{"id":"W2016763080","doi":"10.1007/s11769-006-0028-z","title":"Fuzzy synthetic evaluation on resident’s perceptions of tourism impacts","year":2006,"lang":"en","type":"article","venue":"Chinese Geographical Science","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Perception; Fuzzy logic; China; Rank (graph theory); Computer science; Operations research; Geography; Data mining; Mathematics; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005234706,0.0001369759,0.0001777863,0.0007622528,0.001188106,0.0002125862,0.0009984144,0.00009786422,0.0006976465],"category_scores_gemma":[0.002988197,0.0001074673,0.0001481557,0.003736432,0.003662943,0.0005496159,0.0001493147,0.000235754,0.0001067964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001547409,"about_ca_system_score_gemma":0.0005505615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146535,"about_ca_topic_score_gemma":0.002646919,"domain_scores_codex":[0.9946486,0.0002917132,0.0002657319,0.0004785412,0.003638414,0.0006769726],"domain_scores_gemma":[0.9982146,0.0003047201,0.0001098265,0.0004350942,0.0006153723,0.000320357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001365549,0.001509063,0.5094273,0.00004256714,0.00003149692,0.00008179675,0.005771406,0.001680528,0.02873085,0.4302411,0.006112825,0.01623446],"study_design_scores_gemma":[0.0002223955,0.00008446353,0.8140466,0.00003321203,0.00001306511,8.682903e-7,0.0008660417,0.0001926416,0.0001027114,0.1841958,0.0001040791,0.000138169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8419768,0.00005297968,0.000008395647,0.003915673,0.0002071289,0.0003615592,0.000005722246,0.00005503611,0.1534167],"genre_scores_gemma":[0.9991109,0.000050978,0.0001344731,0.00004403291,0.0002856356,0.00001699175,0.000002428738,0.000006971195,0.000347564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3046193,"threshold_uncertainty_score":0.9990485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528832437665326,"score_gpt":0.3534311045732789,"score_spread":0.3381427801966256,"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."}}