{"id":"W2536451207","doi":"10.1364/boe.7.004621","title":"Long-range, wide-field swept-source optical coherence tomography with GPU accelerated digital lock-in Doppler vibrography for real-time, in vivo middle ear diagnostics","year":2016,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optical coherence tomography; Optics; Middle ear; Doppler effect; Tomography; Computer science; Physics; Medicine","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":[0.000408463,0.0002981096,0.0001826546,0.0002687494,0.0001361709,0.000476851,0.0004455358,0.0003488628,0.001117787],"category_scores_gemma":[0.0009275576,0.0001932434,0.0001432134,0.0001744297,0.0002488521,0.000379992,0.0004221379,0.0003743669,0.0002847215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563914,"about_ca_system_score_gemma":0.0004741053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006112634,"about_ca_topic_score_gemma":0.002025757,"domain_scores_codex":[0.9997501,0.00006428343,0.0000129736,0.0000316699,0.0001235397,0.00001739707],"domain_scores_gemma":[0.9996367,0.0001647235,0.00005041898,0.00004398692,0.00007270145,0.00003156617],"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":[0.0002645263,0.00007678306,0.002447841,0.00009648332,0.00002479116,0.0002089144,0.0001115871,0.004554191,0.9120861,0.0008706858,0.0007349569,0.07852314],"study_design_scores_gemma":[0.0001588665,0.001300038,0.009663964,0.00005008466,0.00007346972,0.001910452,0.00008402268,0.3234786,0.6479324,0.001126825,0.01413648,0.00008483705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.202678,0.0006937707,0.7933947,0.0004123343,0.00006988394,0.0001528551,0.0001296938,0.001201993,0.001266763],"genre_scores_gemma":[0.4122291,0.000272303,0.5861338,0.0001653472,0.00002308561,0.0001315811,0.00008461231,0.0001008428,0.0008593525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001117787,"threshold_uncertainty_score":0.003739417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311607129218139,"score_gpt":0.2265154903724078,"score_spread":0.2133994190802264,"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."}}