{"id":"W2946360532","doi":"10.1097/ijg.0000000000001267","title":"Disease-specific Preference-based Measure of Glaucoma Health States: HUG-5 Psychometric Validation","year":2019,"lang":"en","type":"article","venue":"Journal of Glaucoma","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prism Eye Institute; University of Toronto; McMaster University; Impact","funders":"","keywords":"Medicine; Glaucoma; Measure (data warehouse); Disease; Preference; Psychometrics; Clinical psychology; Ophthalmology; Statistics; Data mining; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00535272,0.0003281613,0.0004058525,0.001157689,0.0002887994,0.0004891411,0.0004874509,0.0006056484,0.00325134],"category_scores_gemma":[0.01824665,0.0001513672,0.001595216,0.0009046144,0.0004693694,0.0006414962,0.0009721636,0.0006263562,0.0003693815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404681,"about_ca_system_score_gemma":0.0005480787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009460227,"about_ca_topic_score_gemma":0.001507911,"domain_scores_codex":[0.9973009,0.001191756,0.0003605884,0.0001658191,0.0008561168,0.0001248549],"domain_scores_gemma":[0.9905786,0.004609516,0.002264888,0.0007119137,0.001414662,0.0004204108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001290948,0.0006361692,0.9413759,0.0002098456,0.0004409474,0.00004999198,0.0003498419,0.001958373,0.0004531087,0.0006022649,0.001380695,0.05125201],"study_design_scores_gemma":[0.0003533614,0.003099997,0.9848118,0.000123924,0.0001377319,0.0003306052,0.0003292968,0.006660557,0.0005149003,0.0009325178,0.0026638,0.00004156844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857261,0.0004766952,0.004436473,0.0001757317,0.00005310183,0.001568707,0.002991011,0.00005477028,0.004517483],"genre_scores_gemma":[0.9924349,0.0001116884,0.004645198,0.0001175727,0.00001827607,0.0008656222,0.001494048,0.000006547439,0.0003062674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00535272,"threshold_uncertainty_score":0.02830821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08885653996957164,"score_gpt":0.341997810515792,"score_spread":0.2531412705462204,"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."}}