{"id":"W2012107616","doi":"10.1364/ol.30.001791","title":"Interstitial Doppler optical coherence tomography","year":2005,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; University Health Network","funders":"","keywords":"Optical coherence tomography; Optics; Materials science; Doppler effect; Tomography; Blood flow; Biomedical engineering; Penetration depth; Echogenicity; Ultrasound; Radiology; Physics; Medicine","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":[0.0005434909,0.0003519122,0.0003996759,0.0007817702,0.0003587406,0.000538455,0.0004274729,0.0004481464,0.003064957],"category_scores_gemma":[0.00081861,0.000205651,0.0001521707,0.0004695197,0.0003544734,0.0005523436,0.0003410935,0.0007122634,0.0005692542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443926,"about_ca_system_score_gemma":0.0006783644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193129,"about_ca_topic_score_gemma":0.001415621,"domain_scores_codex":[0.9995816,0.00007151539,0.00002766926,0.000101448,0.0001508137,0.00006688751],"domain_scores_gemma":[0.9994912,0.0001279369,0.00008741642,0.00008190614,0.0001366471,0.00007481032],"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":[0.0008873129,0.0001979796,0.01132808,0.0004839433,0.00003854726,0.001304452,0.0001743617,0.0005416601,0.7870005,0.003495437,0.003414792,0.191133],"study_design_scores_gemma":[0.0005568624,0.002637448,0.0469549,0.0003349991,0.0003881162,0.02330099,0.0003232482,0.02143072,0.7960838,0.004031892,0.1038283,0.0001287426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4230609,0.02350588,0.5200896,0.001161612,0.0002683373,0.0005748705,0.001879426,0.003593902,0.02586544],"genre_scores_gemma":[0.8314004,0.00702585,0.1517435,0.0009066362,0.0001549176,0.000477958,0.0008398887,0.000162118,0.007288751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003064957,"threshold_uncertainty_score":0.01025331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008895684243979813,"score_gpt":0.2163825001815876,"score_spread":0.2074868159376077,"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."}}