{"id":"W306657020","doi":"","title":"Border-Area Tourism and International Attractions: Benefit Dimensions and Segments","year":2011,"lang":"en","type":"article","venue":"Journal of global business and technology","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Experiential learning; Marketing; Revenue; Business; Value (mathematics); Variety (cybernetics); Service (business); Advertising; Sociology; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0004210833,0.00009275487,0.0000974371,0.0005166511,0.0002908796,0.0009132674,0.0001835882,0.0002004604,0.006500151],"category_scores_gemma":[0.001844766,0.0000465069,0.0001838664,0.0006716823,0.000467222,0.0006172754,0.0009115404,0.000305215,0.0002543768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004247299,"about_ca_system_score_gemma":0.0003481498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864608,"about_ca_topic_score_gemma":0.007918233,"domain_scores_codex":[0.9997622,0.0000722246,0.00001157688,0.00001783397,0.00009330679,0.00004281268],"domain_scores_gemma":[0.9984067,0.0005026514,0.0003954092,0.00006511866,0.0002545614,0.0003755792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002257978,0.0002085663,0.9664759,0.0001314673,0.00004018579,0.0001229886,0.003403124,0.0002761946,0.001023571,0.002353397,0.0005869829,0.02515176],"study_design_scores_gemma":[0.000003389309,0.0000938133,0.9923167,0.00002474079,0.00001084536,0.00006434137,0.005383973,0.0001519656,0.0001291645,0.0002273089,0.001590235,0.000003465068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918292,0.0001715424,0.0001388426,0.0001106489,0.000003144385,0.00002233995,0.000103571,0.000002204844,0.00761854],"genre_scores_gemma":[0.9991251,0.00006401178,0.0001576504,0.0000117247,0.000004091656,0.000009297954,0.00006990664,7.422635e-7,0.0005575406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006500151,"threshold_uncertainty_score":0.0217452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577701380036989,"score_gpt":0.3320227263804453,"score_spread":0.2962457125800754,"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."}}