{"id":"W2523109559","doi":"10.1111/vox.12447","title":"The International Haemovigilance Network Database for the Surveillance of Adverse Reactions and Events in Donors and Recipients of Blood Components: technical issues and results","year":2016,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood transfusion and management","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec","funders":"","keywords":"Medicine; Adverse effect; Incidence (geometry); Harm; Blood transfusion; Transfusion-related acute lung injury; Donation; Emergency medicine; Blood component; Medical emergency; Intensive care medicine; Surgery; Internal medicine; Lung; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02878001,0.0009921849,0.002064981,0.008757185,0.0005927568,0.00361775,0.002022125,0.001305296,0.003553218],"category_scores_gemma":[0.05314422,0.0004924081,0.001261424,0.01468637,0.0004611872,0.002012798,0.002492057,0.00156458,0.001957199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245843,"about_ca_system_score_gemma":0.007479009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007122777,"about_ca_topic_score_gemma":0.005396888,"domain_scores_codex":[0.9685736,0.009223667,0.01185722,0.002749877,0.006857062,0.00073843],"domain_scores_gemma":[0.9311362,0.01620843,0.02375965,0.01004234,0.01625047,0.002602771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002811075,0.0004540666,0.4585937,0.008631259,0.002128953,0.0004023152,0.001619606,0.003881141,0.002493006,0.01172046,0.3203003,0.1869641],"study_design_scores_gemma":[0.001100297,0.0005947175,0.6933343,0.004686022,0.001483547,0.00126018,0.0006204114,0.006724312,0.003565026,0.003978136,0.2824177,0.0002352827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1045059,0.01450262,0.05419408,0.007094075,0.00057193,0.008175769,0.7710909,0.003412023,0.03645272],"genre_scores_gemma":[0.1762708,0.005146282,0.05784852,0.002744816,0.0005402028,0.008010195,0.7468641,0.0003489729,0.002226068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02878001,"threshold_uncertainty_score":0.152205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273731399607318,"score_gpt":0.2909958133633003,"score_spread":0.2682584993672271,"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."}}