{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003140575,0.0004725397,0.0002757869,0.0003282565,0.0008087515,0.00259362,0.001013264,0.001072242,0.03131889],"category_scores_gemma":[0.001128052,0.000286882,0.0005721101,0.0004541072,0.002542464,0.002611759,0.002407521,0.002154679,0.00471038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009435293,"about_ca_system_score_gemma":0.0005800201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908706,"about_ca_topic_score_gemma":0.002985746,"domain_scores_codex":[0.9997881,0.00008225349,0.000006026652,0.00003643452,0.00005889968,0.00002821088],"domain_scores_gemma":[0.9997388,0.0001656124,0.000005616489,0.00005143779,0.00002181481,0.00001679889],"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":[0.00001549059,0.00002695643,0.0001587115,0.0001772427,0.00001761612,0.00008967234,0.002015811,0.00982427,0.00214785,0.9055374,0.01405397,0.06593491],"study_design_scores_gemma":[0.000007903184,0.00001832575,0.0001763232,0.0001347594,0.00001253007,0.0001514921,0.0009934857,0.04704627,0.001693403,0.769245,0.1804999,0.00002049873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009222602,0.002039883,0.4387188,0.002422166,0.0004020892,0.00006917492,0.0001303868,0.001182319,0.5458126],"genre_scores_gemma":[0.4819981,0.002654234,0.1684452,0.001200398,0.0001891258,0.0002303421,0.0005736002,0.00106198,0.343647],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03131889,"threshold_uncertainty_score":0.1047721,"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."}}