{"id":"W7132926776","doi":"","title":"Early career pathways of engineering graduates in Canada: Experiences of the 2015 class in the National Graduate Survey data","year":2023,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Association (psychology); Graduate students; Engineering education; Survey data collection; Survey research; Graduate education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776718,0.0002649245,0.0004793598,0.001692859,0.005135521,0.003039856,0.00178275,0.0008281955,0.005856523],"category_scores_gemma":[0.00588984,0.0003546395,0.0005147799,0.005784273,0.000802006,0.001267241,0.003713697,0.00269036,0.001011443],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03273709,"about_ca_system_score_gemma":0.08378015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938081,"about_ca_topic_score_gemma":0.9980388,"domain_scores_codex":[0.9971751,0.0001776226,0.00007661759,0.0001934891,0.0006902247,0.001686964],"domain_scores_gemma":[0.9918612,0.0002884998,0.0005205179,0.0001372004,0.002609606,0.004582907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001656293,0.0001884984,0.7739382,0.0001820782,0.0000511062,0.0002279399,0.04200371,0.0001848459,0.0004358509,0.001591352,0.1184342,0.06259659],"study_design_scores_gemma":[0.000005066384,0.00002260133,0.9055747,0.0001842052,0.00001003626,0.0000341591,0.06432208,0.0001068816,0.0001006572,0.0001052568,0.02949685,0.00003756619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084963,0.002527483,0.0003307216,0.02068288,0.0003163795,0.0001324355,0.0480308,0.00007172753,0.01941127],"genre_scores_gemma":[0.9486575,0.002930121,0.0005257609,0.002976024,0.00005734335,0.0001152186,0.02041362,0.0000731894,0.02425118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9672629,"threshold_uncertainty_score":0.2375253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947480498371456,"score_gpt":0.3247745921858816,"score_spread":0.130026542348736,"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."}}