{"id":"W4229443674","doi":"10.18280/ts.390214","title":"A New Hybrid Breast Cancer Diagnosis Model Using Deep Learning Model and ReliefF","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"AI in cancer detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Support vector machine; Computer science; Machine learning; Convolutional neural network; Naive Bayes classifier; Deep learning; Breast cancer; Pattern recognition (psychology); Transfer of learning; Classifier (UML); Artificial neural network; Cancer; 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":[0.0002700319,0.0004535554,0.000739266,0.0005028637,0.0001982974,0.0005346399,0.001244158,0.001093913,0.001308051],"category_scores_gemma":[0.0005214603,0.0002842425,0.0007813698,0.0004617445,0.0002318718,0.0005549928,0.0004189666,0.0006753223,0.000427481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006034718,"about_ca_system_score_gemma":0.0005337541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007182905,"about_ca_topic_score_gemma":0.005564497,"domain_scores_codex":[0.9998902,0.00001356685,0.000005103138,0.00003283837,0.0000346367,0.00002350522],"domain_scores_gemma":[0.9998701,0.00004056215,0.00001563655,0.000009411742,0.00005610918,0.000008158392],"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":[0.00008123675,0.00005858355,0.001673017,0.00009660306,0.00006533373,0.000195199,0.00004289745,0.8654391,0.00544667,0.003084811,0.002875263,0.1209413],"study_design_scores_gemma":[0.00000303883,0.00001015209,0.0001029049,0.000002717886,0.000004298572,0.00003383856,0.000001392661,0.9989807,0.0002795022,0.000285218,0.0002932051,0.000003040311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06825548,0.001846186,0.9220175,0.0009454521,0.0001722908,0.00006934543,0.0004326404,0.001466357,0.004794708],"genre_scores_gemma":[0.8619263,0.00088617,0.1249965,0.0005174448,0.00009912954,0.0001985761,0.0006921093,0.00008127504,0.01060257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007182905,"threshold_uncertainty_score":0.01428217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322270039703138,"score_gpt":0.2461706726459423,"score_spread":0.2229479722489109,"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."}}