{"id":"W4412453904","doi":"10.1002/sim.70181","title":"The Design of Large‐Scale Plasma Donation Trials","year":2025,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; Actua; McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; McMaster University","keywords":"Outcome (game theory); Variance (accounting); Donation; Poisson distribution; Adverse effect; Statistics; Medicine; Audit; Scale (ratio); Accrual; Econometrics; Computer science; Mathematics; Internal medicine; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2104874,0.002606462,0.00616271,0.00193908,0.001100324,0.003962724,0.002819764,0.004220653,0.007140392],"category_scores_gemma":[0.274886,0.001768139,0.002885236,0.002253338,0.002753813,0.00300368,0.002084638,0.004803961,0.001693378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619589,"about_ca_system_score_gemma":0.005055852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002852023,"about_ca_topic_score_gemma":0.0004309453,"domain_scores_codex":[0.7186759,0.2566374,0.01022277,0.006248,0.007052353,0.001163719],"domain_scores_gemma":[0.8546479,0.1095501,0.01403498,0.01565296,0.003911135,0.002202955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.2168215,0.007479394,0.01343405,0.02230597,0.0148023,0.00104269,0.001288561,0.1111125,0.00814942,0.1651771,0.01485175,0.4235348],"study_design_scores_gemma":[0.2165056,0.08850117,0.01166458,0.003144245,0.008100728,0.0006767159,0.0004655995,0.2498788,0.008577404,0.3528077,0.0590947,0.0005827017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02898395,0.004633369,0.6289432,0.003445913,0.002570378,0.3241177,0.001306721,0.000784288,0.005214516],"genre_scores_gemma":[0.147844,0.001831581,0.3203832,0.001720884,0.0005123585,0.5255545,0.0005250524,0.00008718699,0.001541198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2104874,"threshold_uncertainty_score":0.9736096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04330349544810271,"score_gpt":0.342392463399069,"score_spread":0.2990889679509663,"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."}}