{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003857207,0.0000599026,0.0000788472,0.0001142192,0.0000713105,0.00002107609,0.0001092795,0.00004985971,0.000005035667],"category_scores_gemma":[0.0001425261,0.00004497102,0.000009496479,0.0004315376,0.0002076795,0.0003087986,0.00003547465,0.0002452865,0.000002437111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007147605,"about_ca_system_score_gemma":0.00006878871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007915725,"about_ca_topic_score_gemma":0.0003872771,"domain_scores_codex":[0.9993709,0.0000622204,0.0001384665,0.0001147217,0.0001106523,0.0002030909],"domain_scores_gemma":[0.999663,0.0001419702,0.00002417991,0.00005805044,0.00001723548,0.00009559187],"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":[0.00001914233,0.0004269628,0.2839358,0.0000106573,0.00001290192,6.040538e-7,0.003271017,0.001030224,0.001131645,0.02992405,0.0002282364,0.6800088],"study_design_scores_gemma":[0.0002313014,0.0001645671,0.9481218,0.00007008848,0.000008597613,0.000005115896,0.009125987,0.01979232,0.001818241,0.001558366,0.01891753,0.000186038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979891,0.0002629918,0.0001532662,0.001129032,0.0002134747,0.0001310373,3.205168e-7,0.00002640659,0.00009436344],"genre_scores_gemma":[0.9994774,0.0001276284,0.0002825994,0.00005155869,0.00002087564,0.00002228812,0.000001556746,0.000003679769,0.00001236779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6798227,"threshold_uncertainty_score":0.1833865,"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."}}