{"id":"W4410706078","doi":"10.1016/j.oret.2025.04.012","title":"Re: Griffin et al.: Pneumatic retinopexy for rhegmatogenous retinal detachment outcomes: IRIS® Registry (Intelligent Research in Sight) analysis (Ophthalmol Retina. 2025;9:437-443)","year":2025,"lang":"en","type":"letter","venue":"Ophthalmology Retina","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Ophthalmology; Retinal detachment; IRIS (biosensor); Retina; Retinal Tear; Retinal; Optometry; Artificial intelligence; Optics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.01092232,0.002057904,0.005704773,0.004377257,0.0005967502,0.0002299011,0.001868028,0.003595338,0.001678431],"category_scores_gemma":[0.003970213,0.00182783,0.00297869,0.004332227,0.001060475,0.000140438,0.001049074,0.009880279,0.0003313474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478532,"about_ca_system_score_gemma":0.001805672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009537813,"about_ca_topic_score_gemma":0.00001914312,"domain_scores_codex":[0.981182,0.00447892,0.003864683,0.004073718,0.002811562,0.00358913],"domain_scores_gemma":[0.9855959,0.006344805,0.001544017,0.004488236,0.00146657,0.000560498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001510392,0.0007829006,0.197299,0.003752874,0.003280238,0.04615431,0.0002508091,0.00001739049,0.0001718977,0.00009220988,0.7464843,0.0002035854],"study_design_scores_gemma":[0.003233948,0.00321545,0.0222041,0.005776293,0.006029622,0.01571436,0.000845794,0.0003021136,0.0007233502,0.00263765,0.9363282,0.002989156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1367363,0.003145179,0.0002543945,0.8110949,0.001620467,0.007473296,0.0003919398,0.0002427826,0.03904072],"genre_scores_gemma":[0.2082997,0.003846739,0.01111401,0.5036845,0.002747195,0.009487966,0.01675576,0.001185238,0.2428789],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3074104,"threshold_uncertainty_score":0.9992342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202004279586487,"score_gpt":0.4274068396032151,"score_spread":0.3072064116445664,"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."}}