{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008183137,0.0004388838,0.0004671357,0.001288432,0.0107788,0.01823438,0.002167225,0.003034505,0.01186535],"category_scores_gemma":[0.01622753,0.0003724393,0.0004775549,0.0008490309,0.002951987,0.003959253,0.006481384,0.004682334,0.003652907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004791216,"about_ca_system_score_gemma":0.01172744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01783007,"about_ca_topic_score_gemma":0.04217787,"domain_scores_codex":[0.9905377,0.002625819,0.0001794047,0.0005262112,0.002921354,0.003209579],"domain_scores_gemma":[0.9693229,0.001548317,0.001703904,0.0002722178,0.003281218,0.0238715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001840828,0.002477658,0.2213514,0.0004819219,0.00007776335,0.002633573,0.2747628,0.0006214946,0.005700632,0.007620711,0.1780376,0.3060504],"study_design_scores_gemma":[0.00002670729,0.0004584685,0.07630026,0.000392404,0.00002397972,0.0005255387,0.7590284,0.0004425028,0.001164197,0.002472816,0.1590229,0.0001417174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901171,0.00168568,0.001424506,0.05520017,0.0009462785,0.00008933251,0.00008704445,0.0002098733,0.0391862],"genre_scores_gemma":[0.9646441,0.001267618,0.001537587,0.00663886,0.0001058933,0.00005611339,0.0001139039,0.00006715016,0.02556884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01823438,"threshold_uncertainty_score":0.04327708,"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."}}