{"id":"W3002922017","doi":"10.24908/pceea.vi0.13813","title":"A NEW FIELD EXERCISE FOR EXPERIENTIAL LEARNING IN COASTAL ENGINEERING","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":"Queen's University","funders":"","keywords":"Deliverable; Rubric; Experiential learning; Context (archaeology); Field (mathematics); Coastal engineering; Engineering education; Computer science; Experiential education; Engineering management; Engineering; Systems engineering; Mathematics education; Psychology; Geology; Oceanography","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":[0.002462603,0.001962311,0.0009657664,0.001098685,0.001380843,0.002537822,0.002256792,0.002407026,0.03666127],"category_scores_gemma":[0.005470191,0.0004566046,0.0006805304,0.0005697235,0.0007962806,0.002534386,0.005692821,0.003144738,0.01171555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000788678,"about_ca_system_score_gemma":0.001519317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002936742,"about_ca_topic_score_gemma":0.0009258801,"domain_scores_codex":[0.998097,0.0005378475,0.00009807793,0.0004187778,0.0005003738,0.0003480615],"domain_scores_gemma":[0.9964668,0.001209919,0.0001184365,0.0004150927,0.0004855834,0.001304187],"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":[0.0009752377,0.02108593,0.003515671,0.001460274,0.00003395261,0.001732754,0.01425323,0.005329863,0.05763745,0.02296868,0.180307,0.6906999],"study_design_scores_gemma":[0.0006787861,0.004732272,0.01272412,0.0008603235,0.00003749072,0.002512421,0.00539133,0.01044656,0.02457431,0.03767185,0.9001195,0.0002510307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242334,0.001071475,0.4145705,0.007138536,0.003626469,0.01178848,0.002408286,0.01247391,0.3045884],"genre_scores_gemma":[0.2183117,0.0009993289,0.5801381,0.002539548,0.0005944744,0.008307078,0.003355622,0.0008461087,0.184908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03666127,"threshold_uncertainty_score":0.1226442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004210498343963528,"score_gpt":0.206503878909652,"score_spread":0.2022933805656885,"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."}}