{"id":"W2990346358","doi":"10.1007/s00484-019-01822-x","title":"The impact of climate change on ski resorts in China","year":2019,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"China; Climate change; Boom; Tourism; Geography; Vulnerability (computing); Environmental science; Physical geography; Environmental protection; Environmental engineering; 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":[0.0003819446,0.00005603589,0.0001345472,0.0001290623,0.00002706196,0.00001534105,0.0002767837,0.00003082059,0.0006156391],"category_scores_gemma":[0.00005300549,0.00003091905,0.0001017304,0.0001684552,0.00004910001,0.00008479316,0.00001539965,0.00009873551,0.00002612627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001196574,"about_ca_system_score_gemma":0.0000210707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009916389,"about_ca_topic_score_gemma":0.0004266284,"domain_scores_codex":[0.9992684,0.00004340209,0.0002960529,0.00006015048,0.000200233,0.0001317422],"domain_scores_gemma":[0.9992744,0.0002630274,0.0002758533,0.00006676681,0.00009429213,0.00002565435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003137591,0.00002396649,0.9379241,9.28064e-7,0.00007056999,0.00001500732,0.00015226,0.001052999,0.00003704526,0.0002074851,0.0001289251,0.06007296],"study_design_scores_gemma":[0.0003349819,0.0006923261,0.9955992,0.00001349272,0.000002691909,0.00003192912,0.00005157565,0.0008406146,0.000006742239,0.0005807747,0.001815725,0.00002993463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952679,0.0006114952,0.000002793557,0.001452751,0.00115974,0.00005456706,0.00003401171,0.000001368778,0.001415323],"genre_scores_gemma":[0.9982712,0.001380335,0.00005662844,0.0001115306,0.0001584416,2.813215e-7,0.00000496243,0.000001338003,0.0000153291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06004303,"threshold_uncertainty_score":0.6740816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731994118993709,"score_gpt":0.2820088089770729,"score_spread":0.2646888677871359,"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."}}