{"id":"W2218236909","doi":"10.1080/14616688.2015.1122077","title":"Beyond convention: reimagining indigenous tourism","year":2015,"lang":"en","type":"article","venue":"Tourism Geographies","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Tourism; Convention; Political science; Geography; Law; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002227563,0.0002317048,0.0003060718,0.0008519416,0.001060697,0.0004542895,0.0008650703,0.0001995659,0.0008779209],"category_scores_gemma":[0.0004177899,0.0002157368,0.0002113992,0.001376877,0.001246356,0.0008026463,0.0002583845,0.0005118583,0.0005896206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009330798,"about_ca_system_score_gemma":0.0004816852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01912558,"about_ca_topic_score_gemma":0.001178041,"domain_scores_codex":[0.9962369,0.0003673836,0.0003201512,0.0004521086,0.001592223,0.001031243],"domain_scores_gemma":[0.9980868,0.0001438846,0.000157205,0.0004567997,0.0004668391,0.0006885501],"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":[0.0001524433,0.000503473,0.05433894,0.00004361394,0.0003649605,0.004105843,0.06717155,0.00003182166,0.00005416295,0.06377938,0.7652943,0.04415949],"study_design_scores_gemma":[0.001643062,0.000271491,0.008849486,0.00005354545,0.00007952644,0.00001505096,0.0552516,0.00001459858,0.0001984526,0.1870893,0.7457315,0.0008023531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3012507,0.002164728,0.00008251947,0.01356921,0.002236225,0.0007359518,0.00001602302,0.000714921,0.6792297],"genre_scores_gemma":[0.9500594,0.001095903,0.002732055,0.0004362625,0.003190062,0.00006327856,0.00002269663,0.0000572854,0.04234306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6488087,"threshold_uncertainty_score":0.9874061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663883978205773,"score_gpt":0.3222183225912503,"score_spread":0.2855794828091926,"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."}}