{"id":"W3179725962","doi":"","title":"Automated Machine Learning Prediction of Visual Acuity from Preoperative OCT Images After Macular Hole Surgery","year":2021,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université Laval","funders":"","keywords":"Visual acuity; Medicine; Ophthalmology; Macular hole; Optometry; Surgery; Vitrectomy","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":[0.0004261404,0.000391679,0.0004461946,0.001085504,0.0001543099,0.0005708229,0.000414306,0.0005411372,0.0007647139],"category_scores_gemma":[0.002955408,0.0001788565,0.0004018961,0.0003462897,0.0001240668,0.0003503795,0.0002654438,0.0005070869,0.0003605338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003555029,"about_ca_system_score_gemma":0.0005304382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006264539,"about_ca_topic_score_gemma":0.007478096,"domain_scores_codex":[0.9998038,0.00004277745,0.00001911397,0.00004391048,0.00004181002,0.00004855953],"domain_scores_gemma":[0.9985613,0.0007278394,0.0001794692,0.00009090095,0.0003670228,0.00007343489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002878029,0.001242811,0.3070541,0.0001657038,0.000269747,0.0008214305,0.00009787207,0.1564938,0.01957715,0.000467355,0.00824793,0.5026841],"study_design_scores_gemma":[0.00002160072,0.0002015953,0.0665063,0.00001774163,0.00003547667,0.0002291885,0.000036435,0.9271975,0.004989359,0.0004677305,0.0002780593,0.00001905446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661357,0.0008781296,0.02991323,0.0002639328,0.0001183691,0.00004585173,0.001171379,0.0006063062,0.0008670155],"genre_scores_gemma":[0.9934315,0.0001294597,0.00510299,0.00002911264,0.00003701233,0.00001458232,0.000829126,0.0000129706,0.0004131733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006264539,"threshold_uncertainty_score":0.01245612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983719282581518,"score_gpt":0.3388221158356846,"score_spread":0.3089849230098695,"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."}}