{"id":"W2886195094","doi":"10.24908/pceea.v0i0.9771","title":"A REFLECTION ON USING FACE-TO-FACE PEER REVIEW AS A METHOD OF PROVIDING FORMATIVE FEEDBACK","year":2018,"lang":"en","type":"review","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Formative assessment; Peer feedback; Reflection (computer programming); Face (sociological concept); Peer review; Computer science; Technical peer review; Face-to-face; Medical education; Mathematics education; Work (physics); Course (navigation); Psychology; Pedagogy; Sociology; Engineering; Medicine; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001379882,0.0005672266,0.001152743,0.0008973652,0.0001442336,0.00009368157,0.0006369516,0.0004405337,0.00002391128],"category_scores_gemma":[0.003052464,0.0005604211,0.0004061556,0.001711948,0.00001593889,0.0002901261,0.00006576811,0.0007585234,0.00004896678],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008631793,"about_ca_system_score_gemma":0.0007853114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008772117,"about_ca_topic_score_gemma":0.0001196691,"domain_scores_codex":[0.9972381,0.00003217145,0.0009690534,0.0003681302,0.0008587549,0.0005337684],"domain_scores_gemma":[0.997433,0.0001393101,0.0008598387,0.0002628381,0.0010049,0.0003001271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001449926,0.0003097795,0.0001193372,0.4316532,0.003952678,7.444451e-7,0.01663838,0.1128748,0.003962853,0.004436193,0.2073318,0.2187057],"study_design_scores_gemma":[0.00008611741,0.00005728242,0.00002544164,0.06079881,0.0005067613,0.00002229262,0.0001912951,0.005031015,0.001569322,0.000011769,0.9310244,0.0006754413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000449487,0.9753841,0.001060531,0.0007465252,0.00570586,0.004879088,0.0001676603,0.0005606925,0.01104611],"genre_scores_gemma":[0.006166766,0.9156661,0.06130619,0.0006124044,0.001979944,0.001700572,0.0002102113,0.001448974,0.01090882],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7236927,"threshold_uncertainty_score":0.9996848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582099343504589,"score_gpt":0.3447020968068822,"score_spread":0.3088811033718363,"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."}}