{"id":"W4404827598","doi":"10.1080/13683500.2024.2431526","title":"Future-proofing nature-based tourism in Canada: a horizon scan of emerging challenges","year":2024,"lang":"en","type":"article","venue":"Current Issues in Tourism","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Royal Roads University; University of Northern British Columbia; Nipissing University; Medical Council of Canada; Wilfrid Laurier University; University of Waterloo; Parks Canada; Government of Alberta; University of British Columbia; Government of New Brunswick; University of Alberta; Public Health Agency of Canada; University of Ottawa; Nature Conservancy of Canada; Vancouver Island University; Mount Royal University","funders":"","keywords":"Tourism; Horizon; Regional science; Environmental resource management; Environmental planning; Political science; Geography; Economics; Archaeology; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001559236,0.0002429147,0.0004129598,0.0007652449,0.0001300605,0.0001035907,0.0007991585,0.000215759,0.0002095998],"category_scores_gemma":[0.000330588,0.0002520242,0.0001049452,0.0009796177,0.0001843703,0.0003334392,0.0001579186,0.001266042,0.0000146677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425987,"about_ca_system_score_gemma":0.002991918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7214578,"about_ca_topic_score_gemma":0.8801413,"domain_scores_codex":[0.9963776,0.000384322,0.0004603385,0.0005717248,0.001362908,0.0008431135],"domain_scores_gemma":[0.9989634,0.0003114611,0.00009170656,0.0003397291,0.0001055391,0.000188182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006994705,0.0003871995,0.00398154,0.00127496,0.00006641215,0.003428434,0.01830895,0.0003160863,0.00007833225,0.05675985,0.0941143,0.821214],"study_design_scores_gemma":[0.001008443,0.0001423651,0.008526807,0.003242745,0.00003121109,0.000001334489,0.0320884,0.00215664,0.001766984,0.01095334,0.9391367,0.0009450205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4702953,0.4160414,0.00001769034,0.04655314,0.01278952,0.00110209,0.00003624305,0.0001923988,0.05297225],"genre_scores_gemma":[0.9866914,0.01036828,0.0001820808,0.00001734308,0.002418034,0.00003630695,0.00000654935,0.00003127049,0.0002486968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8450224,"threshold_uncertainty_score":0.9999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960640718930464,"score_gpt":0.3578655605014248,"score_spread":0.3282591533121202,"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."}}