{"id":"W3135428755","doi":"10.1097/ieb.0b013e318188be5c","title":"COMPARISON OF OPTIC DISC MARGIN IDENTIFIED BY COLOR DISC PHOTOGRAPHY AND HIGH-SPEED ULTRAHIGH-RESOLUTION OPTICAL COHERENCE TOMOGRAPHY","year":2008,"lang":"en","type":"article","venue":"Evidence-Based Ophthalmology","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Optical coherence tomography; Queen (butterfly); Reprint; Margin (machine learning); Ophthalmology; Medicine; Optics; Optometry; Physics; Computer science; Biology; Astronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003926344,0.0003567805,0.0009921408,0.0003848801,0.0002136787,0.00002074879,0.0002103708,0.0002896303,0.0005454473],"category_scores_gemma":[0.0004493606,0.0003183272,0.0002846966,0.0008907651,0.001576629,0.0002367553,0.000062664,0.0003693679,0.00001982516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004050698,"about_ca_system_score_gemma":0.000174502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007171273,"about_ca_topic_score_gemma":0.00001105476,"domain_scores_codex":[0.9972162,0.0002607278,0.000778662,0.0006891047,0.0004899828,0.0005653336],"domain_scores_gemma":[0.9973767,0.001325386,0.0002937728,0.0004798199,0.0001757642,0.0003485105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003343489,0.001267912,0.9226113,0.000296718,0.0001246486,0.0005001429,0.0001784181,0.0001368093,0.0682411,0.0003381608,0.002652653,0.0003086601],"study_design_scores_gemma":[0.002821332,0.003090891,0.9542966,0.0006344466,0.0003215208,0.001133879,0.0002442072,0.001732759,0.03487018,0.0002189102,0.0001235276,0.0005117275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921492,0.004537079,0.00051698,0.001123891,0.0003276527,0.0007961104,0.0000380838,0.00007082645,0.0004402146],"genre_scores_gemma":[0.9984372,0.0001278989,0.000861147,0.0001250967,0.00004667176,0.00007217764,0.0001160659,0.00002743153,0.0001863015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03337091,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05915247960356661,"score_gpt":0.3219634662786766,"score_spread":0.2628109866751099,"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."}}