{"id":"W4308912381","doi":"10.24908/pceea.vi.15872","title":"Preliminary Results from a High-Resolution Analysis of Accreditation Data to Assess Indicators, Identify Predictors and Assess Equitability of Teaching Practices","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Accreditation; Reliability (semiconductor); Medical education; Computer science; Data science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01237049,0.0006320553,0.0005660683,0.004345853,0.001201149,0.00235559,0.0005654632,0.0006307488,0.00250288],"category_scores_gemma":[0.04307845,0.0002409379,0.001426839,0.006121412,0.0006068974,0.001333444,0.00156088,0.001250298,0.001114269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173463,"about_ca_system_score_gemma":0.001585455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02481735,"about_ca_topic_score_gemma":0.02801449,"domain_scores_codex":[0.987618,0.006352535,0.000726501,0.0009092416,0.003557934,0.0008357849],"domain_scores_gemma":[0.896756,0.07102605,0.0057082,0.006739727,0.01779815,0.001971819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006342905,0.00152098,0.8625287,0.0002692189,0.0003641032,0.0004302549,0.006210179,0.009178553,0.01071844,0.002441434,0.006425978,0.0992779],"study_design_scores_gemma":[0.00002378112,0.0004518534,0.964497,0.00004286219,0.00008204147,0.0001659839,0.005012883,0.01671941,0.005445623,0.0006419242,0.006852175,0.00006446624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559305,0.0001957456,0.02932619,0.0007261218,0.0000404561,0.0003374078,0.005082377,0.0004505677,0.007910729],"genre_scores_gemma":[0.9505049,0.00008435972,0.04220432,0.0000873729,0.00003642328,0.0002308204,0.004509886,0.00007049769,0.002271401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02481735,"threshold_uncertainty_score":0.06542224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296215130676641,"score_gpt":0.2840596534373852,"score_spread":0.2544381403697211,"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."}}