{"id":"W2154833432","doi":"10.1002/ase.1264","title":"The use of limericks to engage student interest and promote active learning in an undergraduate course in functional anatomy","year":2012,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Rubric; Mnemonic; Psychology; Vocabulary; Mathematics education; Active learning (machine learning); Medical education; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00539112,0.0005260788,0.0003686149,0.0008976647,0.0008376673,0.001327183,0.001093954,0.0004303542,0.001803877],"category_scores_gemma":[0.0169449,0.0002251824,0.000268719,0.0003207505,0.0006684057,0.000900668,0.002267072,0.0005853558,0.0005107655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959798,"about_ca_system_score_gemma":0.0008394851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001896075,"about_ca_topic_score_gemma":0.0006607497,"domain_scores_codex":[0.9966184,0.00169684,0.0002272483,0.0004048046,0.0008648433,0.0001878214],"domain_scores_gemma":[0.9930467,0.003546081,0.001003177,0.0006392178,0.0007318695,0.001033069],"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":[0.0009667716,0.006352702,0.02881285,0.0008096683,0.00004334439,0.0004659994,0.0114555,0.0008527362,0.04583504,0.0009002386,0.004069125,0.899436],"study_design_scores_gemma":[0.0005958356,0.06978843,0.6155732,0.001213915,0.0002849643,0.005063094,0.02504787,0.01366837,0.1495369,0.005545769,0.1131719,0.0005097013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848029,0.0001342731,0.006750961,0.0002523089,0.00003273271,0.0007319713,0.0000342651,0.000312378,0.006948179],"genre_scores_gemma":[0.9145633,0.0003510994,0.07809749,0.0001497324,0.000044155,0.0008733978,0.0001150863,0.00006799399,0.005737762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00539112,"threshold_uncertainty_score":0.02851129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04022318905947376,"score_gpt":0.3340436038597369,"score_spread":0.2938204148002632,"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."}}