{"id":"W3214760308","doi":"10.3390/cancers13235973","title":"Clinical Biomarkers for Early Identification of Patients with Intracranial Metastatic Disease","year":2021,"lang":"en","type":"review","venue":"Cancers","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; St. Michael's Hospital; University of New Brunswick","funders":"University of Toronto","keywords":"Medicine; Disease; Oncology; Cancer; Intensive care medicine; Internal medicine; Identification (biology); Biomarker; Quality of life (healthcare); Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002753712,0.0002352866,0.001441855,0.0000829392,0.00002996415,0.00001352976,0.00007519595,0.00005375396,0.00005267451],"category_scores_gemma":[0.0002075366,0.000157475,0.0006676948,0.0002163152,0.0001179055,0.00003346003,0.00001447535,0.0001044185,0.000004396865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004502049,"about_ca_system_score_gemma":0.002102943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000229545,"about_ca_topic_score_gemma":0.000003660091,"domain_scores_codex":[0.9982324,0.0001312743,0.000825561,0.0004042034,0.0002427428,0.0001638004],"domain_scores_gemma":[0.9983057,0.0002431637,0.000594084,0.0004193912,0.0002160379,0.0002216519],"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":[0.0003469347,0.0001741803,0.001127983,0.01422334,0.002992635,0.00004210898,0.000008498278,8.966426e-7,1.133058e-8,0.00002876271,0.0005057956,0.9805489],"study_design_scores_gemma":[0.005848506,0.001125865,0.009241425,0.01582602,0.04076204,0.000005226718,0.00002642693,0.00002346338,5.123657e-7,0.00001707381,0.9267468,0.0003766373],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001286009,0.9933264,0.0005977824,0.00001897635,0.0004026949,0.002534301,0.001814179,0.00001124291,0.000008454922],"genre_scores_gemma":[0.0006302127,0.9936466,0.002059269,0.00003464517,0.0001115802,0.0004733432,0.002890522,0.00005433148,0.000099473],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9801722,"threshold_uncertainty_score":0.6421645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0640175246832918,"score_gpt":0.3992861446370474,"score_spread":0.3352686199537556,"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."}}