{"id":"W791250446","doi":"","title":"A Comparison of Two Automated Tests of Refractive Error","year":2014,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Refractive error; Computer science; Optometry; Ophthalmology; Medicine","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":[0.0009033087,0.0001519139,0.0004356448,0.0002593498,0.0001044126,0.00001207415,0.0002440976,0.0001175281,0.00002651463],"category_scores_gemma":[0.0008007386,0.000135247,0.00004784938,0.001165416,0.001578029,0.0002268517,0.00005974819,0.0002035387,0.00002193074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007472599,"about_ca_system_score_gemma":0.00009369627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001744717,"about_ca_topic_score_gemma":0.000003318481,"domain_scores_codex":[0.9984643,0.0001711014,0.0004887042,0.0002616168,0.0003445931,0.0002697131],"domain_scores_gemma":[0.9988637,0.0002730246,0.0002629257,0.0001929622,0.0002772793,0.0001300985],"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":[0.00001023225,0.00004083029,0.02011321,0.00002088242,0.00001224505,0.000002217354,0.0006897621,0.00391678,0.9746672,0.0001300174,0.00004563708,0.0003509899],"study_design_scores_gemma":[0.0002902325,0.0006719825,0.06708904,0.00007174722,0.000008711852,0.00003291653,0.0001937655,0.1132466,0.8177047,0.0005474105,0.00001913215,0.0001237803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948419,0.00001954092,0.00005732841,0.000008788153,0.0004999174,0.0001838371,0.000004743954,0.0001627174,0.00422122],"genre_scores_gemma":[0.9992043,1.366204e-7,0.0007059423,0.000005921301,0.00004398244,0.00001190086,9.941048e-7,0.00001202171,0.00001474605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1569625,"threshold_uncertainty_score":0.5814313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06918542538702831,"score_gpt":0.3987916459203465,"score_spread":0.3296062205333182,"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."}}