{"id":"W4302759547","doi":"10.1155/2022/9263379","title":"Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features","year":2022,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Artificial intelligence; Computer science; Pattern recognition (psychology); Segmentation; Feature selection; Classifier (UML); Feature extraction; Tuberculosis; Concatenation (mathematics); Feature (linguistics); Medicine; Pathology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002555524,0.0001388257,0.0001927935,0.0005020936,0.0004045348,0.00007263881,0.00009710056,0.00003298536,0.00001464156],"category_scores_gemma":[0.000182709,0.0001443837,0.00004272336,0.001341368,0.0002655938,0.0001509765,0.000135665,0.0002616158,4.696068e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009474412,"about_ca_system_score_gemma":0.00006779477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001681909,"about_ca_topic_score_gemma":0.000009790911,"domain_scores_codex":[0.9985977,0.00009016546,0.0002295152,0.000499062,0.0003733939,0.0002101143],"domain_scores_gemma":[0.9993201,0.0003298497,0.00006822772,0.0001024199,0.00006591687,0.0001134798],"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":[0.0001450214,0.0002916937,0.005698586,0.00005156165,0.000009492385,0.0001446119,0.0008025618,0.8426975,0.01770262,0.00004471892,0.0000381613,0.1323734],"study_design_scores_gemma":[0.0003513033,0.0002209263,0.08366831,0.00003429753,0.00002587821,0.0004865047,0.0001250343,0.9093567,0.004844878,0.0004759851,0.0002636216,0.0001466126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997178,0.000857347,0.1960058,0.002553408,0.000338338,0.0004431545,0.0000107184,0.00006765198,0.000005841284],"genre_scores_gemma":[0.9845628,0.0002005475,0.009803865,0.005350295,0.00002377069,0.00002958364,0.000006849796,0.00001199222,0.00001035289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1862019,"threshold_uncertainty_score":0.5887797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762134039753121,"score_gpt":0.3153866195257393,"score_spread":0.277765279128208,"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."}}