{"id":"W2943580687","doi":"10.1111/vox.12782","title":"The impact of red blood cell manufacturing variables on bacterial growth dynamics: a pilot study","year":2019,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood transfusion and management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec; Canadian Blood Services; University of Ottawa","funders":"Health Canada; Canadian Blood Services; Australian Government","keywords":"Staphylococcus epidermidis; Bacterial growth; Yersinia enterocolitica; Bacteria; Microbiology; Klebsiella pneumoniae; Yersiniosis; Biology; Filtration (mathematics); Propionibacterium; Yersinia; Red blood cell; Enterobacteriaceae; Staphylococcus aureus; Escherichia coli; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002568868,0.0001774908,0.0003005555,0.0000986689,0.00007146427,0.00002792798,0.0001678482,0.00003419306,0.000650984],"category_scores_gemma":[0.00002335289,0.0001064839,0.0001194813,0.00009892779,0.00002604374,0.00002947019,0.0000589724,0.0001473614,0.0000581947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004250189,"about_ca_system_score_gemma":0.00003699747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009426651,"about_ca_topic_score_gemma":0.00007517662,"domain_scores_codex":[0.9988803,0.00006712357,0.0002815948,0.0002524435,0.0002730065,0.0002455427],"domain_scores_gemma":[0.9991524,0.0001001125,0.0000951175,0.0005234996,0.00004415655,0.00008470073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03808732,0.07971331,0.2706445,0.002247137,0.01185632,0.0006811333,0.008735505,0.0002275686,0.5324473,0.005393711,0.02550277,0.02446336],"study_design_scores_gemma":[0.03819738,0.07020643,0.7648062,0.0003365391,0.001771543,0.00002740122,0.003509959,0.0003952627,0.1176607,0.0003567963,0.002029842,0.0007019677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634666,0.00002164192,0.000009029191,0.0002281938,0.0003446029,0.001225714,0.00001763174,0.00005032779,0.0346362],"genre_scores_gemma":[0.9979329,0.00004717887,0.00009205461,0.00006453419,0.0001080047,0.0000208598,0.00001536884,0.00002891375,0.001690179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4941617,"threshold_uncertainty_score":0.7127818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032509322092334,"score_gpt":0.2454841274712047,"score_spread":0.2351590342502813,"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."}}