{"id":"W751538438","doi":"","title":"A New Method For Testing Letter Contrast Sensitivity In A Clinical Setting: Comparing M&S Smart System II Letter Contrast Test With Pelli-robson Chart","year":2012,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Contrast (vision); Test (biology); Chart; Sensitivity (control systems); Medicine; Statistics; Mathematics; Artificial intelligence; Computer science; Engineering","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":[0.00417542,0.0007615922,0.00104064,0.004278385,0.0005867531,0.001515477,0.001102991,0.001424919,0.002495905],"category_scores_gemma":[0.0190734,0.0005433811,0.0007990223,0.001822519,0.000685542,0.002195211,0.001538315,0.0009600698,0.0008754614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007863509,"about_ca_system_score_gemma":0.001083115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057925,"about_ca_topic_score_gemma":0.007250878,"domain_scores_codex":[0.9915379,0.002960217,0.0008326886,0.001179865,0.003258982,0.0002303181],"domain_scores_gemma":[0.9829687,0.008376228,0.001816217,0.0009719068,0.005248627,0.0006182003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01085173,0.0009788318,0.6017612,0.000705857,0.0006174304,0.0008544801,0.0006783543,0.001607278,0.06526741,0.001012029,0.005736139,0.3099292],"study_design_scores_gemma":[0.001390913,0.01572932,0.8328398,0.0002335458,0.001340764,0.01765731,0.001351499,0.04477736,0.06944835,0.001215044,0.01347222,0.0005437383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8578553,0.006392239,0.1124815,0.001332631,0.001800254,0.001210371,0.002795923,0.002510154,0.01362159],"genre_scores_gemma":[0.8820753,0.001451007,0.1111104,0.0007560421,0.0004388085,0.0004470486,0.0007629801,0.0002223483,0.002736132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004278385,"threshold_uncertainty_score":0.02208203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1662864983161438,"score_gpt":0.4847554165248679,"score_spread":0.3184689182087241,"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."}}