{"id":"W4232176182","doi":"10.1300/j150v12n04_04","title":"Visitor Communities","year":2005,"lang":"en","type":"article","venue":"Journal of Hospitality & Leisure Marketing","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visitor pattern; Business; Marketing; Tourism; Advertising; Destinations; Geography; Computer science; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.01293354,0.0001146378,0.0002914226,0.0001624361,0.0006678227,0.0003203269,0.0008400034,0.00009765317,0.0006348874],"category_scores_gemma":[0.001750613,0.0001070888,0.0002257261,0.0002139642,0.0003335963,0.0009019698,0.000148554,0.0005801906,0.00003457722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436567,"about_ca_system_score_gemma":0.0002914367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006999134,"about_ca_topic_score_gemma":0.0005147034,"domain_scores_codex":[0.9962336,0.001476004,0.0004863908,0.00008557374,0.001281978,0.0004364592],"domain_scores_gemma":[0.9974753,0.001002445,0.0004389096,0.0002051407,0.00065112,0.0002270386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000442988,0.0006321933,0.6753984,0.00008925462,0.0003460215,0.0003915293,0.02642608,0.000115663,0.0002035854,0.005091258,0.09841077,0.1924523],"study_design_scores_gemma":[0.001212912,0.0003062809,0.4288708,0.0004157331,0.00008813012,0.00003031995,0.180514,0.00008368391,0.000237189,0.001549426,0.3861606,0.0005309008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8276501,0.0004658807,0.00002260902,0.01109389,0.0004153781,0.00009390485,0.000002060956,0.00002796745,0.1602282],"genre_scores_gemma":[0.9936852,0.0002399871,0.001994235,0.00007520267,0.002679459,8.009237e-7,4.366509e-7,0.00001325624,0.001311423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2877499,"threshold_uncertainty_score":0.6951572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098137183916079,"score_gpt":0.3314743728153666,"score_spread":0.3104930009762059,"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."}}