{"id":"W2109791920","doi":"10.24908/pceea.v0i0.3634","title":"Engineering Outreach Using a Hands-On Case Study Approach","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Outreach; Curriculum; Mathematics education; Class (philosophy); Science education; Science and engineering; Variety (cybernetics); Engineering education; Work (physics); Engineering; Medical education; Psychology; Pedagogy; Computer science; Medicine; Engineering ethics; Engineering management; Political science; Mechanical engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009825964,0.001515244,0.0007288769,0.003215705,0.00756579,0.005993576,0.005098152,0.003591013,0.01059538],"category_scores_gemma":[0.006505638,0.0006032216,0.0008902323,0.002585486,0.00450466,0.003728114,0.007885494,0.002233044,0.001340547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008991928,"about_ca_system_score_gemma":0.006821741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009369681,"about_ca_topic_score_gemma":0.03627869,"domain_scores_codex":[0.9869494,0.009657153,0.0003213766,0.0006642868,0.00138044,0.001027359],"domain_scores_gemma":[0.9920105,0.005507201,0.0003380749,0.0004119331,0.0008729,0.0008594362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006601999,0.01988878,0.01561186,0.006293736,0.0002116563,0.03998979,0.3887656,0.007029966,0.009518768,0.1323381,0.03912944,0.3405622],"study_design_scores_gemma":[0.000391073,0.003593844,0.01032962,0.006390883,0.0001345106,0.01107891,0.5583283,0.005039849,0.006921715,0.03060287,0.3669878,0.0002006268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5392657,0.01149307,0.1201533,0.01030149,0.0009585979,0.02333671,0.001233041,0.0002645589,0.2929935],"genre_scores_gemma":[0.7771758,0.01033393,0.1486063,0.002873143,0.0001984921,0.00893414,0.0005474889,0.0001006541,0.05123011],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01059538,"threshold_uncertainty_score":0.06524128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979652437312821,"score_gpt":0.1974658998239883,"score_spread":0.1776693754508601,"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."}}