{"id":"W3113368815","doi":"10.1097/icl.0000000000000761","title":"Frequency of Contact Lens Complications Between Contact Lens Wearers Using Multipurpose Solutions Versus Hydrogen Peroxide in the United States and Canada","year":2020,"lang":"en","type":"article","venue":"Eye & Contact Lens Science & Clinical Practice","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contact lens; Hydrogen peroxide; Exact test; Medicine; Complication; Chi-square test; Keratitis; Univariate analysis; Optometry; Surgery; Multivariate analysis; Ophthalmology; Internal medicine; Mathematics; Chemistry; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004284355,0.0001916941,0.0002801076,0.002195484,0.001023178,0.0008763687,0.000668977,0.0003066428,0.001582142],"category_scores_gemma":[0.002978605,0.0002568925,0.0003808188,0.003209792,0.0004534512,0.0003547937,0.0004896394,0.0003475318,0.0001239146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006946436,"about_ca_system_score_gemma":0.005633667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8409914,"about_ca_topic_score_gemma":0.8543944,"domain_scores_codex":[0.9989957,0.00007692337,0.0001498622,0.0001414534,0.0004397362,0.000196438],"domain_scores_gemma":[0.9959199,0.0003976048,0.001490934,0.00006040824,0.00145408,0.0006770052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005628026,0.00001483996,0.9974275,0.00002172555,0.00002643302,0.0001213254,0.0001244228,0.00002237039,0.00008787101,0.00001230457,0.0002190966,0.001865706],"study_design_scores_gemma":[0.000003907524,0.00003596354,0.9988703,0.00001428243,0.00001319327,0.0002471388,0.0004598202,0.0000740144,0.00006191464,0.000004059607,0.000211045,0.000004228754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962524,0.0007440895,0.00004947144,0.00007646788,0.000005450124,0.00002433499,0.001766278,0.000008051858,0.001073464],"genre_scores_gemma":[0.9983535,0.0005760197,0.00006793235,0.00005372185,0.00000481281,0.000008284437,0.0007192707,0.000003144772,0.000213544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1590086,"threshold_uncertainty_score":0.31989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576449373509021,"score_gpt":0.3947501980025701,"score_spread":0.237105260651668,"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."}}