{"id":"W4313403474","doi":"","title":"A Hybrid Diagnostic System to Detect COVID-19 Based on Selected Deep Features of Chest CT Images and SVM","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Support vector machine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Artificial intelligence; Pattern recognition (psychology); Computer science; Radiology; Medicine; Virology; Pathology","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":[0.0005832129,0.0009627761,0.0009501722,0.001476522,0.0002775736,0.000744435,0.0008275073,0.001187955,0.002045152],"category_scores_gemma":[0.0008898688,0.0002975616,0.0006718903,0.0006039937,0.0001236226,0.0005876558,0.0007447344,0.0006224239,0.001441362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188638,"about_ca_system_score_gemma":0.0004584868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00187898,"about_ca_topic_score_gemma":0.002839627,"domain_scores_codex":[0.9996911,0.00003320573,0.00002266124,0.0001165798,0.00007646746,0.00006000717],"domain_scores_gemma":[0.9996399,0.0001034583,0.00003223799,0.00003177519,0.0001381271,0.00005452046],"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":[0.0008109142,0.000473131,0.01688826,0.0002953627,0.0002761608,0.0004319472,0.00006457465,0.008454809,0.0901305,0.0006285906,0.01474227,0.8668035],"study_design_scores_gemma":[0.00009689858,0.0005447085,0.02256671,0.00006528522,0.000292058,0.001045175,0.00007156945,0.9037319,0.06361071,0.00193028,0.005984544,0.00006016891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1988402,0.003998714,0.7675264,0.001128085,0.0008299151,0.0005250159,0.003377066,0.01865533,0.005119365],"genre_scores_gemma":[0.7450527,0.000894443,0.2416078,0.0009226816,0.0004393287,0.0003034749,0.003495153,0.0002053812,0.007079099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002045152,"threshold_uncertainty_score":0.006841719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398843048505635,"score_gpt":0.2667158096264808,"score_spread":0.2527273791414245,"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."}}