{"id":"W4381058909","doi":"10.56198/itig283vn","title":"Virtual Reality and Anatomy: Increasing Motivation and Learning Gains","year":2023,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Georgian College","funders":"","keywords":"Virtual reality; Computer science; Human–computer interaction; Multimedia","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":[0.001220063,0.0003925902,0.0004160957,0.0007223891,0.0003505345,0.001275623,0.0005217987,0.0004661946,0.007886457],"category_scores_gemma":[0.003137011,0.0001610441,0.0005333336,0.0002760818,0.0003010638,0.0006153276,0.001759329,0.0006672105,0.0009542066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204136,"about_ca_system_score_gemma":0.0005581606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00026279,"about_ca_topic_score_gemma":0.0004492962,"domain_scores_codex":[0.999194,0.0002799415,0.00003047017,0.0001222663,0.0002262228,0.000147194],"domain_scores_gemma":[0.9985756,0.0004707766,0.0001538265,0.00008133596,0.00007054834,0.0006479213],"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":[0.002926655,0.05810815,0.01756507,0.0006762432,0.0001567328,0.000280774,0.002740446,0.001030158,0.02710264,0.002058959,0.005021367,0.8823329],"study_design_scores_gemma":[0.00434903,0.1295662,0.7459458,0.0007323711,0.0007336217,0.002193355,0.003902987,0.008064957,0.02790642,0.005866553,0.07047058,0.0002682615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884425,0.0004261237,0.002078438,0.0004935161,0.00009222701,0.0002152144,0.00006213609,0.0001608363,0.008028997],"genre_scores_gemma":[0.9819924,0.0008570746,0.009009991,0.0001880532,0.00009687457,0.0003180453,0.0001282801,0.00004653463,0.007362726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007886457,"threshold_uncertainty_score":0.02638286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05103125921849961,"score_gpt":0.316720160312031,"score_spread":0.2656889010935314,"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."}}