{"id":"W2606418889","doi":"10.4233/uuid:f6059ab2-adb2-4647-81be-09847fa9bd9f","title":"Optimization-based adaptive optics for optical coherence tomography","year":2017,"lang":"en","type":"article","venue":"Research Repository (Delft University of Technology)","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Wavefront; Adaptive optics; Wavefront sensor; Deformable mirror; Optical coherence tomography; Optics; Interferometry; Optical path; Physics; Lens (geology); Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002707864,0.0001396728,0.0002233184,0.0006653102,0.001017236,0.00006078552,0.001339955,0.0003285711,0.00001195685],"category_scores_gemma":[0.0001686394,0.0001718961,0.0001362296,0.0005562396,0.001925779,0.0001902844,0.0001612409,0.00045975,0.00000638768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008542139,"about_ca_system_score_gemma":0.0001118075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003009785,"about_ca_topic_score_gemma":0.000006410012,"domain_scores_codex":[0.9987425,0.00002002318,0.0001652258,0.0003177146,0.0003258177,0.0004287057],"domain_scores_gemma":[0.9977537,0.0002101578,0.00007655248,0.001065818,0.000753143,0.0001406539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005518484,0.001007897,0.01237496,0.0006821178,0.0008638783,0.000172395,0.0001767122,0.61797,0.0725089,0.2758309,0.003289201,0.01457116],"study_design_scores_gemma":[0.001244802,0.000665464,0.00282685,0.0001720393,0.00008886007,0.000006604921,0.0009928228,0.9262345,0.06280916,0.002897142,0.001596292,0.000465485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2434043,0.0003027212,0.6803615,0.001295266,0.0001827119,0.002291616,0.0000968784,0.001348907,0.07071609],"genre_scores_gemma":[0.8475994,0.00002369178,0.1521817,0.000001076131,0.00001793279,0.00001610017,0.000004181308,0.00001788027,0.0001379772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6041952,"threshold_uncertainty_score":0.7823858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03342254151778325,"score_gpt":0.2762539056261615,"score_spread":0.2428313641083783,"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."}}