{"id":"W3200475971","doi":"10.3389/fvets.2021.721003","title":"Evaluating the Feasibility and Efficacy of a Dual-Modality Nanoparticle Contrast Agent (Nanotrast-CF800) for Image-Guided Sentinel Lymph Node Mapping in the Oral Cavity of Healthy Dogs","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"OVC Pet Trust; Ontario Veterinary College, University of Guelph","keywords":"Medicine; Sentinel lymph node; CTL*; Adverse effect; Lymph node; Percutaneous; Lymph; Nuclear medicine; Radiology; Surgery; Pathology; Cancer; Internal medicine; Antigen; Immunology","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":[0.0005654781,0.0001986163,0.0002277371,0.0002123517,0.0001129008,0.0001776357,0.000174032,0.0003422502,0.0003414695],"category_scores_gemma":[0.0005708449,0.0001766435,0.000132008,0.00006229928,0.0003841957,0.000385344,0.0001226179,0.0001976023,0.00009329813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304803,"about_ca_system_score_gemma":0.0002182718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004348181,"about_ca_topic_score_gemma":0.0008953054,"domain_scores_codex":[0.9998085,0.00003958146,0.00001312284,0.00005394528,0.00005435335,0.00003055458],"domain_scores_gemma":[0.9997057,0.00009606367,0.00008648736,0.00002058069,0.00005064474,0.00004047504],"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":[0.002556865,0.0006618595,0.01076832,0.000123478,0.00002004176,0.0001674853,0.000143987,0.0005447416,0.971473,0.00006290456,0.00005829022,0.01341919],"study_design_scores_gemma":[0.0002516632,0.1053999,0.0867704,0.00001692734,0.0002209693,0.002378738,0.0004010278,0.008314558,0.7937884,0.00008953069,0.002321067,0.00004675086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988247,0.0001866913,0.0008529018,0.00001324267,0.000003160342,0.00002356589,0.00001173522,0.000006792822,0.00007716992],"genre_scores_gemma":[0.9959754,0.0002700078,0.003358518,0.00002082926,0.000007193488,0.00003411163,0.00005519919,0.000003742372,0.0002749703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005654781,"threshold_uncertainty_score":0.002990603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2107879309873689,"score_gpt":0.4598438936847253,"score_spread":0.2490559626973564,"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."}}