{"id":"W2046094903","doi":"10.1097/opx.0b013e3181ce07f1","title":"The Conversion of Bulbar Redness Grades Using Psychophysical Scaling","year":2010,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; St. Jerome's University","funders":"University of Waterloo","keywords":"Scaling; Grading (engineering); Statistics; Mathematics; Range (aeronautics); Grading scale; Scale (ratio); Psychology; Spearman's rank correlation coefficient; Medicine; Geometry; Surgery; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009377327,0.00004826637,0.0001010989,0.0001686694,0.0003334418,0.0000430147,0.0001014405,0.00003849931,0.00001337887],"category_scores_gemma":[0.000385092,0.00002907348,0.00003166048,0.000870658,0.0008493171,0.000155084,0.00005052099,0.0001315222,0.00000151428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007521149,"about_ca_system_score_gemma":0.00004957588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004602134,"about_ca_topic_score_gemma":5.093822e-8,"domain_scores_codex":[0.9992057,0.00001204719,0.0001304022,0.0001525145,0.0003870447,0.0001123064],"domain_scores_gemma":[0.9994095,0.0001257432,0.00005275043,0.0001616378,0.0001560064,0.00009438951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004571336,0.0000370208,0.01083195,0.00001199369,0.000001218794,8.705974e-7,0.00005912267,1.797404e-7,0.9592818,0.001086177,0.00007493571,0.02856904],"study_design_scores_gemma":[0.0004882284,0.0001675641,0.1102524,0.0001743835,0.00001152392,0.00003806937,0.0003435492,0.01529947,0.8552768,0.0003612907,0.01745109,0.0001356501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975404,0.00002396102,0.0007503109,0.0006985687,0.0002885194,0.00006783831,6.642578e-7,0.00001893245,0.0006107988],"genre_scores_gemma":[0.9976341,0.00003936878,0.002105229,0.000151586,0.00001519295,5.787078e-7,2.588054e-7,0.00000248179,0.00005123975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104005,"threshold_uncertainty_score":0.3129344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968529490211713,"score_gpt":0.4638191101081353,"score_spread":0.4441338152060181,"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."}}