{"id":"W4416647774","doi":"10.2196/71338","title":"Application of Mixed Reality for Ophthalmic Clinical Skills and Diagnosis: Prospective Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Ophthalmology and Visual Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prospective cohort study; Mixed reality; MEDLINE; Multimethodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001740462,0.00008011222,0.0003202046,0.0001125541,0.00007452037,0.000003626189,0.0000822491,0.0002325102,0.00004641105],"category_scores_gemma":[0.003268967,0.00006641389,0.00004976905,0.0002635826,0.0002135251,0.0000323659,0.00004058432,0.0002981528,0.00000400006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006672132,"about_ca_system_score_gemma":0.00174833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009111814,"about_ca_topic_score_gemma":0.000009382679,"domain_scores_codex":[0.9985083,0.0002066212,0.0005187294,0.000330705,0.0002769832,0.0001586161],"domain_scores_gemma":[0.998273,0.000817381,0.0001042506,0.0002528073,0.0003173978,0.0002351612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003450791,0.01204916,0.8775103,0.0005832242,0.00004333499,9.36625e-7,0.0002468263,9.293806e-9,0.000004080814,0.00148566,0.002605814,0.1051256],"study_design_scores_gemma":[0.00190717,0.001605926,0.9923064,0.000199315,0.00005614099,0.00001287501,0.0005792414,0.00009640768,0.00007691619,0.002351111,0.0007653643,0.00004320292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876505,0.0002519316,0.0002887852,0.006500925,0.0003380804,0.00452463,0.000003995591,0.00001771012,0.0004234388],"genre_scores_gemma":[0.993919,0.00008342188,0.0001991923,0.0003442148,0.000206481,0.004808524,0.00003531237,0.000006600572,0.0003973001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114796,"threshold_uncertainty_score":0.3913495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08202996229566745,"score_gpt":0.6045302141493858,"score_spread":0.5225002518537183,"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."}}