{"id":"W4247498479","doi":"10.36227/techrxiv.12061095","title":"Chatbot Analytics Based on Question Answering System Movie Related Chatbot Case Analytics.pdf","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Chatbot; Analytics; Question answering; Computer science; World Wide Web; Data science; Information retrieval","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001625547,0.001602962,0.0008061585,0.004041427,0.0006562587,0.001801146,0.001354436,0.001039324,0.02617803],"category_scores_gemma":[0.008012703,0.0003245383,0.0006377185,0.00140105,0.0002491237,0.002567405,0.001383299,0.001061227,0.01176978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006447386,"about_ca_system_score_gemma":0.0005525282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005320314,"about_ca_topic_score_gemma":0.004500375,"domain_scores_codex":[0.9986269,0.0003575289,0.0001114236,0.0003766232,0.0004144988,0.0001129785],"domain_scores_gemma":[0.9958566,0.002219576,0.0002165462,0.0005660618,0.0007488747,0.0003923366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002934266,0.002049536,0.01965929,0.001702427,0.0002575639,0.002351983,0.002733959,0.007705485,0.03904816,0.005559668,0.3245665,0.5914313],"study_design_scores_gemma":[0.000385808,0.001330555,0.05101606,0.0003909676,0.0002382061,0.001442828,0.002662408,0.6571845,0.07140379,0.01688551,0.1967274,0.0003320479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.1609363,0.001513716,0.2966314,0.002043646,0.0008901482,0.003259502,0.07522271,0.4211511,0.03835145],"genre_scores_gemma":[0.5596359,0.0007464985,0.2702643,0.0008932364,0.000429864,0.002597474,0.1111778,0.005376789,0.0488782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02617803,"threshold_uncertainty_score":0.08757424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.174910540443059,"score_gpt":0.4125514275422191,"score_spread":0.2376408870991601,"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."}}