{"id":"W2738432189","doi":"","title":"Quality of Life Among Glaucoma Patients: Key Clinical and Demographic Variables","year":2017,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Glaucoma; Key (lock); Medicine; Quality (philosophy); Quality of life (healthcare); Optometry; Ophthalmology; Computer science; Nursing; Computer security","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":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01260442,0.0001876334,0.0006153279,0.0002061447,0.003874999,0.00003833461,0.001014706,0.0003484304,0.0001392808],"category_scores_gemma":[0.04139092,0.0001530952,0.00006323886,0.0004332396,0.02385559,0.0005707192,0.0009440465,0.001040948,0.00003547542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000468841,"about_ca_system_score_gemma":0.002317711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003687966,"about_ca_topic_score_gemma":0.00007119989,"domain_scores_codex":[0.9937861,0.002578966,0.001233583,0.0007324057,0.0006689164,0.00100005],"domain_scores_gemma":[0.9931384,0.002831121,0.001078815,0.0006856325,0.0009084605,0.001357586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006623354,0.0001315432,0.9945253,0.0001355388,0.00001183338,0.00000578067,0.0006669285,6.14765e-8,0.002575951,0.001501269,0.0001040578,0.000275534],"study_design_scores_gemma":[0.0009199234,0.0004982861,0.9865317,0.000139199,0.000004905711,9.229086e-7,0.0002646802,0.00009277035,0.000263747,0.01109557,0.00004555163,0.0001426895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99222,0.00004072726,0.000003854766,0.0008607641,0.0006034858,0.0006882426,0.00001928127,0.00002357226,0.005540081],"genre_scores_gemma":[0.9984007,0.00002229968,0.0007164616,0.0005378175,0.0001203994,0.0000555352,0.000003508844,0.00001222477,0.0001309839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0287865,"threshold_uncertainty_score":0.9974218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1759796230875366,"score_gpt":0.530102166388307,"score_spread":0.3541225433007704,"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."}}