{"id":"W3014408579","doi":"","title":"외국의 백신 능동적 감시 시스템 소개","year":2019,"lang":"ko","type":"article","venue":"Journal of Health Informatics and Statistics","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Licensure; Vaccine safety; Immunization; Pharmacovigilance; Safety monitoring; Vaccination; Environmental health; Business; Adverse effect; Virology; Immunology","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":[0.002702502,0.0002314681,0.0009911045,0.0002654704,0.0001606605,0.00009073417,0.0001519834,0.0001337739,0.0006336413],"category_scores_gemma":[0.001327451,0.0001610815,0.0000822166,0.000157823,0.0001257196,0.000201295,0.00006972669,0.0009373734,0.000276957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393376,"about_ca_system_score_gemma":0.002519887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004774646,"about_ca_topic_score_gemma":0.000004786789,"domain_scores_codex":[0.9949644,0.000137382,0.002662456,0.00007794829,0.001444603,0.0007131791],"domain_scores_gemma":[0.9952618,0.0006997271,0.001739953,0.0002326942,0.0005485558,0.00151724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007342563,0.0006731887,0.05895427,0.01271419,0.0008033009,0.0004219402,0.006811481,0.00002080563,0.000002957275,0.008838652,0.1090492,0.8009757],"study_design_scores_gemma":[0.04802842,0.04646276,0.1699275,0.01282609,0.000929063,0.003256248,0.01672704,0.143495,0.00002338437,0.01071995,0.5465122,0.00109239],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4344702,0.03589857,0.4871225,0.01614797,0.007665963,0.003816061,0.002530309,0.00003259588,0.01231585],"genre_scores_gemma":[0.6826493,0.08223975,0.2220259,0.007849748,0.0006685277,0.000003550297,0.000145203,0.00005847966,0.004359538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7998834,"threshold_uncertainty_score":0.6937928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285236214539175,"score_gpt":0.38833015306727,"score_spread":0.3554777909218783,"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."}}