{"id":"W2008281080","doi":"10.3354/cr00793","title":"Climate change analogue analysis of ski tourism in the northeastern USA","year":2009,"lang":"en","type":"article","venue":"Climate Research","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Climate change; Tourism; Geography; Greenhouse gas; Climatology; Environmental science; Physical geography; 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":[0.0003173184,0.0001226231,0.0001579169,0.0006666178,0.0002021379,0.000470127,0.0002446974,0.000167975,0.001108264],"category_scores_gemma":[0.0008711486,0.00008226463,0.0004006602,0.001314343,0.0001555595,0.0002142411,0.0003414887,0.0002501266,0.0000978312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097429,"about_ca_system_score_gemma":0.0005313083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1486621,"about_ca_topic_score_gemma":0.1996314,"domain_scores_codex":[0.9998558,0.00002990247,0.00001108319,0.00003461351,0.00004104898,0.00002764184],"domain_scores_gemma":[0.9995199,0.00008791337,0.0001455269,0.00003867017,0.0001556036,0.00005241883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001898568,0.0001290948,0.9715712,0.00003708603,0.0001653992,0.0002525954,0.0002106528,0.01833231,0.001176981,0.0002907363,0.001195596,0.006448478],"study_design_scores_gemma":[0.000002575977,0.00002166363,0.9913272,0.00000248135,0.00001430083,0.00002542752,0.0001319397,0.007691229,0.00009963313,0.0000327609,0.0006462156,0.000004640816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969541,0.00003532215,0.0001788341,0.00003642405,0.000004039604,0.00001132754,0.001489157,0.00001271983,0.00127808],"genre_scores_gemma":[0.9975272,0.00004309337,0.0001753097,0.00001920759,0.000005004926,0.00001194083,0.001878409,0.000004318521,0.000335403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1486621,"threshold_uncertainty_score":0.2955936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2303194675230453,"score_gpt":0.4645392675737149,"score_spread":0.2342198000506697,"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."}}