{"id":"W4409153038","doi":"10.1097/iae.0000000000004475","title":"ADAPTIVE OPTICS IN RETINITIS PIGMENTOSA","year":2025,"lang":"en","type":"review","venue":"Retina","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Sunnybrook Health Science Centre; Health Sciences Centre; University of Toronto; Kensington Health; McMaster University","funders":"","keywords":"Retinitis pigmentosa; Ophthalmology; Medicine; Cochrane Library; Eccentricity (behavior); Cone (formal languages); Adaptive optics; Optometry; Meta-analysis; Optics; Computer science; Physics; Retinal; Internal medicine; Psychology; Algorithm","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":[0.00183258,0.001205441,0.003621608,0.009209761,0.00038863,0.001424101,0.001023659,0.001365903,0.003887884],"category_scores_gemma":[0.00375091,0.0005128771,0.002263183,0.005814596,0.0005973986,0.001364793,0.0008054544,0.0008476053,0.0004989918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032865,"about_ca_system_score_gemma":0.002668066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394039,"about_ca_topic_score_gemma":0.006127608,"domain_scores_codex":[0.9990005,0.0002421375,0.0003602506,0.0001240386,0.000224503,0.00004866102],"domain_scores_gemma":[0.99756,0.001706695,0.0004679923,0.00002942388,0.000200252,0.00003568373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001833254,0.00004211782,0.0005351541,0.454906,0.001328851,0.0002368646,0.00009752519,0.0001923983,0.0005375272,0.0008065734,0.004694577,0.5364391],"study_design_scores_gemma":[0.0003142895,0.0006399758,0.01150515,0.609322,0.01610798,0.007613234,0.0005245167,0.0002508875,0.00117293,0.002118084,0.3503166,0.0001143136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006927468,0.9997337,0.00002030849,0.00003589032,0.00002280854,0.000007462596,0.00001234163,0.000001658355,0.00009648245],"genre_scores_gemma":[0.001170534,0.9984117,0.0001867918,0.00008414799,0.00003722294,0.00002020667,0.00002022547,9.97826e-7,0.00006825777],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009209761,"threshold_uncertainty_score":0.01300627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291484228783971,"score_gpt":0.312510426286354,"score_spread":0.2895955839985143,"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."}}