{"id":"W2887923219","doi":"10.24908/pceea.v0i0.7353","title":"ACOMPARISON OF ACCESS AND DIRECT ENTRY STUDENT SUCCESS IN ELECTRICAL ENGINEERING TECHNOLOGY","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Red River College","funders":"","keywords":"Workload; Upgrade; Entry Level; Mathematics education; Cohort; Computer science; Engineering management; Medical education; Engineering; Psychology; Mathematics; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002752293,0.0001769016,0.0002662289,0.0006333759,0.00009680575,0.0001519223,0.0006336811,0.0001810729,0.000007902718],"category_scores_gemma":[0.0006393337,0.0001869427,0.00004352094,0.0004951846,0.00001801963,0.0002953652,0.00006565484,0.0002921726,0.000001176391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130557,"about_ca_system_score_gemma":0.0002261266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258045,"about_ca_topic_score_gemma":0.001512184,"domain_scores_codex":[0.9989095,0.000002442453,0.0003588867,0.0001721876,0.0002367384,0.000320203],"domain_scores_gemma":[0.9992369,0.00003185513,0.0002159964,0.0001648161,0.0002120924,0.0001382933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[9.828404e-7,0.00006403134,0.976972,0.0003649264,0.00008518265,1.256563e-7,0.0005888562,0.01122046,0.002978584,0.003575834,0.002909293,0.001239664],"study_design_scores_gemma":[0.0001916306,0.000006916496,0.9744998,0.0002458321,0.00002132718,0.000002177082,0.0000696647,0.01209552,0.008804914,0.00003257499,0.003796701,0.0002329625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993748,0.0003200495,0.00001724422,0.0009842245,0.001347757,0.0002905313,0.000006060711,0.0001079266,0.003178214],"genre_scores_gemma":[0.9990411,0.00008313354,0.0004961168,0.00001387055,0.00006212622,0.0000772796,0.000002152696,0.00003227558,0.0001919054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005826329,"threshold_uncertainty_score":0.7623302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005454861084085176,"score_gpt":0.236636719520799,"score_spread":0.2311818584367138,"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."}}