{"id":"W2057709679","doi":"10.1117/12.2081494","title":"Lateral resolution enhancement via imbricated spectral domain optical coherence tomography in a maximum-a-posterior reconstruction framework","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Optical coherence tomography; Optics; Image resolution; Computer science; Iterative reconstruction; Medical imaging; Materials science; Computer vision; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006512689,0.0004102452,0.0004914666,0.0002586202,0.00005967323,0.0001304568,0.0008090104,0.0003347309,0.00002038604],"category_scores_gemma":[0.0002111223,0.0003836655,0.00047965,0.001072917,0.0003586811,0.0006044161,0.0001154139,0.0006128305,0.000005519379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636817,"about_ca_system_score_gemma":0.00003435987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001424894,"about_ca_topic_score_gemma":9.416648e-7,"domain_scores_codex":[0.9972371,5.65698e-8,0.000973094,0.0004743745,0.0006997315,0.0006156857],"domain_scores_gemma":[0.9983657,0.0001183838,0.0002235103,0.0001079249,0.0009309673,0.0002535239],"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":[0.0002419589,0.0002710804,0.002420668,0.0004355573,0.0004359462,4.20074e-7,0.0005244792,0.0007891518,0.712308,0.2795842,0.0007130337,0.002275473],"study_design_scores_gemma":[0.006308713,0.002397333,0.02105237,0.002673183,0.0005584191,0.000240771,0.004378084,0.2625518,0.539113,0.1554205,0.002220971,0.00308489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929276,0.0001359151,0.001617262,0.000880031,0.000334069,0.0009201064,0.00003089392,0.0002189769,0.002935106],"genre_scores_gemma":[0.6937042,0.00003911897,0.3055182,0.00003071757,0.0002105839,0.0004141388,0.00001080928,0.00005687071,0.000015315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.303901,"threshold_uncertainty_score":0.9998615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177975225348295,"score_gpt":0.2270029861268988,"score_spread":0.2152232338734159,"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."}}