{"id":"W4390641500","doi":"10.4000/tourisme.6376","title":"Exploring explorers, travellers, and tourists: digital humanities approaches in North America and the United Kingdom","year":2023,"lang":"en","type":"article","venue":"Mondes du tourisme","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yale University","keywords":"Scope (computer science); Digital humanities; Tourism; Kingdom; Colonialism; Scale (ratio); Key (lock); Political science; Humanities; Set (abstract data type); Media studies; Regional science; Sociology; Geography; Cartography; Art; Computer science; Law","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":[0.0002555973,0.0001596118,0.000219286,0.0003381818,0.0005672684,0.0001087291,0.0001168452,0.00005310636,0.00001317231],"category_scores_gemma":[0.0001499774,0.0001180541,0.00003166689,0.0006118059,0.0002927062,0.0004487335,0.0001134109,0.0003305798,0.00003863327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006248965,"about_ca_system_score_gemma":0.0000389527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008562179,"about_ca_topic_score_gemma":0.0001096236,"domain_scores_codex":[0.998784,0.0001379328,0.0003004374,0.0002458125,0.0001509544,0.0003808494],"domain_scores_gemma":[0.9989606,0.0006717541,0.00009785232,0.0001686577,0.00002547259,0.0000756549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005211558,0.0002125932,0.2393419,0.0005553197,0.0001320321,0.00006188501,0.6294206,0.0007513012,0.000004170481,0.007708272,0.02465857,0.09663224],"study_design_scores_gemma":[0.003117207,0.0001349274,0.2934476,0.0003046005,0.00004096357,0.00000448911,0.3629915,0.005445132,0.000006609372,0.003600379,0.3302388,0.0006678358],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937478,0.0001638811,0.00004197381,0.001775645,0.0002654934,0.0003400969,0.00001556896,0.0001613801,0.003488216],"genre_scores_gemma":[0.9968732,0.0006503122,0.00002854011,0.0001977712,0.0003015027,0.0002742432,0.0001079705,0.00002929791,0.001537135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3055802,"threshold_uncertainty_score":0.4814108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3310296038736282,"score_gpt":0.320109618256868,"score_spread":0.01091998561676016,"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."}}