{"id":"W2554078193","doi":"10.1159/000449001","title":"Identifying Predictors of Anti-VEGF Treatment Response in Patients with Neovascular Age-Related Macular Degeneration through Discriminant and Principal Component Analysis","year":2016,"lang":"en","type":"article","venue":"Ophthalmic Research","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Macular degeneration; Visual acuity; Ranibizumab; Medicine; Ophthalmology; Aura; Internal medicine; Bevacizumab","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":[0.0005167558,0.000191359,0.0004888992,0.0004964325,0.0001029972,0.00002786827,0.00008160514,0.00007675253,0.00006540438],"category_scores_gemma":[0.00008285649,0.0001034049,0.0001647689,0.0007620185,0.0002499385,0.0001378733,0.00007616953,0.00009277115,0.000006661372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533365,"about_ca_system_score_gemma":0.0001072785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005668973,"about_ca_topic_score_gemma":0.00001484158,"domain_scores_codex":[0.997335,0.0004817347,0.0003894629,0.0004822421,0.0009280247,0.0003834945],"domain_scores_gemma":[0.9989405,0.0001275923,0.00008761168,0.0004787447,0.0001943528,0.000171194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00486041,0.001220504,0.980602,0.00005962187,0.001465449,0.000832384,0.0005191775,0.00003178064,0.009738998,0.00003390297,0.000002699975,0.0006331276],"study_design_scores_gemma":[0.006357908,0.002377006,0.9861849,0.0003095097,0.0007815572,0.00001635967,0.0001071724,0.0001062728,0.003594972,0.00004067829,0.00001950798,0.0001041853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982874,0.0004182264,0.00003497498,0.0001235928,0.00002242978,0.0009580371,0.00003685903,0.00001005763,0.000108377],"genre_scores_gemma":[0.9988059,0.0003166753,0.0002226643,0.000001787493,0.00001072261,0.00006487226,0.0001337268,0.00002292975,0.0004207183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006144026,"threshold_uncertainty_score":0.4216728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05922099014917583,"score_gpt":0.3651035648107849,"score_spread":0.3058825746616091,"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."}}