{"id":"W2559437682","doi":"10.2147/amep.s96320","title":"Tips for using mobile audience response systems in medical education","year":2016,"lang":"en","type":"article","venue":"Advances in Medical Education and Practice","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Interactivity; Audience response; Mobile device; Multimedia; Medical education; Computer science; Mobile technology; Medicine; World Wide Web","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":[0.01996269,0.002494248,0.0007579507,0.002028379,0.002096983,0.003602004,0.002272576,0.008133455,0.0162033],"category_scores_gemma":[0.08403011,0.0007570451,0.001536258,0.001161552,0.002020589,0.01025802,0.003384113,0.006081337,0.008116773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009705552,"about_ca_system_score_gemma":0.00230035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007959066,"about_ca_topic_score_gemma":0.002879899,"domain_scores_codex":[0.9740387,0.01863386,0.001964499,0.0006659481,0.003957029,0.0007399209],"domain_scores_gemma":[0.9117162,0.0653122,0.00408808,0.003095805,0.01199147,0.00379628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003553253,0.0009073853,0.002242519,0.005236624,0.00006500285,0.001312317,0.008820353,0.0006106723,0.005756256,0.006234292,0.1626841,0.8057752],"study_design_scores_gemma":[0.0004740136,0.003077036,0.01025509,0.02190925,0.0003142839,0.005830122,0.0419016,0.003297538,0.008742093,0.03581971,0.8677273,0.0006519819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02594103,0.0324493,0.2242812,0.6377505,0.01680311,0.004050079,0.0004811035,0.008338531,0.04990516],"genre_scores_gemma":[0.1046416,0.03334424,0.730916,0.08636241,0.009689759,0.006518115,0.0003253587,0.001143781,0.02705863],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01996269,"threshold_uncertainty_score":0.105574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05277284635435,"score_gpt":0.5506758160603581,"score_spread":0.4979029697060081,"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."}}