{"id":"W2917969877","doi":"","title":"Clinical retinal imaging with Sensorless Adaptive Optics OCT and Angiography","year":2018,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Adaptive optics; Retinal; Ophthalmology; Medicine; Angiography; Optics; Radiology; Physics","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":[0.001910726,0.001186024,0.0008741715,0.00389624,0.001368034,0.0007652332,0.0009106182,0.00250238,0.004793795],"category_scores_gemma":[0.005140845,0.000675621,0.0007332661,0.001401476,0.001557673,0.001858337,0.0009314292,0.00176014,0.000748296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007136209,"about_ca_system_score_gemma":0.001345209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504292,"about_ca_topic_score_gemma":0.00264946,"domain_scores_codex":[0.998601,0.00037973,0.0002542436,0.0002465073,0.0003593864,0.000159076],"domain_scores_gemma":[0.9987497,0.0003872502,0.00006049109,0.0002416731,0.0003725794,0.0001882927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0119764,0.003036385,0.2612023,0.001030421,0.000393248,0.4533452,0.001864829,0.003396483,0.1196377,0.006660984,0.01263019,0.124826],"study_design_scores_gemma":[0.0006826493,0.004167831,0.2587706,0.0003468578,0.0002551997,0.6585411,0.0009235711,0.01380759,0.040149,0.006453333,0.01562475,0.0002776138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625202,0.007392181,0.03394818,0.007960154,0.0007814582,0.003371836,0.002171594,0.0006937804,0.08116063],"genre_scores_gemma":[0.9704646,0.0017877,0.02116935,0.001832895,0.0004308871,0.000287233,0.0003365792,0.00008822555,0.003602446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004793795,"threshold_uncertainty_score":0.01603681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05237724823790636,"score_gpt":0.3803980920965285,"score_spread":0.3280208438586221,"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."}}