{"id":"W4321016468","doi":"10.1155/2023/4301745","title":"Detection of COVID‐19 Case from Chest CT Images Using Deformable Deep Convolutional Neural Network","year":2023,"lang":"en","type":"article","venue":"Journal of Healthcare Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Khulna University; King Saud University","keywords":"Convolutional neural network; Artificial intelligence; Deep learning; Computer science; Coronavirus disease 2019 (COVID-19); Pattern recognition (psychology); Image registration; Machine learning; Infectious disease (medical specialty); Pathology; Medicine; Image (mathematics); Disease","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":[0.0006527554,0.0001546836,0.0004358405,0.0003642157,0.0001234661,0.00001645372,0.00007210391,0.00006947845,0.00001660971],"category_scores_gemma":[0.0006967859,0.0001505921,0.0001676967,0.0006003013,0.00002736889,0.0001880746,0.00004025965,0.0004891304,0.000002562614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007526261,"about_ca_system_score_gemma":0.0004717601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274879,"about_ca_topic_score_gemma":0.0001170854,"domain_scores_codex":[0.9984032,0.00005151572,0.0006840956,0.0001395705,0.0003615442,0.0003600726],"domain_scores_gemma":[0.9983308,0.0005106855,0.0003484526,0.0001574704,0.0002527004,0.0003999172],"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":[0.0001361381,0.00003259478,0.009568648,0.0008986287,0.0001161019,0.005252324,0.0002805403,0.9668698,0.01348839,0.00001068923,0.0003992397,0.002946847],"study_design_scores_gemma":[0.00206715,0.0004542011,0.02943239,0.0009698159,0.0002351733,0.02440609,0.0003854723,0.9292383,0.005067817,0.00006816854,0.007414536,0.0002609178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700971,0.002965292,0.01922333,0.006306913,0.001153272,0.0001516458,0.0000181517,0.00008364308,7.001076e-7],"genre_scores_gemma":[0.9937874,0.0001583707,0.004120299,0.0008452923,0.001036864,0.000002700714,0.000008408071,0.00003680877,0.000003821151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03763159,"threshold_uncertainty_score":0.6140967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427888264543686,"score_gpt":0.3306680465819815,"score_spread":0.2878792201276129,"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."}}