{"id":"W2182574789","doi":"10.5539/hes.v5n6p9","title":"Response Rate and Teaching Effectiveness in Institutional Student Evaluation of Teaching: A Multiple Linear Regression Study","year":2015,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class size; Affect (linguistics); Set (abstract data type); Psychology; Mathematics education; Class (philosophy); Regression analysis; Teaching method; Quality (philosophy); Statistical analysis; Course evaluation; Higher education; Statistics; Computer science; Mathematics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06726553,0.0001361418,0.0002564609,0.0002813149,0.0006659022,0.00004709292,0.0001474651,0.00005578512,0.00001082203],"category_scores_gemma":[0.01599642,0.0001179421,0.00002534103,0.0001533496,0.0002029114,0.0006470862,0.0001087941,0.0002867562,0.000007031576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007388651,"about_ca_system_score_gemma":0.001170242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927156,"about_ca_topic_score_gemma":0.0005832451,"domain_scores_codex":[0.974232,0.02356559,0.0003962907,0.0003392266,0.001309349,0.0001575818],"domain_scores_gemma":[0.9949962,0.003405957,0.0003290232,0.0001849682,0.001002461,0.00008134259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009230521,0.002608251,0.7879635,0.00003065894,0.0001219291,9.239761e-7,0.1897288,0.001027642,0.0002924279,0.01175166,0.0004858114,0.005065311],"study_design_scores_gemma":[0.001626464,0.0001507482,0.8455643,0.0001845114,0.00008970754,3.954215e-7,0.1419516,0.00008630709,0.00001795271,0.0006886098,0.009520655,0.0001187267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909632,0.001623345,0.00001102031,0.003106638,0.001390987,0.001006229,0.000001067649,0.00003813741,0.001859436],"genre_scores_gemma":[0.9982428,0.00002124718,0.0006708818,0.00005820816,0.0001579259,0.0002705861,0.000003304366,0.000008816428,0.000566231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05760078,"threshold_uncertainty_score":0.9922923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3836869664112741,"score_gpt":0.5901236821088822,"score_spread":0.2064367156976081,"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."}}