{"id":"W3140656083","doi":"10.18280/ria.350104","title":"A Weight Based Labeled Classifier Using Machine Learning Technique for Classification of Medical Data","year":2021,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Classifier (UML); Pattern recognition (psychology); Machine learning","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":[0.001504777,0.0005866876,0.001188489,0.001573542,0.0008430487,0.001230651,0.001801926,0.001657625,0.001654308],"category_scores_gemma":[0.003686855,0.0002616729,0.0009798453,0.001466152,0.0004030103,0.001639636,0.0006599664,0.00148262,0.001234118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008436635,"about_ca_system_score_gemma":0.001353322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005766963,"about_ca_topic_score_gemma":0.005194841,"domain_scores_codex":[0.9983268,0.0003247699,0.0001592889,0.0003258303,0.0007242987,0.0001390851],"domain_scores_gemma":[0.9984422,0.0005093024,0.0001246987,0.0001372283,0.000732518,0.00005402931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002787882,0.0005808486,0.006895748,0.0001951336,0.0001496609,0.0002767598,0.0001612674,0.0873422,0.01207164,0.005868746,0.009145664,0.8770336],"study_design_scores_gemma":[0.00001008883,0.0001074381,0.0006622549,0.00002837662,0.00002389788,0.00009847969,0.00003218858,0.9909679,0.003540777,0.00235894,0.002151841,0.00001768481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02582912,0.000735779,0.9687129,0.0005367759,0.0003723686,0.000200319,0.0002184231,0.001297161,0.002097269],"genre_scores_gemma":[0.4540857,0.000817921,0.5334299,0.0005616543,0.0004078297,0.0004490238,0.001357216,0.00009434944,0.008796402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005766963,"threshold_uncertainty_score":0.0114668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3836713155894665,"score_gpt":0.5023137194165473,"score_spread":0.1186424038270808,"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."}}