{"id":"W4386050877","doi":"10.1111/exsy.13427","title":"A deep convolutional neural network model for medical data classification from computed tomography images","year":2023,"lang":"en","type":"article","venue":"Expert Systems","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Deep learning; Medical diagnosis; Machine learning; Medical imaging; Feature extraction; Usability; Pattern recognition (psychology); Radiology","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":[0.0006525975,0.0006944647,0.000393137,0.0009857316,0.0002467635,0.0006299309,0.0009844895,0.0009907641,0.001896908],"category_scores_gemma":[0.001318102,0.0002645027,0.0005784464,0.000810699,0.0002559073,0.0005629704,0.0005534574,0.0009800331,0.0006882817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134609,"about_ca_system_score_gemma":0.001076458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02364369,"about_ca_topic_score_gemma":0.01929418,"domain_scores_codex":[0.9997579,0.00003659681,0.00002064113,0.00006631985,0.00007213157,0.00004646708],"domain_scores_gemma":[0.9996424,0.0001248384,0.0000392388,0.0000292107,0.0001441202,0.00002027413],"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":[0.0005732466,0.0004244504,0.008685249,0.0001762512,0.0001677978,0.0004232507,0.0000851575,0.5386894,0.01708705,0.004230413,0.009948622,0.4195092],"study_design_scores_gemma":[0.000002635861,0.00001234242,0.0004051675,0.000004222564,0.000006549616,0.00001599485,0.000002582452,0.9977487,0.001228273,0.0003119964,0.0002585895,0.00000299935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1607841,0.002478811,0.8244438,0.001468628,0.0002822544,0.0001998632,0.00192307,0.003788813,0.004630628],"genre_scores_gemma":[0.8579813,0.0009545214,0.1307614,0.0003522929,0.00009007409,0.0001920837,0.002762194,0.00005822957,0.006847918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02364369,"threshold_uncertainty_score":0.04701209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163210937654954,"score_gpt":0.369747794036948,"score_spread":0.2534267002714526,"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."}}