{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003359932,0.0001357762,0.0001017746,0.0002425121,0.0006432304,0.00008606261,0.0001219098,0.0000258508,0.0007043852],"category_scores_gemma":[0.0002205031,0.0001472671,0.00007062186,0.0009233549,0.00005114482,0.0002793433,0.00003195016,0.0001716159,0.0002403991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121376,"about_ca_system_score_gemma":0.00002379661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087655,"about_ca_topic_score_gemma":0.00002933274,"domain_scores_codex":[0.998444,0.0002074477,0.0003021131,0.0003886874,0.0003312026,0.0003265972],"domain_scores_gemma":[0.9993872,0.0002311738,0.0001495519,0.0001140886,0.00003415394,0.00008385623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002765513,0.00002713393,0.0001299378,0.000008654388,0.000003380154,0.000007802195,0.0003308124,0.005091768,0.937134,0.0004310487,0.00004347842,0.05676429],"study_design_scores_gemma":[0.001155245,0.00019916,0.01138569,0.00001334406,0.0000168311,0.00004680515,0.00169496,0.3363851,0.6370544,0.0003401756,0.01142998,0.0002782366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682013,0.000003528406,0.02944299,0.0005630645,0.0002729327,0.0003590928,0.000006918884,0.0005953227,0.0005548419],"genre_scores_gemma":[0.9986171,0.000004376542,0.000158552,0.0006846252,0.0001096109,0.00009184371,0.00001201653,0.00002714935,0.0002946852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3312933,"threshold_uncertainty_score":0.7712523,"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."}}