{"id":"W4399090960","doi":"10.1111/trf.17905","title":"Estimating waiting time for compatible blood: A Negative Binomial approach","year":2024,"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":"University of Calgary","funders":"","keywords":"Negative binomial distribution; Medicine; Statistics; Binomial (polynomial); Mathematics; Poisson distribution","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":[0.01296578,0.001198474,0.001711215,0.003037847,0.0007995394,0.001696292,0.00374738,0.001977313,0.004605989],"category_scores_gemma":[0.0404181,0.001090185,0.001445566,0.001575775,0.001134071,0.002516379,0.00130113,0.002591389,0.001541266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293245,"about_ca_system_score_gemma":0.001637502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007255778,"about_ca_topic_score_gemma":0.005860256,"domain_scores_codex":[0.9950414,0.002438486,0.0001978913,0.0009027124,0.00115562,0.0002639124],"domain_scores_gemma":[0.974209,0.02152411,0.001513401,0.0005604068,0.001827858,0.0003653139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005731032,0.0003302433,0.04239166,0.0007868665,0.0004864084,0.001324299,0.0007610529,0.5823386,0.006183161,0.05118769,0.007044963,0.306592],"study_design_scores_gemma":[0.0000341237,0.0001269944,0.003936443,0.0001559217,0.0000906353,0.0007975834,0.0001018264,0.9643545,0.0009634695,0.02645345,0.002913507,0.00007159109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01253143,0.0006993273,0.9842793,0.0003220569,0.00009151674,0.0001415313,0.00009215714,0.0002536494,0.001589073],"genre_scores_gemma":[0.3237722,0.002308998,0.6619201,0.0007018229,0.0004266674,0.0009393547,0.0006334274,0.0002638635,0.009033596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01296578,"threshold_uncertainty_score":0.06857044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434968857439178,"score_gpt":0.2536338659223948,"score_spread":0.2292841773480031,"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."}}