{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001686527,0.0007504395,0.0006035181,0.001390056,0.0001506912,0.0005881725,0.0004955104,0.0005906879,0.0006208665],"category_scores_gemma":[0.00468927,0.000187391,0.0005883597,0.0003932364,0.0001941104,0.0003820584,0.0003455692,0.0006616101,0.0004168824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004465501,"about_ca_system_score_gemma":0.0004355361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689273,"about_ca_topic_score_gemma":0.002863901,"domain_scores_codex":[0.999635,0.0001229808,0.0000324287,0.0001013108,0.00006144743,0.0000468439],"domain_scores_gemma":[0.9978522,0.001318701,0.0002471771,0.0001114797,0.0003821038,0.00008832296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001034751,0.0005270091,0.3171712,0.0001798421,0.0003615785,0.0004898102,0.0001003319,0.4025315,0.01035472,0.0004294191,0.003844779,0.262975],"study_design_scores_gemma":[0.000009737301,0.0001196668,0.01561178,0.00001766619,0.00003112963,0.0001170802,0.00001681844,0.9815223,0.00199835,0.0003614966,0.0001847198,0.00000923774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115118,0.001118047,0.08399405,0.0003967967,0.00006814677,0.00009700955,0.0009245507,0.000749054,0.001140648],"genre_scores_gemma":[0.9831956,0.0001362238,0.01529443,0.00004493972,0.00002886256,0.00004062572,0.0008487495,0.00001532923,0.0003953064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002689273,"threshold_uncertainty_score":0.008919299,"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."}}