{"id":"W573980699","doi":"10.5072/prism/16024","title":"Ecological consequences of recreation on subarctic-alpine tundra: experimental assessment and predictive modeling as planning tools for sustainable visitor management in protected areas","year":2000,"lang":"en","type":"book","venue":"Library and Archives Canada (Government of Canada)","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subarctic climate; Tundra; Recreation; Visitor pattern; Geography; Ecology; Environmental resource management; Environmental planning; Environmental science; Ecosystem; Archaeology; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003758932,0.0003843157,0.0001766461,0.0001903587,0.0002194647,0.0005734083,0.0004106195,0.0002480933,0.002244239],"category_scores_gemma":[0.0005646715,0.0001237064,0.0002047032,0.0003597192,0.0004208271,0.0003564619,0.0002013792,0.0003616959,0.0001917636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151894,"about_ca_system_score_gemma":0.0006846123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06736802,"about_ca_topic_score_gemma":0.1846759,"domain_scores_codex":[0.9999521,0.00001755866,0.000002115039,0.000006824489,0.00001796412,0.000003372055],"domain_scores_gemma":[0.9998091,0.0001249833,0.00001814611,0.00001586251,0.00002116457,0.00001070314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001664814,0.002919952,0.08556718,0.0008011705,0.0002653274,0.0006648705,0.002118028,0.2274795,0.04616095,0.017422,0.01583368,0.5991025],"study_design_scores_gemma":[0.0004109446,0.004519345,0.573942,0.0004668373,0.0006234939,0.0007397496,0.00271468,0.2841268,0.05073461,0.02245273,0.05909955,0.0001692809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470053,0.004093958,0.0083478,0.000707804,0.00007904438,0.00007987201,0.001190258,0.0001561684,0.03833984],"genre_scores_gemma":[0.9426571,0.006965238,0.008853796,0.0001512533,0.00004186798,0.00009486143,0.0007978073,0.00004243319,0.04039558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06736802,"threshold_uncertainty_score":0.1339518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235305129478228,"score_gpt":0.2391880790328774,"score_spread":0.2268350277380952,"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."}}