{"id":"W2895925819","doi":"10.1364/ol.43.005162","title":"Visible light sensorless adaptive optics for retinal structure and fluorescence imaging","year":2018,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Alzheimer Society Research Program; National Research Foundation of Korea; Michael Smith Health Research BC","keywords":"Optical coherence tomography; Optics; Supercontinuum; Adaptive optics; Fluorescence-lifetime imaging microscopy; Materials science; Coherence (philosophical gambling strategy); Retinal; Visible spectrum; Fluorescence; Physics; Wavelength; Photonic-crystal fiber; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006113608,0.0001817857,0.0001414117,0.00008621933,0.0001353527,0.00009540999,0.0001637715,0.00005669639,0.00001235702],"category_scores_gemma":[0.00002081812,0.0001890718,0.0000417538,0.0002176862,0.0002206295,0.0001252329,0.00003661905,0.0001726445,0.00000946719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002852833,"about_ca_system_score_gemma":0.000007548084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001660903,"about_ca_topic_score_gemma":0.000001979887,"domain_scores_codex":[0.9990988,0.000008537798,0.000169013,0.0002495087,0.0001275323,0.0003465505],"domain_scores_gemma":[0.9994075,0.00008146674,0.00002963108,0.0002686468,0.0001014673,0.0001113296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004249832,0.00002288226,0.001388227,0.0001442413,0.00009511664,0.0000103612,0.0007982581,0.002060661,0.954416,0.03110473,0.004562682,0.005354342],"study_design_scores_gemma":[0.0007760524,0.0001509597,0.00238716,0.0001264223,0.0001578038,0.00004614377,0.0003360702,0.8131222,0.1757452,0.0031641,0.002989549,0.0009983691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7798514,0.0001147205,0.2111977,0.003993157,0.0003926428,0.0007851524,0.0001316071,0.0004390303,0.003094543],"genre_scores_gemma":[0.7744741,0.00001115709,0.2249607,0.0002147746,0.0002578917,0.00002610727,0.000006981597,0.00003820746,0.00001002013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8110615,"threshold_uncertainty_score":0.7710122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007794760698298058,"score_gpt":0.2203235674842534,"score_spread":0.2125288067859553,"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."}}