{"id":"W7135158247","doi":"","title":"Exploration de biais cognitifs chez les consommateurs lors de l’utilisation de l’intelligence artificielle en tourisme : influence sur le processus décisionnel. Présenté au congrès de l’Association des sciences administratives du Canada (ASAC 2024)","year":2024,"lang":"fr","type":"article","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":"Context (archaeology); Order (exchange); Public policy; Tourism","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00179285,0.0002719488,0.0002937876,0.0004205313,0.0009429186,0.000358957,0.0009043048,0.0002110293,0.00007272115],"category_scores_gemma":[0.0009668019,0.0003573677,0.0001022809,0.001337903,0.001128444,0.003047661,0.0002248473,0.0004885788,0.00001353536],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003266428,"about_ca_system_score_gemma":0.0139143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812327,"about_ca_topic_score_gemma":0.9965025,"domain_scores_codex":[0.9967489,0.0008570828,0.000415063,0.0005953092,0.0005115554,0.0008721221],"domain_scores_gemma":[0.9962169,0.002517308,0.0003305404,0.0002407701,0.0004233472,0.0002711389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001408247,0.000513174,0.06850567,0.0007177699,0.0001453947,0.0007229372,0.6032213,0.1295965,0.001132571,0.0184149,0.002174512,0.1747144],"study_design_scores_gemma":[0.0002677086,0.0002030192,0.1018715,0.001033632,0.00009345818,0.00008234188,0.2286976,0.6009144,0.00332686,0.06242338,0.0006659197,0.0004201619],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8747428,0.0005025187,0.1112763,0.01087654,0.0004023375,0.0002980071,0.00006638283,0.00006909662,0.001766049],"genre_scores_gemma":[0.9880137,0.0004908088,0.005577985,0.0001003062,0.00008013677,0.000006076498,0.00001356932,0.00001447189,0.005702887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4713178,"threshold_uncertainty_score":0.9998878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971692202793165,"score_gpt":0.2585560499496686,"score_spread":0.218839127921737,"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."}}