{"id":"W2328288215","doi":"10.1097/00006324-200012001-00319","title":"(BV-107)MANAGEMENT OF OPTICALLY INDUCED ANISOPHORIA","year":2000,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005870532,0.00008781994,0.0001914156,0.0001734313,0.0002053933,0.00001707873,0.0001134009,0.00004480747,0.0004378936],"category_scores_gemma":[0.00003529487,0.00006490142,0.00002891524,0.00105587,0.0005384089,0.000168149,0.0001048864,0.00008272974,0.00004342846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001292881,"about_ca_system_score_gemma":0.00002012473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001518255,"about_ca_topic_score_gemma":7.924283e-9,"domain_scores_codex":[0.9989656,0.00001377211,0.0001817444,0.0002822168,0.0003481745,0.0002084713],"domain_scores_gemma":[0.9995394,0.00003448279,0.00003363965,0.0001920231,0.00006978767,0.0001306656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00175002,0.003206684,0.5845922,0.00092816,0.0002018839,0.000189171,0.001288271,0.000003360989,0.1353889,0.00443719,0.000350642,0.2676635],"study_design_scores_gemma":[0.0008400035,0.002355207,0.9905466,0.000174791,0.0000374993,0.00005575908,0.0003138866,0.0001235146,0.005218124,0.00007495197,0.0001743392,0.00008530133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802301,0.0001141779,0.00001908491,0.0003205996,0.00009886186,0.0001427874,9.274205e-7,0.00001556794,0.01905788],"genre_scores_gemma":[0.9966935,0.0001897182,0.002122348,0.0001048048,0.00001939,0.000003083239,4.990353e-7,0.000003264587,0.0008634159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4059544,"threshold_uncertainty_score":0.4794628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049587624607955,"score_gpt":0.4817744494733602,"score_spread":0.4512785732272806,"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."}}