{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009600114,0.000156034,0.0005134124,0.0001803656,0.0002395956,0.00003267136,0.0003716642,0.00006225765,0.000007334257],"category_scores_gemma":[0.002668553,0.0001095375,0.00008601071,0.001340848,0.002053359,0.0002193808,0.0003236174,0.0002281356,3.417714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014569,"about_ca_system_score_gemma":0.001199256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000184972,"about_ca_topic_score_gemma":0.000006238868,"domain_scores_codex":[0.9965512,0.000902081,0.0006890045,0.0005899201,0.0006727633,0.0005950632],"domain_scores_gemma":[0.9981457,0.0005409041,0.0001961994,0.0006751359,0.0003309407,0.000111097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00120026,0.0005879653,0.3204213,0.0003364247,0.00001232063,0.0001281972,0.002071979,0.00004135651,0.6725575,0.00001754739,0.00003180608,0.002593369],"study_design_scores_gemma":[0.004757924,0.001560635,0.9535183,0.0001383066,0.00002263355,0.0008973758,0.002242534,0.03429322,0.002261841,0.0001911923,0.00001452644,0.0001014587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938749,0.0003739977,0.001003856,0.003137504,0.0002464431,0.001276568,0.00001876328,0.000009180816,0.0000587596],"genre_scores_gemma":[0.9708138,0.00002598112,0.02875809,0.0002852934,0.00002026928,0.00006682252,0.000003725638,0.000008453688,0.00001763728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6702956,"threshold_uncertainty_score":0.7565688,"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."}}