{"id":"W2264368908","doi":"10.1038/srep10002","title":"Metastatic breast cancer cells in lymph nodes increase nodal collagen density","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Lymph; Breast cancer; Metastasis; Extracellular matrix; Pathology; Medicine; Cancer; Cancer cell; Lymph node; Metastatic breast cancer; Cancer research; Internal medicine; Biology; Cell biology","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":[0.00009061461,0.0001811198,0.0001413999,0.0002290361,0.000134866,0.0002341968,0.00007282141,0.0001730237,0.002429385],"category_scores_gemma":[0.00008243952,0.0001115488,0.0001344755,0.0001745948,0.0001457582,0.0001609396,0.0001256401,0.0004157979,0.0005721773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005378,"about_ca_system_score_gemma":0.0001214783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111134,"about_ca_topic_score_gemma":0.001265364,"domain_scores_codex":[0.9999137,0.0000123109,0.000003921699,0.00001930871,0.00002962489,0.00002111775],"domain_scores_gemma":[0.9998838,0.00001891547,0.00002672041,0.00000905641,0.00002199412,0.00003951658],"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":[0.00006209388,0.00001203407,0.0006673115,0.00001978588,0.000002918315,0.00002756017,0.00002092299,0.00001381758,0.9985152,0.00003023275,0.00003156503,0.0005964967],"study_design_scores_gemma":[0.00002737,0.000486543,0.05267919,0.00001393889,0.00002608637,0.0006885641,0.0002166976,0.0005336023,0.9407601,0.0001175133,0.004443304,0.000007095626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918406,0.002337365,0.001796273,0.0001088827,0.00002409607,0.00002324924,0.0004410484,0.00005019686,0.003378304],"genre_scores_gemma":[0.9908983,0.00115844,0.002392271,0.00006089878,0.00001157433,0.00003319289,0.0004590215,0.00001875611,0.004967547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002429385,"threshold_uncertainty_score":0.008127153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600726113916643,"score_gpt":0.2650602844104479,"score_spread":0.2490530232712815,"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."}}