{"id":"W2900825720","doi":"10.2147/opth.s178113","title":"A novel scale for describing corneal staining","year":2018,"lang":"en","type":"article","venue":"Clinical ophthalmology","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Staining; Grading scale; Grading (engineering); Medicine; Positive staining; Ophthalmology; Scale (ratio); Pathology; Surgery; Cartography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007870669,0.0008714168,0.0005018992,0.004827249,0.000911197,0.001927682,0.00157654,0.001339643,0.01141517],"category_scores_gemma":[0.03119728,0.0002943739,0.001517168,0.002698177,0.00106566,0.002850884,0.002556593,0.002002397,0.003126886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110228,"about_ca_system_score_gemma":0.001713287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594935,"about_ca_topic_score_gemma":0.00362736,"domain_scores_codex":[0.9902667,0.003267743,0.00160347,0.0005841124,0.003960718,0.0003173086],"domain_scores_gemma":[0.9844527,0.0059495,0.002011233,0.0009781613,0.006034398,0.0005740073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001236801,0.001141713,0.08137824,0.00225809,0.0004671257,0.0007887112,0.006680874,0.001799839,0.02116473,0.03797083,0.1223726,0.7227404],"study_design_scores_gemma":[0.0007349909,0.005053521,0.2854632,0.002326699,0.000520585,0.01102208,0.01092674,0.01620806,0.01008238,0.03933749,0.6174079,0.0009162349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2688118,0.008419937,0.4032787,0.006877963,0.007560722,0.01936463,0.01537585,0.00373398,0.2665765],"genre_scores_gemma":[0.3823624,0.003797902,0.5660493,0.002787158,0.0009529911,0.01358449,0.005420734,0.0003826574,0.02466235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01141517,"threshold_uncertainty_score":0.04162461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2033332971784349,"score_gpt":0.4243064732366443,"score_spread":0.2209731760582094,"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."}}