{"id":"W4377832587","doi":"10.18280/ts.400232","title":"Feature Extraction for Medical Image Classification: A Novel Statistical Approach","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Feature extraction; Artificial intelligence; Feature (linguistics); Image (mathematics); Computer science; Feature detection (computer vision); Contextual image classification; Extraction (chemistry); Image processing; Chemistry","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":[0.0006186915,0.0001517254,0.0001372239,0.0001351507,0.0002904854,0.0001079218,0.000223659,0.0001268145,0.0005798899],"category_scores_gemma":[0.0005974727,0.0001401563,0.00007674784,0.000499602,0.0001492483,0.0001936236,0.00002264321,0.0002413671,0.0001916062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006954171,"about_ca_system_score_gemma":0.00008692261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001245406,"about_ca_topic_score_gemma":0.00000159392,"domain_scores_codex":[0.9980658,0.00008939525,0.0002619649,0.000542164,0.0007275593,0.0003131395],"domain_scores_gemma":[0.9989383,0.000528788,0.0001100984,0.0001785315,0.00006072817,0.0001835229],"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":[0.0001479344,0.0003896831,0.0000172748,0.00006343791,0.000008127223,0.000007788304,0.0001366092,0.00002038278,0.8543165,0.0759458,0.05084541,0.01810108],"study_design_scores_gemma":[0.003162582,0.0002730919,0.02522661,0.00002473852,0.00004458311,0.0001768395,0.000677611,0.7591798,0.05895256,0.001236035,0.1505571,0.0004883443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0101699,0.000003921403,0.9704563,0.01279203,0.0004322866,0.0008930868,0.0001852778,0.0006015567,0.004465655],"genre_scores_gemma":[0.9898777,0.00001133422,0.005946194,0.001029356,0.0004812047,0.0006387287,0.0002059786,0.00003477118,0.001774723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9797078,"threshold_uncertainty_score":0.6349388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0772070768837313,"score_gpt":0.3301398715225987,"score_spread":0.2529327946388674,"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."}}