{"id":"W4400366340","doi":"10.4236/jcc.2024.126012","title":"Radiography Image Classification Using Deep Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Radiography; Computer science; Pattern recognition (psychology); Deep learning; Contextual image classification; Image (mathematics); Computer vision; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002838708,0.00008476569,0.0001876409,0.0003169253,0.0001503898,0.0001231548,0.0002173052,0.0000481463,0.00001005114],"category_scores_gemma":[0.0000155942,0.00007420104,0.0001614115,0.0003460655,0.0001779823,0.0002098146,0.00009963039,0.0003878166,0.000001205822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007233802,"about_ca_system_score_gemma":0.00008903805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007856671,"about_ca_topic_score_gemma":0.000001861178,"domain_scores_codex":[0.9991865,0.0000976127,0.0003724252,0.00009152162,0.0001512123,0.0001007246],"domain_scores_gemma":[0.9987143,0.0004235035,0.0001234671,0.0003964536,0.0002390165,0.0001032248],"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":[0.0004587611,0.003101418,0.06252099,0.001001929,0.003471295,0.0003481827,0.005409139,0.03531004,0.01357055,0.051885,0.1193193,0.7036033],"study_design_scores_gemma":[0.0003255269,0.00009280205,0.04428009,0.0002359172,0.0001992462,0.0007518706,0.00002620897,0.9346761,0.000005114352,0.0002791058,0.01906374,0.00006434133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05831238,0.02730837,0.8556382,0.05772888,0.0006583742,0.0001799088,0.000003761712,0.00006955287,0.0001005836],"genre_scores_gemma":[0.9364392,0.001483633,0.05935248,0.002271069,0.0004237236,0.000002203849,0.00001025359,0.00001273378,0.000004738762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.899366,"threshold_uncertainty_score":0.3025831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531199457496269,"score_gpt":0.349865223504554,"score_spread":0.2945532289295912,"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."}}