{"id":"W3165187115","doi":"10.1007/s40123-021-00352-3","title":"Seeing Beyond Anatomy: Quality of Life with Geographic Atrophy","year":2021,"lang":"en","type":"article","venue":"Ophthalmology and Therapy","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada; Canadian Patient Safety Institute; CNIB Foundation","funders":"Boehringer Ingelheim","keywords":"Quality of life (healthcare); Medicine; Geographic atrophy; Qualitative research; Quality (philosophy); Disease; Blindness; Gerontology; Psychology; Internet privacy; Macular degeneration; Nursing; Optometry; Pathology; Psychiatry; Sociology; 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":[],"consensus_categories":[],"category_scores_codex":[0.00005866327,0.0000962453,0.0002886858,0.00004025351,0.00005090545,0.000005371316,0.00002311093,0.00006311313,0.0002192883],"category_scores_gemma":[0.00001225061,0.00006675319,0.00006791139,0.0001231975,0.0001404161,0.00002453771,0.00001174096,0.00006879603,0.000001782254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003387611,"about_ca_system_score_gemma":0.00007782813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009251013,"about_ca_topic_score_gemma":5.053455e-7,"domain_scores_codex":[0.9993776,0.00008064834,0.0001372939,0.0001883151,0.00009316717,0.000122976],"domain_scores_gemma":[0.9995145,0.00005118535,0.00006339953,0.0001785877,0.00008406382,0.000108219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001550674,0.0003381816,0.9922943,0.00004591057,0.0004598399,0.00116718,0.00003346298,0.000001218799,0.0007354491,0.001568865,0.000004662116,0.001800311],"study_design_scores_gemma":[0.002757281,0.0009207773,0.9935337,0.00002092451,0.00005071115,0.0009963928,0.00007210242,0.000004130281,0.0003304396,0.001001522,0.0002429822,0.00006907139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712457,0.02501482,0.000004026767,0.0003066738,0.00003533706,0.0001035723,0.00001052958,0.000008137775,0.003271216],"genre_scores_gemma":[0.9976293,0.001743758,0.0002089841,0.0001727286,0.00002429002,0.000008677439,0.00002843052,0.000009263272,0.0001745999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02638358,"threshold_uncertainty_score":0.2722116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572274058894813,"score_gpt":0.330579984253188,"score_spread":0.3048572436642399,"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."}}