{"id":"W1958190125","doi":"10.24908/pceea.v0i0.5769","title":"EVALUATION OF INDIVIDUAL MEMBERS IN ENGINEERING DESIGN TEAMS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formative assessment; Peer evaluation; Psychology; Team composition; Teamwork; Accreditation; Team effectiveness; Engineering education; Peer feedback; Task (project management); Curriculum; Medical education; Work (physics); Mathematics education; Engineering; Higher education; Social psychology; Pedagogy; Operations management; Engineering management; Management; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002791586,0.0001923231,0.0002140477,0.0006204011,0.00002879662,0.00005165477,0.0003481519,0.0001701269,0.00002384357],"category_scores_gemma":[0.001842359,0.0002073893,0.00005866015,0.001016014,0.000009164638,0.000236158,0.00001982195,0.0002461493,0.000005026368],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005029421,"about_ca_system_score_gemma":0.001554991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001237255,"about_ca_topic_score_gemma":0.001127558,"domain_scores_codex":[0.9980389,0.00001432429,0.0004535905,0.0001543352,0.001016159,0.0003226179],"domain_scores_gemma":[0.9984224,0.00004581345,0.0001675814,0.0001121378,0.00101146,0.0002405965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001152389,0.00006251929,0.01646669,0.0002501767,0.0001391273,4.328838e-8,0.00415809,0.9525382,0.001354403,0.001251864,0.02194945,0.001828301],"study_design_scores_gemma":[0.001696175,0.00004776054,0.3176918,0.001005703,0.000391246,0.00001116214,0.002997029,0.6343881,0.02457131,0.0004120536,0.01553186,0.001255748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849859,0.0007689248,0.0003290435,0.0007634959,0.005293086,0.001228848,0.00002199414,0.0002683619,0.006340386],"genre_scores_gemma":[0.9963558,0.000008935659,0.003195062,0.00002528518,0.00008461039,0.0001463514,0.00000907221,0.00004539215,0.0001295458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3181501,"threshold_uncertainty_score":0.9987901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915586556480762,"score_gpt":0.2247153093999029,"score_spread":0.2055594438350953,"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."}}