{"id":"W3014795181","doi":"10.36227/techrxiv.12061095.v1","title":"Chatbot Analytics Based on Question Answering System Movie Related Chatbot Case Analytics","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Chatbot; Analytics; Computer science; Question answering; 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":[0.001781382,0.00120566,0.000784491,0.002478749,0.0005990044,0.001711622,0.001193826,0.001005886,0.006443552],"category_scores_gemma":[0.008357857,0.0002086136,0.000503195,0.001131261,0.0002635206,0.002177802,0.0008787547,0.001021696,0.002691923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006457988,"about_ca_system_score_gemma":0.0005855857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004477476,"about_ca_topic_score_gemma":0.004402482,"domain_scores_codex":[0.9982315,0.000611454,0.0001148169,0.0004140966,0.0004921787,0.0001360197],"domain_scores_gemma":[0.9954317,0.002391534,0.000306597,0.0005392739,0.0009735317,0.000357364],"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":[0.004007107,0.003097624,0.06934285,0.001964311,0.0004410521,0.002910671,0.003602321,0.02473895,0.08998229,0.01103124,0.06835581,0.7205258],"study_design_scores_gemma":[0.000099622,0.0007244528,0.03918791,0.000112363,0.0001574588,0.0006777792,0.001315485,0.8780938,0.04628105,0.008953326,0.02427934,0.0001173939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4732032,0.001515253,0.4230033,0.001784578,0.0005196345,0.002269221,0.01202504,0.06230833,0.02337137],"genre_scores_gemma":[0.8546683,0.0003062021,0.1227063,0.0003012216,0.0001729714,0.0005949479,0.009317359,0.000391279,0.01154148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006443552,"threshold_uncertainty_score":0.02155584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971645326142765,"score_gpt":0.4201190356028617,"score_spread":0.2229545029885852,"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."}}