{"id":"W2187575420","doi":"","title":"USING AN ANOLOGUE APPROACH TO EXAMINE CLIMATE CHANGE VULNERABILTY OF THE NEW ENGLAND (USA) SKI TOURISM INDUSTRY","year":2014,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Climate change; Tourism; Geography; Revenue; Environmental science; Proxy (statistics); Liberian dollar; Greenhouse gas; Climatology; Agricultural economics; Physical geography; Economics; Oceanography; Archaeology","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":[0.0006056184,0.0001903594,0.0001400981,0.002468916,0.0003248351,0.0008241762,0.0002898785,0.0002194808,0.002717394],"category_scores_gemma":[0.002508744,0.0001020345,0.0004977842,0.001850612,0.0002620501,0.0004651823,0.000804688,0.0003597776,0.0001669886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055286,"about_ca_system_score_gemma":0.0004283011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05458435,"about_ca_topic_score_gemma":0.08213427,"domain_scores_codex":[0.9996281,0.0001325037,0.00002948375,0.00007759167,0.00008782894,0.00004451188],"domain_scores_gemma":[0.9981091,0.0006012053,0.0005981062,0.0001067465,0.0004467081,0.0001381198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001170584,0.0001679063,0.9871165,0.00003385494,0.0001419345,0.0001311061,0.0006931554,0.003219769,0.0008582106,0.0004598687,0.00040124,0.006659456],"study_design_scores_gemma":[0.00000402595,0.0001763387,0.9901242,0.000005605023,0.00002129262,0.000035982,0.001676761,0.006371711,0.0002074278,0.0001409514,0.001228031,0.000007772205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947772,0.00004234331,0.001078275,0.00004589538,0.00000788164,0.00004698156,0.0009352769,0.00001474745,0.003051361],"genre_scores_gemma":[0.9970354,0.00004075405,0.0009831093,0.00001622516,0.000008049515,0.00009403475,0.000780098,0.000003164229,0.001039211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05458435,"threshold_uncertainty_score":0.1085333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1532629348116057,"score_gpt":0.2866735294646955,"score_spread":0.1334105946530899,"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."}}