{"id":"W4392033873","doi":"10.32920/25266718.v1","title":"Brain Tumor Classification Using Hyperspectral Image Analysis","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":"Hyperspectral imaging; Artificial intelligence; Pattern recognition (psychology); Computer science; Contextual image classification; Image (mathematics); Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003673197,0.0003415647,0.0003797941,0.0009391415,0.0001734259,0.0006110548,0.0004574356,0.0001932875,0.0007862346],"category_scores_gemma":[0.0004948936,0.0003248657,0.0005360029,0.001847227,0.000178187,0.0001049032,0.0004091101,0.001003559,0.000573424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120783,"about_ca_system_score_gemma":0.000211152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008978424,"about_ca_topic_score_gemma":0.00002975304,"domain_scores_codex":[0.9969921,0.0002710649,0.0005034401,0.001433799,0.000471337,0.0003283157],"domain_scores_gemma":[0.9984296,0.0001759726,0.0002756806,0.0009074057,0.0000772968,0.0001340645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001174679,0.00005969595,0.00002361484,0.00007529517,0.00007938096,0.00002538392,0.0001495653,0.0003879532,0.9792088,0.01817291,0.001145824,0.000659838],"study_design_scores_gemma":[0.0001197642,0.00001737745,0.001823284,0.00003283381,0.0007523316,0.00004934313,0.0003687802,0.7065092,0.2765081,0.01225179,0.001014855,0.0005523482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8631108,0.00009984103,0.0439577,0.0156416,0.00244853,0.0009693708,0.0001571075,0.001947436,0.07166759],"genre_scores_gemma":[0.9909247,0.00001070871,0.002864719,0.001337663,0.0002581274,0.00006025116,0.00002671428,0.00005573998,0.004461333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7061212,"threshold_uncertainty_score":0.9999204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07971625213877605,"score_gpt":0.3316843715916016,"score_spread":0.2519681194528256,"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."}}