{"id":"W2111360192","doi":"10.1002/wcc.165","title":"International tourism and climate change","year":2012,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":426,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Climate change; Vulnerability (computing); Sustainability; Political economy of climate change; Ecotourism; Natural resource economics; Geography; Tourism geography; Destinations; Business; Environmental resource management; Economic geography; Environmental planning; Economics; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003233598,0.0003190206,0.0005146965,0.0002786377,0.0009354413,0.0002279272,0.0007708259,0.0001732915,0.002526698],"category_scores_gemma":[0.0001426188,0.0002833227,0.0002170164,0.000310597,0.0004088386,0.002433034,0.002815544,0.0003427791,0.001973478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068903,"about_ca_system_score_gemma":0.00001209858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173208,"about_ca_topic_score_gemma":0.0002041139,"domain_scores_codex":[0.99653,0.0004380897,0.0004948052,0.0004640857,0.0006390458,0.001434007],"domain_scores_gemma":[0.9985232,0.0001170105,0.0002717126,0.0004118386,0.0001026494,0.0005735296],"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":[0.0001707057,0.000768351,0.06655637,0.0007924969,0.00009465174,0.0002698929,0.1324633,3.131983e-8,0.00009462902,0.02966627,0.06297811,0.7061452],"study_design_scores_gemma":[0.0004966992,0.0001423839,0.01795107,0.0016386,0.00007231102,0.00002782625,0.01162574,0.00003442913,0.00001170341,0.0005773921,0.9667643,0.0006575542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0956303,0.101994,0.00001083321,0.06218625,0.01068946,0.006479946,0.0004888603,0.0006038237,0.7219165],"genre_scores_gemma":[0.4381554,0.5454201,0.0006387589,0.001197754,0.01258163,0.001221581,0.00008243156,0.00007717028,0.0006251366],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9037862,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1494637782515156,"score_gpt":0.4178557114952728,"score_spread":0.2683919332437572,"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."}}