{"id":"W3163384090","doi":"10.3968/9566","title":"Application of An Improved Deviation Analysis of Double Mean Data in Student’S Teaching Evaluation Data","year":2021,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Standard deviation; Process (computing); Evaluation methods; Experimental data; Mathematics education; Data mining; Statistics; Mathematics; Reliability engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003257786,0.00006331671,0.000172097,0.0004028963,0.0001317463,0.00003629472,0.002562705,0.00005130112,0.0000216009],"category_scores_gemma":[0.00008068736,0.00006899039,0.0000201022,0.003143011,0.0001738931,0.001649371,0.0005974912,0.00008681004,5.120645e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374728,"about_ca_system_score_gemma":0.001845256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003584786,"about_ca_topic_score_gemma":0.0001028566,"domain_scores_codex":[0.9980988,0.0001245884,0.0004123541,0.0005501125,0.0007027095,0.0001114653],"domain_scores_gemma":[0.9972611,0.00005548987,0.000488354,0.001501104,0.0006635638,0.00003040293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004326023,0.001820858,0.04367288,0.00002326426,0.0000663106,3.404807e-8,0.0037812,0.000107662,0.05351796,0.8368765,0.00004417484,0.06008482],"study_design_scores_gemma":[0.0001872327,0.00001540575,0.9434502,0.000009468798,0.0001167918,1.647178e-7,0.001091709,0.04667602,0.005508308,0.002589683,0.0002774628,0.00007753382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958232,0.0001553442,0.03455169,0.00199102,0.0006101548,0.0004519829,0.00003551906,0.00002948169,0.00394283],"genre_scores_gemma":[0.9778057,0.000003390647,0.02157731,0.00003273544,0.00003496328,0.00002311922,0.000468995,0.000002116772,0.00005172319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8997774,"threshold_uncertainty_score":0.4762187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07930003379203303,"score_gpt":0.4625954480301,"score_spread":0.383295414238067,"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."}}