{"id":"W2885337142","doi":"10.24908/pceea.v0i0.10158","title":"PEER FEEDBACK OVER TIME","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Teamwork; Accreditation; Peer feedback; Component (thermodynamics); Inclusion (mineral); Work (physics); Peer evaluation; Peer assessment; Value (mathematics); Computer science; Engineering education; Medical education; Psychology; Engineering management; Higher education; Engineering; Mathematics education; Medicine; Management; Political science; Mechanical engineering","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":[0.02808848,0.001261623,0.001050175,0.003423791,0.001905607,0.003308054,0.002124389,0.0009448125,0.02663403],"category_scores_gemma":[0.2062179,0.0004597348,0.0007054516,0.001821642,0.0007415935,0.002311842,0.004077712,0.001771117,0.008834381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983147,"about_ca_system_score_gemma":0.004151449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002245639,"about_ca_topic_score_gemma":0.003011769,"domain_scores_codex":[0.9389215,0.03043834,0.004969028,0.005035758,0.01891872,0.001716632],"domain_scores_gemma":[0.7527102,0.09541153,0.01731266,0.02393296,0.101873,0.008759563],"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":[0.001570904,0.001524892,0.02698216,0.0009624286,0.00009801999,0.0002456878,0.01739438,0.000944683,0.007692555,0.00102601,0.03262859,0.9089296],"study_design_scores_gemma":[0.001228008,0.01709078,0.2610943,0.003320768,0.0006396722,0.001336848,0.0400363,0.02795023,0.05532124,0.00905538,0.5821121,0.0008144154],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7038714,0.001872466,0.09810503,0.00898886,0.004939434,0.01413661,0.003992825,0.01071281,0.1533806],"genre_scores_gemma":[0.8803266,0.0006428729,0.04581274,0.001037175,0.0007453279,0.005609548,0.001160128,0.000808147,0.06385746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02808848,"threshold_uncertainty_score":0.1485478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002779090155292019,"score_gpt":0.1800514439323227,"score_spread":0.1772723537770307,"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."}}