{"id":"W2986190754","doi":"10.1080/09669582.2019.1684932","title":"Regional ski tourism risk to climate change: An inter-comparison of Eastern Canada and US Northeast markets","year":2019,"lang":"en","type":"article","venue":"Journal of Sustainable Tourism","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Climate change; Tourism; Geography; Futures contract; Natural resource economics; Environmental science; Business; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004554749,0.0001462786,0.0003787992,0.00008302418,0.0001663634,0.00005386414,0.0002202508,0.000048475,0.0003892918],"category_scores_gemma":[0.00005106505,0.0001168128,0.00006133095,0.0002183443,0.00003265335,0.0003777219,0.00004581481,0.0002244887,0.000004332968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003088998,"about_ca_system_score_gemma":0.0001817718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4993446,"about_ca_topic_score_gemma":0.3479881,"domain_scores_codex":[0.9984984,0.00007321714,0.0004868453,0.0001587175,0.0003785797,0.0004041941],"domain_scores_gemma":[0.9986263,0.0001150343,0.0004944177,0.0001632578,0.0003414423,0.000259541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001821638,0.00003125536,0.980152,0.00005577053,0.00003641007,0.0001315945,0.0008746393,0.0006415771,8.150968e-7,0.00001616306,0.004385088,0.01349258],"study_design_scores_gemma":[0.0003755154,0.0004783601,0.9494894,0.00004940566,0.00002874823,0.00003321573,0.01460208,0.001471874,0.000002294438,0.0001003011,0.0332365,0.0001322772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968433,0.001163539,0.00003264833,0.0009367135,0.0003621478,0.000214082,0.00003750901,0.0000041643,0.0004058403],"genre_scores_gemma":[0.9978522,0.0002897214,0.0004684427,0.00029399,0.0003616841,9.097928e-7,0.000005366729,0.000005836814,0.000721834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1513565,"threshold_uncertainty_score":0.6639094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453564316618752,"score_gpt":0.2297144331068292,"score_spread":0.2151787899406417,"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."}}