{"id":"W4408697129","doi":"10.1109/icrisst59181.2024.10921845","title":"Tuberculosis and Pneumonia Detection Using CNN","year":2024,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Tuberculosis; Pneumonia; Computer science; Medicine; Artificial intelligence; Pathology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553665,0.000687078,0.0003213676,0.0009732855,0.0001964288,0.000552703,0.0005043922,0.0006948363,0.002166066],"category_scores_gemma":[0.0008538744,0.0002167233,0.0005107014,0.0005312334,0.0001410558,0.000441351,0.0004126059,0.0003397517,0.0007312894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007393355,"about_ca_system_score_gemma":0.0006598815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150055,"about_ca_topic_score_gemma":0.0128896,"domain_scores_codex":[0.999811,0.00001731388,0.00001319891,0.00005610602,0.00004965743,0.00005264454],"domain_scores_gemma":[0.9998441,0.00003082382,0.00002705361,0.00001506472,0.00006975117,0.00001327721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006825017,0.0002907251,0.04477685,0.0002838229,0.0002871718,0.001202908,0.00009025125,0.1102017,0.05537305,0.002882335,0.01605614,0.7678725],"study_design_scores_gemma":[0.00001966768,0.0001253732,0.01537026,0.00005482197,0.00009431174,0.0005402798,0.00003848051,0.9513544,0.02446491,0.001588637,0.00632359,0.00002535724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5550831,0.006601499,0.3906243,0.001862324,0.0007343059,0.0003397195,0.004596166,0.007996078,0.03216249],"genre_scores_gemma":[0.9253974,0.001500535,0.0596627,0.0005153473,0.0001327781,0.00008075138,0.003380918,0.00006539995,0.009264144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150055,"threshold_uncertainty_score":0.0228672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935369695301869,"score_gpt":0.3285888903254398,"score_spread":0.299235193372421,"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."}}