{"id":"W1879619233","doi":"10.1111/j.1537-2995.2009.02340.x","title":"Donor screening as a TRALI risk reduction strategy","year":2009,"lang":"en","type":"letter","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apheresis; Transfusion-related acute lung injury; Medicine; Fresh frozen plasma; Intensive care medicine; Buffy coat; Transfusion medicine; Blood collection; Consensus conference; Blood transfusion; Platelet; Immunology; Internal medicine; Emergency medicine; Lung; Pulmonary edema","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002873105,0.0005734672,0.0007460425,0.0004516944,0.0002445513,0.00006342333,0.0001829209,0.00109511,0.001877599],"category_scores_gemma":[0.000009678005,0.000508143,0.0005412876,0.000361214,0.00007552587,0.0001202328,0.00001263463,0.002956969,0.0002254355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007196279,"about_ca_system_score_gemma":0.0001041001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670694,"about_ca_topic_score_gemma":0.00005723423,"domain_scores_codex":[0.9969451,0.0001629358,0.0005879322,0.0008878704,0.000822516,0.000593689],"domain_scores_gemma":[0.9988891,0.00002676319,0.0001482595,0.0006573159,0.00009644803,0.0001820777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000516671,0.0002313268,0.00002290475,0.0004195307,0.0002679514,0.0008940143,0.0003394145,0.00002570352,0.002578619,0.00004062917,0.7349899,0.2596734],"study_design_scores_gemma":[0.0042828,0.001578102,0.001452417,0.0007569473,0.002165512,0.0004937689,0.0001594786,0.00005723032,0.001940897,0.0003376713,0.9861426,0.0006325597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02954342,0.0008075712,0.005700937,0.9133418,0.001043731,0.003566823,0.00006013202,0.0008419644,0.04509358],"genre_scores_gemma":[0.03884516,0.02771533,0.004420054,0.8477626,0.01205138,0.0002107703,0.002668069,0.000421616,0.06590497],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2590408,"threshold_uncertainty_score":0.999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479038798621154,"score_gpt":0.2713295511061692,"score_spread":0.2465391631199577,"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."}}