{"id":"W4384070005","doi":"10.1093/noajnl/vdad071.007","title":"INTERCEPTING BRAIN METASTASES THROUGH METABOLIC VULNERABILITIES","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Brain Tumor Funders' Collaborative","keywords":"In vivo; Transcriptome; Population; Medicine; Cancer research; In vitro; Bioinformatics; Pharmacology; Oncology; Biology; Gene; Gene expression","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":[0.0004817889,0.0002835492,0.0007269755,0.000163708,0.0002095317,0.00001933001,0.0001323872,0.00008829932,0.0005362857],"category_scores_gemma":[0.001400117,0.0002175559,0.0002310752,0.0005390189,0.0003122479,0.0003049327,0.0001224497,0.0003224947,0.0003481338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005572184,"about_ca_system_score_gemma":0.0001091091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003336285,"about_ca_topic_score_gemma":0.00005581599,"domain_scores_codex":[0.9979108,0.0003499535,0.0004147818,0.0005415274,0.0002506678,0.0005322597],"domain_scores_gemma":[0.9968795,0.002390752,0.0001390554,0.0003921295,0.00007241442,0.0001261756],"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":[0.001482293,0.001747957,0.03681322,0.0006309703,0.001576963,0.004999022,0.006636145,0.0007721606,0.06977161,0.02735781,0.07339033,0.7748215],"study_design_scores_gemma":[0.002113985,0.001371989,0.00466198,0.00003375402,0.0003320852,0.0003506895,0.002829527,0.00006889962,0.01194999,0.00363192,0.972456,0.0001991581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935904,0.0122342,0.0008464279,0.03354427,0.002144197,0.001208444,0.0001411271,0.001137741,0.01283961],"genre_scores_gemma":[0.9607546,0.003956654,0.01635639,0.01590446,0.0007727342,0.0004380973,0.0002245476,0.0001000065,0.001492501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8990657,"threshold_uncertainty_score":0.8871674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03995520997059197,"score_gpt":0.3670144302912525,"score_spread":0.3270592203206605,"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."}}