{"id":"W2962723104","doi":"10.1117/12.2527203","title":"Sensorless adaptive optics optical coherence tomography for two photon excited fluorescence mouse retinal imaging","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Optics; Optical coherence tomography; Retina; Materials science; Fluorescence-lifetime imaging microscopy; Preclinical imaging; Adaptive optics; Retinal; Fluorescence; Microscopy; Physics; In vivo; Chemistry","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":[0.000691851,0.0007117768,0.0004889412,0.0008476747,0.000225543,0.0006069249,0.0009603396,0.0006229482,0.004679017],"category_scores_gemma":[0.001092839,0.0005719709,0.0003344762,0.000879641,0.0003436715,0.0007518299,0.0006730388,0.001135808,0.001747051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009833402,"about_ca_system_score_gemma":0.0007068837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008224338,"about_ca_topic_score_gemma":0.002489505,"domain_scores_codex":[0.9993985,0.00007902242,0.00002965645,0.00008134641,0.0003782343,0.00003326668],"domain_scores_gemma":[0.9994234,0.000149283,0.0001565407,0.00009950218,0.0001256168,0.00004577958],"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":[0.0002244782,0.00008533731,0.0005934454,0.0003220707,0.00003749544,0.0001934719,0.00004283572,0.002715544,0.9182501,0.005123178,0.004596735,0.06781515],"study_design_scores_gemma":[0.00009429234,0.0006118916,0.004265759,0.0001183652,0.00008005463,0.00228369,0.0000326267,0.2058089,0.716149,0.002659156,0.06776819,0.0001279764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01637753,0.001385576,0.9757339,0.0003639525,0.0001292142,0.0003521278,0.0008593736,0.002489744,0.002308619],"genre_scores_gemma":[0.08449265,0.001703692,0.908203,0.0002726221,0.00004173008,0.0008506525,0.0007089576,0.0003214279,0.00340533],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004679017,"threshold_uncertainty_score":0.01565289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008492288604251384,"score_gpt":0.2767291001241086,"score_spread":0.2682368115198572,"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."}}