{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002295224,0.0001282939,0.0002397588,0.0001345132,0.0001287406,0.00005653075,0.0004929903,0.0001145639,0.0002276567],"category_scores_gemma":[0.0009727296,0.0001131032,0.00026684,0.0002969888,0.0003582116,0.00001576056,0.0003121329,0.0004521509,0.0000459989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008348039,"about_ca_system_score_gemma":0.0002641174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001386817,"about_ca_topic_score_gemma":0.000004753408,"domain_scores_codex":[0.9974898,0.0004371891,0.0006857842,0.0002998389,0.0006945184,0.0003929371],"domain_scores_gemma":[0.9985259,0.0002193616,0.0002347476,0.0002828839,0.0004153472,0.0003217625],"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":[0.0006680301,0.0003645336,0.008048846,0.00001303101,0.0000761563,0.0001239545,0.00005446787,0.000009593799,0.9555671,0.00002248985,0.03342957,0.001622183],"study_design_scores_gemma":[0.001104584,0.001458461,0.0176093,0.00008654488,0.00001307996,0.00002238308,0.001088573,0.0000685326,0.9687234,0.00009571957,0.00958451,0.0001449755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924417,0.006005818,0.00001990305,0.0005633514,0.0004458196,0.0001763327,0.00002052044,0.000009606892,0.0003169594],"genre_scores_gemma":[0.9970261,0.0006971067,0.0001892644,0.0000797278,0.0009571285,0.00003260097,0.00002498349,0.00003425261,0.0009588707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02384507,"threshold_uncertainty_score":0.4612213,"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."}}