{"id":"W2100080592","doi":"10.1117/1.jbo.18.2.026002","title":"Graphics processing unit accelerated optical coherence tomography processing at megahertz axial scan rate and high resolution video rate volumetric rendering","year":2013,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Frame rate; Computer science; Optical coherence tomography; Rendering (computer graphics); Volume rendering; Graphics processing unit; Computer graphics (images); Artificial intelligence; Computer vision; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004551137,0.0007619213,0.0003508161,0.0006284916,0.0002062014,0.0009881383,0.001027256,0.0003417862,0.004839187],"category_scores_gemma":[0.001554898,0.0003263085,0.0003438655,0.0005619073,0.0002490548,0.0007396642,0.0006372359,0.0008294145,0.001382378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004888048,"about_ca_system_score_gemma":0.0007892738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001483471,"about_ca_topic_score_gemma":0.002674744,"domain_scores_codex":[0.9995407,0.00005765323,0.00003031504,0.00005850297,0.0002447472,0.00006812193],"domain_scores_gemma":[0.9994267,0.000155638,0.00005149491,0.00009346852,0.0002384746,0.00003416702],"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":[0.0006724727,0.0001293772,0.00348156,0.0003156944,0.00008314307,0.000603678,0.0003034204,0.02755725,0.5537784,0.01379021,0.01676975,0.3825151],"study_design_scores_gemma":[0.000146942,0.000599406,0.00515725,0.00006075248,0.00007572141,0.001026197,0.0000813031,0.4571198,0.4647362,0.004948178,0.06593962,0.0001086553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07328863,0.0005599091,0.9063815,0.0004033888,0.0002214644,0.0002643055,0.0002896567,0.009092544,0.009498578],"genre_scores_gemma":[0.234958,0.0003225303,0.7573692,0.0001749756,0.00005053308,0.00022169,0.0006177673,0.001057634,0.005227758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004839187,"threshold_uncertainty_score":0.01618868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213486280516017,"score_gpt":0.2481209144081598,"score_spread":0.2267722863565581,"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."}}