{"id":"W4401407616","doi":"10.1079/tourism.2024.0081","title":"Lessons from Iceland: Natural Disaster Planning and Response","year":2024,"lang":"en","type":"article","venue":"Tourism Cases","topic":"Cruise Tourism Development and Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algonquin College","funders":"","keywords":"Natural disaster; Resilience (materials science); Preparedness; Environmental planning; Emergency management; Government (linguistics); Plan (archaeology); Business; Emergency response; Tourism; Disaster preparedness; Environmental resource management; Geography; Political science; Medical emergency; Medicine","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":[0.0004063667,0.0001021848,0.0001043459,0.000100652,0.0003154816,0.0003283269,0.00009443171,0.00004931314,0.0003814529],"category_scores_gemma":[0.0001151798,0.00008918408,0.00003528164,0.0001263274,0.0001045638,0.0002125112,0.0000877959,0.000117857,0.0000583395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005138175,"about_ca_system_score_gemma":0.000075305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220823,"about_ca_topic_score_gemma":0.0005489836,"domain_scores_codex":[0.9990716,0.0001157769,0.0001116489,0.0002413948,0.0002227566,0.0002368168],"domain_scores_gemma":[0.9991436,0.0006470809,0.00001985914,0.00009115052,0.00001176303,0.00008656079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007238456,0.00005950027,0.002608388,0.00004753125,0.0002218763,0.015598,0.218039,0.000005511591,0.0005478531,0.006978827,0.6468759,0.1082938],"study_design_scores_gemma":[0.0001896382,0.00002216873,0.01808137,0.0001408136,0.00004675169,0.000007223858,0.01082784,0.00006404976,0.00005068938,0.001972229,0.9683512,0.0002459715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734333,0.005875546,0.000062491,0.009175013,0.0009143173,0.0001348439,0.00001410393,0.000212321,0.01017813],"genre_scores_gemma":[0.9705483,0.0001159558,0.0002227806,0.0001976317,0.0005467005,0.00001198077,0.00001105022,0.00001078738,0.02833478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3214753,"threshold_uncertainty_score":0.4176642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812961600085546,"score_gpt":0.35647434775538,"score_spread":0.3183447317545245,"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."}}