{"id":"W2606038173","doi":"10.1117/12.2250218","title":"Wavefront sensorless adaptive optics optical coherence tomography for multiphoton retinal imaging (Conference Presentation)","year":2017,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Optics; Adaptive optics; Optical coherence tomography; Wavefront; Deformable mirror; Scanning laser ophthalmoscopy; Materials science; 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":[0.0003341617,0.0004369169,0.0001883564,0.0004560446,0.0001896767,0.0006506559,0.0005500467,0.000505098,0.02107274],"category_scores_gemma":[0.0004377321,0.0001988327,0.0001914939,0.0002490641,0.0001639402,0.0005841305,0.0004830392,0.0005307336,0.003472429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004419032,"about_ca_system_score_gemma":0.0003328568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006489006,"about_ca_topic_score_gemma":0.00197309,"domain_scores_codex":[0.9998036,0.00001708212,0.000009705701,0.0000273809,0.0001289485,0.00001330206],"domain_scores_gemma":[0.9997907,0.00003121665,0.00002375698,0.00001791926,0.0001128163,0.00002361956],"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":[0.0002965991,0.00009134367,0.0008970888,0.0004220813,0.00004899085,0.0004149127,0.00007085023,0.001694573,0.5627221,0.005956114,0.08155375,0.3458317],"study_design_scores_gemma":[0.0001251795,0.0005846356,0.004865593,0.0001535259,0.00007795784,0.002846452,0.00005583422,0.1059174,0.4466427,0.003264985,0.4353273,0.0001384568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04376471,0.0117315,0.891561,0.004232469,0.003944484,0.0007496444,0.001275521,0.005898204,0.03684257],"genre_scores_gemma":[0.2621415,0.009845888,0.5909137,0.001933091,0.001492913,0.0007006449,0.002180962,0.000898383,0.129893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02107274,"threshold_uncertainty_score":0.07049537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118764339525675,"score_gpt":0.2787377776929844,"score_spread":0.2475501342977276,"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."}}