{"id":"W4288489840","doi":"10.3390/v14081667","title":"Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features","year":2022,"lang":"en","type":"article","venue":"Viruses","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Prince Mohammad Bin Fahd University; Qassim University","keywords":"Coronavirus disease 2019 (COVID-19); Artificial intelligence; Machine learning; Pandemic; Pneumonia; Computer science; Support vector machine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Classifier (UML); Deep learning; Process (computing); Feature extraction; Medicine; Pattern recognition (psychology); Infectious disease (medical specialty); Disease; 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":[0.0005391039,0.001118933,0.0006996025,0.002806249,0.0002561576,0.0006871852,0.0008638144,0.001039454,0.0008246475],"category_scores_gemma":[0.001715166,0.0003385927,0.001064941,0.001030981,0.0001974083,0.0008660895,0.0007212218,0.0007607036,0.0005773902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006097636,"about_ca_system_score_gemma":0.0007840153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115958,"about_ca_topic_score_gemma":0.0142517,"domain_scores_codex":[0.999553,0.00005689189,0.00005053318,0.0001379672,0.0000974336,0.0001041257],"domain_scores_gemma":[0.9996185,0.0001073989,0.00005904181,0.00004364844,0.0001339158,0.00003748032],"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":[0.001283974,0.001160352,0.1415145,0.0005604902,0.0006376372,0.002401612,0.0001572971,0.1116208,0.06104988,0.0009586329,0.01386918,0.6647857],"study_design_scores_gemma":[0.00003751824,0.0001590533,0.0264207,0.00005129848,0.00008750616,0.0006484158,0.00005711625,0.9527865,0.01717154,0.0009522754,0.001589182,0.00003886026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616699,0.002541805,0.2190367,0.0007043692,0.0002341582,0.0004689601,0.00782852,0.004587557,0.002928049],"genre_scores_gemma":[0.8927359,0.0006543118,0.09336518,0.0002392087,0.0000852459,0.0002064723,0.01093912,0.00004318149,0.001731407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01115958,"threshold_uncertainty_score":0.0221892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05791515849909522,"score_gpt":0.3361427818980977,"score_spread":0.2782276233990024,"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."}}