{"id":"W4316039643","doi":"10.1186/s13046-022-02553-5","title":"Stroma-derived miR-214 coordinates tumor dissemination","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental & Clinical Cancer Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"European Research Council; Fondazione Italiana per la Ricerca sul Cancro; Ministero della Salute; Associazione Italiana per la Ricerca sul Cancro; Compagnia di San Paolo; European Molecular Biology Organization","keywords":"Stroma; Metastasis; Extravasation; Cancer research; Tumor microenvironment; Stromal cell; Cancer cell; Biology; Cancer stem cell; Cancer; microRNA; Tumor progression; Microvesicles; Pathology; Cell biology; Stem cell; Immunology; Medicine; Tumor cells","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001462273,0.0001809347,0.0002293475,0.0003208591,0.0001793581,0.0005567155,0.0001230666,0.000234116,0.001623132],"category_scores_gemma":[0.0001870936,0.0001438612,0.0002306894,0.0001767504,0.0001514261,0.000178489,0.0003119079,0.0003431591,0.000672772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002051434,"about_ca_system_score_gemma":0.0002211252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000243357,"about_ca_topic_score_gemma":0.0002103948,"domain_scores_codex":[0.9997924,0.00003032149,0.00001829323,0.00005702395,0.00006225055,0.00003986464],"domain_scores_gemma":[0.9998444,0.00002559944,0.00006020957,0.00001974112,0.00002410213,0.0000259458],"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":[0.0001153361,0.00001353686,0.001244568,0.00004297076,0.000006092806,0.00004657724,0.0000122032,0.00008719128,0.9969664,0.0001033201,0.00005322409,0.001308682],"study_design_scores_gemma":[0.000009749975,0.0001398817,0.01252684,0.00001311755,0.00002913749,0.0006414049,0.00005884498,0.001785854,0.9781965,0.0001486814,0.006443634,0.000006237021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920431,0.001957518,0.003688812,0.00007522963,0.00002169847,0.00001693841,0.0007145404,0.0001325726,0.001349687],"genre_scores_gemma":[0.9953296,0.0008227278,0.001672207,0.0000298104,0.000008591572,0.00001593812,0.0007735294,0.00002562268,0.001322081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001623132,"threshold_uncertainty_score":0.005429864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103084975335492,"score_gpt":0.5352365939065495,"score_spread":0.4249280963730003,"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."}}