{"id":"W934378739","doi":"","title":"Methodology of Retinal Thickness Measurement With the SLO","year":2005,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Retinal; Ophthalmology; Optometry; Medicine; Computer science","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":[0.0050168,0.0008172055,0.0006548373,0.00220023,0.001047847,0.001075015,0.0007453894,0.0005406847,0.003955952],"category_scores_gemma":[0.005897962,0.0007102022,0.0006436055,0.001442937,0.0007968874,0.0006334816,0.001208532,0.001077021,0.001311338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338775,"about_ca_system_score_gemma":0.002177303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319216,"about_ca_topic_score_gemma":0.002350273,"domain_scores_codex":[0.9964746,0.001233183,0.0004137811,0.0008224215,0.0008591944,0.0001968801],"domain_scores_gemma":[0.9960386,0.0008381159,0.000462284,0.001126132,0.00134893,0.0001859794],"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":[0.001651232,0.0002770478,0.05927839,0.001258256,0.0002869744,0.0004110927,0.001584832,0.002569415,0.5799839,0.008917502,0.002649367,0.341132],"study_design_scores_gemma":[0.0002723235,0.004644851,0.1702898,0.0003703351,0.001368442,0.009182393,0.001072283,0.05412121,0.6920499,0.008115378,0.0580729,0.0004402325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1165606,0.001147722,0.8713988,0.0001575648,0.0001630146,0.001264723,0.0008213602,0.00239821,0.006087971],"genre_scores_gemma":[0.2202976,0.0008617357,0.7733787,0.0001833006,0.00008520675,0.001742139,0.0005277946,0.0005133902,0.002410203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0050168,"threshold_uncertainty_score":0.0265317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305649191076592,"score_gpt":0.3948972565163881,"score_spread":0.2643323374087289,"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."}}