{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006743767,0.0001852162,0.0002182096,0.00008445724,0.0001257279,0.00008263051,0.000112367,0.00005413081,0.00003227251],"category_scores_gemma":[0.00007189219,0.0001635711,0.00007076693,0.0002962658,0.0002411714,0.00001010243,0.0001876867,0.00002945016,0.00001868354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441997,"about_ca_system_score_gemma":0.0005703137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880828,"about_ca_topic_score_gemma":0.001024611,"domain_scores_codex":[0.9982257,0.00007268612,0.0003083472,0.0007364497,0.0003268603,0.0003299868],"domain_scores_gemma":[0.9987799,0.000008106985,0.0001625239,0.0006053265,0.0002563671,0.0001877807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002611296,0.0005060781,0.6517899,0.00004519989,0.0002143718,0.001319861,0.0005971381,0.0006116059,0.3071303,0.000009076342,0.03523539,0.00227991],"study_design_scores_gemma":[0.002821775,0.00005047563,0.3868274,0.0001030667,0.0002444397,0.00223266,0.001063081,0.0001048673,0.5856526,0.001451604,0.01846076,0.0009872125],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99602,0.0006922152,0.00003119133,0.0001931563,0.002295614,0.0001910883,0.00005695839,0.0000165056,0.0005032289],"genre_scores_gemma":[0.9982667,0.00001900917,0.0003779661,0.00008573225,0.0001060962,0.0000629708,0.000101456,0.00001754348,0.0009625098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2785223,"threshold_uncertainty_score":0.6670235,"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."}}