{"id":"W2139039715","doi":"10.1080/09669580508668584","title":"Environmental Management, Environmental Image and the Competitive Tourist Attraction","year":2005,"lang":"en","type":"article","venue":"Journal of Sustainable Tourism","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Wilfrid Laurier University","keywords":"Attraction; Tourism; Business; Tourist attraction; China; Destination management; Destinations; Destination image; Tourist destinations; Marketing; Scale (ratio); Competitive advantage; Process (computing); Environmental resource management; Advertising; Geography; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002186159,0.0001412368,0.0002284577,0.0001985578,0.0009228996,0.0002771509,0.0004189171,0.00007277459,0.001120195],"category_scores_gemma":[0.00007394718,0.0001087039,0.0001415578,0.0001029912,0.001279723,0.001324995,0.0002234103,0.0004506366,0.00007256425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006594908,"about_ca_system_score_gemma":0.00006290435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002883694,"about_ca_topic_score_gemma":0.00001439321,"domain_scores_codex":[0.9976677,0.0003511407,0.0003364748,0.0001649195,0.000951815,0.0005279623],"domain_scores_gemma":[0.9990511,0.000209335,0.0003383681,0.000151093,0.00004041358,0.0002096726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004232295,0.003132307,0.004262913,0.0001886693,0.00184405,0.037761,0.05035785,0.000254263,0.001348843,0.523401,0.2442508,0.1289661],"study_design_scores_gemma":[0.003873424,0.0001234423,0.01107538,0.00001985857,0.0001249899,0.00008844893,0.3520065,0.00002829987,0.0001937462,0.005693346,0.6265565,0.0002160863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6289766,0.002153902,0.0002144568,0.03505727,0.0002720561,0.001133235,0.0000105524,0.00003118398,0.3321507],"genre_scores_gemma":[0.9634122,0.003267977,0.0009531721,0.0001814719,0.001123169,0.000005965691,9.495391e-7,0.00001574706,0.03103938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5177076,"threshold_uncertainty_score":0.9997929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005640188893004144,"score_gpt":0.254481094865271,"score_spread":0.2488409059722669,"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."}}