{"id":"W2914303381","doi":"10.1096/fasebj.2018.32.1_supplement.635.8","title":"X‐Reality and the HTC Vive: Virtually No Match for the Physical Model in Anatomical Education","year":2018,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"","keywords":"Headset; Enthusiasm; Virtual reality; Test (biology); Mixed reality; Cadaveric spasm; Human–computer interaction; Computer science; Physical education; Psychology; Simulation; Medicine; Artificial intelligence; Medical physics; Medical education; Surgery; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005889095,0.00007372146,0.0001117201,0.00002266926,0.000180314,0.00002517239,0.000258496,0.00006015283,0.00001167206],"category_scores_gemma":[0.0001203075,0.0000322536,0.0000477688,0.00007150478,0.0004658418,0.00004798283,0.00003465198,0.0004446169,0.00000948184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003384987,"about_ca_system_score_gemma":0.0000617284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265805,"about_ca_topic_score_gemma":0.00001676204,"domain_scores_codex":[0.9994938,0.00004298295,0.0001319175,0.00006299922,0.0001007775,0.0001674754],"domain_scores_gemma":[0.9994781,0.0002578732,0.00002795146,0.000148786,0.00004204969,0.00004525025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009474182,0.0003044765,0.0001755831,0.00006141305,0.0003131939,0.000004520693,0.009869076,0.005454418,0.009177079,0.4351617,0.03998381,0.4985473],"study_design_scores_gemma":[0.0007694947,0.00004116676,0.000204259,0.00001774063,0.00003250847,0.00005511631,0.0004596876,0.9202744,0.001725535,0.07276496,0.003590928,0.00006415647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411233,0.0005075336,0.04772435,0.008357879,0.0003842089,0.0002697552,0.000005356949,0.00004748785,0.001580098],"genre_scores_gemma":[0.9984279,0.0002982168,0.000177732,0.0004384561,0.000554899,0.00002149189,5.628122e-7,0.000008861848,0.00007186162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.91482,"threshold_uncertainty_score":0.1931664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025446663766728,"score_gpt":0.2689837982357517,"score_spread":0.2587293315980844,"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."}}