{"id":"W2345959150","doi":"10.1093/neuonc/nov208.31","title":"BMET-31DEVELOPMENT AND APPLICATION OF A NOVEL MODEL OF HUMAN LUNG-TO-BRAIN METASTASIS TO IDENTIFY UNIQUE METASTATIC GENE SIGNATURES","year":2015,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Brain metastasis; Metastasis; Human lung; Medicine; Lung; Gene; Computational biology; Oncology; Cancer research; Internal medicine; Biology; Cancer; Genetics","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":[0.0004203009,0.0005247081,0.0003244788,0.000655058,0.0003387924,0.0003785211,0.0004182565,0.0006282395,0.003701101],"category_scores_gemma":[0.0001494982,0.0002436757,0.0003405788,0.0003216465,0.0003001461,0.0002531704,0.0002667717,0.001532949,0.001093674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403028,"about_ca_system_score_gemma":0.0004752777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428466,"about_ca_topic_score_gemma":0.002219313,"domain_scores_codex":[0.9996649,0.00004550676,0.00002910844,0.00007118518,0.0001295942,0.00005974886],"domain_scores_gemma":[0.9998796,0.00002186062,0.00002705317,0.0000185413,0.00001309579,0.00003984535],"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":[0.0002004772,0.0001785991,0.00008832463,0.0000409142,0.000005451035,0.00007614074,0.00001920641,0.0002492025,0.9968467,0.0005929219,0.0001918998,0.001510103],"study_design_scores_gemma":[0.0001199331,0.001159738,0.002184842,0.00001448248,0.00001926991,0.0005336618,0.00002525998,0.002269729,0.9792614,0.000180888,0.01422155,0.000009201602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426696,0.003100439,0.03158731,0.0008823706,0.0003128283,0.002122454,0.007273972,0.0005390054,0.01151206],"genre_scores_gemma":[0.9363198,0.002467828,0.02783322,0.0003693693,0.00003435656,0.001690232,0.006279383,0.0001262012,0.0248796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003701101,"threshold_uncertainty_score":0.01238137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07047624249938339,"score_gpt":0.3880337535125524,"score_spread":0.317557511013169,"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."}}