{"id":"W4403035671","doi":"10.1080/14616688.2024.2402997","title":"Unsettling geographies of tourism","year":2024,"lang":"en","type":"article","venue":"Tourism Geographies","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Economic geography; Business; Geography; Aesthetics; Art; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004366377,0.0004764091,0.0005870484,0.00602349,0.006671456,0.01286243,0.001212457,0.002563709,0.006194317],"category_scores_gemma":[0.01103196,0.000315103,0.0004746893,0.007131082,0.03922742,0.01496607,0.008534727,0.005594523,0.0005721154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005924433,"about_ca_system_score_gemma":0.005652858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279171,"about_ca_topic_score_gemma":0.02107081,"domain_scores_codex":[0.995139,0.002866473,0.0002177317,0.0004321625,0.0009944288,0.0003501893],"domain_scores_gemma":[0.9920911,0.0050465,0.0007976111,0.0008300502,0.0007514062,0.0004834039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001829942,0.00000949365,0.002343266,0.0005467245,0.00001608815,0.0003484104,0.09334511,0.0002578301,0.0002249546,0.8182327,0.02773981,0.05691731],"study_design_scores_gemma":[0.00000381937,0.00002229401,0.006724394,0.001963629,0.00001430146,0.0005998742,0.1017657,0.0002528789,0.0001650168,0.2062168,0.6822249,0.00004649291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1014155,0.2258535,0.02281103,0.2817235,0.02006502,0.0001095382,0.0005594185,0.0002347754,0.3472277],"genre_scores_gemma":[0.8505635,0.1040163,0.005037586,0.01120067,0.009672999,0.00007001222,0.0002916734,0.000253006,0.01889428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01286243,"threshold_uncertainty_score":0.04298496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921419174367684,"score_gpt":0.3133074835559692,"score_spread":0.2940932918122924,"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."}}