{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003382116,0.00115008,0.0009313776,0.00463192,0.0004005217,0.001723213,0.001232552,0.001719036,0.003119406],"category_scores_gemma":[0.01916517,0.0003581303,0.0006772365,0.00164874,0.0004755576,0.001372139,0.0009360558,0.000452497,0.0009736249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745101,"about_ca_system_score_gemma":0.0005339139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003212107,"about_ca_topic_score_gemma":0.003576294,"domain_scores_codex":[0.9957055,0.001480982,0.0003236353,0.000760601,0.001503811,0.00022545],"domain_scores_gemma":[0.9698481,0.01838677,0.001473958,0.001847192,0.007866215,0.0005778155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03047885,0.002118653,0.3753956,0.001658341,0.002108471,0.0006116558,0.001127985,0.008042968,0.06910278,0.001535594,0.00520139,0.5026177],"study_design_scores_gemma":[0.001319252,0.00961215,0.8671589,0.0002441449,0.001407644,0.004384337,0.0008966628,0.05755251,0.05082643,0.001137566,0.005123139,0.0003371596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332923,0.003934941,0.04860633,0.0002032065,0.0006738859,0.0003130047,0.003032485,0.001554132,0.008389691],"genre_scores_gemma":[0.9726265,0.0007550311,0.02135609,0.0002886943,0.0002244587,0.000157952,0.00190464,0.0002175275,0.002469024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00463192,"threshold_uncertainty_score":0.01788658,"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."}}