{"id":"W3000294122","doi":"10.3390/cancers12010172","title":"Triple-Negative Primary Breast Tumors Induce Supportive Premetastatic Changes in the Extracellular Matrix and Soluble Components of the Lung Microenvironment","year":2020,"lang":"en","type":"article","venue":"Cancers","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; London Health Sciences Centre; Western University","funders":"London Health Sciences Foundation; Breast Cancer Society of Canada; Canadian Cancer Society Research Institute; Ontario Council on Graduate Studies, Council of Ontario Universities; Cancer Research Society","keywords":"Tumor microenvironment; Cancer research; Breast cancer; Extracellular matrix; Metastasis; Triple-negative breast cancer; Medicine; Primary tumor; Fibronectin; Tumor progression; Immunology; Pathology; Biology; Cancer; Internal medicine; Cell biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001643267,0.0001397549,0.0001506743,0.00001536437,0.00005216407,0.00001112502,0.0002967441,0.00004627747,0.00001637553],"category_scores_gemma":[0.00003655221,0.00009968948,0.00005600162,0.0001024225,0.0002559543,0.000005181796,0.0001590388,0.000122568,9.916644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047774,"about_ca_system_score_gemma":0.0001335427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004707228,"about_ca_topic_score_gemma":0.00001926141,"domain_scores_codex":[0.9989917,0.0001723982,0.0001944618,0.0002769433,0.0001725077,0.000191986],"domain_scores_gemma":[0.9994755,0.00002054359,0.0001637099,0.0002535686,0.00001585027,0.00007083829],"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":[0.0001749979,0.00004252804,0.007012803,0.0001399707,0.00005698514,0.00001159241,0.001573768,0.0002214693,0.9894603,0.00002249092,0.0009976161,0.0002854038],"study_design_scores_gemma":[0.004900635,0.0004896409,0.1997154,0.0002359934,0.0002939802,0.0000703083,0.00695944,0.001790675,0.7806705,0.0001251886,0.004052397,0.0006958295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911824,0.006917893,0.00007816273,0.001010581,0.0000547602,0.0005999077,0.0001027072,0.000002849662,0.00005071975],"genre_scores_gemma":[0.9989834,0.0001531516,0.0001566394,0.00038243,0.00004579973,0.00004388438,0.00004973085,0.00001637274,0.0001685735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2087898,"threshold_uncertainty_score":0.4065219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277346781062789,"score_gpt":0.2357133759373634,"score_spread":0.2229399081267355,"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."}}