{"id":"W2887639123","doi":"10.1158/1538-7445.am2018-2894","title":"Abstract 2894: Neratinib effects significant changes in human brain endothelial cells, demonstrating that it may have a therapeutic use in cancers with brain metastasis","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neratinib; Brain metastasis; Medicine; Tyrosine-kinase inhibitor; Cancer research; Breast cancer; Cancer; Internal medicine; Metastasis; Oncology; Trastuzumab","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000995402,0.0002960892,0.0004307897,0.0001886659,0.0001863167,0.000199711,0.0001679962,0.0003022236,0.003475812],"category_scores_gemma":[0.000116008,0.00008329794,0.0004519439,0.0002244759,0.0001259903,0.0001430981,0.0001086253,0.0005460851,0.0006353671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864212,"about_ca_system_score_gemma":0.0001985608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009858655,"about_ca_topic_score_gemma":0.0009980305,"domain_scores_codex":[0.9998565,0.00001827844,0.00002055946,0.00003134878,0.0000419943,0.00003146541],"domain_scores_gemma":[0.9999483,0.000009769906,0.000009137785,0.000008427472,0.00001568111,0.000008658406],"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":[0.0003766885,0.0001234427,0.0002043973,0.0001213649,0.00002035093,0.00009217354,0.000009090403,0.00007601819,0.9938349,0.00004813751,0.000288536,0.004804993],"study_design_scores_gemma":[0.00005607593,0.0009232552,0.006031799,0.000004917405,0.00003221057,0.0005779314,0.00001677848,0.0003780979,0.9870774,0.00003179947,0.004864169,0.000005544734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774893,0.006826106,0.004059144,0.0003654389,0.0002416297,0.0001073155,0.002802709,0.0002846396,0.007823702],"genre_scores_gemma":[0.9824746,0.00243673,0.003415541,0.0001621672,0.00003045634,0.0000926316,0.00375427,0.00002593129,0.00760763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003475812,"threshold_uncertainty_score":0.01162773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280709815227956,"score_gpt":0.4465441814490924,"score_spread":0.3184731999262969,"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."}}