{"id":"W3175888263","doi":"10.1096/fasebj.2019.33.1_supplement.17.4","title":"Is a Dissective Virtual Reality Model an Effective Learning Tool?","year":2019,"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":"Western University; McMaster University","funders":"","keywords":"Virtual reality; Novelty; Computer science; Visualization; Dissection (medical); Replicate; Human–computer interaction; Interactivity; 3d model; Human anatomy; Artificial intelligence; Anatomy; Multimedia; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004431975,0.0001029687,0.00014527,0.00004495234,0.0001287342,0.00002216002,0.0001994629,0.0001074691,0.0001156583],"category_scores_gemma":[0.00006156633,0.00006820063,0.00006713474,0.00009168925,0.00006092601,0.0001469633,0.00003169062,0.001107116,0.00007321409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007654585,"about_ca_system_score_gemma":0.00002046427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004118058,"about_ca_topic_score_gemma":0.000002021049,"domain_scores_codex":[0.999319,0.00007282574,0.0001269425,0.00009763905,0.0001534009,0.0002301526],"domain_scores_gemma":[0.9996241,0.00007475607,0.00003367108,0.00015473,0.00002897402,0.00008379807],"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":[0.0002550607,0.0001130798,0.002762531,0.00004467197,0.0005319891,0.00008077591,0.01216704,0.4257984,0.08972687,0.02132037,0.001706263,0.445493],"study_design_scores_gemma":[0.0006015617,0.0004549146,0.001355821,0.00004210018,0.00003418792,0.0002060145,0.001447235,0.9616264,0.0232076,0.009623131,0.001201252,0.0001997753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576763,0.0001089632,0.03845875,0.0001256288,0.000184635,0.0001126751,0.000003018733,0.0001580077,0.003172004],"genre_scores_gemma":[0.9993508,0.00009647557,0.00007264547,0.00009932921,0.0001039146,0.000005461028,0.000001255728,0.00001640695,0.0002537017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5358281,"threshold_uncertainty_score":0.4809929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009612624092943934,"score_gpt":0.2465990139649485,"score_spread":0.2369863898720045,"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."}}