{"id":"W2004242465","doi":"10.4028/www.scientific.net/amm.281.677","title":"Enterprise Quality Credit Rating System Building","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Credit rating; Quality (philosophy); Rating system; Order (exchange); Subject (documents); Computer science; China; Risk analysis (engineering); Business; Actuarial science; Finance; Economics; Environmental economics; World Wide Web; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005871868,0.0003899041,0.0005866399,0.001929594,0.001008527,0.003590916,0.001235144,0.0008617571,0.008279096],"category_scores_gemma":[0.01120679,0.0001968505,0.0005281548,0.003466715,0.0006535368,0.003901903,0.001477307,0.00110588,0.002363475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169232,"about_ca_system_score_gemma":0.002984972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006302049,"about_ca_topic_score_gemma":0.00286134,"domain_scores_codex":[0.9937781,0.001842199,0.0006342141,0.001195723,0.002135958,0.0004138814],"domain_scores_gemma":[0.9938475,0.001003834,0.0007327343,0.000875591,0.003138048,0.0004021295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002975129,0.0003462997,0.03596208,0.0007112089,0.0001216411,0.0002637624,0.0007277186,0.0394612,0.006646171,0.2465878,0.0485005,0.620374],"study_design_scores_gemma":[0.0001601668,0.0005283012,0.04863928,0.0003162648,0.0002207031,0.0007758104,0.0009731918,0.5204278,0.02219409,0.1031955,0.3022653,0.0003037801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07999735,0.0014311,0.7920296,0.002931608,0.0004879959,0.001117486,0.001938965,0.00335039,0.1167155],"genre_scores_gemma":[0.8493629,0.001023986,0.1299326,0.0002009919,0.0002157634,0.0002733125,0.002234377,0.0001385231,0.01661759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008279096,"threshold_uncertainty_score":0.03105372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626947473563827,"score_gpt":0.2398143961672674,"score_spread":0.2235449214316291,"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."}}