{"id":"W4389735073","doi":"10.1364/boe.513558","title":"Blood metal analysis of plasmas from donors with and without SARS-CoV-2 using laser-induced breakdown spectroscopy and logistic regression","year":2023,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Logistic regression; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Antibody; Blood plasma; 2019-20 coronavirus outbreak; Immunology; Virology; Pandemic; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000179745,0.0003295548,0.0007019914,0.0004225689,0.0001076498,0.00007406119,0.000175209,0.0002574323,0.0000183398],"category_scores_gemma":[0.00006165901,0.0002517384,0.00007628131,0.001100508,0.0002667107,0.0001261592,0.0001069123,0.0002848458,0.000003597285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002856312,"about_ca_system_score_gemma":0.00003580311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003677076,"about_ca_topic_score_gemma":0.0001051138,"domain_scores_codex":[0.9982643,0.00005086235,0.0003926592,0.0004326885,0.0004352311,0.0004242813],"domain_scores_gemma":[0.9990718,0.0002369873,0.0001051738,0.000340941,0.00003668578,0.0002084315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008945123,0.00006637993,0.002075613,0.00007979951,0.001361611,0.00006775503,0.0002597194,0.0007345277,0.9950566,0.00003547955,0.00005440239,0.0001186994],"study_design_scores_gemma":[0.001014538,0.0001894227,0.001403909,0.0001503246,0.001980617,0.00001441964,0.00009046275,0.2392569,0.7554393,0.00008806559,0.00005535335,0.0003166111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969726,0.00006317846,0.00197309,0.00002848929,0.000180666,0.0001452263,0.0002800874,0.0002120413,0.0001446771],"genre_scores_gemma":[0.9878074,0.0001841933,0.01168606,0.000013181,0.00008791555,0.000008282997,0.0001545833,0.00004548774,0.00001293125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2396172,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554440112782739,"score_gpt":0.2872953826939413,"score_spread":0.251750981566114,"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."}}