{"id":"W4386807108","doi":"10.1101/2023.09.14.23295596","title":"ReMIND: The Brain Resection Multimodal Imaging Database","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health; Brigham and Women's Hospital","keywords":"Resection; Computer science; Database; Medicine; Surgery","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":[0.0008861109,0.001785169,0.001380813,0.004821457,0.0004334372,0.002119547,0.002305937,0.001800599,0.03991898],"category_scores_gemma":[0.005868164,0.0005509804,0.000725409,0.005486485,0.0003196296,0.001315753,0.002221559,0.001141148,0.05148492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007272377,"about_ca_system_score_gemma":0.001635045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004597869,"about_ca_topic_score_gemma":0.004899195,"domain_scores_codex":[0.9992307,0.00007748217,0.0001993866,0.0002353515,0.0001718009,0.00008526762],"domain_scores_gemma":[0.9974625,0.0004945099,0.0003600086,0.0008680028,0.0005204722,0.0002944156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006733471,0.00009558671,0.005873713,0.001537338,0.0001472154,0.0005154412,0.00007926336,0.001199535,0.002320004,0.001210107,0.9495799,0.03676859],"study_design_scores_gemma":[0.0006955967,0.0001148469,0.02894118,0.0004348578,0.0001896139,0.001782105,0.0002205923,0.004334534,0.004140532,0.004582072,0.9544324,0.0001317472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00223367,0.0005377759,0.001237455,0.0001679507,0.00004406964,0.00008768566,0.9905171,0.003603077,0.001571126],"genre_scores_gemma":[0.004131424,0.0002585904,0.001289224,0.00008584376,0.00002711983,0.0001458787,0.9934207,0.0002261242,0.0004151021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03991898,"threshold_uncertainty_score":0.1335423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019763176483569,"score_gpt":0.3404068865910313,"score_spread":0.3102092548261956,"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."}}