{"id":"W2057328743","doi":"10.1364/boe.6.001293","title":"Laser tissue coagulation and concurrent optical coherence tomography through a double-clad fiber coupler","year":2015,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Optical coherence tomography; Laser; Materials science; Multi-mode optical fiber; Optics; Fiber laser; Cladding (metalworking); Optical fiber; Biomedical engineering; Medicine; 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":[0.0004290035,0.0004437065,0.000204916,0.0004483705,0.0002706463,0.0003079802,0.0003439875,0.0004111113,0.0004203249],"category_scores_gemma":[0.0003894437,0.0003816663,0.000198278,0.0003034886,0.000484721,0.0005175481,0.0004827982,0.0003450442,0.0001477201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007158148,"about_ca_system_score_gemma":0.0006109404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731226,"about_ca_topic_score_gemma":0.003985004,"domain_scores_codex":[0.9995692,0.00003927494,0.0000198614,0.0001313272,0.0001979619,0.0000423509],"domain_scores_gemma":[0.9995738,0.00007482028,0.0001720445,0.00005970189,0.00007718657,0.00004238334],"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":[0.00004979356,0.00001913016,0.0003997695,0.00002646698,0.000005092994,0.00006995668,0.00003593514,0.0003729824,0.9937941,0.0001751811,0.00006578067,0.004985849],"study_design_scores_gemma":[0.00002195887,0.0002082379,0.00246883,0.000008513816,0.00001566281,0.0006238829,0.00001743353,0.009522646,0.9843427,0.00006542818,0.002684094,0.00002062129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8926497,0.001454138,0.1022975,0.0002174682,0.00005997528,0.0002066829,0.0001460288,0.0004622321,0.002506369],"genre_scores_gemma":[0.8706802,0.0005596581,0.1262834,0.0001148292,0.00003189524,0.0001347101,0.00006817134,0.00004236481,0.002084931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001731226,"threshold_uncertainty_score":0.005193651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607821086847545,"score_gpt":0.2838982428796514,"score_spread":0.2478200320111759,"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."}}