{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043955,0.0001710091,0.0004518771,0.0001918371,0.0002464861,0.00004564374,0.00005877126,0.000273106,0.00009748374],"category_scores_gemma":[0.001122079,0.0001489724,0.00005639948,0.0002695839,0.0002121977,0.0002229871,0.0002380445,0.0008948439,0.000009492171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001150572,"about_ca_system_score_gemma":0.00005250833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00028324,"about_ca_topic_score_gemma":0.00001725452,"domain_scores_codex":[0.9985235,0.0002248444,0.0003778914,0.0004533988,0.0001299401,0.0002904336],"domain_scores_gemma":[0.9987307,0.0006345246,0.0001033752,0.0002865323,0.0001597947,0.00008510477],"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":[0.0006150599,0.0003802701,0.2018604,0.0001824234,0.000160401,0.00006933066,0.0001953984,0.00000181474,0.02002675,0.0002056826,0.0004695144,0.775833],"study_design_scores_gemma":[0.00245297,0.003489529,0.7168245,0.0005996586,0.0002051357,0.00174941,0.01575594,0.02287689,0.2056664,0.0006262615,0.02928753,0.0004658569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908894,0.0005492952,0.001857293,0.004112299,0.0003161227,0.0003027663,0.00001726575,0.0003254291,0.001630187],"genre_scores_gemma":[0.9875833,0.0004652013,0.0111199,0.00004172256,0.00006048644,0.00004944162,0.0000613587,0.00001408066,0.0006045163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7753671,"threshold_uncertainty_score":0.6074916,"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."}}