{"id":"W4255121330","doi":"10.36227/techrxiv.12061602","title":"Developing Chatbot Wrapper for Online Shopping: A Case Study of Using Generic Mobile Messaging System","year":2020,"lang":"en","type":"preprint","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Chatbot; Computer science; World Wide Web; Text messaging; Mobile apps","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002883575,0.0003945775,0.0006972483,0.0003035661,0.0002172221,0.0002279269,0.001416757,0.0001523707,0.000004988306],"category_scores_gemma":[0.00002392819,0.0003892101,0.0001883641,0.0005258072,0.00001665482,0.0003004554,0.00354419,0.0004114056,0.00000274882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004663354,"about_ca_system_score_gemma":0.0005094192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002300387,"about_ca_topic_score_gemma":0.0005409535,"domain_scores_codex":[0.9971564,0.0001259924,0.000958483,0.001060384,0.0003523848,0.0003462868],"domain_scores_gemma":[0.9974269,0.0002106451,0.0006023105,0.001157001,0.0004903635,0.0001128032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006689151,0.004202896,0.004225332,0.02054696,0.003929004,0.007899418,0.1030506,0.7888511,0.008617132,0.02489493,0.0005041289,0.03321162],"study_design_scores_gemma":[0.0003262039,0.0001035293,0.00001478821,0.000564378,0.00009630447,0.001149085,0.04736613,0.9492809,0.0003232863,0.00005566701,0.0002729332,0.0004468446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4235576,0.00006540276,0.5737064,0.0002067774,0.0008151946,0.001327395,0.0000126722,0.0002626484,0.00004590552],"genre_scores_gemma":[0.6458003,0.000002174608,0.3536058,0.0001475864,0.0001328037,0.0002544959,0.000007615242,0.00003208081,0.00001713017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2222427,"threshold_uncertainty_score":0.999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2092072647948738,"score_gpt":0.388405571014219,"score_spread":0.1791983062193451,"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."}}