{"id":"W3132386419","doi":"10.1111/trf.16318","title":"High‐throughput detection of antibodies targeting the <scp>SARS‐CoV</scp> ‐2 <scp>Spike</scp> in longitudinal convalescent plasma samples","year":2021,"lang":"en","type":"article","venue":"Transfusion","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"U.S. Military HIV Research Program; Servier","keywords":"Antibody; Virology; Convalescent plasma; Immunology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Flow cytometry; Coronavirus; Glycoprotein; Biology; Spike (software development); Coronavirus disease 2019 (COVID-19); Virus; Medicine; Disease; Internal medicine; Infectious disease (medical specialty); Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007186873,0.0003156933,0.0006015074,0.0002462575,0.0002385077,0.0000437933,0.0002169197,0.0002317795,0.000008497043],"category_scores_gemma":[0.001194192,0.000226423,0.0002543713,0.0007529444,0.0002719469,0.0001540968,0.00009343201,0.0005549058,0.00003994535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492615,"about_ca_system_score_gemma":0.0002689714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514826,"about_ca_topic_score_gemma":0.002029512,"domain_scores_codex":[0.9969873,0.0002551283,0.0006454125,0.0006257442,0.000833376,0.0006530425],"domain_scores_gemma":[0.9976771,0.001369101,0.0001244464,0.0004507356,0.00033024,0.00004840362],"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":[0.00006544451,0.0002683635,0.1256333,0.0004230052,0.00007069368,0.000171255,0.001780832,0.00000455725,0.8657417,0.0001172657,0.0002271553,0.005496354],"study_design_scores_gemma":[0.002481957,0.0002700351,0.07025728,0.0004624696,0.00008802899,0.00008824369,0.0021298,0.0002551249,0.9036537,0.0001726602,0.02009097,0.00004969641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992758,0.001904148,0.002966651,0.0003723291,0.0003985242,0.000614709,0.00002716491,0.00009061085,0.0008678083],"genre_scores_gemma":[0.9972624,0.0008555747,0.0003068421,0.00114752,0.0002506161,0.00003600852,0.00001501624,0.00004909648,0.00007696579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05537606,"threshold_uncertainty_score":0.9233262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04737162282876464,"score_gpt":0.3175960510745088,"score_spread":0.2702244282457442,"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."}}