{"id":"W4210339353","doi":"10.3390/curroncol29020055","title":"Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Breast cancer; Medicine; microRNA; Oncology; Biomarker; Internal medicine; Cancer; Gene expression profiling; Chemotherapy; Triple-negative breast cancer; Metastasis; Biology; Gene; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004913241,0.0001557724,0.0002184389,0.0001114342,0.00007699812,0.000004181654,0.0002892904,0.00009530202,0.0002552467],"category_scores_gemma":[0.00007285415,0.0001766623,0.0001143326,0.0001977398,0.00017235,0.000003779674,0.0002726004,0.0002071858,0.00000222925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471945,"about_ca_system_score_gemma":0.0005840056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003974035,"about_ca_topic_score_gemma":0.000009660361,"domain_scores_codex":[0.998243,0.0005493589,0.0003410797,0.0004112055,0.0001644957,0.0002908792],"domain_scores_gemma":[0.9992799,0.00004818109,0.0002192506,0.0002977886,0.00006611717,0.00008881784],"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":[0.009833305,0.0007392212,0.05893081,0.00002856891,0.0000805925,0.00005261079,0.0003370697,0.0006134263,0.9020832,0.00001330586,0.0009848546,0.02630302],"study_design_scores_gemma":[0.01467084,0.005142267,0.5775589,0.0001566278,0.0001470679,0.001040944,0.003379848,0.003467545,0.2230901,0.0004407401,0.169691,0.001214014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926066,0.005396324,0.00008093155,0.0005987216,0.0005600835,0.0003062025,0.000249303,0.00001055029,0.0001912433],"genre_scores_gemma":[0.99914,0.0001846731,0.00009516069,0.0001504227,0.0001173963,0.0001636833,0.00008139622,0.00002833984,0.00003889092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6789931,"threshold_uncertainty_score":0.7204078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650158667147005,"score_gpt":0.3533432974923266,"score_spread":0.3268417108208565,"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."}}