{"id":"W2128268181","doi":"10.24908/pceea.v0i0.5857","title":"Using Career Education to Help Students Build and Articulate Employability Skills","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Employability; Internship; Graduation (instrument); Medical education; Psychology; Career development; Vocational education; Work (physics); Value (mathematics); Pedagogy; Engineering; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004682476,0.0001802184,0.0001753335,0.0003008067,0.00007867369,0.0001246915,0.0002569442,0.0001650394,0.000005995734],"category_scores_gemma":[0.0008038519,0.0001814727,0.00004599473,0.000641323,0.00001572016,0.0002203474,0.00003776012,0.0001926266,0.00000792623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835217,"about_ca_system_score_gemma":0.0004585723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004650294,"about_ca_topic_score_gemma":0.001166044,"domain_scores_codex":[0.9987471,0.000005592406,0.0002952535,0.0001975046,0.0004279845,0.0003265411],"domain_scores_gemma":[0.9985955,0.00002231242,0.00008630451,0.0001271653,0.0005440681,0.0006246709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005016487,0.0003834056,0.8398785,0.001460028,0.000256409,1.054702e-7,0.008381895,0.03312313,0.012549,0.001624376,0.09459177,0.007746388],"study_design_scores_gemma":[0.0003210624,0.00003399079,0.9425841,0.0005038019,0.0001251645,0.00001140075,0.0006245482,0.01046969,0.004422285,0.0005320073,0.0396722,0.0006997472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941693,0.0001618531,0.0000876725,0.001785762,0.002983709,0.0003619375,0.0000118682,0.0001271756,0.0003107152],"genre_scores_gemma":[0.9962987,0.000006341165,0.002727722,0.0002471971,0.0002891477,0.00006139384,0.000007156073,0.00004256222,0.0003198288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027056,"threshold_uncertainty_score":0.7413994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176921319915943,"score_gpt":0.2375251104390072,"score_spread":0.2257558972398477,"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."}}