{"id":"W1929407794","doi":"10.1111/j.1537-2995.2012.03947.x","title":"Déjà‐vu all over again: using simulation to evaluate the impact of shorter shelf life for red blood cells at <scp>H</scp>éma‐<scp>Q</scp>uébec","year":2012,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; Héma-Québec; Dalhousie University","funders":"","keywords":"Economic shortage; Shelf life; Off the shelf; Business; Medicine; Operations management; Computer science; Biology; Economics; Food science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001582476,0.000433641,0.0004408042,0.000369784,0.0004819968,0.0002237943,0.0003457988,0.0002227796,0.0004597241],"category_scores_gemma":[0.0005869896,0.0003175722,0.0004672535,0.000647099,0.00005662607,0.002048469,0.00009810093,0.000228804,0.0001124657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006802384,"about_ca_system_score_gemma":0.00006593977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323515,"about_ca_topic_score_gemma":0.0002515017,"domain_scores_codex":[0.9972426,0.00009290349,0.0007175708,0.000481826,0.000775557,0.0006895222],"domain_scores_gemma":[0.997389,0.001288863,0.0003231473,0.0004688843,0.0004137796,0.0001162785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007106712,0.00310761,0.0569898,0.0008995914,0.001492353,0.000007377645,0.01032505,0.1606313,0.7302501,0.001165881,0.02765432,0.00676595],"study_design_scores_gemma":[0.01521992,0.000475728,0.1655094,0.0003969725,0.005868811,0.00001351947,0.002130075,0.3939895,0.05224522,0.000773422,0.3625908,0.0007866196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875185,0.0002436532,0.00431727,0.0004402549,0.0006216748,0.001742133,0.00003046678,0.0001274126,0.004958622],"genre_scores_gemma":[0.9956995,0.00007328935,0.0003661817,0.002233503,0.0009298783,0.00004760124,0.00007311712,0.00009124212,0.0004857057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6780049,"threshold_uncertainty_score":0.9999276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939417820539554,"score_gpt":0.3117547639398449,"score_spread":0.2623605857344494,"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."}}