{"id":"W2505356179","doi":"10.1016/j.transci.2016.07.010","title":"Microparticle content of platelet concentrates is predicted by donor microparticles and is altered by production methods and stress","year":2016,"lang":"en","type":"article","venue":"Transfusion and Apheresis Science","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Canadian Blood Services; University of British Columbia","funders":"Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values; Terumo BCT; Canadian Blood Services","keywords":"Apheresis; Platelet; Plateletpheresis; Microparticle; Chemistry; Blood product; Whole blood; Coagulation; In vivo; Immunology; Andrology; Medicine; Internal medicine; Surgery; Biology","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":[0.0005379368,0.0001421859,0.000177436,0.00007924447,0.0002971364,0.0002072997,0.0001156058,0.00004210139,0.0003128762],"category_scores_gemma":[0.00006969516,0.00009536346,0.0000213518,0.0003530004,0.0007578393,0.001388612,0.00004730704,0.00005260534,0.000002272006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000049663,"about_ca_system_score_gemma":0.00001503499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003986153,"about_ca_topic_score_gemma":0.00004078066,"domain_scores_codex":[0.9987582,0.00003261127,0.0002814596,0.0004682331,0.0002312086,0.0002282861],"domain_scores_gemma":[0.9994423,0.00008207063,0.0001307055,0.0001257802,0.0001649526,0.00005420637],"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":[0.0001046048,0.0000936628,0.01803453,0.00006214098,0.0000109931,2.504085e-7,0.0002887345,6.013261e-8,0.9169925,0.0002273224,0.001411063,0.06277417],"study_design_scores_gemma":[0.001402168,0.00003181292,0.01572931,0.00007905822,0.00004819567,0.000003890109,0.000669479,0.000283756,0.9742365,0.0001603116,0.007201653,0.0001538407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892692,0.0008673807,0.0005432468,0.008667809,0.00009990973,0.0003155365,0.00007427236,0.00003746243,0.0001251766],"genre_scores_gemma":[0.9963819,0.001954127,0.0006409276,0.0008308686,0.00002892033,0.000009305921,0.000002096251,0.000008597302,0.0001432054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06262033,"threshold_uncertainty_score":0.3888809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663066068476214,"score_gpt":0.2736854296615824,"score_spread":0.2470547689768202,"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."}}