{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001698721,0.0002700502,0.0003880211,0.002486841,0.0006814905,0.000439524,0.0008599224,0.0002346136,0.001314622],"category_scores_gemma":[0.0002812028,0.0002619856,0.0004950773,0.003582334,0.002187735,0.0006917419,0.0002215062,0.0004740767,0.0001503079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002991223,"about_ca_system_score_gemma":0.0001896572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01302927,"about_ca_topic_score_gemma":0.001073238,"domain_scores_codex":[0.9964508,0.0002596552,0.0004452914,0.000531755,0.001393584,0.0009188505],"domain_scores_gemma":[0.9983377,0.0005751644,0.00009993974,0.0004604636,0.0002508007,0.0002759075],"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":[0.0001314052,0.00047431,0.02247459,0.0008185812,0.001354992,0.003994165,0.02565196,0.00008358042,0.001144599,0.3805226,0.478525,0.08482429],"study_design_scores_gemma":[0.0006427064,0.0003010215,0.01686418,0.0007744916,0.0002607608,0.00001125936,0.03140116,0.0001148903,0.00200429,0.1485927,0.7978323,0.001200283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7287142,0.02633972,0.0001491168,0.01332307,0.002555518,0.0008274429,0.00008429852,0.001496226,0.2265105],"genre_scores_gemma":[0.9828933,0.00891193,0.0009610301,0.0000654045,0.001110005,0.00003125066,0.000009124367,0.00004718006,0.005970738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3193074,"threshold_uncertainty_score":0.9999833,"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."}}