0.0006457685,0.0002314953,0.0003771575],"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":[0.00008708848,0.000162739,0.001394109,0.0001644583,0.0002717024,0.001273433,0.0006723845,0.0574538,0.001445985,0.9203247,0.01482855,0.001921026],"study_design_scores_gemma":[0.004078079,0.0009310109,0.0116931,0.0008435665,0.0004427578,0.006662009,0.003677003,0.04318579,0.01475038,0.164053,0.7462967,0.003386648],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1235845,0.02258729,0.00362765,0.0003268097,0.009653843,0.000237003,0.00002362666,0.0007618262,0.8391974],"genre_scores_gemma":[0.9919608,0.0002303447,0.00128153,0.00009821197,0.000955613,0.00003608446,0.0000257027,0.00003021091,0.005381532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8683763,"threshold_uncertainty_score":0.9997796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040375174258996,"score_gpt":0.2189167139482475,"score_spread":0.1985129622056575,"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."}}