{"id":"W1980971590","doi":"10.1016/j.biologicals.2011.08.001","title":"Risk perception, risk management and safety assessment: What can governments do to increase public confidence in their vaccine system?","year":2011,"lang":"en","type":"article","venue":"Biologicals","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Risk perception; Vaccination; Vaccine safety; Public health; Perception; Risk management; Public trust; Medicine; Business; Public relations; Environmental health; Risk analysis (engineering); Immunization; Immunology; Psychology; Political science; Finance; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001794577,0.0001577872,0.0002639323,0.00007261553,0.0004207771,0.0001859799,0.0003166013,0.0001164983,0.0006405123],"category_scores_gemma":[0.0002083025,0.0001111946,0.00004630336,0.000265372,0.00002252395,0.0003471675,0.0001898756,0.0001315113,0.00004435656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003266237,"about_ca_system_score_gemma":0.00003312494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005062453,"about_ca_topic_score_gemma":0.003868769,"domain_scores_codex":[0.9978768,0.0007762144,0.0003287604,0.0004285364,0.000215774,0.0003739059],"domain_scores_gemma":[0.9991549,0.0001358916,0.0001688709,0.0002499936,0.00005933903,0.0002310273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005304537,0.00008814604,0.9475713,0.00001420919,0.00003012051,0.00001684868,0.003498954,4.406905e-7,0.00001918811,0.02274651,0.0003059664,0.02565526],"study_design_scores_gemma":[0.0004105814,0.0001096075,0.9595402,0.00007936332,0.00001865548,9.159947e-7,0.0311717,0.000004789114,0.000002639947,0.001779496,0.00671929,0.0001627856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778389,0.00062833,0.000357305,0.0004666288,0.0001428499,0.0007516841,0.00005194118,0.00006653681,0.0196958],"genre_scores_gemma":[0.9825448,0.01615611,0.0005885497,0.0003199905,0.00007706173,0.0000681056,0.000005545649,0.000005804644,0.0002340057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02767275,"threshold_uncertainty_score":0.7652948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256947408089026,"score_gpt":0.2852710269424206,"score_spread":0.2527015528615303,"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."}}