{"id":"W2108241612","doi":"10.24908/pceea.v0i0.3631","title":"“ENGINEER”: WHAT DOES IT MEAN TO OUR STUDENTS?","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Accreditation; Premise; Work (physics); Measure (data warehouse); Foundation (evidence); Computer science; Order (exchange); Engineering education; Engineering management; Engineering ethics; Engineering; Medical education; Business; Database; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.0004014466,0.0002630603,0.0002153896,0.000481866,0.000101953,0.0002176985,0.0006361145,0.0001623925,0.00006754306],"category_scores_gemma":[0.0002815834,0.0002377314,0.00009665841,0.0008021141,0.000005032087,0.000471091,0.00003886719,0.0002621092,0.0000684316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002384178,"about_ca_system_score_gemma":0.000280841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008767,"about_ca_topic_score_gemma":0.005616995,"domain_scores_codex":[0.9984346,0.000003920825,0.0003939914,0.0002244814,0.0004774353,0.0004655545],"domain_scores_gemma":[0.9988022,0.00001451831,0.00011201,0.0001728465,0.0004427932,0.0004556095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001267426,0.0008612058,0.1696334,0.002709386,0.001841504,0.000001300665,0.1883819,0.03634465,0.01333408,0.0263826,0.5496832,0.01081422],"study_design_scores_gemma":[0.000812201,0.00007183056,0.5641166,0.002018389,0.0002691924,0.00001781459,0.04160372,0.005167767,0.04773869,0.0003677231,0.3349147,0.002901389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624071,0.0002924685,0.0001931272,0.006182811,0.01976834,0.001195193,0.00002641252,0.0007727224,0.009161886],"genre_scores_gemma":[0.9927388,0.00005192741,0.003166951,0.0004391399,0.0002331795,0.0001728261,0.00000647272,0.00007730081,0.003113397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3944832,"threshold_uncertainty_score":0.9694405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007266684787327591,"score_gpt":0.2078371952461383,"score_spread":0.2005705104588107,"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."}}