{"id":"W2791627351","doi":"10.1097/icl.0000000000000496","title":"Ocular Impression-Taking—Which Material Is Best?","year":2018,"lang":"en","type":"article","venue":"Eye & Contact Lens Science & Clinical Practice","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine; Ophthalmology; Impression; Visual acuity; Staining; Surgery; Pathology","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":[0.001601425,0.0006662935,0.001102846,0.0003980656,0.0003721213,0.0006872651,0.0003619881,0.001059252,0.005317247],"category_scores_gemma":[0.002431042,0.0001739832,0.0005370977,0.000246331,0.0004024741,0.0006012709,0.00021201,0.0006928956,0.0008406726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624725,"about_ca_system_score_gemma":0.0002913378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003821606,"about_ca_topic_score_gemma":0.001079156,"domain_scores_codex":[0.9993906,0.0002079312,0.00005892935,0.00007637392,0.0002113626,0.00005480565],"domain_scores_gemma":[0.9986355,0.000535658,0.0004267979,0.00006693282,0.000138573,0.0001966128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.07935259,0.007207381,0.04583716,0.009288373,0.0007102628,0.00236579,0.0007793411,0.0002033196,0.14713,0.0002803705,0.004622979,0.7022225],"study_design_scores_gemma":[0.01304849,0.4013797,0.3664141,0.004345117,0.004378862,0.02014167,0.005109154,0.003100219,0.1385399,0.0008346746,0.042261,0.0004471912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323592,0.05700576,0.001804176,0.001765092,0.0009004237,0.0004155189,0.00019361,0.0001778564,0.00537844],"genre_scores_gemma":[0.9717245,0.01391757,0.008715346,0.001304663,0.001068959,0.0001399473,0.0001640996,0.00003556849,0.002929294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005317247,"threshold_uncertainty_score":0.01778793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06238705107802672,"score_gpt":0.4349810503266455,"score_spread":0.3725939992486187,"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."}}