{"id":"W3183584039","doi":"","title":"Chatbot for Support Service: An Artificial Intelligence Enabled Indigenous Artefact","year":2021,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chatbot; Computer science; Indigenous; Service (business); Artificial intelligence; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001791964,0.0005183929,0.000238567,0.001008393,0.004217614,0.002965564,0.001432552,0.0013095,0.00721602],"category_scores_gemma":[0.003644467,0.0001986604,0.0003210552,0.0007618219,0.003535332,0.002403739,0.003648045,0.0008285827,0.001467802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682456,"about_ca_system_score_gemma":0.003826342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02583782,"about_ca_topic_score_gemma":0.05429403,"domain_scores_codex":[0.9989592,0.0005590476,0.00004066938,0.00009368139,0.0002241388,0.0001231885],"domain_scores_gemma":[0.9974388,0.001161443,0.0001228166,0.0003920964,0.00027179,0.0006130106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009186528,0.001041397,0.01817341,0.002678657,0.0001278981,0.006697401,0.3576116,0.005021408,0.05224209,0.2042986,0.05790871,0.2932802],"study_design_scores_gemma":[0.0001566316,0.0009913305,0.01604183,0.0008533164,0.0001635104,0.003104928,0.08793887,0.02684579,0.01411935,0.03350529,0.8160111,0.0002680836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4882226,0.001197871,0.2503485,0.008047778,0.000782925,0.001545785,0.00095331,0.008772285,0.240129],"genre_scores_gemma":[0.8374651,0.0003861015,0.104072,0.0005920728,0.0000911352,0.0005841329,0.0004487693,0.0003195392,0.05604116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02583782,"threshold_uncertainty_score":0.05137485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03220140067909192,"score_gpt":0.2935941620170434,"score_spread":0.2613927613379515,"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."}}