{"id":"W2222925888","doi":"10.1002/cam4.575","title":"Serum‐derived exosomes from mice with highly metastatic breast cancer transfer increased metastatic capacity to a poorly metastatic tumor","year":2016,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Microvesicles; Medicine; Metastasis; Metastatic breast cancer; Cancer research; Exosome; Tumor M2-PK; Adoptive cell transfer; Cancer; In vivo; Primary tumor; Breast cancer; Tumor microenvironment; Circulating tumor cell; Antibody; Immunology; Immune system; Internal medicine; Biology; T cell; Tumor marker; microRNA","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002715518,0.0005752156,0.0007734964,0.0001352374,0.0001060309,0.00002342385,0.0004992998,0.00005078913,0.001544642],"category_scores_gemma":[0.0001622331,0.0003549411,0.0001310215,0.0003542934,0.0005006761,0.00002932585,0.00006897808,0.0001499193,0.00003233477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518577,"about_ca_system_score_gemma":0.0004488828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003074509,"about_ca_topic_score_gemma":0.001972692,"domain_scores_codex":[0.9968991,0.000308812,0.0005606664,0.0009821855,0.0005837661,0.0006654164],"domain_scores_gemma":[0.9978629,0.0001345624,0.0001527898,0.0007727327,0.0003192368,0.000757733],"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":[0.001121431,0.0001806334,0.002182566,0.0001581142,0.001157722,0.0001353325,0.0003867126,0.00003250009,0.9896323,0.00003482173,0.001468473,0.00350936],"study_design_scores_gemma":[0.01228371,0.001063796,0.02940153,0.001567325,0.003355198,0.0001247186,0.0006167541,0.00006471971,0.9457785,0.0003175962,0.00421058,0.00121552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750265,0.005657039,0.008352646,0.006299653,0.0002395484,0.0008751068,0.003429621,0.00005304098,0.00006681572],"genre_scores_gemma":[0.9912623,0.0003291473,0.002421693,0.004362835,0.000454352,0.0006326837,0.0001048047,0.0001174265,0.0003147607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04385378,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697050010035339,"score_gpt":0.263015536723865,"score_spread":0.2460450366235116,"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."}}