{"id":"W7020317544","doi":"","title":"L'effet de la qualité de service électronique sur la confiance et l'intention d'adoption du chatbot dans les services financiers : le rôle clé de l'anxiété avec la technologie","year":2022,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Windsor; Context (archaeology); Service (business)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009281705,0.0004614721,0.0005343215,0.0009069243,0.00169351,0.005551633,0.0008255941,0.001385123,0.01286192],"category_scores_gemma":[0.03975789,0.0003075266,0.0007760892,0.0008780165,0.00161395,0.002773696,0.00226333,0.002486479,0.001510032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004529079,"about_ca_system_score_gemma":0.004791973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860835,"about_ca_topic_score_gemma":0.02147069,"domain_scores_codex":[0.99309,0.003524239,0.0002774783,0.0004510068,0.001773545,0.0008837492],"domain_scores_gemma":[0.9363032,0.04346907,0.008846822,0.001176938,0.00611111,0.00409297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002248728,0.001700816,0.7026049,0.002536288,0.0006521636,0.0007759262,0.05795711,0.001601583,0.003904313,0.01642033,0.005896793,0.2037009],"study_design_scores_gemma":[0.0001521165,0.002038287,0.8757805,0.002027363,0.0006861939,0.0003143119,0.07462705,0.00620434,0.002478828,0.007164047,0.02837286,0.00015417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643405,0.002072461,0.003416641,0.004776759,0.0001084144,0.0001765768,0.0003075993,0.00005674668,0.02474429],"genre_scores_gemma":[0.9934779,0.0006982504,0.001234887,0.0004848452,0.00002722864,0.0001426148,0.0001005424,0.00001892926,0.003814669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01860835,"threshold_uncertainty_score":0.04908699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009316256414007103,"score_gpt":0.2226080532306521,"score_spread":0.213291796816645,"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."}}