{"id":"W7117299954","doi":"10.1007/978-3-031-75316-9_61-1","title":"Generative AI for Deeper Tourism Journey Engagement","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Customer engagement; Tourism; Bridging (networking); Generative grammar; Customer service; Service (business); Service provider; Public engagement","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":[0.0002013589,0.0003179795,0.0002881377,0.000232879,0.0002650292,0.0002976454,0.001116494,0.0002247874,0.00113252],"category_scores_gemma":[0.00002573594,0.0002862432,0.0002520145,0.00003717273,0.00002179644,0.0003695104,0.000580079,0.0005681954,0.000270918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927116,"about_ca_system_score_gemma":0.0002429912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001890327,"about_ca_topic_score_gemma":0.0001002979,"domain_scores_codex":[0.9985148,0.00002494965,0.0003757921,0.000579947,0.0002601594,0.0002443926],"domain_scores_gemma":[0.9982004,0.0003147666,0.0001557119,0.000813693,0.0004275939,0.00008789646],"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":[0.000001495773,0.000009591573,1.462943e-7,0.00001375246,0.00009579756,0.000006126816,0.0001653194,0.00002380822,0.000006558775,0.6589738,0.3343444,0.006359301],"study_design_scores_gemma":[0.0001325388,0.0000523677,8.66827e-7,0.00008366185,0.00003498812,0.000005428236,0.00001423978,0.006506052,0.000287861,0.1594173,0.8331969,0.0002677354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.423224e-7,0.00007125836,0.5274729,0.008554936,0.001195217,0.0003157751,0.00001261595,0.0001039311,0.4622733],"genre_scores_gemma":[0.00001879842,0.00004485671,0.1953044,0.01267105,0.0004276011,0.00008322697,0.00001542359,0.00002066951,0.791414],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4995564,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417820614769988,"score_gpt":0.3132812737149798,"score_spread":0.2691030675672799,"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."}}