{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009304315,0.0008163867,0.0007601691,0.001700043,0.001187354,0.001286426,0.0006306896,0.001354039,0.004153551],"category_scores_gemma":[0.01291501,0.001163777,0.001178463,0.001004791,0.001165989,0.001471344,0.001580209,0.001196143,0.001605555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781896,"about_ca_system_score_gemma":0.002207807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155746,"about_ca_topic_score_gemma":0.001375755,"domain_scores_codex":[0.9916229,0.004974613,0.0006324766,0.000660061,0.001349042,0.0007609806],"domain_scores_gemma":[0.9885427,0.004637582,0.002693404,0.001250493,0.001380484,0.001495273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01213338,0.1178932,0.7930855,0.001238456,0.0003855174,0.0008661999,0.006693943,0.0002854775,0.002620379,0.0003058563,0.0006030599,0.06388901],"study_design_scores_gemma":[0.003872189,0.3928122,0.5847182,0.0004699969,0.000507183,0.001896103,0.008065417,0.0009375809,0.001962148,0.0001869887,0.004431415,0.0001405078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968656,0.0006545039,0.0004620146,0.0000495962,0.00001228681,0.001196185,0.00008310777,0.000008251935,0.0006685917],"genre_scores_gemma":[0.9955043,0.0008506614,0.001348879,0.000182497,0.0000313456,0.001507163,0.0001109094,0.000006182072,0.0004580515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009304315,"threshold_uncertainty_score":0.0492065,"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."}}