{"id":"W1974028527","doi":"10.1007/s11027-007-9136-z","title":"Climate change vulnerability of the US Northeast winter recreation– tourism sector","year":2007,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":215,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"U.S. Army Corps of Engineers; Canada Research Chairs; Wisconsin Department of Natural Resources","keywords":"Climate change; Recreation; Tourism; Geography; Vulnerability (computing); Economic impact analysis; Liberian dollar; Snow; Environmental protection; Business; Political science; Ecology; Economics; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004496334,0.0000851087,0.0000948806,0.0004638077,0.0004423772,0.0006705048,0.000274098,0.0003534415,0.001733668],"category_scores_gemma":[0.001374729,0.00008106344,0.000200161,0.001060042,0.0002955702,0.0006016194,0.0008004153,0.0003584384,0.0001293909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855804,"about_ca_system_score_gemma":0.0009746886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1782696,"about_ca_topic_score_gemma":0.3022537,"domain_scores_codex":[0.9997719,0.0000656928,0.00001224466,0.00002329713,0.00003302952,0.00009387526],"domain_scores_gemma":[0.9992307,0.000141865,0.0002699871,0.00004490975,0.0001388622,0.0001735887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001601186,0.00005644952,0.9864606,0.000009987164,0.00005811248,0.0001964587,0.0005851385,0.003526652,0.0006198244,0.0007808796,0.001571926,0.005973871],"study_design_scores_gemma":[0.000002188856,0.00001377247,0.9945294,0.000004591561,0.000009775853,0.00006434556,0.001444287,0.002338221,0.0001653263,0.0002545089,0.001169984,0.000003619969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979297,0.00006777858,0.00003140729,0.0004787057,0.000002402515,0.000002298349,0.0003965505,0.000001916632,0.00108931],"genre_scores_gemma":[0.999414,0.00005392811,0.000009093029,0.000056743,0.000002224334,0.000001756806,0.0001988774,9.67224e-7,0.0002622879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782696,"threshold_uncertainty_score":0.3544639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07608051160188804,"score_gpt":0.2737109917319048,"score_spread":0.1976304801300168,"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."}}