{"id":"W4400673915","doi":"10.61093/hem.2024.2-06","title":"Health Security and Cybersecurity: Analysis of Interdependencies","year":2024,"lang":"en","type":"article","venue":"Health Economics and Management Review","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"Alexander von Humboldt-Stiftung","keywords":"Computer security; Interdependence; Business; Security analysis; Computer science; Internet privacy; 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":[0.00191466,0.001056308,0.0006077776,0.004593724,0.0004901696,0.002782056,0.0005370956,0.000832641,0.003729804],"category_scores_gemma":[0.005422416,0.0003702957,0.001281035,0.003791499,0.001469605,0.002608847,0.001805992,0.0009150408,0.0003087605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752316,"about_ca_system_score_gemma":0.001472497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003473283,"about_ca_topic_score_gemma":0.002085418,"domain_scores_codex":[0.9979571,0.001090054,0.000100355,0.0003206817,0.0003923192,0.000139337],"domain_scores_gemma":[0.9953662,0.003345118,0.0007185497,0.0001783131,0.000266438,0.0001253675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001996653,0.0003743184,0.2700621,0.001537137,0.001662622,0.00130573,0.002904666,0.3425381,0.003838326,0.2431332,0.003070658,0.1293737],"study_design_scores_gemma":[0.00001608983,0.0003577274,0.208675,0.0003514999,0.0003165426,0.000730211,0.004671571,0.6269131,0.001657945,0.1439754,0.01221219,0.0001227232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6666215,0.005167414,0.2848617,0.00284902,0.0001152839,0.000449598,0.00180822,0.0002576087,0.0378696],"genre_scores_gemma":[0.978119,0.001389095,0.01865349,0.00004779151,0.00003255023,0.0001088312,0.0003313637,0.00001977791,0.001298064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004593724,"threshold_uncertainty_score":0.01271403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708094926324844,"score_gpt":0.3600368079863265,"score_spread":0.3329558587230781,"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."}}