{"id":"W4206603453","doi":"10.1097/01.opx.0000173819.31792.40","title":"IN THE NEWS","year":2005,"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":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007936335,0.00004448885,0.00007707046,0.0001657472,0.0001859962,0.0000222797,0.00009139452,0.00002069438,0.0000595807],"category_scores_gemma":[0.000133828,0.00002371843,0.00001222464,0.0008889492,0.0003945398,0.0002549381,0.00005590188,0.00009009214,0.00004080034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009970535,"about_ca_system_score_gemma":0.00001525872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003104042,"about_ca_topic_score_gemma":2.711031e-7,"domain_scores_codex":[0.9994107,0.00001709291,0.00008056864,0.0001512346,0.0001991408,0.000141303],"domain_scores_gemma":[0.999732,0.00007406619,0.00001521557,0.0001155459,0.00002095952,0.00004225455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008465237,0.0004847711,0.9643189,0.0000238089,0.000003163459,0.00002119385,0.001489915,8.500707e-7,0.004470746,0.0006997428,0.002653233,0.02574904],"study_design_scores_gemma":[0.0003989103,0.0005371789,0.9903058,0.00002351428,0.000004169821,0.0001429896,0.0005810395,0.0001708311,0.0005215924,0.00004500011,0.007231261,0.00003774045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813783,0.000201982,0.00001567052,0.01055726,0.0000577666,0.00008163128,1.947181e-7,0.000005249016,0.007701899],"genre_scores_gemma":[0.9957895,0.00006393062,0.0003832036,0.003163512,0.00006251549,0.000002541678,1.182546e-7,0.000001049663,0.0005336007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02598689,"threshold_uncertainty_score":0.1453698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499733083763601,"score_gpt":0.5115386771580616,"score_spread":0.4765413463204256,"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."}}