{"id":"W1490336673","doi":"10.1300/j162v07n01_09","title":"The Tourism Intelligence Network","year":2006,"lang":"en","type":"article","venue":"Journal of Quality Assurance in Hospitality & Tourism","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Tourism; Business; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001659284,0.0003568012,0.0002648596,0.002698853,0.002979658,0.004716397,0.0006896438,0.0007613095,0.08348057],"category_scores_gemma":[0.002851695,0.0001810497,0.0001566483,0.003836341,0.0004620432,0.001312569,0.001637206,0.0006813081,0.01882567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006972246,"about_ca_system_score_gemma":0.01317145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6487805,"about_ca_topic_score_gemma":0.6354083,"domain_scores_codex":[0.9989187,0.0001324627,0.00004442585,0.0001034334,0.0005441417,0.0002569035],"domain_scores_gemma":[0.9959862,0.000234064,0.0001919564,0.0003277237,0.002436768,0.0008233043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004104682,0.00002180155,0.003891361,0.00009430804,0.000007900977,0.0002102458,0.0003606976,0.0004754357,0.0003742744,0.009867867,0.8691853,0.1154698],"study_design_scores_gemma":[0.000004822581,0.000005057213,0.003606806,0.00004428702,0.000003012626,0.00004096368,0.0002760223,0.0007230771,0.00009906723,0.0003249637,0.9948649,0.000007153911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01409381,0.003422708,0.002298556,0.02311882,0.0008657088,0.0001963469,0.008727271,0.001686964,0.9455899],"genre_scores_gemma":[0.08721918,0.003131208,0.002921177,0.001663819,0.0002735534,0.00009983152,0.01414178,0.0002804866,0.8902689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6487805,"threshold_uncertainty_score":0.7065758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383805285602245,"score_gpt":0.3672660105706024,"score_spread":0.33342795771458,"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."}}