{"id":"W3199027794","doi":"","title":"The Study on Monitoring and Evaluation System of Teaching Quality of China Higher Education Institutions in the Era of Big Data","year":2016,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Christian ministry; Construct (python library); Big data; Quality (philosophy); Monitoring and evaluation; Higher education; Data collection; Political science; Computer science; Business; Engineering management; Data science; Data mining; Engineering; Sociology; Social 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":[0.007337343,0.0003390701,0.0004692598,0.0049134,0.0009394685,0.00355,0.0007304828,0.0006130683,0.001165508],"category_scores_gemma":[0.0170151,0.0001906824,0.0007861531,0.006342857,0.0007221493,0.003079827,0.001125478,0.0005641115,0.000162825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006004589,"about_ca_system_score_gemma":0.004058119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0323866,"about_ca_topic_score_gemma":0.01629311,"domain_scores_codex":[0.9939317,0.001648009,0.0006965097,0.000784688,0.002252815,0.0006865014],"domain_scores_gemma":[0.9900542,0.002055011,0.001731304,0.0005230113,0.004741917,0.0008944952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001446266,0.0001910402,0.887109,0.0001734822,0.0001715422,0.0001117921,0.003071026,0.004747318,0.001236466,0.005282317,0.002704726,0.09505663],"study_design_scores_gemma":[0.00001853779,0.0002059564,0.9412933,0.00007889032,0.0001352771,0.0001074312,0.004266007,0.04667912,0.001988043,0.001467602,0.003709985,0.00004972381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786123,0.0006864622,0.008567576,0.001228231,0.00005136309,0.0001175311,0.0005684999,0.0001213015,0.0100467],"genre_scores_gemma":[0.9973539,0.0001546529,0.001477135,0.00003609893,0.00001670087,0.00003002154,0.0002034332,0.000005078518,0.0007230344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0323866,"threshold_uncertainty_score":0.0643962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5055560520441864,"score_gpt":0.5342532820220081,"score_spread":0.02869722997782165,"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."}}