{"id":"W4388407963","doi":"10.1186/s13287-023-03556-5","title":"Cell-based passive immunization for protection against SARS-CoV-2 infection","year":2023,"lang":"en","type":"article","venue":"Stem Cell Research & Therapy","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Waterloo; University of Toronto","funders":"Breakthrough T1D Canada; Canadian Institutes of Health Research; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Immunization; Virology; Stem cell; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Medicine; Immunology; 2019-20 coronavirus outbreak; Biology; Antibody; Outbreak; Disease; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002337408,0.000253566,0.0003253043,0.001232606,0.0006244937,0.0001543538,0.0002501582,0.0002802203,0.000009025854],"category_scores_gemma":[0.0001130975,0.0002216591,0.0002263261,0.002679077,0.0001738598,0.0001732886,0.00007271087,0.0007746866,0.0004544253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005192951,"about_ca_system_score_gemma":0.0009291301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004798594,"about_ca_topic_score_gemma":0.00004933036,"domain_scores_codex":[0.9961498,0.0005641304,0.0003733376,0.000607532,0.001327818,0.0009774051],"domain_scores_gemma":[0.9974185,0.0004762241,0.000103092,0.0006924516,0.001244734,0.00006497571],"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":[0.001835602,0.0003525061,0.00129422,0.0004572165,0.00004510302,0.00002346856,0.00044532,0.00002610777,0.9350829,0.00001806074,0.004643109,0.05577638],"study_design_scores_gemma":[0.003760287,0.001651859,0.0006234078,0.00008484597,0.000006633604,0.000001417278,0.000228975,0.00905298,0.792435,0.0001510068,0.1918357,0.0001678297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852642,0.0003739907,0.003603955,0.0008920197,0.0002263354,0.005465788,0.00001399001,0.0003949419,0.00376473],"genre_scores_gemma":[0.9926373,0.0003053233,0.00005830275,0.003417857,0.0003560691,0.002292081,0.00007044068,0.000126596,0.0007359799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871926,"threshold_uncertainty_score":0.9038994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1384120629208095,"score_gpt":0.4102241356899686,"score_spread":0.2718120727691591,"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."}}