{"id":"W3121874486","doi":"10.1002/jdd.12548","title":"Improving effectiveness of dental students’ feedback and course evaluation","year":2021,"lang":"en","type":"article","venue":"Journal of Dental Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Constructive; Psychology; Medical education; Modality (human–computer interaction); Peer feedback; Bonferroni correction; Test (biology); Mathematics education; Modalities; Dental education; Computer science; Medicine; Process (computing); Mathematics; Statistics; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03122658,0.0009900451,0.001709267,0.001746941,0.0005939308,0.001509084,0.001109867,0.001089349,0.004350056],"category_scores_gemma":[0.1224559,0.0003092657,0.00103093,0.0008343896,0.0003584293,0.001050284,0.001409666,0.001017514,0.001654208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024804,"about_ca_system_score_gemma":0.001714317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068864,"about_ca_topic_score_gemma":0.001574258,"domain_scores_codex":[0.9528214,0.02946082,0.003079268,0.002192424,0.01075201,0.001694065],"domain_scores_gemma":[0.885768,0.07500303,0.009432849,0.004668757,0.02072687,0.004400581],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008272308,0.01062687,0.07419001,0.001531102,0.0002211621,0.0001555841,0.004340766,0.0009434667,0.01178655,0.0001174123,0.00412185,0.8836929],"study_design_scores_gemma":[0.001656234,0.04686828,0.8563894,0.001353072,0.0009488093,0.0005649981,0.004998901,0.01151552,0.05510971,0.0005227813,0.01965447,0.0004178907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817491,0.001052658,0.007401254,0.0005291813,0.0003599588,0.001700009,0.0002642368,0.0006373675,0.006306296],"genre_scores_gemma":[0.9774286,0.0006363842,0.01626365,0.0002152075,0.0002029681,0.001149869,0.0003258234,0.00008417863,0.003693319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9687734,"threshold_uncertainty_score":0.1651439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163007645657987,"score_gpt":0.3900988013952378,"score_spread":0.378468724938658,"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."}}