{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003048801,0.0004167474,0.0009491086,0.0002160958,0.0006840353,0.0001182293,0.0007332989,0.0001998781,0.00003889273],"category_scores_gemma":[0.01161523,0.0003455446,0.000225814,0.001422059,0.0006434182,0.001622503,0.0002118887,0.001439039,0.00002098211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004773383,"about_ca_system_score_gemma":0.003468785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.399722,"about_ca_topic_score_gemma":0.1010056,"domain_scores_codex":[0.9944971,0.0008375046,0.001520283,0.0009679118,0.00122938,0.0009478257],"domain_scores_gemma":[0.989624,0.007186926,0.0008296529,0.0009639651,0.0008596431,0.0005357719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001108811,0.0008015319,0.8835563,0.00009492822,0.0005257041,0.0003497984,0.003370453,0.0002310176,0.1045643,0.00447925,0.0002190622,0.0006988718],"study_design_scores_gemma":[0.007926893,0.002721896,0.9340272,0.0003278264,0.001502348,0.00003647352,0.01535695,0.007126532,0.001718111,0.00003776584,0.02842276,0.0007952715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967275,0.000401645,0.0002488802,0.02916632,0.0002398301,0.001170803,0.0001675669,0.00005590799,0.001274109],"genre_scores_gemma":[0.9882468,0.0006556237,0.001094854,0.009709091,0.0001475713,0.00001631681,0.00008562327,0.00003635334,0.000007765392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2987164,"threshold_uncertainty_score":0.9998997,"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."}}