{"id":"W3217440393","doi":"10.1155/2021/2383473","title":"Performance Prediction of the Ferrous Metal Smelting and Rolling Processing Industry in Supply-Side Structural Reform in China","year":2021,"lang":"en","type":"article","venue":"Journal of Mathematics","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Humanities and Social Science Fund of Ministry of Education of China","keywords":"Smelting; Order (exchange); Supply side; China; Nonferrous metal; Business; Economics; Engineering; Metallurgy; Finance; Commerce; Materials 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003660869,0.00008017512,0.000313005,0.0001811226,0.00008173866,0.00007342549,0.0003216948,0.0001208959,0.00001186074],"category_scores_gemma":[0.001270906,0.00004603269,0.00005585499,0.0007272647,0.00005332804,0.0004429984,0.00009099612,0.0006062233,5.635735e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049854,"about_ca_system_score_gemma":0.0001441587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005512399,"about_ca_topic_score_gemma":0.00003372076,"domain_scores_codex":[0.9976971,0.0001188318,0.001277599,0.000102734,0.0006889686,0.0001147544],"domain_scores_gemma":[0.9981388,0.0002390507,0.001128128,0.0002210434,0.000238803,0.00003421089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003779365,0.0002234011,0.9052773,0.0005220594,0.00003822213,0.00002603191,0.03546528,0.01276259,0.01648202,0.002734522,0.00001219075,0.02641863],"study_design_scores_gemma":[0.0007481205,0.00004971918,0.7549254,0.001482543,0.00003565849,0.001627967,0.03181413,0.1556944,0.009807214,0.0436942,0.00001355636,0.0001070576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985293,0.0001629671,0.0002617285,0.0002643349,0.00008569856,0.00009477705,0.000003368403,0.000002261085,0.0005956097],"genre_scores_gemma":[0.9956259,0.000006339296,0.004249771,0.000007589008,0.00003809328,0.000001772297,1.51111e-7,0.000006208475,0.00006422985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1503519,"threshold_uncertainty_score":0.2633772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05937481019351308,"score_gpt":0.334302296594028,"score_spread":0.2749274864005149,"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."}}