{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006257045,0.0001185731,0.0001306091,0.0002535967,0.0006119655,0.0001331001,0.0002826939,0.00009398949,0.0001743647],"category_scores_gemma":[0.0001968066,0.00006805865,0.00006843344,0.002301105,0.00018576,0.0008266069,0.00005458588,0.0002067892,0.0000803361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008267214,"about_ca_system_score_gemma":0.00002097366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473005,"about_ca_topic_score_gemma":0.002278132,"domain_scores_codex":[0.998946,0.00004505495,0.0003126666,0.000226339,0.0003128574,0.0001570691],"domain_scores_gemma":[0.9991048,0.0002136572,0.0001784422,0.0003343875,0.0001620077,0.000006683817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002240773,0.001370721,0.1031689,0.0007169907,0.0003467651,0.00004165316,0.01396188,0.004912911,0.1466802,0.496893,0.05982701,0.1698392],"study_design_scores_gemma":[0.002951144,0.00008462101,0.1766346,0.0001491447,0.000359027,0.00002055735,0.01074204,0.03011056,0.02456826,0.01240926,0.741327,0.0006438379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678807,0.00002221226,0.0009057511,0.02813605,0.0006574549,0.000488762,0.000002906563,0.0003128701,0.00159329],"genre_scores_gemma":[0.998475,0.0001804772,0.00005864916,0.0006431,0.00009752742,0.00007021549,0.00001070251,0.00001430574,0.0004500278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6815,"threshold_uncertainty_score":0.4706805,"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."}}