{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002516812,0.0005361616,0.0003754321,0.0008106716,0.002067371,0.001665871,0.001394509,0.002136917,0.002448697],"category_scores_gemma":[0.006090333,0.0004594767,0.0005235925,0.0006405044,0.001032436,0.001870975,0.001482046,0.0008746836,0.000898795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007733566,"about_ca_system_score_gemma":0.0008893543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00292192,"about_ca_topic_score_gemma":0.00775999,"domain_scores_codex":[0.9975783,0.001348809,0.0001545854,0.0002452738,0.0003930124,0.0002799811],"domain_scores_gemma":[0.9943863,0.003496069,0.0004288417,0.0005755974,0.0005823368,0.0005308106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001192961,0.008191878,0.04212218,0.003240774,0.0001526342,0.07813926,0.3033841,0.00564973,0.1839247,0.008022224,0.01228583,0.3536936],"study_design_scores_gemma":[0.0003580788,0.007747263,0.102471,0.001318939,0.0005889744,0.05319776,0.2245579,0.052488,0.3132862,0.003000304,0.2403964,0.000589048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720733,0.0001541714,0.01695878,0.0003438667,0.00002132483,0.0004014108,0.000114389,0.0005502003,0.009382615],"genre_scores_gemma":[0.9359379,0.0002653135,0.04424974,0.0002662016,0.00001280151,0.0002641222,0.0002849782,0.0003272431,0.01839169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00292192,"threshold_uncertainty_score":0.01331031,"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."}}