{"id":"W2071024865","doi":"10.3354/cr027105","title":"Climate change and the distribution of climatic resources for tourism in North America","year":2004,"lang":"en","type":"article","venue":"Climate Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":341,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Climate change; Geography; HadCM3; Destinations; Distribution (mathematics); Alternative tourism; Economy; Environmental resource management; Tourism geography; Economics; Ecology; General Circulation Model","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001857703,0.000155676,0.000173865,0.000555179,0.0004682872,0.0008271143,0.0002116937,0.0001912115,0.001340915],"category_scores_gemma":[0.0004308433,0.0001116181,0.0004203728,0.001364326,0.000350792,0.0003949207,0.0005294232,0.0002808925,0.00007725225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147478,"about_ca_system_score_gemma":0.0007887212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1879884,"about_ca_topic_score_gemma":0.2856094,"domain_scores_codex":[0.9998879,0.00002123478,0.000005687197,0.00003187147,0.00002558225,0.00002759493],"domain_scores_gemma":[0.9998092,0.00002254943,0.00005970747,0.00001007892,0.00005957608,0.00003885039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009463078,0.00006255489,0.9697788,0.0001018887,0.0002296575,0.000307515,0.00118023,0.01058865,0.002190076,0.0008106363,0.002397811,0.01225759],"study_design_scores_gemma":[0.000003021941,0.000007821563,0.9943937,0.000008401634,0.00001734366,0.00003216148,0.0007662114,0.003323849,0.00004769865,0.0001414729,0.001251698,0.000006586328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949006,0.0004732876,0.000287719,0.000390334,0.00001850906,0.0000111252,0.0008623306,0.0000165279,0.003039474],"genre_scores_gemma":[0.9985806,0.0002778741,0.0002293061,0.00005820004,0.00001074723,0.00001154172,0.0005029869,0.000004314264,0.0003244624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8120116,"threshold_uncertainty_score":0.3737883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07966915727985566,"score_gpt":0.3360020636193852,"score_spread":0.2563329063395295,"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."}}