{"id":"W2887645536","doi":"10.24908/pceea.v0i0.9732","title":"HOW FIRST YEAR ENGINEERING STUDENTS SELECT THEIR SPECIALIZATION AND HOW WE CAN BETTER SUPPORT THEM","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; University of Waterloo","keywords":"Curriculum; Feeling; Perspective (graphical); Class (philosophy); Selection (genetic algorithm); Computer science; Engineering education; Mathematics education; Psychology; Engineering management; Engineering; Pedagogy; Artificial intelligence; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002776601,0.0002745897,0.0002245637,0.0003344014,0.0001584331,0.0003977211,0.0003649219,0.0002062285,0.00005888406],"category_scores_gemma":[0.0004006989,0.0002775796,0.00007080364,0.0005799845,0.00002382841,0.0003496158,0.00003214963,0.0002596714,0.000009043257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334413,"about_ca_system_score_gemma":0.0002235179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002749572,"about_ca_topic_score_gemma":0.002853925,"domain_scores_codex":[0.9987932,0.000004740546,0.0002001518,0.0002291727,0.0003385281,0.0004342287],"domain_scores_gemma":[0.998989,0.00004693539,0.0001350536,0.0001468745,0.0004196849,0.000262494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008198797,0.0001623337,0.495806,0.002507149,0.0009966084,5.024871e-7,0.02286421,0.004609635,0.01366589,0.01626295,0.4383049,0.004811631],"study_design_scores_gemma":[0.0005078089,0.00005111722,0.1818834,0.0003617005,0.000108123,0.00001861437,0.001021987,0.01241627,0.01417978,0.0001334605,0.7883198,0.0009980043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231067,0.0002755176,0.0007536141,0.05951946,0.009878017,0.00126736,0.0001517715,0.0009806826,0.004066933],"genre_scores_gemma":[0.9946588,0.00007801224,0.0009051306,0.0001282269,0.0009718156,0.00005530641,0.00001917512,0.00009413966,0.003089351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3500149,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009113929908932065,"score_gpt":0.1996995344796925,"score_spread":0.1905856045707604,"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."}}