{"id":"W4322710459","doi":"10.1007/978-3-031-21530-8_4","title":"Emergency Planning—A Tool for Rural and Remote Community Resilience","year":2023,"lang":"en","type":"book-chapter","venue":"Advanced sciences and technologies for security applications","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Community resilience; Preparedness; Resilience (materials science); Emergency management; Public relations; Transformative learning; Environmental planning; Political science; Business; Environmental resource management; Geography; Engineering; Sociology","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":[0.0003815495,0.0005299713,0.000175842,0.00081204,0.000929912,0.002881154,0.0009443877,0.0009419202,0.02684337],"category_scores_gemma":[0.00048242,0.0002235817,0.0001927901,0.0008870156,0.001415553,0.002501921,0.001495072,0.001365806,0.004337175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134609,"about_ca_system_score_gemma":0.001779768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113802,"about_ca_topic_score_gemma":0.00811182,"domain_scores_codex":[0.9998639,0.00004298224,0.000004398108,0.00001438115,0.00006148196,0.00001285053],"domain_scores_gemma":[0.9998446,0.00008167242,0.000008551301,0.00001541945,0.00002491662,0.00002483693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009843962,0.00004458078,0.000127506,0.0001531188,0.000007118267,0.0001395919,0.001074724,0.003637454,0.0007663204,0.4452072,0.261166,0.2876665],"study_design_scores_gemma":[0.000001593465,0.000009035879,0.0001542651,0.000114786,0.000002320752,0.0001194387,0.0005488917,0.000962386,0.0002410148,0.05934083,0.9384998,0.00000567671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001989996,0.008819477,0.07582644,0.008871686,0.001379225,0.00007927698,0.0001993607,0.0006734217,0.9021611],"genre_scores_gemma":[0.05420703,0.0130578,0.06698733,0.001970843,0.0006241555,0.0001287563,0.0002930236,0.0003783688,0.8623527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02684337,"threshold_uncertainty_score":0.0898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363623523197056,"score_gpt":0.3456134234985253,"score_spread":0.3092510711788197,"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."}}