{"id":"W4392907886","doi":"10.32920/25412650","title":"Smart Surveillance of Secondary Brain Tumours","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fluid-attenuated inversion recovery; Segmentation; Deep learning; Computer science; Artificial intelligence; Gadolinium; Image segmentation; Transfer of learning; Pattern recognition (psychology); Medicine; Magnetic resonance imaging; Radiology","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":[0.0003105587,0.0004098512,0.0004255287,0.000636324,0.0002127177,0.0007085847,0.0003957115,0.0005057522,0.001951704],"category_scores_gemma":[0.001663898,0.0001510406,0.0003002137,0.0002577306,0.0001655132,0.000488142,0.0006675918,0.0004038063,0.001566909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193467,"about_ca_system_score_gemma":0.0003837122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564728,"about_ca_topic_score_gemma":0.00227363,"domain_scores_codex":[0.9997726,0.00003615201,0.00001387571,0.00008462598,0.00005893686,0.00003374259],"domain_scores_gemma":[0.9994878,0.0001442896,0.0001028085,0.0000837828,0.0001092613,0.00007204244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001061418,0.0001558892,0.04601508,0.0004472682,0.0001012777,0.001714955,0.0003470893,0.02129812,0.1386215,0.003200107,0.03807493,0.7489624],"study_design_scores_gemma":[0.0001325363,0.0006441241,0.08142135,0.0002180383,0.0001998984,0.009618207,0.0003924519,0.5774602,0.2242396,0.01431325,0.09125274,0.0001075214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4355291,0.005574986,0.5079929,0.002563377,0.0004572162,0.000329214,0.006272772,0.01540142,0.02587909],"genre_scores_gemma":[0.9187106,0.001387543,0.06945847,0.0004601603,0.0001908407,0.0001206373,0.00416606,0.0004109407,0.005094552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001951704,"threshold_uncertainty_score":0.006529093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517364070166797,"score_gpt":0.2812919319828715,"score_spread":0.2461182912812035,"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."}}