{"id":"W2595863515","doi":"10.1016/j.ccell.2017.02.009","title":"The Microenvironmental Landscape of Brain Tumors","year":2017,"lang":"en","type":"review","venue":"Cancer Cell","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":1861,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Université de Lausanne; National Cancer Institute; Ludwig Institute for Cancer Research; Cancer Research UK; Breast Cancer Research Foundation","keywords":"Tumor microenvironment; Neuroscience; Brain cancer; Regulator; Blood–brain barrier; Immune system; Biology; Cancer; Computational biology; Medicine; Cancer research; Central nervous system; Immunology; Gene","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":[0.0003709292,0.0006968527,0.00108186,0.001530413,0.0002456607,0.001309736,0.0006413418,0.0009648174,0.002271815],"category_scores_gemma":[0.0005941964,0.0002075415,0.0003369838,0.001638898,0.0004868407,0.00130681,0.0008245702,0.001292617,0.0009408232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005996036,"about_ca_system_score_gemma":0.001322362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276693,"about_ca_topic_score_gemma":0.002936448,"domain_scores_codex":[0.9998558,0.00002308094,0.00001868093,0.00002465896,0.00005608585,0.00002157799],"domain_scores_gemma":[0.9997826,0.00008677831,0.00003971576,0.000005442438,0.0000613772,0.0000241257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007383555,0.00003940875,0.0003778574,0.01680705,0.00008557252,0.0002425476,0.00006789457,0.0003336697,0.001704039,0.003787391,0.03928163,0.9371991],"study_design_scores_gemma":[0.00001076184,0.00005195963,0.001007551,0.003909117,0.000147302,0.001215966,0.00009941445,0.00009601877,0.0005319313,0.002223046,0.9906883,0.0000185407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009730394,0.9987676,0.00007438316,0.0003216086,0.0001751486,0.000002035891,0.00001601199,0.000004174341,0.0005417381],"genre_scores_gemma":[0.000700546,0.998519,0.00007738262,0.0001722223,0.0002060852,0.000002268103,0.0000197155,6.97103e-7,0.0003020737],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002271815,"threshold_uncertainty_score":0.00759995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030366800788162,"score_gpt":0.3510771499178586,"score_spread":0.300773481909977,"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."}}