{"id":"W2984682015","doi":"10.5539/hes.v9n4p189","title":"Chinese Characteristics and International Standards: Study on Evaluation System of Scientific and Technological Innovation Capacity of “Double First-Class” Universities","year":2019,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Connotation; China; Class (philosophy); Diversification (marketing strategy); First class; Index (typography); Dimension (graph theory); Capacity building; Business; Computer science; Marketing; Political science; Economics; Mathematics; Economic growth","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01168919,0.0002786798,0.0004419488,0.006233285,0.002361525,0.004217973,0.0007537481,0.0004023197,0.002051352],"category_scores_gemma":[0.03495177,0.0001966032,0.0005383868,0.01139299,0.003424909,0.003812823,0.002808867,0.0006967892,0.000197724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009303198,"about_ca_system_score_gemma":0.01060415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03505548,"about_ca_topic_score_gemma":0.01809171,"domain_scores_codex":[0.9864884,0.003683324,0.001612249,0.001082835,0.005735852,0.001397344],"domain_scores_gemma":[0.9751624,0.006281247,0.003757506,0.001916984,0.01094574,0.001936242],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001555025,0.0001296189,0.7428623,0.0002563297,0.0001406214,0.000213349,0.04644588,0.001939916,0.001315319,0.08741703,0.002820357,0.1163038],"study_design_scores_gemma":[0.00002084492,0.0001744671,0.9422843,0.0001145659,0.00006207944,0.0001064892,0.02898956,0.004340037,0.001449486,0.007310241,0.01506012,0.00008789389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328291,0.0003041699,0.002004683,0.0009196695,0.00003391705,0.00009798326,0.000151248,0.00002712891,0.06363205],"genre_scores_gemma":[0.9988965,0.00005715685,0.0002652693,0.00002205024,0.00000616428,0.00003241321,0.00006595593,0.000004933588,0.0006495037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9883108,"threshold_uncertainty_score":0.06970286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09271562686936603,"score_gpt":0.3735614553601941,"score_spread":0.2808458284908281,"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."}}