{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002584423,0.0005679517,0.0004699052,0.002827646,0.001150036,0.003980152,0.001069154,0.0008045944,0.01644728],"category_scores_gemma":[0.01146751,0.000344809,0.0005353882,0.00139406,0.0009189888,0.002081488,0.004772574,0.001510753,0.002886831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024604,"about_ca_system_score_gemma":0.001558965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006762099,"about_ca_topic_score_gemma":0.0180569,"domain_scores_codex":[0.9968302,0.0003673782,0.0001734258,0.0003279752,0.001587886,0.0007131476],"domain_scores_gemma":[0.9833183,0.003344764,0.003009898,0.0005439752,0.003144314,0.006638692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000191387,0.0009173927,0.9648818,0.00005709095,0.00005724001,0.0001995795,0.002671955,0.0000898686,0.001173972,0.0003169427,0.0006656756,0.02877714],"study_design_scores_gemma":[0.000007704513,0.0006125691,0.9944853,0.00003156851,0.0000112337,0.0001015168,0.002619048,0.0001867842,0.0005343083,0.00006640709,0.001329338,0.00001420996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924526,0.0002404488,0.0002083765,0.0001565227,0.00002423815,0.00003703151,0.0001519299,0.00002597945,0.006702894],"genre_scores_gemma":[0.9890375,0.0002493128,0.0002003107,0.00008773807,0.00003433772,0.00002831705,0.000321338,0.00002328662,0.01001807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01644728,"threshold_uncertainty_score":0.05502164,"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."}}