{"id":"W4392908748","doi":"10.1080/09669582.2024.2331228","title":"How climate change and population growth will shape attendance and human-wildlife interactions at British Columbia parks","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Tourism","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wildlife; Attendance; Climate change; Population growth; Geography; Population; Wildlife management; Environmental resource management; Environmental planning; Ecology; Economic growth; Environmental science; Demography; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005153922,0.0002019062,0.0001327545,0.0004424179,0.0008132344,0.001474903,0.0006775822,0.0004467393,0.003071476],"category_scores_gemma":[0.001740397,0.0001895847,0.0003379508,0.000930825,0.0004046265,0.00048532,0.0005333081,0.0005797004,0.0002535279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009965663,"about_ca_system_score_gemma":0.003885947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9195644,"about_ca_topic_score_gemma":0.9656196,"domain_scores_codex":[0.9997388,0.0000702905,0.000008789787,0.00004228837,0.00002881131,0.000111042],"domain_scores_gemma":[0.9994321,0.0001340524,0.00007869463,0.00003605989,0.0001808014,0.0001381131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001537658,0.0001045028,0.8795033,0.00004964683,0.00009722685,0.0002789449,0.0009348856,0.09857232,0.0009599177,0.001499102,0.00375126,0.01409508],"study_design_scores_gemma":[0.00002116656,0.00006037982,0.8434585,0.00006471529,0.00007781307,0.00007078848,0.003793127,0.1466484,0.0002996148,0.0009801434,0.004460131,0.00006523486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933618,0.00008774733,0.0004789702,0.0003690137,0.000008395276,0.00001974161,0.001736836,0.00001747538,0.003919963],"genre_scores_gemma":[0.997291,0.0001064352,0.0003471816,0.00003325598,0.000001850338,0.00001647632,0.0006490278,0.000004416039,0.001550158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08043563,"threshold_uncertainty_score":0.1618186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301154684581707,"score_gpt":0.2440713879063694,"score_spread":0.2310598410605523,"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."}}