{"id":"W3033108855","doi":"10.18280/isi.250216","title":"Revised Grey Wolf Optimized SVM-KNN Ensemble Based Automated Diagnosis of Breast Cancer","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"AI in cancer detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Support vector machine; Breast cancer; Pattern recognition (psychology); Computer science; Cancer; Medicine; Internal medicine","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":[0.0009003137,0.0005450986,0.0009408662,0.0006296134,0.0002809362,0.000504769,0.0008003059,0.0006531958,0.0006708055],"category_scores_gemma":[0.001506101,0.0002398771,0.0006088243,0.0003982721,0.0001950423,0.0006712244,0.0005192725,0.0005340485,0.0002273026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005223321,"about_ca_system_score_gemma":0.0006226947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006566299,"about_ca_topic_score_gemma":0.006838429,"domain_scores_codex":[0.9995081,0.0001215661,0.00003432396,0.0001179012,0.0001369551,0.00008115502],"domain_scores_gemma":[0.9995679,0.0001456621,0.00004604692,0.0000407892,0.0001722083,0.0000274455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001701152,0.00009684725,0.006763965,0.00004525407,0.0001478889,0.0001038593,0.00005555818,0.7888795,0.00644411,0.001005559,0.001868231,0.1944192],"study_design_scores_gemma":[0.000002611632,0.00002398684,0.0005998558,0.000003010287,0.00001236814,0.00001791732,0.000004780251,0.9980908,0.0007602278,0.0003375927,0.0001438335,0.000002926311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2432495,0.001427608,0.7492678,0.0004485165,0.000121594,0.00007725787,0.0002201378,0.0008846892,0.004302884],"genre_scores_gemma":[0.943581,0.0002536664,0.05327055,0.000140628,0.00004518284,0.00004027845,0.0002520986,0.00003302263,0.002383554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006566299,"threshold_uncertainty_score":0.01305616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721738603898206,"score_gpt":0.2417240411750733,"score_spread":0.2245066551360912,"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."}}