{"id":"W3000967214","doi":"10.24908/pceea.vi0.13717","title":"AN ENGINEERING DESIGN PROJECT TO PROVIDE MULTI-DISCIPLINARY EXPERIENTIAL LEARNING","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Experiential learning; Project-based learning; Suite; Discipline; Engineering management; Energy consumption; Computer science; Architectural engineering; Engineering; Environmental science; Mathematics education; Electrical engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007618701,0.00113921,0.0004515785,0.0009881543,0.002288667,0.00201923,0.001677762,0.001427051,0.03565819],"category_scores_gemma":[0.00564482,0.0005109624,0.0005774813,0.0004777985,0.001056674,0.001358295,0.005008689,0.002074519,0.01110296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089249,"about_ca_system_score_gemma":0.002938712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006983815,"about_ca_topic_score_gemma":0.002820198,"domain_scores_codex":[0.9961383,0.001688707,0.0001140759,0.0003911529,0.001124398,0.000543304],"domain_scores_gemma":[0.9921853,0.0008958245,0.0001437258,0.0007779129,0.001594344,0.004402879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001095549,0.01713608,0.005359079,0.0005752306,0.00004944926,0.001576715,0.01733003,0.004369516,0.03580977,0.01165096,0.3426427,0.5624049],"study_design_scores_gemma":[0.0004470646,0.009185606,0.01077415,0.0002204382,0.00001462339,0.001919087,0.01173781,0.005384984,0.01293773,0.008863034,0.9384319,0.00008351736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4485686,0.0007525701,0.1976592,0.01143809,0.003987317,0.01095514,0.002552931,0.005048832,0.3190373],"genre_scores_gemma":[0.335525,0.0005768786,0.3012122,0.003143305,0.0002819513,0.00557245,0.003082823,0.0008367866,0.3497687],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03565819,"threshold_uncertainty_score":0.1192885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404753901477138,"score_gpt":0.2567021303359845,"score_spread":0.2426545913212131,"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."}}