{"id":"W4353100319","doi":"10.18280/ts.400141","title":"Inter and Intra Slice Reduction in Brain Tumor Segmentation","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Segmentation; Artificial intelligence; Wafer; Computer science; Pattern recognition (psychology); Mathematics; Materials science; Nanotechnology; Geometry","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":[0.0003267313,0.00008733691,0.00007251954,0.0002177379,0.00008475967,0.00005969139,0.00006679081,0.00002333559,0.0002489545],"category_scores_gemma":[0.00007306301,0.00008870772,0.00001997706,0.0005117816,0.00005797821,0.0002283646,0.00002078193,0.0001045212,0.0001074576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006333571,"about_ca_system_score_gemma":0.00001258013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000147027,"about_ca_topic_score_gemma":0.00001364508,"domain_scores_codex":[0.9990126,0.0001325748,0.0002173547,0.0003023304,0.00017174,0.000163354],"domain_scores_gemma":[0.9997121,0.00008931706,0.00006445241,0.00007574221,0.00001175297,0.00004664891],"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":[0.00004397196,0.00004219815,0.0002231665,0.00001360866,0.000001339433,0.000007508954,0.00112288,0.0000454238,0.9711021,0.001023617,0.00167268,0.02470151],"study_design_scores_gemma":[0.001921472,0.0002533183,0.06177268,0.00004850452,0.00000887379,0.0001096713,0.003146153,0.02703054,0.8987499,0.001430709,0.005211876,0.0003162642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935864,0.000002807436,0.0008722951,0.004300806,0.0002111585,0.0002880103,0.000004324096,0.0001597751,0.0005744752],"genre_scores_gemma":[0.9983735,0.000009054542,0.00004557521,0.0009278163,0.0000835458,0.00008106083,0.000007892014,0.00001082247,0.0004607045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07235216,"threshold_uncertainty_score":0.3617396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708803955734948,"score_gpt":0.2781067201698821,"score_spread":0.2410186806125326,"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."}}