{"id":"W2794685972","doi":"10.1007/978-94-024-1283-3_3","title":"Disaster Risk Management","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in natural and technological hazards research","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Disaster risk reduction; Resilience (materials science); Vulnerability (computing); Risk management; Business; Risk analysis (engineering); Emergency management; Environmental planning; Computer security; Political science; Computer science; Geography; Finance","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009682919,0.0002451263,0.0003317268,0.000213476,0.0002238332,0.00004058315,0.0005547599,0.0004228512,0.004823428],"category_scores_gemma":[0.0001322104,0.000153211,0.00009745431,0.0002637653,0.002957541,0.0001761795,0.001468717,0.00156953,0.0006735058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001717779,"about_ca_system_score_gemma":0.000003113156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003069653,"about_ca_topic_score_gemma":0.0005500247,"domain_scores_codex":[0.9975433,0.00006965732,0.0002707878,0.0008063547,0.0008081949,0.0005017455],"domain_scores_gemma":[0.9991862,0.0002113525,0.00005792957,0.0004436237,0.00002121654,0.00007972655],"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":[0.00004262188,0.00003561149,0.004693544,0.00003139519,0.00002365379,0.00006592659,0.00003062715,0.000003998748,0.000002023261,0.02040743,0.00048949,0.9741737],"study_design_scores_gemma":[0.0001576615,0.0001156804,0.002108292,0.00005585238,0.00001367618,0.000003420213,0.00009552879,0.0001461257,0.000007692739,0.4698721,0.5271994,0.0002245841],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02983288,0.01107211,0.00001755906,0.0003562536,0.00007188653,0.0003945835,0.00002038946,0.00009786912,0.9581365],"genre_scores_gemma":[0.5672199,0.04422057,0.001243636,0.00005847897,0.00007320398,0.00006882,0.0000183871,0.00002438365,0.3870726],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9739491,"threshold_uncertainty_score":0.9997559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697418565187418,"score_gpt":0.3066047707815039,"score_spread":0.2896305851296297,"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."}}