{"id":"W7024957164","doi":"","title":"Sustainable management of backcountry trail networks in British Columbia: Tourism, technology and climate change","year":2019,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Thompson Rivers University","keywords":"Government (linguistics); Exclosure; Context (archaeology); Sustainability; Human settlement; Recreation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003640977,0.0001851542,0.000175813,0.0007717675,0.008758684,0.003655619,0.0009078165,0.0005203035,0.005237624],"category_scores_gemma":[0.001034272,0.00021849,0.0001157073,0.002797778,0.001468582,0.0006821342,0.00197573,0.0008669089,0.0004144739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02841594,"about_ca_system_score_gemma":0.04697376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9807938,"about_ca_topic_score_gemma":0.9966465,"domain_scores_codex":[0.9994574,0.0000815888,0.00001534765,0.00005890531,0.0001336996,0.0002530874],"domain_scores_gemma":[0.9991386,0.00009527919,0.0000692664,0.00002748058,0.0003034685,0.0003658455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000226518,0.000632721,0.4363118,0.001096855,0.00008982758,0.008545574,0.0869349,0.002406409,0.00607175,0.007047717,0.04978346,0.4008524],"study_design_scores_gemma":[0.00001702319,0.00009277037,0.5496343,0.0005582154,0.00003287363,0.0005550067,0.3202065,0.001283498,0.0006414845,0.0008395625,0.1260592,0.00007947081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518965,0.001529606,0.0004811336,0.002532028,0.00003967038,0.0001484106,0.0006679232,0.00003427804,0.04267045],"genre_scores_gemma":[0.9780636,0.001525674,0.001008006,0.0004670309,0.000003683053,0.00006517805,0.0003271196,0.00001425499,0.01852546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02841594,"threshold_uncertainty_score":0.2061731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00507372335086888,"score_gpt":0.2125180760692771,"score_spread":0.2074443527184082,"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."}}