{"id":"W2083394339","doi":"10.1097/00006982-200602000-00001","title":"IMAGING THE RETINA BY EN FACE OPTICAL COHERENCE TOMOGRAPHY","year":2006,"lang":"en","type":"article","venue":"Retina","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optical coherence tomography; Retinal; Retina; Ophthalmoscopy; Confocal; Medicine; Optometry; Ophthalmology; Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002247928,0.0002594089,0.0001223264,0.0006534106,0.0001617081,0.0003268393,0.000148873,0.0003914702,0.001966979],"category_scores_gemma":[0.0004768596,0.0001370509,0.0001154242,0.0001084241,0.0002126362,0.0004459496,0.000195417,0.0003336075,0.0003829023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001797006,"about_ca_system_score_gemma":0.0001790121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004839129,"about_ca_topic_score_gemma":0.00164579,"domain_scores_codex":[0.9999299,0.00002199975,0.000005329416,0.00001280203,0.00001781696,0.00001215809],"domain_scores_gemma":[0.9998659,0.00004653636,0.00001969538,0.00001838318,0.00002873419,0.0000207892],"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":[0.001728838,0.000344831,0.1186578,0.0004235719,0.0001126185,0.01826096,0.0002497096,0.0004851695,0.4730197,0.001022351,0.004770668,0.3809239],"study_design_scores_gemma":[0.0002934358,0.003885641,0.2704187,0.000169557,0.0002758809,0.5406959,0.0003703742,0.007659236,0.1421583,0.0009249651,0.033068,0.00008002832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384663,0.01265643,0.03694725,0.001033195,0.0001348536,0.0001033514,0.0002149949,0.0003227718,0.01012099],"genre_scores_gemma":[0.9191924,0.004911779,0.07079207,0.0005515248,0.0002239457,0.0000620653,0.0002179829,0.00002501569,0.004023213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966979,"threshold_uncertainty_score":0.006580234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005320549498643602,"score_gpt":0.2339392442630083,"score_spread":0.2286186947643647,"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."}}