{"id":"W3210931027","doi":"10.3390/mti5110066","title":"Virtual and Augmented Reality Direct Ophthalmoscopy Tool: A Comparison between Interactions Methods","year":2021,"lang":"en","type":"article","venue":"Multimodal Technologies and Interaction","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Usability; Computer science; Virtual reality; Ophthalmoscopy; Fundus (uterus); Augmented reality; Controller (irrigation); Human–computer interaction; Ophthalmology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004594736,0.0008123681,0.0005551409,0.002037974,0.0004229493,0.002359491,0.0007719098,0.000800635,0.003518747],"category_scores_gemma":[0.02431404,0.0003614358,0.001000083,0.0008013448,0.0005086261,0.001511922,0.001768423,0.0004167955,0.0006351265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367162,"about_ca_system_score_gemma":0.0004945688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000961212,"about_ca_topic_score_gemma":0.00109849,"domain_scores_codex":[0.9912271,0.00392501,0.0009802979,0.000610861,0.002961599,0.0002950977],"domain_scores_gemma":[0.976315,0.01813488,0.001511995,0.0008846844,0.002668823,0.000484553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01207495,0.001317849,0.05522273,0.009794435,0.0007765945,0.0007725701,0.02464298,0.002256813,0.04310033,0.002080875,0.002954463,0.8450055],"study_design_scores_gemma":[0.001902797,0.05040365,0.733282,0.005103665,0.004168944,0.007795687,0.03805287,0.02527297,0.0345878,0.002750074,0.09565062,0.00102886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423077,0.009029306,0.03142456,0.0002316318,0.0001985705,0.001058488,0.0005080497,0.0006794544,0.01456227],"genre_scores_gemma":[0.9484277,0.003262936,0.04254918,0.0001280572,0.00008045155,0.001014214,0.0005709956,0.000211376,0.003754946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004594736,"threshold_uncertainty_score":0.02429956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2326686195650674,"score_gpt":0.568455628821523,"score_spread":0.3357870092564556,"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."}}