{"id":"W4313466951","doi":"10.32604/csse.2023.025705","title":"A Robust Automated Framework for Classification of CT Covid-19 Images Using MSI-ResNet","year":2022,"lang":"en","type":"article","venue":"Computer Systems Science and Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Taif University","keywords":"Artificial intelligence; Preprocessor; Coronavirus disease 2019 (COVID-19); Computer science; Classifier (UML); Pattern recognition (psychology); Medicine; Disease; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001217995,0.00219552,0.001548358,0.002677263,0.0005906322,0.001188525,0.002756993,0.002408897,0.003010654],"category_scores_gemma":[0.001696856,0.0007559626,0.002343638,0.001199206,0.0005856783,0.00127473,0.001278236,0.001769874,0.002476784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492788,"about_ca_system_score_gemma":0.001665579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01718797,"about_ca_topic_score_gemma":0.01737654,"domain_scores_codex":[0.9992002,0.0001031443,0.00006087401,0.0002800236,0.0001930801,0.0001627213],"domain_scores_gemma":[0.9996158,0.00006908529,0.00005117041,0.00005351761,0.0001763295,0.00003411523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005391168,0.0004973136,0.003539271,0.0002881804,0.0002902732,0.0006279784,0.0001043934,0.2029182,0.02234901,0.004408933,0.02830662,0.7361307],"study_design_scores_gemma":[0.00001108006,0.00006430475,0.0005314891,0.00002090864,0.00002467491,0.00009101999,0.00001723741,0.9905923,0.004628422,0.001959849,0.00204142,0.00001722831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03625241,0.00193266,0.9384765,0.0009023935,0.0004170109,0.0004258304,0.002325769,0.01581255,0.003454797],"genre_scores_gemma":[0.4332946,0.001714868,0.5317699,0.001120212,0.0005617359,0.0009051958,0.01425873,0.0008701257,0.01550458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01718797,"threshold_uncertainty_score":0.03417587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08215806587383435,"score_gpt":0.3303472806270992,"score_spread":0.2481892147532649,"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."}}