{"id":"W4281740629","doi":"10.1016/j.cca.2022.04.710","title":"T222 Screening for Covid-19 with cellular morphometric parameters on the routine hematology analyzer DXH 800","year":2022,"lang":"en","type":"article","venue":"Clinica Chimica Acta","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Hematology analyzer; Coronavirus disease 2019 (COVID-19); Hematology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Internal medicine; Pathology; Disease; Infectious disease (medical specialty)","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":[0.0003686336,0.0008380684,0.0003693663,0.001609123,0.0005597576,0.0007320184,0.0005638489,0.0006117533,0.003514371],"category_scores_gemma":[0.0009935512,0.000196567,0.0003633662,0.0009938949,0.0003298174,0.0003354561,0.0004115133,0.0006589188,0.001261686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403346,"about_ca_system_score_gemma":0.0003794073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003199177,"about_ca_topic_score_gemma":0.0025345,"domain_scores_codex":[0.9994565,0.00011367,0.00004220035,0.000116476,0.0001900257,0.00008117931],"domain_scores_gemma":[0.9996769,0.00005423167,0.00005181914,0.00003456797,0.0001155677,0.0000668228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009434192,0.0003399334,0.8455942,0.0001670974,0.0001456662,0.01101448,0.0004496624,0.0003354924,0.09198604,0.0008789747,0.009465785,0.03867924],"study_design_scores_gemma":[0.0001022615,0.0015762,0.789591,0.000303102,0.0004601435,0.07028187,0.001329411,0.006322296,0.08271915,0.002531752,0.04469926,0.00008345032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503435,0.004761225,0.00786207,0.001527857,0.0002884341,0.0002507491,0.00271182,0.0004040039,0.03185028],"genre_scores_gemma":[0.9880404,0.0009133883,0.004002428,0.0006396083,0.0001198997,0.0000674891,0.0017886,0.0000490805,0.004379082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003514371,"threshold_uncertainty_score":0.01175678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127367242385346,"score_gpt":0.3659057982764354,"score_spread":0.2531690740379008,"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."}}