{"id":"W2519571182","doi":"10.1016/j.clae.2016.09.002","title":"A sixteen year survey of Canadian contact lens prescribing","year":2016,"lang":"en","type":"article","venue":"Contact Lens and Anterior Eye","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contact lens; Silicone hydrogel; Lens (geology); Medicine; Optometry; Silicone; Ophthalmology; Materials science; Engineering","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":[0.001039442,0.0004144589,0.0004725203,0.002501673,0.004300386,0.001795658,0.001511863,0.001418532,0.005303178],"category_scores_gemma":[0.005148963,0.0007510465,0.0007886201,0.009159105,0.0007801641,0.0009518325,0.001320016,0.001338307,0.0008739784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03331087,"about_ca_system_score_gemma":0.05030888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932853,"about_ca_topic_score_gemma":0.9964415,"domain_scores_codex":[0.9978209,0.0001459223,0.0002657262,0.0002089469,0.0008768835,0.0006816351],"domain_scores_gemma":[0.9921383,0.0004680023,0.001793742,0.0001512937,0.003704137,0.00174451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001354409,0.0001141763,0.9881693,0.0001012129,0.00005086746,0.0002074186,0.003108403,0.00006026723,0.0001451688,0.0001183602,0.003267088,0.004522291],"study_design_scores_gemma":[0.000007572933,0.00003818439,0.9940532,0.00004982303,0.00001245625,0.0001110817,0.003511943,0.00007359511,0.0000280243,0.00001152242,0.002084634,0.00001787764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791877,0.001221211,0.00006089505,0.001392597,0.00002480226,0.00008174282,0.01145428,0.00001438125,0.00656246],"genre_scores_gemma":[0.9875019,0.002256317,0.0002418884,0.001092809,0.00001929786,0.0000654059,0.004538965,0.0000106822,0.004272864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03331087,"threshold_uncertainty_score":0.2416884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082693359705558,"score_gpt":0.2535854863888303,"score_spread":0.2227585527917748,"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."}}