{"id":"W2398094643","doi":"","title":"Knowledge representation in Health Research: the modeling of Adverse Events Following Immunization.","year":2012,"lang":"en","type":"article","venue":"ICBO","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacovigilance; MedDRA; Adverse effect; Standardization; Terminology; Computer science; Medicine; Set (abstract data type); Event (particle physics); Public health; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003153487,0.00009088198,0.0001579812,0.0001971279,0.0003342182,0.000001787171,0.0002116565,0.00008799776,0.0001210625],"category_scores_gemma":[0.0001904658,0.00007669453,0.0000871446,0.0007103696,0.00006041156,0.000344754,0.00008483847,0.0007033279,0.0001104725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354501,"about_ca_system_score_gemma":0.0001389872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001684629,"about_ca_topic_score_gemma":0.00002250717,"domain_scores_codex":[0.9977028,0.001138592,0.0003794938,0.000134279,0.0001765873,0.0004682192],"domain_scores_gemma":[0.9989874,0.0005070433,0.0001037474,0.0001981824,0.0000827204,0.0001209422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000428192,0.003025497,0.5784445,0.0002626579,0.0004370691,0.00001096225,0.04816955,0.2842201,0.05721432,0.006191733,0.005916532,0.01567882],"study_design_scores_gemma":[0.008416992,0.0001280798,0.07001774,0.0004398831,0.0001896183,0.0000257543,0.02717963,0.6973282,0.02209897,0.003184304,0.1702482,0.0007425935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877837,0.001794483,0.0003865561,0.001109682,0.001365452,0.0004900991,0.00001237017,0.00003345179,0.007024178],"genre_scores_gemma":[0.9984073,0.0005190365,0.00006998883,0.0002969427,0.0001886043,0.00004796263,0.00002244857,0.00001351523,0.0004342076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5084268,"threshold_uncertainty_score":0.3127512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5457483984127662,"score_gpt":0.5925566924100223,"score_spread":0.04680829399725606,"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."}}