{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01322263,0.001353974,0.001731165,0.00660247,0.001115015,0.002950358,0.001533837,0.001313694,0.002180853],"category_scores_gemma":[0.04182539,0.0004925395,0.002153099,0.006118496,0.001156828,0.003335808,0.00221275,0.002469078,0.0008764759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413863,"about_ca_system_score_gemma":0.002160159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003572435,"about_ca_topic_score_gemma":0.002225928,"domain_scores_codex":[0.9715331,0.007889936,0.003513964,0.004953858,0.01123918,0.0008699704],"domain_scores_gemma":[0.9627103,0.01605253,0.00241331,0.004529941,0.01375304,0.0005408744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006834487,0.0002906647,0.0447971,0.0007191362,0.000544759,0.0003442093,0.001947252,0.02602088,0.02767927,0.01846208,0.00554766,0.8729635],"study_design_scores_gemma":[0.0001873998,0.001010867,0.07155807,0.0002139867,0.0004083854,0.001308241,0.001666529,0.8105555,0.06370769,0.02447763,0.02436447,0.0005412297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03729277,0.0002185055,0.9583895,0.0001985013,0.0001577589,0.0001956608,0.0003795683,0.001453339,0.001714434],"genre_scores_gemma":[0.3559642,0.0002136911,0.6390632,0.0001020803,0.000148035,0.00075272,0.001389352,0.0003655898,0.002001107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01322263,"threshold_uncertainty_score":0.06992882,"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."}}