{"id":"W2054147190","doi":"10.1111/voxs.12111","title":"Models used to predict the impact of having less stringent deferral policies for men who had sex with men: can we validate these predictions?","year":2015,"lang":"en","type":"article","venue":"ISBT Science Series","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"","keywords":"Deferral; Men who have sex with men; Status quo; Pessimism; Demography; Human immunodeficiency virus (HIV); Actuarial science; Medicine; Economics; Demographic economics; Virology; Accounting","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":[0.00762059,0.001453232,0.001222693,0.001502293,0.0006642757,0.003434747,0.002316129,0.002102067,0.005226954],"category_scores_gemma":[0.03068967,0.0006303348,0.00156479,0.001075196,0.0008445377,0.002489558,0.00111634,0.003107907,0.001069952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002241486,"about_ca_system_score_gemma":0.002481637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03418709,"about_ca_topic_score_gemma":0.01810018,"domain_scores_codex":[0.9984195,0.0008638214,0.00008904294,0.000213618,0.0001809463,0.0002330818],"domain_scores_gemma":[0.9786096,0.01688043,0.002074983,0.0005020536,0.001347147,0.0005857132],"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":[0.0001554713,0.0002269383,0.0476935,0.000154903,0.0002263605,0.0001473255,0.0001336651,0.9234234,0.0001433248,0.008904657,0.004196051,0.01459434],"study_design_scores_gemma":[0.00004311388,0.0001193961,0.005160698,0.00008322401,0.0000697448,0.00003425805,0.0001432562,0.9800316,0.0001303468,0.01257842,0.001578627,0.00002730871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834606,0.004365915,0.115938,0.01961997,0.0007774261,0.0005923377,0.004741127,0.0006470202,0.0187123],"genre_scores_gemma":[0.9686927,0.002418597,0.01981564,0.001060277,0.000140236,0.0003702942,0.002316946,0.00009568756,0.005089742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03418709,"threshold_uncertainty_score":0.06797618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09085216871261598,"score_gpt":0.3121409822771403,"score_spread":0.2212888135645243,"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."}}