{"id":"W3211819999","doi":"10.1186/s13617-021-00108-5","title":"Integrating hazard, exposure, vulnerability and resilience for risk and emergency management in a volcanic context: the ADVISE model","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Volcanology","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Volcanic hazards; Context (archaeology); Hazard; Tephra; Risk assessment; Vulnerability (computing); Volcano; Risk analysis (engineering); Risk management; Hazard analysis; Unrest; Population; Emergency management; Environmental resource management; Geography; Environmental science; Geology; Computer science; Engineering; Business; Environmental health; Medicine; Seismology; Political science; Computer security; Reliability engineering","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":[0.001569564,0.0001087816,0.0002391728,0.00009537693,0.0003394449,0.00003938326,0.0002777743,0.00007022425,0.00002138191],"category_scores_gemma":[0.0002441652,0.00007761369,0.00005296726,0.0002464454,0.0003810473,0.0001373979,0.000137562,0.0002489773,4.532278e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005009887,"about_ca_system_score_gemma":0.0001120988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007634618,"about_ca_topic_score_gemma":0.007398276,"domain_scores_codex":[0.9986433,0.0001571715,0.0004658882,0.0002417326,0.0002094066,0.0002825374],"domain_scores_gemma":[0.9991801,0.0001774503,0.0003057023,0.0001534534,0.0001103376,0.00007296124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005840296,0.0002799754,0.04823804,0.0001513805,0.0001801676,0.00004629096,0.04072978,0.001666047,0.0008486241,0.3941114,0.003789673,0.5093746],"study_design_scores_gemma":[0.005379451,0.0005553372,0.08123969,0.0001543335,0.0004106539,0.00002798331,0.388222,0.01936715,0.0002964416,0.4604642,0.04314658,0.0007361148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712606,0.001710066,0.008892662,0.00182861,0.0002785023,0.0004960226,0.000005066561,0.000008993002,0.01551948],"genre_scores_gemma":[0.9939726,0.003310885,0.001759749,0.0001372912,0.00006335552,0.00002882019,3.682993e-7,0.000006062784,0.0007208955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5086385,"threshold_uncertainty_score":0.4128412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532833790273385,"score_gpt":0.293977247415817,"score_spread":0.2786489095130831,"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."}}