{"id":"W4224280836","doi":"10.3390/diagnostics12041018","title":"Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier","year":2022,"lang":"en","type":"article","venue":"Diagnostics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Prince Mohammad Bin Fahd University","keywords":"Artificial intelligence; Support vector machine; Computer science; Classifier (UML); Glioma; Artificial neural network; Pattern recognition (psychology); Medicine; Cancer research","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":[],"consensus_categories":[],"category_scores_codex":[0.0002479321,0.0002389441,0.0001931432,0.0001829578,0.001063858,0.0001363473,0.0003742119,0.00006529129,0.0002548336],"category_scores_gemma":[0.0007835704,0.0002292078,0.00007510881,0.001286694,0.0001906636,0.0001419486,0.00008274854,0.0005148423,0.00002783487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415607,"about_ca_system_score_gemma":0.0001204271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001307077,"about_ca_topic_score_gemma":0.00002250372,"domain_scores_codex":[0.9975067,0.0004272992,0.000308772,0.0006257057,0.0006836237,0.0004478547],"domain_scores_gemma":[0.9979737,0.0009755346,0.0003041241,0.0005283993,0.00007771858,0.0001405324],"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":[0.0009071362,0.001587757,0.02600893,0.0001052118,0.00003631796,0.0009866533,0.0007735203,0.3710217,0.5157952,0.04470722,0.01746357,0.02060675],"study_design_scores_gemma":[0.00225571,0.0008028178,0.1174547,0.00005679436,0.0001311567,0.0008921345,0.0009188456,0.7165976,0.128758,0.001056631,0.02980103,0.001274552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790068,0.0001677487,0.01243417,0.002558934,0.001362377,0.0009118181,0.00007259597,0.0005425533,0.002942998],"genre_scores_gemma":[0.9960412,0.000008872002,0.0006765922,0.00255677,0.0002147989,0.0002071883,0.00003486346,0.00005983232,0.0001999205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870372,"threshold_uncertainty_score":0.9346821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05215690987140605,"score_gpt":0.272900630999545,"score_spread":0.2207437211281389,"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."}}