{"id":"W3088891830","doi":"10.1097/opx.0000000000001556","title":"Scleral Contact Lenses: Past and Future","year":2020,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scleral lens; Contact lens; Optometry; Lens (geology); Ophthalmology; Medicine; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000221365,0.00008699005,0.0001601874,0.00009139879,0.0001868767,0.00009660061,0.00007270656,0.00004145843,0.00006172292],"category_scores_gemma":[0.00005392444,0.00006326369,0.0000248296,0.0007290184,0.000164993,0.0003230717,0.00008642689,0.0001274599,0.00002078394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008133657,"about_ca_system_score_gemma":0.00004037432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000221029,"about_ca_topic_score_gemma":8.773212e-8,"domain_scores_codex":[0.9990829,0.00001155044,0.00009998037,0.0003181106,0.0003095245,0.0001779784],"domain_scores_gemma":[0.9994209,0.00002422337,0.00002784075,0.000126546,0.00006479157,0.0003357419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002179325,0.00005141059,0.6848338,0.0001105415,0.00001269895,0.00005102562,0.0008831579,1.486715e-7,0.179653,0.0007722637,0.0001792493,0.1332348],"study_design_scores_gemma":[0.001053772,0.0009451057,0.9599419,0.00006595339,0.00002003085,0.00002467327,0.001065779,0.0005023211,0.003754712,0.000006295124,0.03248949,0.0001300076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896181,0.0007159712,0.0001205503,0.00782485,0.00009630159,0.00009780601,0.000002471314,0.00002697151,0.001497023],"genre_scores_gemma":[0.9957499,0.0003231731,0.0005394443,0.003087296,0.0002287777,7.006899e-7,9.160719e-7,0.000004501377,0.0000653022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2751081,"threshold_uncertainty_score":0.2579818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567827467026484,"score_gpt":0.3705201463453625,"score_spread":0.3548418716750976,"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."}}