{"id":"W4390589026","doi":"10.1111/vox.13584","title":"Development of multiplexed flow cytometry‐based red blood cell antibody screen and identification assays","year":2024,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Flow cytometry; Antibody; Cytometry; Intracellular; Molecular biology; Red blood cell; Whole blood; Cell; Biology; Immunology; Biochemistry","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":[0.0002212506,0.0001360737,0.0001344636,0.0001056261,0.00006075415,0.00004421454,0.0001189234,0.0001336491,0.00001989323],"category_scores_gemma":[0.00003844321,0.0001321779,0.00006658348,0.0001650403,0.00005156244,0.000004061872,0.00003353697,0.00006306332,0.000006333085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006858338,"about_ca_system_score_gemma":0.00009379243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002017761,"about_ca_topic_score_gemma":0.00001726711,"domain_scores_codex":[0.9990483,0.00003041211,0.0002947435,0.0003363142,0.0001368318,0.0001533799],"domain_scores_gemma":[0.9995765,0.00001698642,0.00005411422,0.0002263772,0.00006607195,0.00005995774],"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":[0.00003673406,0.0001062303,0.001991985,0.0001350783,0.00005651722,0.000003910454,0.0001563726,0.00001543431,0.9914493,0.000005827858,0.0002134637,0.005829133],"study_design_scores_gemma":[0.0005741184,0.00008074252,0.005714323,0.0000410144,0.00004966042,0.000002396814,0.00003921923,0.002394681,0.9808465,0.000005360708,0.01008591,0.0001660284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808008,0.00173004,0.01629255,0.00004886339,0.0002135651,0.0001681504,0.00007800062,0.00003380207,0.0006342385],"genre_scores_gemma":[0.9698764,0.00006133381,0.02914615,0.00003669948,0.00008856474,0.000008461693,0.0005206915,0.00002582553,0.0002358703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285359,"threshold_uncertainty_score":0.5390059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140930645100313,"score_gpt":0.2600275075765842,"score_spread":0.2459344430665528,"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."}}