{"id":"W2139265218","doi":"10.1080/02508281.2015.1075739","title":"What could the next 40 years hold for global tourism?","year":2015,"lang":"en","type":"article","venue":"Tourism Recreation Research","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tourism; Scope (computer science); Sustainability; Tourism geography; Futures contract; Sustainable tourism; Ecotourism; Politics; Economic growth; Regional science; Economic geography; Economy; Political science; Environmental resource management; Economics; Geography; Finance; Ecology","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01204699,0.0001732484,0.0002496973,0.0002460646,0.001336983,0.002349127,0.001530477,0.0002992456,0.0005356181],"category_scores_gemma":[0.005208928,0.0001459433,0.0001537546,0.00141194,0.001147756,0.001654882,0.0003651065,0.0006472128,0.0008544267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008892425,"about_ca_system_score_gemma":0.00150109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009177522,"about_ca_topic_score_gemma":0.001646209,"domain_scores_codex":[0.9926609,0.001497227,0.000315804,0.0005402,0.003663338,0.001322517],"domain_scores_gemma":[0.9953488,0.001305736,0.0001293151,0.0006818562,0.001803571,0.0007306816],"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":[0.0003813788,0.0001514522,0.0006994762,0.00001347793,0.00005612888,0.0001542161,0.004561954,0.00004189885,0.00003033804,0.03430824,0.9076301,0.05197132],"study_design_scores_gemma":[0.001257563,0.0002352597,0.003573149,0.00005950927,0.0000167885,0.000002353043,0.06707376,0.0004981432,0.00007648428,0.06152891,0.8654107,0.0002673889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4148989,0.004301665,0.0005213596,0.1631589,0.003536018,0.007374445,0.00006411483,0.0004921287,0.4056525],"genre_scores_gemma":[0.792613,0.004193828,0.00249339,0.0009691291,0.007606431,0.0009646449,0.00006817824,0.0001006539,0.1909907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3777141,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.297028369503417,"score_gpt":0.4788921747882288,"score_spread":0.1818638052848118,"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."}}