{"id":"W4298008083","doi":"10.14740/cii154","title":"Transfer Learning-Based Model for Automated COVID-19 Detection Using Computerized Tomography Scan Graph","year":2022,"lang":"en","type":"article","venue":"Clinical Infection and Immunity","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Transfer of learning; Computer science; Tomography; Artificial intelligence; Graph; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computed tomography; Computer vision; Medical physics; Medicine; Radiology; Virology; Infectious disease (medical specialty); Theoretical computer science; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001692094,0.0001756807,0.0004213074,0.0003828144,0.001258116,0.00004131686,0.00006159542,0.0001478662,0.00007056601],"category_scores_gemma":[0.0008423381,0.0001877899,0.0004112395,0.0006308972,0.0002116259,0.00009285229,0.00006013816,0.0008076542,7.564814e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394743,"about_ca_system_score_gemma":0.000391075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076717,"about_ca_topic_score_gemma":0.0001025633,"domain_scores_codex":[0.9979475,0.0007449235,0.0005573441,0.000351141,0.0001769242,0.0002221463],"domain_scores_gemma":[0.998153,0.001060898,0.0001114784,0.000256636,0.0001308947,0.0002871062],"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":[0.003874514,0.002921298,0.06942225,0.000608335,0.0003254703,0.000006701599,0.0004108747,0.8916614,0.01433771,0.00003193096,0.001196327,0.0152032],"study_design_scores_gemma":[0.006019741,0.001571091,0.02454277,0.00002727758,0.0002242411,0.00002167036,0.00003421318,0.9522064,0.0002188075,0.0001025652,0.01484149,0.0001897112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71174,0.00002782244,0.2845566,0.001981347,0.0003766815,0.0005724122,0.00001558167,0.0007257498,0.000003752613],"genre_scores_gemma":[0.9786396,0.00004187103,0.0007449451,0.02026903,0.00005779309,0.0001148307,0.00008473561,0.00003119951,0.00001597569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2838117,"threshold_uncertainty_score":0.9676536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364691823548999,"score_gpt":0.4264936959285001,"score_spread":0.2900245135736002,"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."}}