{"id":"W4393055287","doi":"10.1080/14616688.2024.2332359","title":"Climate change and tourism geographies","year":2024,"lang":"en","type":"article","venue":"Tourism Geographies","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Climate change; Economic geography; Geography; Geology; Archaeology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003894568,0.0001454261,0.0001550898,0.001904805,0.0006774892,0.002281351,0.0001853639,0.0003630011,0.006541856],"category_scores_gemma":[0.001671594,0.00006434463,0.0001626885,0.006593947,0.001514295,0.001547915,0.001045777,0.0006760232,0.0003903299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257497,"about_ca_system_score_gemma":0.0008788653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02634655,"about_ca_topic_score_gemma":0.04548252,"domain_scores_codex":[0.999726,0.0001251772,0.00001288333,0.00002459771,0.00005608991,0.00005522632],"domain_scores_gemma":[0.9991648,0.0003423461,0.000193259,0.00003459692,0.0001330921,0.000131879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001216247,0.00006751667,0.2244894,0.001524822,0.0001397039,0.0008254037,0.02108987,0.006650398,0.0004578609,0.4207458,0.08273905,0.2411485],"study_design_scores_gemma":[0.000005767437,0.00009280906,0.419923,0.001601227,0.00005946168,0.0006875431,0.05031488,0.001356588,0.0001220732,0.04793466,0.4778327,0.00006922927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3807517,0.1914454,0.004273986,0.06246888,0.002074923,0.00007611421,0.006098025,0.000115341,0.3526956],"genre_scores_gemma":[0.9223857,0.06608545,0.0007408442,0.001057966,0.0006971299,0.00001874692,0.0009468134,0.00002429561,0.008043164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02634655,"threshold_uncertainty_score":0.0523864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492628218226438,"score_gpt":0.313078837487646,"score_spread":0.2781525553053816,"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."}}