{"id":"W2978487896","doi":"10.24908/pceea.v0i0.10539","title":"A COURSE BASED APPROACH TO RECOGNIZING STUDENT EFFORTS IN ENGINEERING DESIGN COMPETITIONS","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Experiential learning; Competition (biology); Medical education; Course (navigation); Work (physics); Scale (ratio); Project-based learning; Psychology; Engineering; Mathematics education; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005307798,0.0008667359,0.0004936198,0.003943573,0.004600012,0.0060266,0.002961322,0.002053311,0.0120487],"category_scores_gemma":[0.01437716,0.000523718,0.0004390746,0.002188097,0.001036449,0.002184514,0.005462183,0.00354345,0.003319494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004852363,"about_ca_system_score_gemma":0.005609433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003355446,"about_ca_topic_score_gemma":0.01105188,"domain_scores_codex":[0.9940119,0.002291413,0.0003984268,0.0008004811,0.001757026,0.0007407775],"domain_scores_gemma":[0.9846118,0.002226249,0.001460681,0.0009414213,0.005553673,0.005206125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007739144,0.01418971,0.09308752,0.0005589018,0.00006143632,0.00127074,0.03183956,0.001280599,0.02130259,0.01080993,0.08273877,0.7420863],"study_design_scores_gemma":[0.0004579785,0.008531947,0.3062849,0.000834315,0.0001398132,0.002387393,0.1671184,0.02843821,0.02473737,0.01501325,0.4455292,0.0005273654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7612696,0.0005604508,0.08060165,0.01583362,0.002577175,0.008829996,0.0009379092,0.002623867,0.1267657],"genre_scores_gemma":[0.782913,0.0003217066,0.1567627,0.002392815,0.0003259401,0.005465569,0.0009059652,0.0001935305,0.05071878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0120487,"threshold_uncertainty_score":0.04030687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091669231497746,"score_gpt":0.2080754840099632,"score_spread":0.1989085608601886,"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."}}