{"id":"W4408307954","doi":"10.3727/108354224x17275202230550","title":"Guest Editorial: Tourism’s Great Correction: Advancing Tourism Sustainability and Resilience","year":2025,"lang":"en","type":"editorial","venue":"Tourism Analysis","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Tourism; Resilience (materials science); Sustainability; Tourism geography; Ecotourism; Environmental ethics; Economic geography; Business; Political science; Sociology; Geography; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009282315,0.004077189,0.004316339,0.005745213,0.005769635,0.01270545,0.004109301,0.02236449,0.0216323],"category_scores_gemma":[0.05956171,0.001381069,0.003152172,0.002705182,0.003693367,0.003996366,0.002511508,0.0234844,0.01401086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004567191,"about_ca_system_score_gemma":0.00761927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003944831,"about_ca_topic_score_gemma":0.01361336,"domain_scores_codex":[0.9912217,0.001978937,0.001022378,0.001025144,0.004050977,0.0007008709],"domain_scores_gemma":[0.9608595,0.01190455,0.002416792,0.001318809,0.01808288,0.00541759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001257633,0.000005799209,0.00001305609,0.00007132227,0.000007971152,0.00006493279,0.00000854848,0.000008363828,0.00001361578,0.0001022576,0.9985656,0.001125925],"study_design_scores_gemma":[0.00007703578,0.00002878161,0.0003782563,0.0006229205,0.00006587234,0.0002952458,0.0001166095,0.0001680227,0.00007723425,0.001101172,0.9970362,0.00003278458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001452803,0.001028888,0.00003818858,0.03315186,0.9652048,0.000008659744,0.000029419,0.00002230745,0.0005011596],"genre_scores_gemma":[0.0003784492,0.001360767,0.00006873466,0.02519521,0.9660013,0.00002520563,0.00002575348,0.00004516361,0.006899296],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02236449,"threshold_uncertainty_score":0.07236731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005565642074132566,"score_gpt":0.3197243252754819,"score_spread":0.3141586832013493,"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."}}