{"id":"W2524647919","doi":"10.5055/jem.2016.0289","title":"Building resilient communities: A facilitated discussion","year":2016,"lang":"en","type":"article","venue":"Journal of Emergency Management","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Columbian Hospital","funders":"","keywords":"Resilience (materials science); Public relations; Community resilience; Government (linguistics); Emergency management; Variety (cybernetics); Context (archaeology); Sustainability; Business; Political science; Environmental resource management; Community engagement; Disaster recovery; Environmental planning; Knowledge management; Resource (disambiguation); Geography; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001328497,0.0001178205,0.0001663646,0.000267197,0.0003698608,0.0000358548,0.0007273395,0.00003366675,0.001681138],"category_scores_gemma":[0.00006081474,0.00005864053,0.0001618337,0.000352755,0.0001260346,0.0005228067,0.0001906713,0.00008053892,0.00005089784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252279,"about_ca_system_score_gemma":0.00002277237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008443743,"about_ca_topic_score_gemma":0.0002070059,"domain_scores_codex":[0.9979354,0.0002687555,0.0005692717,0.0001083708,0.0007801682,0.0003379926],"domain_scores_gemma":[0.9991316,0.00004108504,0.000315183,0.0002325594,0.0001413831,0.0001382122],"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":[0.0002720709,0.0007704101,0.01763214,0.0002170377,0.0005934568,0.0001382547,0.04404481,0.0002184656,0.001559529,0.2780778,0.190886,0.4655899],"study_design_scores_gemma":[0.00065269,0.0001537607,0.006475883,0.0003939588,0.00007707522,6.974864e-7,0.0546445,0.0000110797,0.00003086841,0.01334183,0.9239984,0.0002192066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5853533,0.0007080066,0.05482344,0.02790471,0.008985047,0.0009414092,0.000007651231,0.0001200492,0.3211564],"genre_scores_gemma":[0.9483829,0.00354204,0.001274857,0.00004706986,0.0001893574,0.000005856354,2.598855e-7,0.000009727391,0.046548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7331124,"threshold_uncertainty_score":0.9992315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718815016618588,"score_gpt":0.3419772063862296,"score_spread":0.3047890562200437,"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."}}