{"id":"W2803433223","doi":"10.5430/ijhe.v7n3p90","title":"Use of Data Quality Index in Student Feedback for Quality Assurance of Engineering Programmes at the Military Technological College, Muscat, Oman","year":2018,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accreditation; Quality assurance; Context (archaeology); Quality (philosophy); Engineering; Higher education; Engineering education; Engineering management; Medical education; Operations management; Medicine; Political science; Geography","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":[0.001761804,0.00007555404,0.0001794392,0.0001082058,0.00006771823,0.00001866435,0.0009121362,0.00006179788,0.0001157656],"category_scores_gemma":[0.0005977472,0.0000557391,0.00007255991,0.0001361414,0.0003264312,0.0003743009,0.0001330186,0.00009519106,0.000001176894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799316,"about_ca_system_score_gemma":0.0002746608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100012,"about_ca_topic_score_gemma":0.001080126,"domain_scores_codex":[0.9981287,0.0001465138,0.000689355,0.0001394041,0.0007840486,0.0001120205],"domain_scores_gemma":[0.9980544,0.0007217175,0.0005020709,0.000214678,0.0004707205,0.00003642614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001318579,0.001436206,0.9558033,0.00002165084,0.0001623589,3.037904e-7,0.003230432,0.00008425039,0.0003492361,0.02991767,0.003492402,0.005370317],"study_design_scores_gemma":[0.0002368638,0.00003614604,0.9201013,0.00004887864,0.00001108594,8.772815e-7,0.002456673,0.000009196948,0.00007407022,0.0005962743,0.07637268,0.00005593229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857427,0.0003844124,0.000110595,0.01193166,0.001327777,0.0002702105,0.00007069427,0.000004139856,0.0001577722],"genre_scores_gemma":[0.9961086,0.000101204,0.002167343,0.0001139852,0.0003646392,0.00001674972,0.00001961599,0.000004907806,0.001102979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07288028,"threshold_uncertainty_score":0.2272974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031105492995018,"score_gpt":0.4619757857076362,"score_spread":0.3588652364081344,"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."}}