{"id":"W2175180303","doi":"10.1364/boe.6.004238","title":"Sensitivity analysis aimed at blood vessels detection using interstitial optical tomography during brain needle biopsy procedures","year":2015,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Diffuse optical imaging; Optical coherence tomography; Tomography; Radiology; Sensitivity (control systems); Medicine; Biopsy; Pathology","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":[0.00117984,0.0007357649,0.0004445608,0.0005471472,0.0002777334,0.0007056984,0.0004241046,0.001091864,0.0005837734],"category_scores_gemma":[0.005743122,0.0003708507,0.0005781502,0.0003267711,0.0005560666,0.0005813149,0.0005680023,0.0003919454,0.0001606258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006462212,"about_ca_system_score_gemma":0.0002642008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156334,"about_ca_topic_score_gemma":0.001105452,"domain_scores_codex":[0.9988194,0.0004148868,0.00004810075,0.0002087567,0.000376314,0.0001325819],"domain_scores_gemma":[0.9944131,0.004380435,0.0004571722,0.0002455154,0.0004398687,0.00006391808],"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":[0.001236401,0.0001329422,0.009269405,0.0005680029,0.000180603,0.001089652,0.0003463266,0.08986088,0.8746669,0.000773676,0.0003118209,0.02156342],"study_design_scores_gemma":[0.00002271216,0.0009983827,0.02058256,0.00009312368,0.0002200519,0.001350204,0.0002191697,0.1888742,0.7855132,0.0005857432,0.00143922,0.0001013853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7870657,0.00303749,0.2050039,0.0003394704,0.00007573432,0.0001412518,0.0002366042,0.0007182439,0.003381663],"genre_scores_gemma":[0.9858973,0.0004968641,0.01295716,0.0001373317,0.00001713745,0.00003773602,0.00006492228,0.00005002138,0.0003414597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00156334,"threshold_uncertainty_score":0.006239712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228144268093447,"score_gpt":0.307127094680533,"score_spread":0.2843126678711883,"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."}}