{"id":"W4405674688","doi":"10.24908/pceea.2024.18575","title":"Student and alumni perspectives on paths into and out of biomedical engineering","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Engineering ethics; Engineering; Computer science; Engineering management; Mathematics education; Sociology; Psychology","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":[0.0002869967,0.0001637999,0.0001724347,0.0004218425,0.00004563113,0.00007896427,0.0001360156,0.0001596848,0.000009706626],"category_scores_gemma":[0.0003330992,0.0001518377,0.00004763893,0.0003850939,0.00003280796,0.0001327195,0.00002199354,0.0002623038,0.000002733584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008802194,"about_ca_system_score_gemma":0.0001512034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004755623,"about_ca_topic_score_gemma":0.0001405054,"domain_scores_codex":[0.9990593,0.00000249102,0.000248556,0.0001864778,0.0002855019,0.0002176791],"domain_scores_gemma":[0.999459,0.00007253334,0.00004773256,0.00007108333,0.0001238188,0.0002258314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001774518,0.0008290516,0.039696,0.03769227,0.003078989,0.000002999877,0.2206409,0.01304667,0.2589444,0.2140051,0.1245271,0.0875188],"study_design_scores_gemma":[0.0009228342,0.0003145157,0.5114219,0.005899205,0.0004631548,0.00003221691,0.01102904,0.2385092,0.01437757,0.001003138,0.2139185,0.002108665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885439,0.00293642,0.0001226719,0.003045911,0.003858336,0.0002896149,0.00002612445,0.0002720737,0.0009049872],"genre_scores_gemma":[0.9986097,0.000178725,0.0006817549,0.00002199596,0.0002348831,0.00003429637,0.000004668737,0.00003871571,0.0001952221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4717259,"threshold_uncertainty_score":0.6191763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003313571379746281,"score_gpt":0.2057392782065262,"score_spread":0.2024257068267799,"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."}}