{"id":"W3204976632","doi":"10.1080/17477891.2021.1984196","title":"A call for reducing tourism risk to environmental hazards in the Himalaya","year":2021,"lang":"en","type":"article","venue":"Environmental Hazards","topic":"Adventure Sports and Sensation Seeking","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Business; Risk management; Vulnerability (computing); Population; Leverage (statistics); Emergency management; Overcrowding; Hazard; Environmental planning; Marketing; Environmental resource management; Economic growth; Environmental health; Geography; Computer security; Finance; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005468495,0.0002629881,0.0002653151,0.00008276512,0.0002327169,0.00004338825,0.0002450608,0.000150295,0.00278901],"category_scores_gemma":[0.00002723578,0.0002254262,0.0001985581,0.0001049159,0.00009012193,0.00008338318,0.0001117983,0.0003433887,0.0003039708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002558411,"about_ca_system_score_gemma":0.00002262702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133599,"about_ca_topic_score_gemma":0.00005466618,"domain_scores_codex":[0.9977938,0.0002012892,0.0004392225,0.0006590276,0.000399627,0.0005070218],"domain_scores_gemma":[0.9990031,0.0001238793,0.000134854,0.0006109222,0.000002532928,0.0001246846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007981433,0.004910841,0.2484505,0.00004573269,0.0005571178,0.002704759,0.129192,0.002794983,0.05271893,0.002273771,0.07361558,0.4819377],"study_design_scores_gemma":[0.001982479,0.0002959475,0.6723241,0.00003142125,0.00009748545,0.0001981225,0.01754025,0.0003972653,0.001550983,0.0003399234,0.3046263,0.0006158232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896073,0.0005713076,0.002407386,0.00118123,0.0007463612,0.0006943896,0.0002886437,0.0000271282,0.004476213],"genre_scores_gemma":[0.9905119,0.00005845515,0.001437803,0.001749277,0.000439215,0.0001889488,0.0001831971,0.00005282378,0.005378402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4813218,"threshold_uncertainty_score":0.9981226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118784825239681,"score_gpt":0.2696890014212407,"score_spread":0.2585011531688439,"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."}}