{"id":"W4387269182","doi":"10.1002/brx2.33","title":"Understanding the heterogeneous immune repertoire of brain metastases for designing next‐gen therapeutics","year":2023,"lang":"en","type":"article","venue":"Brain‐X","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Immune system; Tumor microenvironment; Brain tumor; Immunotherapy; Infiltration (HVAC); Medicine; Circulating tumor cell; Neuroscience; Biology; Cancer; Pathology; Metastasis; Immunology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003030878,0.0003474945,0.0003677424,0.0004360639,0.0001295401,0.0005620621,0.0002283967,0.0005056459,0.001812174],"category_scores_gemma":[0.0002846021,0.0001385076,0.0002409333,0.000152195,0.0002420606,0.0006464503,0.0003165938,0.0007015046,0.0005523236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446958,"about_ca_system_score_gemma":0.0003731067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005069671,"about_ca_topic_score_gemma":0.000829405,"domain_scores_codex":[0.999916,0.00002471267,0.00000433437,0.00001512272,0.00001899939,0.00002101473],"domain_scores_gemma":[0.9999141,0.00002870369,0.00002143596,0.000005097268,0.00001769724,0.00001298616],"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":[0.0001099531,0.00007221176,0.002470953,0.0007702867,0.00002154487,0.0001664572,0.0000549618,0.002845743,0.9300604,0.003098237,0.00143973,0.0588895],"study_design_scores_gemma":[0.00008193833,0.001628335,0.02386792,0.0005313584,0.0001754777,0.002948276,0.0005942571,0.04358814,0.7832419,0.01778767,0.125489,0.00006573403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.508814,0.1589315,0.3053699,0.007050785,0.0005955003,0.0005583184,0.001218987,0.0005381239,0.01692281],"genre_scores_gemma":[0.8534184,0.05845013,0.0807625,0.001958221,0.0002788633,0.000443899,0.0004878285,0.00006548665,0.004134763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001812174,"threshold_uncertainty_score":0.006062269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2390280391217149,"score_gpt":0.3473987038545709,"score_spread":0.1083706647328559,"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."}}