{"id":"W2027008808","doi":"10.1038/nm.3732","title":"Microscopic lymph node tumor burden quantified by macroscopic dual-tracer molecular imaging","year":2014,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; National Institute for Health and Care Research; Canadian Institutes of Health Research; Dartmouth College; University of Missouri","keywords":"Lymph node; Lymph; Ex vivo; Medicine; Biopsy; In vivo; Molecular imaging; Pathology; Sentinel lymph node; Stage (stratigraphy); Cancer; Breast cancer; Cancer research; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005342264,0.0003282385,0.0006007858,0.0001537544,0.0001270424,0.00002461663,0.0002462665,0.0002318387,0.0004802142],"category_scores_gemma":[0.000712917,0.0002461999,0.00009071911,0.0003861591,0.0004116833,0.00005047554,0.00007822546,0.001029528,0.00007282051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008115632,"about_ca_system_score_gemma":0.0000716315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000180901,"about_ca_topic_score_gemma":0.000001189379,"domain_scores_codex":[0.9976826,0.00006373625,0.0004817996,0.0006157921,0.0006515011,0.0005045461],"domain_scores_gemma":[0.9982777,0.0001263351,0.0001514505,0.0008455974,0.0001809818,0.0004179372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002511639,0.00007619599,0.00295857,0.0001834024,0.00002822552,0.00007724115,0.00007563495,2.200618e-7,0.8134708,0.002166447,0.1783922,0.002546031],"study_design_scores_gemma":[0.006404882,0.0001942566,0.004851548,0.002060325,0.000484868,0.0005668824,0.0001377537,0.003465066,0.3250561,0.002283996,0.6538775,0.0006168026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6281453,0.009845523,0.05193428,0.2910511,0.001054464,0.00142977,0.00003527062,0.001135024,0.01536929],"genre_scores_gemma":[0.9540638,0.00008292159,0.01305976,0.02981596,0.0008367481,0.0000807737,0.0002207737,0.00007356907,0.001765736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884146,"threshold_uncertainty_score":0.999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005981575448385892,"score_gpt":0.3126615315697593,"score_spread":0.3066799561213734,"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."}}