{"id":"W2604949722","doi":"10.24908/pceea.v0i0.6532","title":"CHARACTERIZING THE ENGINEERING EDUCATION GRADUATE STUDENT EXPERIENCE IN CANADA: RESEARCH DEVELOPMENT &amp; REFLECTIONS","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary; University of Saskatchewan; University of Manitoba","funders":"","keywords":"Engineering education; Identity (music); Construct (python library); Engineering research; Intersection (aeronautics); Graduate students; Sociology; Pedagogy; Engineering ethics; Engineering; Mathematics education; Psychology; Engineering management; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001611946,0.0001038864,0.0001112145,0.0002631491,0.002022926,0.0003921819,0.000842038,0.00007385804,0.00001822279],"category_scores_gemma":[0.002606971,0.0000996428,0.00003316251,0.0004919915,0.00003980513,0.0004062218,0.0000956702,0.0003371648,0.000005580986],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01528792,"about_ca_system_score_gemma":0.01414503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9465241,"about_ca_topic_score_gemma":0.9929754,"domain_scores_codex":[0.9982661,0.00001840128,0.0002369222,0.0001877642,0.0008540633,0.0004367327],"domain_scores_gemma":[0.9984325,0.00007375936,0.0002585434,0.0001522449,0.000893858,0.0001891159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002268615,0.00005996619,0.8308477,0.00006738448,0.00004429616,1.210908e-7,0.1444594,0.00008582368,0.0008980209,0.008832899,0.01263783,0.002064244],"study_design_scores_gemma":[0.00004786676,0.000001006748,0.8651336,0.0001018666,0.000005004068,2.830833e-7,0.01557161,0.00001603012,0.0003901889,0.00002988404,0.1185818,0.0001209006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795331,0.00002541976,0.00000101755,0.01070065,0.002417865,0.0003763431,0.000003028133,0.00001858302,0.006924003],"genre_scores_gemma":[0.9961251,0.00002041415,0.0002564507,0.0001239597,0.0001979327,0.0001152017,0.00000380721,0.00001117416,0.003145952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1288878,"threshold_uncertainty_score":0.9992763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065516156562581,"score_gpt":0.3575949127261191,"score_spread":0.2510432970698609,"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."}}