{"id":"W3175024344","doi":"10.1096/fasebj.2019.33.1_supplement.444.9","title":"Does Optional Online Quizzing Improve Student Satisfaction and Preparedness in an Undergraduate Elective Advanced Human Anatomy Course?","year":2019,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Preparedness; Likert scale; Medical education; Psychology; Flexibility (engineering); Medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003785835,0.0002532075,0.0006531043,0.0005425202,0.0004464411,0.001457566,0.0004006111,0.0007029491,0.005210893],"category_scores_gemma":[0.01435038,0.0001751622,0.0009263089,0.0005537305,0.000461598,0.000593304,0.0005635797,0.00104078,0.0009764327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005294484,"about_ca_system_score_gemma":0.0008373241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001499277,"about_ca_topic_score_gemma":0.002982636,"domain_scores_codex":[0.9977109,0.0007083717,0.0002150717,0.0002082424,0.0007184545,0.0004388969],"domain_scores_gemma":[0.9838119,0.004447353,0.004450949,0.0003959418,0.001669794,0.005223954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00192425,0.01084625,0.8868174,0.0001538556,0.0001763938,0.0001276381,0.001484596,0.0003069594,0.00278045,0.0001046831,0.002024569,0.09325303],"study_design_scores_gemma":[0.00004976983,0.006321113,0.989747,0.00001967557,0.00005279682,0.00006151065,0.001381322,0.0007412087,0.0009060259,0.00004926379,0.0006470477,0.00002328213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990207,0.00004306834,0.00009481493,0.0002054196,0.00002075881,0.00002091213,0.00003515112,0.00001045666,0.0005487489],"genre_scores_gemma":[0.9987614,0.0000616077,0.0002139436,0.0001482846,0.00002265251,0.00002070805,0.00006376813,0.000004369083,0.0007031557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005210893,"threshold_uncertainty_score":0.02002162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017649231811972,"score_gpt":0.3652338389280353,"score_spread":0.3550573466099156,"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."}}