{"id":"W4393199441","doi":"10.1080/14616688.2024.2332368","title":"National tourism organizations and climate change","year":2024,"lang":"en","type":"article","venue":"Tourism Geographies","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Climate change; Relevance (law); Business; Market segmentation; Rebranding; Sample (material); Economic geography; Economy; Marketing; Geography; Political science; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008379226,0.0001313577,0.0001268085,0.0008199989,0.0009351485,0.0006230134,0.0002516015,0.0001192877,0.001092791],"category_scores_gemma":[0.0002948038,0.0001306989,0.00006219767,0.001965582,0.0006412338,0.0007335844,0.0001805474,0.0002137479,0.0002479264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003393485,"about_ca_system_score_gemma":0.0001202733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318548,"about_ca_topic_score_gemma":0.0009395003,"domain_scores_codex":[0.9980585,0.00010633,0.0001482336,0.0003252134,0.0008607283,0.0005009754],"domain_scores_gemma":[0.9991412,0.000207899,0.00002786354,0.0001200093,0.0003199105,0.0001831319],"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":[0.0000116435,0.0001065915,0.009352996,0.0001215044,0.0001493058,0.0007241052,0.01566784,0.000003204179,0.00004232527,0.7000276,0.251241,0.02255191],"study_design_scores_gemma":[0.0004510591,0.000101115,0.05515222,0.0002285953,0.00009159083,0.00001583365,0.01005574,0.0002744501,0.00006579204,0.1004917,0.832291,0.0007808732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2748992,0.02138501,0.00008194854,0.1089568,0.003204895,0.001681064,0.0002886442,0.002647035,0.5868554],"genre_scores_gemma":[0.9808891,0.01278958,0.0004935819,0.0002711818,0.002130596,0.00005561419,0.00001701963,0.00003252249,0.003320818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7059898,"threshold_uncertainty_score":0.9998204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263778516162683,"score_gpt":0.3206004497152246,"score_spread":0.2942225980989562,"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."}}