{"id":"W2532993545","doi":"10.1016/j.jvs.2016.08.056","title":"Smart (phone) Learning Experience Among Vascular Residents Using a Response System Application","year":2016,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Phone; Mobile phone; Medical education; Audience response; Computer science","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":[0.0006065759,0.000348016,0.0002644155,0.0003880865,0.0005857423,0.0007371971,0.0003692539,0.0007505793,0.01827815],"category_scores_gemma":[0.003588047,0.0001534667,0.0003297428,0.000130281,0.0002105513,0.0005688312,0.000941259,0.0006829727,0.003128943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141993,"about_ca_system_score_gemma":0.0002536379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004560498,"about_ca_topic_score_gemma":0.0009675648,"domain_scores_codex":[0.9996761,0.0001286567,0.00001543012,0.00004473787,0.00004293296,0.00009224143],"domain_scores_gemma":[0.9975915,0.000917535,0.0001840261,0.00008880921,0.0001797558,0.001038396],"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":[0.004893466,0.03703476,0.3394173,0.0009958646,0.0001822201,0.01124795,0.09436253,0.001524273,0.05447625,0.0006827335,0.02787186,0.4273108],"study_design_scores_gemma":[0.0007956835,0.05873057,0.6898892,0.0003707253,0.0005452808,0.01220108,0.1496812,0.0106582,0.02473614,0.0009571536,0.0508236,0.000611246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959847,0.00003507362,0.0005557535,0.0001742003,0.00002854915,0.00004772524,0.00006872998,0.0001312955,0.002974097],"genre_scores_gemma":[0.9903115,0.0000774296,0.001207144,0.0002632841,0.00003843761,0.00005051758,0.00007807135,0.00002857514,0.007944985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01827815,"threshold_uncertainty_score":0.0611465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697628758825084,"score_gpt":0.2538447539430554,"score_spread":0.2368684663548046,"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."}}