{"id":"W2967032857","doi":"10.1093/noajnl/vdz014.018","title":"BSCI-20. THERAPEUTIC TARGETING OF HLA-G IN BRAIN METASTASES","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Brain metastasis; Melanoma; Medicine; Breast cancer; Lung; Cancer research; Metastasis; Radiosurgery; Human leukocyte antigen; Oncology; Lung cancer; Cancer; Pathology; Internal medicine; Immunology; Radiation therapy; Antigen","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":[0.0001807259,0.0004994046,0.0003367093,0.0004423319,0.0002041613,0.000414819,0.0003064624,0.0006040786,0.005487955],"category_scores_gemma":[0.0001216509,0.0001608009,0.0002985075,0.0003732076,0.0002601797,0.0001871009,0.0002277526,0.001575421,0.001578544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005865532,"about_ca_system_score_gemma":0.0005608382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161495,"about_ca_topic_score_gemma":0.002043622,"domain_scores_codex":[0.999863,0.00001305308,0.000007292316,0.00002765183,0.00004530047,0.00004373454],"domain_scores_gemma":[0.9999286,0.000007419701,0.00001409633,0.000005383106,0.00001081062,0.00003363303],"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":[0.0009553635,0.0004792105,0.0003640635,0.000397403,0.00003683347,0.000148783,0.00003247537,0.0004687712,0.9659972,0.001053854,0.007427437,0.02263879],"study_design_scores_gemma":[0.0004747548,0.003331175,0.006394425,0.00007204582,0.0001101776,0.0007185449,0.00006381008,0.002930824,0.9216877,0.0004238004,0.06376809,0.00002453879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006453,0.03131082,0.01149768,0.002769867,0.002162876,0.0008386449,0.01007973,0.002788618,0.03790644],"genre_scores_gemma":[0.953265,0.01076764,0.005496603,0.0013405,0.0001138231,0.000604426,0.00705949,0.0001590513,0.02119334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005487955,"threshold_uncertainty_score":0.01835901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255409149830644,"score_gpt":0.2821914268360769,"score_spread":0.2696373353377705,"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."}}