{"id":"W2048537232","doi":"10.1080/11745398.2007.9686781","title":"Climate Change Vulnerability of the Vermont Ski Tourism Industry (USA)","year":2007,"lang":"en","type":"article","venue":"Annals of Leisure Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Climate change; Tourism; Vulnerability (computing); Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.01704288,0.00008404664,0.000223467,0.000137518,0.0004115585,0.00002400288,0.0005692652,0.0003334135,0.0002863572],"category_scores_gemma":[0.000989913,0.00006113356,0.0001391614,0.0009066553,0.0007467952,0.0001929052,0.0001753448,0.0007984261,0.00001436622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003549186,"about_ca_system_score_gemma":0.0002758466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007367245,"about_ca_topic_score_gemma":0.003673407,"domain_scores_codex":[0.9965878,0.0004761023,0.0003071757,0.0001808735,0.001574369,0.0008737246],"domain_scores_gemma":[0.9980471,0.000439138,0.000136843,0.0004133636,0.0007223889,0.0002412199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054854,0.0002766012,0.9353603,0.00006716249,0.00002055448,0.00001292372,0.005708276,6.987859e-7,0.0007729848,0.01855317,0.006013331,0.03310857],"study_design_scores_gemma":[0.0001339718,0.00009693309,0.9046102,0.0001018305,0.000003344562,4.644531e-7,0.001112869,5.844001e-7,0.01634886,0.001323105,0.07619356,0.00007425631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562764,0.0003669943,7.114642e-7,0.006689619,0.0001885944,0.000425008,0.00001847075,0.0000102184,0.036024],"genre_scores_gemma":[0.9982333,0.0003805602,0.000009430219,0.00005270856,0.0004555799,0.000008391637,0.000001247521,0.000008471815,0.0008503417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07018023,"threshold_uncertainty_score":0.9992428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4778728747296547,"score_gpt":0.5449137359217986,"score_spread":0.06704086119214392,"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."}}