{"id":"W4229452393","doi":"10.18280/ts.390206","title":"Automated COVID-19 Detection from WBC-DIFF Scattergram Images with Hybrid CNN Model Using Feature Selection","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Support vector machine; Feature extraction; HSL and HSV; Feature selection; Convolutional neural network; Coronavirus disease 2019 (COVID-19); Computer science; White blood cell; Feature (linguistics); Mathematics; Medicine; Pathology; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003263284,0.0003259389,0.0003648502,0.0003489806,0.0007369732,0.00008748762,0.0001410421,0.00006562541,0.0008163955],"category_scores_gemma":[0.00004868934,0.0003150192,0.0001217904,0.0005593745,0.00007937619,0.0001798507,0.00008751939,0.0004816265,0.000008147257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927941,"about_ca_system_score_gemma":0.0005460992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133684,"about_ca_topic_score_gemma":0.00009529758,"domain_scores_codex":[0.9976088,0.0001754053,0.0003142389,0.0006589983,0.000826944,0.0004155637],"domain_scores_gemma":[0.9990133,0.0001397615,0.0002039457,0.0002573536,0.0001110437,0.000274601],"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":[0.001236162,0.0006742445,0.003239214,0.0001376424,0.0002716924,0.000134143,0.0007152912,0.6251059,0.3396037,0.000002859432,0.02669814,0.00218094],"study_design_scores_gemma":[0.004148823,0.0008385862,0.003860346,0.000074132,0.000546876,0.0002408808,0.0001755629,0.9447215,0.03751681,0.00008019753,0.007403451,0.0003928251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9042138,0.0001094907,0.0808178,0.01224241,0.0001530138,0.0009237734,0.0001713668,0.001351109,0.000017265],"genre_scores_gemma":[0.9782206,0.000005418604,0.004146426,0.01671048,0.0002405204,0.0002030935,0.0002636542,0.00007479398,0.0001350235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3196156,"threshold_uncertainty_score":0.9999302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624452143911348,"score_gpt":0.2984612472924261,"score_spread":0.2722167258533126,"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."}}