{"id":"W4389304750","doi":"10.1016/j.asoc.2023.111123","title":"A disease diagnosis system for smart healthcare based on fuzzy clustering and battle royale optimization","year":2023,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Department of Science and Technology of Jilin Province","keywords":"Computer science; Cluster analysis; Fuzzy logic; Data mining; Artificial intelligence; Machine learning; Fuzzy clustering; Precision and recall; Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001033938,0.000219527,0.000324338,0.000192972,0.002043154,0.00002966006,0.0001550383,0.0001800683,0.00001399424],"category_scores_gemma":[0.000500217,0.0002302922,0.00005815953,0.0004141056,0.00004182497,0.00003913889,0.0001718108,0.0003634611,0.0001309004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301306,"about_ca_system_score_gemma":0.0002322805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003911878,"about_ca_topic_score_gemma":0.0001934211,"domain_scores_codex":[0.9974918,0.0002210755,0.0006915493,0.0005718915,0.0002535525,0.0007701062],"domain_scores_gemma":[0.9940352,0.0048161,0.0002590283,0.0003565022,0.0001794442,0.0003537205],"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":[0.0002880176,0.00003909774,0.1159451,0.006474443,0.00001292682,0.000008286858,0.002747514,0.8453993,0.000008788027,0.00399744,0.001464776,0.02361433],"study_design_scores_gemma":[0.0003049741,0.00005704963,0.002846155,0.001135993,0.0000157448,1.590403e-7,0.004073576,0.9906671,0.00002191753,0.0002032887,0.0004611305,0.0002128949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3452777,0.000264252,0.6183628,0.01326558,0.00535153,0.01124149,0.0002950855,0.004035062,0.001906481],"genre_scores_gemma":[0.9911889,0.000009281309,0.005593454,0.001357105,0.0004600589,0.001131862,0.000140422,0.00008060595,0.00003835449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6459112,"threshold_uncertainty_score":0.9992561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09620213078304012,"score_gpt":0.4027147497461537,"score_spread":0.3065126189631136,"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."}}