{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007272972,0.0002100588,0.0001611139,0.0001525822,0.00006203325,0.0000902646,0.0003192172,0.00008852054,0.0002482828],"category_scores_gemma":[0.00001164232,0.0002239369,0.0001228621,0.0004149856,0.0002072167,0.0001893024,0.00004028039,0.0003170861,0.0004451635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000489105,"about_ca_system_score_gemma":0.00000711276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002184155,"about_ca_topic_score_gemma":0.00000951065,"domain_scores_codex":[0.9988526,0.000009602518,0.0002562071,0.0002371468,0.0002188101,0.0004256666],"domain_scores_gemma":[0.9993062,0.00007657521,0.00001908879,0.0003746685,0.00003344777,0.0001900033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006130122,0.0005163102,0.003866431,0.0002045827,0.0006412338,0.00007229931,0.0009795396,0.1473808,0.5331472,0.1265818,0.1113868,0.07516171],"study_design_scores_gemma":[0.005239616,0.0006176661,0.02453932,0.0004084228,0.0007383065,0.0003307,0.0004943694,0.5649759,0.1552686,0.003231754,0.2362942,0.00786117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7110245,0.00018632,0.1708488,0.007256294,0.0006299436,0.0006657333,0.00004419151,0.001783321,0.1075609],"genre_scores_gemma":[0.9273983,0.00001460618,0.07125776,0.0008740877,0.0002931466,0.00008590698,0.00001239351,0.0000391889,0.00002463926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4175951,"threshold_uncertainty_score":0.9131882,"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."}}