{"id":"W2996595813","doi":"10.3138/jvme.2019-0018","title":"Students’ Engagement in and Perceptions of Blended Learning in a Clinical Module in a Veterinary Degree Program","year":2019,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Glasgow","keywords":"Blended learning; Flexibility (engineering); Medical education; Perception; Audit; Active learning (machine learning); Face-to-face; Psychology; Educational technology; Computer science; Mathematics education; Medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01662748,0.00007736729,0.0003020786,0.0004227992,0.00004494751,0.00001869455,0.0002658719,0.0001315941,0.0001837847],"category_scores_gemma":[0.004168857,0.00007333077,0.00004890381,0.000447367,0.0001759501,0.0002339699,0.00009647315,0.001103185,0.00000187077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411037,"about_ca_system_score_gemma":0.001429335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002574215,"about_ca_topic_score_gemma":0.0001048195,"domain_scores_codex":[0.9944442,0.003634617,0.0009268238,0.0001455324,0.0006620208,0.0001868254],"domain_scores_gemma":[0.9988883,0.0004662167,0.0003493971,0.00008190629,0.0001039357,0.000110238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001402418,0.001760861,0.7266396,0.0000412199,0.000007334786,0.00002688851,0.0163242,0.000005627604,0.0003808566,0.000151692,0.00001712719,0.2545043],"study_design_scores_gemma":[0.0009754531,0.002327044,0.9777055,0.0005355793,0.000003379545,0.0000345937,0.01575184,0.0001494913,8.039747e-7,0.0002399407,0.002209548,0.00006679182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971007,0.00007380837,0.00005966799,0.001256283,0.0005871683,0.0003222942,1.331888e-7,0.00000636326,0.0005935582],"genre_scores_gemma":[0.9908459,0.0002170382,0.008635599,0.00007369263,0.000133826,0.00001757313,9.114898e-7,0.000006663982,0.00006883709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2544375,"threshold_uncertainty_score":0.5762786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.204709467172466,"score_gpt":0.5519096990462038,"score_spread":0.3472002318737378,"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."}}