{"id":"W4415289410","doi":"10.71335/y533y670","title":"Enhancing Brain Tumor Classification Using Deep Learning","year":2025,"lang":"","type":"article","venue":"Midocean Journal for Research and Studies","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Convolutional neural network; Artificial neural network; Recall; Transformer; Deep neural networks; Pattern recognition (psychology); Feature extraction","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":[0.000957538,0.001199588,0.0006981316,0.001580136,0.0002158222,0.001078406,0.0009010157,0.0009571183,0.001028597],"category_scores_gemma":[0.002261521,0.0002589466,0.0007766449,0.0007590309,0.0002678534,0.001148538,0.0009669901,0.0008858437,0.0009372186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006504984,"about_ca_system_score_gemma":0.0007826098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016683,"about_ca_topic_score_gemma":0.007130214,"domain_scores_codex":[0.9995885,0.0000757703,0.00002468715,0.000105388,0.0001292728,0.00007638963],"domain_scores_gemma":[0.9992542,0.0002852863,0.00009854738,0.00008286872,0.0002391615,0.00003992092],"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":[0.0003322866,0.0003728076,0.01276426,0.0002509494,0.0001531503,0.0002540608,0.00007885336,0.1580136,0.02645691,0.001745426,0.007206887,0.7923707],"study_design_scores_gemma":[0.00001039876,0.0001098933,0.00204778,0.0000328373,0.00005263474,0.0001990013,0.00003241489,0.9773276,0.0156834,0.0023302,0.002156451,0.00001738081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.304233,0.004755319,0.67739,0.001337697,0.0003049963,0.0001867029,0.0009656576,0.00531623,0.005510344],"genre_scores_gemma":[0.8689249,0.001312785,0.1226948,0.0005072854,0.000108506,0.00006612808,0.001730909,0.0001246208,0.00453005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004016683,"threshold_uncertainty_score":0.007986665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2758436126492256,"score_gpt":0.4758896150009047,"score_spread":0.2000460023516791,"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."}}