{"id":"W2971881853","doi":"10.1186/s13058-019-1189-x","title":"Targeting myeloid-derived suppressor cells in combination with primary mammary tumor resection reduces metastatic growth in the lungs","year":2019,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Occupational Cancer Research Centre; University of British Columbia","funders":"University of British Columbia; Canadian Institutes of Health Research; Terry Fox Foundation; Michael Smith Health Research BC","keywords":"Myeloid-derived Suppressor Cell; Spleen; Bone marrow; Medicine; Cancer research; Immune system; Pathology; Myeloid; Primary tumor; Mammary tumor; Haematopoiesis; Metastasis; Immunology; Suppressor; Cancer; Biology; Breast cancer; Stem cell; Internal medicine","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":[0.0001575358,0.0005226834,0.000818702,0.0004358335,0.000123659,0.0003315055,0.0002591719,0.0004041465,0.001371403],"category_scores_gemma":[0.000136849,0.0001748843,0.0003793148,0.0001962393,0.0003309235,0.0002282835,0.00017392,0.00111067,0.0003927048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099665,"about_ca_system_score_gemma":0.0004956349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008938671,"about_ca_topic_score_gemma":0.001867762,"domain_scores_codex":[0.9997992,0.0000263454,0.00001233647,0.00003789883,0.0000633142,0.00006092276],"domain_scores_gemma":[0.9997663,0.00002633436,0.00005673675,0.0000216844,0.00001344302,0.0001155451],"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":[0.0009234079,0.0006098533,0.0003546027,0.00007292984,0.00001815564,0.0000532842,0.00002181476,0.0002615512,0.9933444,0.00006357463,0.0002528097,0.004023545],"study_design_scores_gemma":[0.000250424,0.009767977,0.01021446,0.00002337406,0.00008721418,0.0004209035,0.00007491393,0.002844959,0.9729131,0.0001164658,0.003271871,0.00001433945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956074,0.001665699,0.0008806554,0.0001705326,0.00006945515,0.00006323843,0.0003235016,0.0001916382,0.001027782],"genre_scores_gemma":[0.9938315,0.001165536,0.001348445,0.00009491329,0.00003467467,0.00009431317,0.0006734286,0.0000371311,0.00271993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001371403,"threshold_uncertainty_score":0.004587829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816707238717546,"score_gpt":0.2903287783800996,"score_spread":0.2721617059929242,"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."}}