{"id":"W4392597744","doi":"10.1111/trf.17772","title":"Comparable bacterial growth in platelet concentrates suspended in plasma and platelet additive solution and improved detection of bacterial contamination using a new generation automated culture system","year":2024,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canadian Blood Services","funders":"Health Canada; bioMérieux; Canadian Blood Services","keywords":"Staphylococcus epidermidis; Microbiology; Plateletpheresis; Bacterial growth; Klebsiella pneumoniae; Colony-forming unit; Serratia marcescens; Chemistry; Platelet; Microbiological culture; Platelet-poor plasma; Staphylococcus aureus; Bacteria; Platelet-rich plasma; Apheresis; Medicine; Biology; Escherichia coli; 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":[0.0002158104,0.0001821739,0.0003569103,0.0002616456,0.00005705312,0.00005521125,0.00002351057,0.0001941567,0.00004483675],"category_scores_gemma":[0.000009431137,0.0001666339,0.00003355918,0.0002795289,0.00004142746,0.0002710671,0.0000107893,0.0001667281,8.229122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001626062,"about_ca_system_score_gemma":0.00007335386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706118,"about_ca_topic_score_gemma":0.002620476,"domain_scores_codex":[0.9988005,0.00009726562,0.0004238015,0.0003424254,0.0001477547,0.0001883236],"domain_scores_gemma":[0.9997259,0.00002864465,0.00005633269,0.00005959063,0.00005351708,0.00007597126],"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":[0.001427685,0.0000746169,0.0001004545,0.0005588619,0.00004150845,0.00004083424,0.002532441,0.00001631887,0.9837355,0.0002437579,0.00002831886,0.01119969],"study_design_scores_gemma":[0.009332504,0.0004432322,0.004818637,0.0008736105,0.0001072158,0.0001094776,0.0006211561,0.4551024,0.5282651,0.0000094364,0.0001558373,0.000161484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960256,0.0001923792,0.001648239,0.00008889255,0.0005006272,0.001278931,0.00003144101,0.0001541797,0.00007977418],"genre_scores_gemma":[0.9986593,0.0005961023,0.0002996244,0.000009712901,0.0001241854,0.00001721971,0.000255959,0.00001766053,0.00002027087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4554705,"threshold_uncertainty_score":0.6795133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556298040773909,"score_gpt":0.2450248808419498,"score_spread":0.2294619004342107,"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."}}