{"id":"W4312810435","doi":"10.24908/pceea.vi0.14135","title":"INFORMING TEAM DYNAMICS OF CAPSTONE PROJECTS USING PEER EVALUATION SCORES","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Capstone; Teamwork; Interpersonal communication; Set (abstract data type); Peer evaluation; Peer assessment; Quality (philosophy); Team composition; Empirical research; Psychology; Applied psychology; Computer science; Knowledge management; Social psychology; Mathematics education; Higher education; Mathematics; Management; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408403,0.0001493086,0.0001765875,0.0002634719,0.00009090103,0.00007303935,0.0002427951,0.0001372345,0.0000429047],"category_scores_gemma":[0.00320366,0.0001618481,0.00006785458,0.0008068701,0.00001379783,0.0005055625,0.00001557598,0.0002414501,0.000005704107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600677,"about_ca_system_score_gemma":0.001221436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00285056,"about_ca_topic_score_gemma":0.001614783,"domain_scores_codex":[0.9986537,0.000009149448,0.000374097,0.0001312744,0.0005963118,0.0002355087],"domain_scores_gemma":[0.9979698,0.00005629142,0.0003460477,0.000086214,0.001351075,0.0001905517],"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":[0.00003154398,0.0002772673,0.2375723,0.005385736,0.001036521,1.819354e-7,0.05860991,0.3784311,0.06949552,0.0284487,0.1975414,0.02316986],"study_design_scores_gemma":[0.0003443541,0.00002494578,0.0360247,0.0002317569,0.0002331142,0.000006069057,0.002853407,0.9320353,0.01243633,0.0001210419,0.01524885,0.0004401783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651518,0.0002831712,0.0003614235,0.009275503,0.003187641,0.001379534,0.00006184563,0.0002256703,0.02007338],"genre_scores_gemma":[0.9973723,0.000007262943,0.001888148,0.000170646,0.0001765535,0.00003300298,0.00002197457,0.00003956267,0.0002906098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5536042,"threshold_uncertainty_score":0.6800679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128554250526009,"score_gpt":0.2457934379280398,"score_spread":0.2245078954227797,"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."}}