{"id":"W2043681889","doi":"10.1080/13683500903406367","title":"Last-chance tourism: the boom, doom, and gloom of visiting vanishing destinations","year":2010,"lang":"en","type":"article","venue":"Current Issues in Tourism","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":288,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of Guelph; Lakehead University","funders":"","keywords":"Tourism; Gloom; Destinations; Tourism geography; Dark tourism; Ecotourism; Witness; Political science; Boom; Rebranding; Economy; Geography; Marketing; Business; Economics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001927802,0.0001400156,0.0002060563,0.0001614649,0.0005774118,0.0002299994,0.0007064106,0.0001056242,0.0001675757],"category_scores_gemma":[0.001930923,0.0001211613,0.00005596409,0.0004178737,0.0006519601,0.0004889087,0.0003082854,0.0007599124,0.00002477595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004254439,"about_ca_system_score_gemma":0.0001200338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082917,"about_ca_topic_score_gemma":0.002420514,"domain_scores_codex":[0.9979602,0.0002388906,0.0002940006,0.0003035156,0.000717062,0.0004863223],"domain_scores_gemma":[0.9985773,0.0006331726,0.0001624014,0.0003122101,0.0001807213,0.0001342213],"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":[0.00004672453,0.0009095023,0.06502846,0.0002675618,0.00007534287,0.0002792118,0.09011202,0.00007430337,0.004224895,0.3091583,0.07531696,0.4545067],"study_design_scores_gemma":[0.001947844,0.0001838243,0.08326298,0.0009569259,0.00008498454,0.00001328061,0.03302518,0.001311017,0.005524012,0.1442826,0.7281593,0.001248032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461858,0.002980413,0.0001197351,0.008117128,0.001541756,0.0005325152,0.00001142021,0.00008144429,0.04042984],"genre_scores_gemma":[0.9959179,0.0008050855,0.001404038,0.0000244804,0.001122593,0.00001924156,0.000002273219,0.00001470156,0.0006897404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6528423,"threshold_uncertainty_score":0.4940815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738159074671057,"score_gpt":0.3760477589718254,"score_spread":0.3486661682251148,"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."}}