{"id":"W4377832624","doi":"10.18280/ts.400236","title":"Automated Classification of Brain Tumor Disease with a Novel CNN Relief and SVM-Based Deep Hybrid Model","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Artificial intelligence; Computer science; Pattern recognition (psychology); Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002732192,0.0001617831,0.0001481322,0.0002042723,0.0001547235,0.0000495971,0.0001465528,0.00002152153,0.00005223104],"category_scores_gemma":[0.0001362739,0.0001436877,0.00004542819,0.0005338687,0.0001784893,0.0001501845,0.00001979072,0.00009238401,0.00001983384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000453453,"about_ca_system_score_gemma":0.00011441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003408319,"about_ca_topic_score_gemma":0.000002561148,"domain_scores_codex":[0.9984811,0.00008339399,0.000311941,0.0004622603,0.0004325047,0.0002287866],"domain_scores_gemma":[0.9991642,0.0001831804,0.000198842,0.0002290948,0.00005969142,0.0001649977],"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":[0.0003414417,0.000274849,0.0002834706,0.00007567824,0.000005611467,0.000009377766,0.0001084101,0.01110194,0.9825515,0.003284545,0.0008371136,0.001126017],"study_design_scores_gemma":[0.001072045,0.000135978,0.03202059,0.00003327502,0.00002079175,0.000003662099,0.00005146941,0.8973799,0.06877316,0.0001441897,0.0002090103,0.0001559084],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428363,0.000006168208,0.05205867,0.003259461,0.00004875357,0.0005661788,0.000168375,0.0008487932,0.0002072742],"genre_scores_gemma":[0.9984537,0.000002803278,0.0003316852,0.0008264186,0.00002189038,0.0001362516,0.00004939634,0.00002731556,0.0001504914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9137784,"threshold_uncertainty_score":0.5859414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404549866717334,"score_gpt":0.2623830953504084,"score_spread":0.221928108678675,"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."}}