{"id":"W2390567443","doi":"10.15388/infedu.2016.05","title":"Data Mining of Undergraduate Course Evaluations","year":2016,"lang":"en","type":"article","venue":"Informatics in Education","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Course (navigation); Computer science; Set (abstract data type); Regression analysis; Quality (philosophy); Mathematics education; Course evaluation; Linear regression; Higher education; Data science; Psychology; Machine learning; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004467773,0.00004612992,0.00007140359,0.0001269728,0.0001289285,0.0000345201,0.0004375289,0.00004376466,0.00009235935],"category_scores_gemma":[0.005444123,0.00003830052,0.00001132172,0.000229597,0.0001182309,0.001978916,0.00005565637,0.00005365682,0.00006758846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374196,"about_ca_system_score_gemma":0.001877405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003956101,"about_ca_topic_score_gemma":0.001674793,"domain_scores_codex":[0.9986688,0.0002376654,0.0004296928,0.00006306448,0.000485653,0.0001150618],"domain_scores_gemma":[0.9980989,0.0008088381,0.00043315,0.0004066159,0.0002137266,0.00003877881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006660076,0.0003716359,0.04059347,0.00003865447,0.0000214741,3.692664e-8,0.0875614,0.00009644851,0.00005342076,0.1627687,0.01985273,0.6886354],"study_design_scores_gemma":[0.001557707,0.00009595077,0.09871863,0.001245718,0.0002078056,0.000003010641,0.2697256,0.008764165,0.0001974024,0.1016683,0.5171617,0.0006540778],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7347646,0.0001950213,0.007370502,0.1006174,0.002517185,0.0007324609,0.00005369794,0.00008832171,0.1536608],"genre_scores_gemma":[0.9776014,0.0001458525,0.0211096,0.0001199634,0.00008026914,0.00001290285,0.00003047649,0.000003962135,0.0008955666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6879813,"threshold_uncertainty_score":0.6517517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2471596697972253,"score_gpt":0.5448979039769878,"score_spread":0.2977382341797624,"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."}}