{"id":"W4404444524","doi":"10.1093/noajnl/vdae200","title":"Machine learning prediction of brain metastasis invasion pattern on brain magnetic resonance imaging scans","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Université de Montréal; University of Saskatchewan; McGill University Health Centre","funders":"Faculty of Medicine and Health, University of Sydney; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Health Canada; Fondation de l'Association des radiologistes du Québec; Government of Canada; Fondation Brain Canada; McGill University","keywords":"Brain metastasis; Artificial intelligence; Computer science; Neuroscience; Medicine; Metastasis; Psychology; Internal medicine; Cancer","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":[0.0004542643,0.0002421354,0.0004450809,0.0002540812,0.0001102075,0.00001694493,0.00008965265,0.0000674358,0.0002757008],"category_scores_gemma":[0.0006190372,0.0001935543,0.0001513695,0.0003330567,0.000166787,0.0001649247,0.00005518756,0.0004823503,0.00003649321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132087,"about_ca_system_score_gemma":0.0001023415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004201235,"about_ca_topic_score_gemma":0.00004891192,"domain_scores_codex":[0.9980384,0.0003853052,0.0004013531,0.0005655828,0.0003012601,0.0003081501],"domain_scores_gemma":[0.9975817,0.001892596,0.0001098277,0.0002586009,0.00004931746,0.0001079631],"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":[0.0002792198,0.000254565,0.03233612,0.000209687,0.00004188153,0.0009214002,0.0002240326,0.0003139038,0.01547664,0.0001829322,0.002791417,0.9469682],"study_design_scores_gemma":[0.002521368,0.00627982,0.01792182,0.0004974616,0.0003178176,0.0005971394,0.0001792054,0.009705583,0.007637023,0.0003369674,0.953831,0.0001747726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4813858,0.3515157,0.005883736,0.1437606,0.004117495,0.002746754,0.0009496647,0.001097792,0.008542485],"genre_scores_gemma":[0.9901692,0.002732913,0.001002363,0.005140112,0.0002137489,0.00008008854,0.0001245395,0.00005877215,0.0004782669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9510396,"threshold_uncertainty_score":0.7892916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769783966689119,"score_gpt":0.295930713436132,"score_spread":0.2782328737692408,"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."}}