{"id":"W4220679072","doi":"10.2147/opth.s347496","title":"Reduction of Artificial Tears and Use of Adjunctive Dry Eye Therapies After Lifitegrast Treatment: Evidence from Clinical and Real-World Studies","year":2022,"lang":"en","type":"article","venue":"Clinical ophthalmology","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novartis Pharma","keywords":"Artificial tears; Reduction (mathematics); Tears; Disease; Adjunctive treatment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01490188,0.0005554392,0.002006309,0.001199759,0.0003653714,0.001395846,0.0008861097,0.001317063,0.002410254],"category_scores_gemma":[0.05171425,0.0003928774,0.00309477,0.001607372,0.001169539,0.0008108446,0.0006873073,0.0008936138,0.0001821858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006206796,"about_ca_system_score_gemma":0.0009685059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009963096,"about_ca_topic_score_gemma":0.002363564,"domain_scores_codex":[0.9825067,0.01003103,0.003248198,0.001042528,0.002943793,0.0002277539],"domain_scores_gemma":[0.8946169,0.06620248,0.03123805,0.002365185,0.004652827,0.0009245588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1709426,0.003473322,0.4174146,0.07474282,0.06772563,0.0001763946,0.001007215,0.00055834,0.001659355,0.0003806011,0.001385928,0.2605331],"study_design_scores_gemma":[0.02970958,0.05047833,0.8382143,0.0166013,0.0477608,0.001166949,0.0009521205,0.0009177448,0.001264524,0.0003576883,0.01244969,0.000126962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5789965,0.4134764,0.0006525328,0.001282601,0.0003075966,0.0007207235,0.001116894,0.00002278068,0.003423853],"genre_scores_gemma":[0.9524437,0.04461661,0.0009527947,0.0005927136,0.0004399055,0.0002246387,0.0005772616,0.000005219644,0.0001471922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01490188,"threshold_uncertainty_score":0.07880962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1978741402699304,"score_gpt":0.4464039363227671,"score_spread":0.2485297960528367,"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."}}