{"id":"W2547018039","doi":"10.1016/j.tourman.2016.10.020","title":"Using ski industry response to climatic variability to assess climate change risk: An analogue study in Eastern Canada","year":2016,"lang":"en","type":"article","venue":"Tourism Management","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs","keywords":"Climate change; Snow; Tourism; Environmental science; Terrain; Geography; Physical geography; Agricultural economics; Climatology; Meteorology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006544976,0.0003513785,0.0004390052,0.0007289936,0.003403552,0.001611506,0.001028018,0.0005350888,0.000972259],"category_scores_gemma":[0.001417887,0.0003391388,0.0003995026,0.002032049,0.001411069,0.0004209902,0.0007032892,0.0007519109,0.0001636511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01880536,"about_ca_system_score_gemma":0.0128741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994211,"about_ca_topic_score_gemma":0.9973404,"domain_scores_codex":[0.9995549,0.00006932289,0.00001837193,0.00008476972,0.0001001216,0.0001725431],"domain_scores_gemma":[0.9988734,0.0001616873,0.0001292079,0.00006165698,0.000450735,0.0003232839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006400398,0.0005229515,0.9727131,0.00004793912,0.0001429459,0.0007278873,0.010241,0.001255974,0.002342008,0.0002779325,0.0005227703,0.01056541],"study_design_scores_gemma":[0.00001505391,0.00006992636,0.9928613,0.00001032415,0.0000244194,0.0000599742,0.005418874,0.0008455355,0.0001197206,0.00003173226,0.0005280471,0.00001508839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993621,0.00003441281,0.00004675703,0.00002570034,0.00000146532,0.0000181566,0.0001239016,0.000001444698,0.0003861458],"genre_scores_gemma":[0.998911,0.00006357995,0.0001583404,0.00002809738,0.00000158535,0.00001098692,0.0001785628,0.000002465991,0.0006453769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01880536,"threshold_uncertainty_score":0.136443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500498737491692,"score_gpt":0.4044619568585974,"score_spread":0.2544120831094281,"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."}}