{"id":"W4286110847","doi":"10.1021/acssynbio.2c00160","title":"Malarial Antibody Detection with an Engineered Yeast Agglutination Assay","year":2022,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Philippine Council for Health Research and Development; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Grand Challenges Canada","keywords":"Malaria; Agglutination (biology); Plasmodium falciparum; Antibody; Biology; Parasitemia; Yeast; Microbiology; Virology; Antigen; Immunology; Biochemistry","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":[0.0002213887,0.0001424637,0.0001172244,0.00006487263,0.0002855929,0.00001615382,0.0001668926,0.000123794,0.0001620244],"category_scores_gemma":[0.00006227638,0.0001255616,0.00005237084,0.0001051647,0.00007182563,0.000004903486,0.0001310691,0.0001380566,0.000007535371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002250895,"about_ca_system_score_gemma":0.0000511612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005181353,"about_ca_topic_score_gemma":0.00002415094,"domain_scores_codex":[0.9988495,0.0002942802,0.0001417296,0.0003896959,0.00009409185,0.0002307499],"domain_scores_gemma":[0.9994473,0.00001159326,0.00008846826,0.0003256536,0.00005471657,0.00007223363],"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":[0.0002815387,0.000134832,0.0007164709,0.000004241808,0.00003784214,0.000003229324,0.00002042468,0.0004799652,0.9925973,0.0002475234,0.0001171772,0.005359427],"study_design_scores_gemma":[0.001794567,0.007850401,0.004048306,0.000009841146,0.00008052355,0.0004302447,0.0002452031,0.001125041,0.9068999,0.0007840662,0.07603779,0.0006940724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877704,0.0001517497,0.01043931,0.00006965461,0.0005988412,0.0001832574,0.00007347569,0.00004320305,0.0006700627],"genre_scores_gemma":[0.9986226,0.00001838204,0.0001435681,0.0001596377,0.0003041069,0.0001063433,0.0004667699,0.00002518196,0.0001534144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08569738,"threshold_uncertainty_score":0.5120253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006313200650389466,"score_gpt":0.2502778060771949,"score_spread":0.2439646054268055,"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."}}