{"id":"W4225419519","doi":"10.1096/fasebj.2022.36.s1.r2607","title":"The use of Hololens increases the engagement while reducing the cognitive load of senior medical students when overlaying medical imaging of body donors during the dissection","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cognition; Cognitive load; Augmented reality; Overlay; Psychology; Dissection (medical); Medicine; Medical physics; Medical education; Computer science; Human–computer interaction; Surgery; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003320695,0.0003108318,0.00021247,0.0002626502,0.000202242,0.0005699416,0.0002453809,0.0002141359,0.005664191],"category_scores_gemma":[0.001653836,0.0001179633,0.0002507207,0.0001011537,0.0001944755,0.0002998295,0.000830367,0.0003624404,0.0006849164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126068,"about_ca_system_score_gemma":0.0002507145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003484479,"about_ca_topic_score_gemma":0.001000086,"domain_scores_codex":[0.9997264,0.00005348531,0.00001781629,0.00005862319,0.00008426136,0.00005944981],"domain_scores_gemma":[0.9992881,0.0001757681,0.0001425833,0.00004202057,0.00006303655,0.0002885112],"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":[0.003904663,0.009923778,0.1754096,0.0008081008,0.000126237,0.0007200076,0.01219609,0.0004019962,0.3782853,0.0003229025,0.003124382,0.414777],"study_design_scores_gemma":[0.0001812412,0.02291641,0.8922855,0.0001529198,0.0001828244,0.0009032956,0.006828284,0.001639497,0.06191391,0.0003722362,0.0125332,0.0000907205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983919,0.0000401299,0.0007205799,0.00004290636,0.000007979372,0.00001657723,0.00001857522,0.00002875958,0.0007325318],"genre_scores_gemma":[0.994684,0.0001727286,0.0027561,0.00007018005,0.00001427288,0.00005617627,0.00005459725,0.00001122164,0.002180698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005664191,"threshold_uncertainty_score":0.01894861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368538146327951,"score_gpt":0.2556538900390374,"score_spread":0.2419685085757579,"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."}}