{"id":"W4401878367","doi":"10.1007/s10278-024-01240-5","title":"A 3D Convolutional Neural Network Based on Non-enhanced Brain CT to Identify Patients with Brain Metastases","year":2024,"lang":"en","type":"article","venue":"Journal of Imaging Informatics in Medicine","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Cégep de Lévis","funders":"Conseil de la Recherche de l'Université Saint-Joseph de Beyrouth; Saint Joseph University","keywords":"Convolutional neural network; Brain metastasis; Medicine; Computer science; Artificial intelligence; Internal medicine; Cancer; Metastasis","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":[0.0003602185,0.0005975706,0.0004745466,0.0007462629,0.0001904291,0.0003879365,0.0005600266,0.0006450695,0.0009307346],"category_scores_gemma":[0.0008163709,0.000241876,0.0006671546,0.0003322725,0.0001142602,0.0002727661,0.0004753821,0.000466905,0.0002731411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000431357,"about_ca_system_score_gemma":0.0008039178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679938,"about_ca_topic_score_gemma":0.02106411,"domain_scores_codex":[0.9998887,0.00001892563,0.000007511876,0.00003038346,0.00002341321,0.0000311502],"domain_scores_gemma":[0.9998273,0.00007695841,0.0000135417,0.00001255303,0.00004981206,0.00001980016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00152627,0.0007638324,0.08294368,0.0001802562,0.0005536979,0.001180959,0.00009260274,0.20084,0.03048749,0.001322394,0.01294058,0.6671683],"study_design_scores_gemma":[0.0000180945,0.00008401971,0.007997942,0.00001352313,0.00009642704,0.0002110107,0.00001456446,0.9864404,0.004030499,0.000396257,0.0006848751,0.00001229608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171128,0.002499468,0.2702963,0.001421756,0.0003529998,0.0002091666,0.002351068,0.001847091,0.003909385],"genre_scores_gemma":[0.9490056,0.0007191431,0.04490627,0.0002793621,0.00008737629,0.0000874188,0.001840844,0.00006597603,0.003008032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679938,"threshold_uncertainty_score":0.03340322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142641212364754,"score_gpt":0.3167476477281576,"score_spread":0.3053212356045101,"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."}}