{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004163797,0.0002793546,0.0002428731,0.0005335609,0.000136291,0.00007424486,0.0003095835,0.0002155017,0.00002585837],"category_scores_gemma":[0.0002961146,0.0002721962,0.0001002453,0.0008299709,0.00001339566,0.0002144581,0.00002309361,0.0004054974,0.000009017524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937782,"about_ca_system_score_gemma":0.000221089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008983176,"about_ca_topic_score_gemma":0.0006156905,"domain_scores_codex":[0.9985783,0.000005589924,0.0003768399,0.0002513958,0.0003402323,0.0004476716],"domain_scores_gemma":[0.9990888,0.00003140715,0.0001252539,0.000185253,0.000240091,0.0003292388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000461603,0.006271623,0.4011458,0.01163961,0.00430084,0.00005688702,0.1357001,0.2887004,0.02756978,0.01807471,0.09145105,0.01504298],"study_design_scores_gemma":[0.002411803,0.0003996309,0.2177741,0.001039825,0.0008081511,0.0009414123,0.01228875,0.7419692,0.009775658,0.0001507759,0.009173521,0.003267238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933686,0.00004976531,0.0001463514,0.00006767666,0.001967183,0.0004956083,0.000010265,0.0002949348,0.003599611],"genre_scores_gemma":[0.9968892,0.000003320167,0.00232614,0.00003418239,0.000260646,0.0000983361,0.000004903228,0.000080897,0.0003023605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4532688,"threshold_uncertainty_score":0.999973,"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."}}