{"id":"W2555325775","doi":"10.1108/whatt-07-2016-0039","title":"How can the tourism industry respond to the global challenges arising from climate change and environmental degradation?","year":2016,"lang":"en","type":"article","venue":"Worldwide Hospitality and Tourism Themes","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Tourism; Climate change; Originality; Value (mathematics); Sociology; Political science; Environmental ethics; Public relations; Environmental resource management; Social science; Economics; Computer science; Ecology; Qualitative research; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001103131,0.0002121754,0.0001994027,0.00005231218,0.001302962,0.0005143312,0.0005656193,0.0001859748,0.00007631529],"category_scores_gemma":[0.00026943,0.0001160397,0.00006116898,0.0001623755,0.0008116805,0.0004866047,0.0005290331,0.0002886934,0.00001339902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437648,"about_ca_system_score_gemma":0.00004146914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005095058,"about_ca_topic_score_gemma":0.006638258,"domain_scores_codex":[0.9976001,0.0004759901,0.0001650214,0.0004765404,0.0006806,0.0006017567],"domain_scores_gemma":[0.9986461,0.0004927356,0.0001092826,0.0004492659,0.0000263709,0.0002761905],"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":[0.000158681,0.0001946314,0.1279981,0.00001885489,0.0002350438,0.0002249884,0.04146963,2.96599e-7,0.00007916242,0.0876846,0.008085153,0.7338508],"study_design_scores_gemma":[0.0007754188,0.0001362319,0.6475197,0.0001596718,0.00008573216,0.000003873018,0.143665,0.000004239727,0.0001953123,0.06789796,0.1389841,0.0005726625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6460748,0.003088108,0.000008654657,0.3465709,0.0001839355,0.0004779236,0.0002388128,0.00004049369,0.003316276],"genre_scores_gemma":[0.991801,0.004506011,0.0001045615,0.0006635626,0.001075662,0.00005369055,0.000004189548,0.00001422474,0.001777062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7332782,"threshold_uncertainty_score":0.9999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133591017144953,"score_gpt":0.2846552918788505,"score_spread":0.2433193817074009,"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."}}