{"id":"W4385762522","doi":"10.23977/jaip.2023.060505","title":"Exploration on User Acceptance Behavior of Hotel Artificial Intelligence Technology Based on Experience Quality","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loyalty; Service quality; Quality (philosophy); Marketing; Customer satisfaction; Business; Order (exchange); Service (business); Work (physics); Perspective (graphical); Knowledge management; Computer science; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001339513,0.0002253766,0.0002148461,0.0006649253,0.0002506889,0.0008395516,0.0001693239,0.0002787123,0.001610072],"category_scores_gemma":[0.006421145,0.000127949,0.0004349581,0.0004695128,0.0002440542,0.0006051326,0.0003248828,0.000387557,0.0002255348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721951,"about_ca_system_score_gemma":0.0002325393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662799,"about_ca_topic_score_gemma":0.001405539,"domain_scores_codex":[0.9987807,0.0005813799,0.00008034088,0.00009777991,0.0003272253,0.0001326668],"domain_scores_gemma":[0.9937218,0.003684092,0.000628008,0.0002141411,0.001458702,0.0002932952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004535403,0.0006816597,0.9323434,0.0001652682,0.00007604196,0.000220763,0.0116889,0.0004031425,0.008301881,0.00044111,0.0002997436,0.04492442],"study_design_scores_gemma":[0.00001004324,0.001360951,0.9768019,0.00003526094,0.00009085685,0.0003215124,0.01118778,0.006141409,0.002893915,0.0001862838,0.0009325024,0.00003750612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982616,0.00002929517,0.0005500459,0.00002911508,0.000001768146,0.00001690575,0.00002034769,0.000006192511,0.001084694],"genre_scores_gemma":[0.999365,0.00003276796,0.0002195266,0.00001508879,0.000001706863,0.00001445856,0.00003163634,0.000002363211,0.0003175327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001662799,"threshold_uncertainty_score":0.007084072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1881394062195048,"score_gpt":0.4621832391654202,"score_spread":0.2740438329459154,"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."}}