{"id":"W4388098520","doi":"10.18280/ts.400508","title":"Brain Tumor Detection Using Advanced Deep Learning Implementations","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Implementation; Deep learning; Computer science; Artificial intelligence; Machine learning; Software engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005508292,0.0006973333,0.0004994577,0.0009166853,0.0002773439,0.0008824684,0.001308665,0.0009173912,0.003103331],"category_scores_gemma":[0.001844979,0.0003739931,0.0005088297,0.0006228123,0.0002698478,0.0010292,0.000796925,0.00104455,0.001166782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009859031,"about_ca_system_score_gemma":0.0009339062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009834071,"about_ca_topic_score_gemma":0.01366966,"domain_scores_codex":[0.9997851,0.00003333076,0.0000147707,0.00005220781,0.00007147554,0.00004301793],"domain_scores_gemma":[0.9996232,0.0001180398,0.00004343686,0.00003931453,0.0001493181,0.0000266714],"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":[0.0002378381,0.0001863121,0.003980011,0.0001569538,0.0001354291,0.0001345834,0.00005809085,0.3074793,0.008894863,0.008767392,0.008381101,0.6615881],"study_design_scores_gemma":[0.00000610578,0.0000189666,0.0002556315,0.000009167609,0.000005983208,0.00002561838,0.000006158929,0.9945528,0.001405652,0.002894775,0.0008146205,0.000004542388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04109617,0.00172573,0.9482307,0.0007117866,0.0001400193,0.00008214417,0.0003612073,0.002755791,0.004896549],"genre_scores_gemma":[0.6876436,0.001261576,0.2998982,0.0004943152,0.0001003888,0.0001807895,0.001201477,0.0001632231,0.009056368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009834071,"threshold_uncertainty_score":0.01955366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535926908082887,"score_gpt":0.3153725107806472,"score_spread":0.2600132416998183,"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."}}