{"id":"W2982383331","doi":"10.1002/ase.1928","title":"The Critical Role of Stereopsis in Virtual and Mixed Reality Learning Environments","year":2019,"lang":"en","type":"article","venue":"Anatomical Sciences Education","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Hamilton Health Sciences; University of Ottawa; McMaster University","funders":"","keywords":"Virtual reality; Stereopsis; Mixed reality; Computer science; Augmented reality; Depth perception; Artificial intelligence; Human–computer interaction; Psychology; Perception","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":[0.004348429,0.0002937549,0.0002776522,0.0007052184,0.0004436014,0.001452168,0.0004701022,0.0003818326,0.002473403],"category_scores_gemma":[0.02046915,0.0002266873,0.0001748833,0.0002098559,0.001411913,0.001592991,0.001580271,0.0004075682,0.0002634427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005235968,"about_ca_system_score_gemma":0.001136882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016415,"about_ca_topic_score_gemma":0.00122286,"domain_scores_codex":[0.9941281,0.002836868,0.0002477405,0.0003270315,0.002237728,0.000222591],"domain_scores_gemma":[0.9861477,0.009966465,0.001386051,0.0007786133,0.001020874,0.0007003608],"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":[0.00412025,0.001142477,0.07175994,0.001374879,0.0001177043,0.0003151357,0.005019865,0.004369319,0.1018083,0.01287199,0.001096723,0.7960034],"study_design_scores_gemma":[0.0004353092,0.03268652,0.7076223,0.0009333912,0.0004623514,0.005562383,0.007958105,0.02485398,0.1668698,0.03084743,0.02143219,0.0003362048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639384,0.00196008,0.01780025,0.0004591654,0.0000368432,0.00008109761,0.00002674047,0.00006770215,0.01562981],"genre_scores_gemma":[0.9945117,0.0002940204,0.004636848,0.00006988146,0.00001791983,0.00002771386,0.00001274227,0.000008638278,0.0004205178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004348429,"threshold_uncertainty_score":0.02299696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005132697192384615,"score_gpt":0.2538816495268141,"score_spread":0.2487489523344295,"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."}}