{"id":"W3111996857","doi":"10.1109/iclo48556.2020.9285620","title":"Multi-factor modeling of OCT-scan formation in the presence of scatterer motions","year":2020,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Russian Foundation for Basic Research","keywords":"Monte Carlo method; Imaging phantom; Optics; Amplitude; Phase (matter); Aperture (computer memory); Resolution (logic); Physics; Computer simulation; Computer science; Acoustics; Mathematics; Mechanics; Artificial intelligence","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":[0.0005364073,0.0008278855,0.0004978119,0.0004503109,0.0002260209,0.0007536207,0.0009752082,0.001253948,0.001652811],"category_scores_gemma":[0.001919398,0.0005310164,0.000684174,0.0004180145,0.0006863069,0.001145291,0.0006423377,0.0006823676,0.0005829953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005232348,"about_ca_system_score_gemma":0.0007565583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003830821,"about_ca_topic_score_gemma":0.00211153,"domain_scores_codex":[0.9997367,0.00006403697,0.00001426541,0.00005584499,0.00009265259,0.0000365068],"domain_scores_gemma":[0.9993279,0.0002574105,0.0001517855,0.00008407194,0.0001261278,0.00005271976],"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":[0.00007975809,0.00002811583,0.0008152,0.00007744026,0.00002620804,0.0002042678,0.0001008076,0.9606216,0.01398867,0.01477247,0.0003598871,0.00892548],"study_design_scores_gemma":[0.000002447363,0.000008760634,0.00008240861,0.000002608188,0.000003941826,0.00004677342,0.000003725489,0.9977067,0.0008037079,0.001034,0.0002998183,0.000005084618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01842083,0.0002466631,0.9788589,0.00008350184,0.00002414332,0.00003640508,0.0001132999,0.000194417,0.002021657],"genre_scores_gemma":[0.7766269,0.001202321,0.2079919,0.0001303688,0.00006822125,0.0002544434,0.0003977116,0.0003456741,0.01298247],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003830821,"threshold_uncertainty_score":0.007617056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05397928727261075,"score_gpt":0.2559706850557014,"score_spread":0.2019913977830906,"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."}}