{"id":"W3016003578","doi":"10.1111/vox.12917","title":"Trends in platelet distributions from 2008 to 2017: a survey of twelve national and regional blood collectors","year":2020,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood transfusion and management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Apheresis; Buffy coat; Platelet; Medicine; Blood collection; Plateletpheresis; Platelet transfusion; Internal medicine; Immunology; Emergency medicine","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":[0.0001205496,0.00009043172,0.0002228253,0.0001582768,0.0000309351,0.000006574637,0.0000538692,0.00005064037,0.0007645659],"category_scores_gemma":[0.0001617389,0.00008522787,0.00004202399,0.000711486,0.00003817006,0.00002063793,0.00003210826,0.0000877714,0.00001596839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001655979,"about_ca_system_score_gemma":0.00006555763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260824,"about_ca_topic_score_gemma":0.001734368,"domain_scores_codex":[0.999146,0.00003870646,0.0002202176,0.0002161985,0.0002607403,0.0001180796],"domain_scores_gemma":[0.9995295,0.00008694305,0.00003467298,0.00008803099,0.00009349031,0.0001673659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008449525,0.0008809533,0.1049617,0.00004486886,0.0003976764,0.0001164263,0.002268143,0.00001118479,0.003219721,0.0008024139,0.8821138,0.004338211],"study_design_scores_gemma":[0.002867403,0.0002470229,0.9582377,0.00003321124,0.00005628797,0.00000522852,0.00006922908,0.00006905808,0.000917346,0.00002454943,0.03738113,0.00009185028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790264,0.0003660516,0.000114732,0.01448085,0.00006361734,0.0002597263,0.001575201,0.00002995267,0.004083501],"genre_scores_gemma":[0.9967079,0.00005600827,0.0004020654,0.001621881,0.00005296086,0.00001589475,0.0007863714,0.000008035653,0.000348943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.853276,"threshold_uncertainty_score":0.837146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06134641337057316,"score_gpt":0.299122217019928,"score_spread":0.2377758036493549,"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."}}