{"id":"W4387572240","doi":"10.1111/trf.180_17554","title":"P‐BB‐76 | The Use of Mixed Reality Technology within the Donor Collection Experience","year":2023,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Medicine; Library science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004724754,0.0001977961,0.0002396898,0.0003633455,0.0008393175,0.002699803,0.0004242429,0.0004355679,0.01373533],"category_scores_gemma":[0.006073473,0.0001899294,0.0004187087,0.0003610147,0.0005880626,0.001015477,0.002936754,0.0005403638,0.002340275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003267316,"about_ca_system_score_gemma":0.0006139023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004926245,"about_ca_topic_score_gemma":0.000537625,"domain_scores_codex":[0.9968809,0.00223259,0.0001017538,0.0001373928,0.0004457427,0.0002017114],"domain_scores_gemma":[0.9965405,0.002101747,0.0003049727,0.0003000817,0.0002367026,0.0005160503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001885072,0.001675434,0.1852977,0.001748317,0.000116433,0.003897789,0.06996121,0.0003792906,0.02838841,0.003790379,0.02034759,0.6825123],"study_design_scores_gemma":[0.0002573144,0.01320379,0.4679341,0.002126353,0.0003113454,0.02870294,0.08535893,0.002415233,0.03910245,0.002888077,0.3574147,0.0002846763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227287,0.002746801,0.0148401,0.002208909,0.0003635385,0.0004473304,0.0004725771,0.0002297691,0.05596228],"genre_scores_gemma":[0.9866965,0.001102998,0.00540779,0.0003519871,0.00008506454,0.0002318592,0.0001383611,0.00004015253,0.005945277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01373533,"threshold_uncertainty_score":0.04594922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06678732636072135,"score_gpt":0.2752891527063931,"score_spread":0.2085018263456718,"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."}}