{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01852233,0.001070536,0.001991892,0.001879712,0.0003994695,0.001105408,0.002048044,0.001161957,0.0005608475],"category_scores_gemma":[0.02511434,0.0008854393,0.0009034261,0.003059809,0.0001865381,0.0001895529,0.001564466,0.002199258,0.0004681518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009414402,"about_ca_system_score_gemma":0.0006387271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003839723,"about_ca_topic_score_gemma":0.00009993939,"domain_scores_codex":[0.9863995,0.002886565,0.003251894,0.002890139,0.003742431,0.0008295183],"domain_scores_gemma":[0.9851565,0.007268204,0.00210868,0.003612325,0.001097464,0.0007568552],"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":[0.0004997575,0.0002530699,0.006170041,0.0009079116,0.0004911397,0.01319051,0.0007934865,0.854961,0.0001059447,0.01302097,0.005673445,0.1039327],"study_design_scores_gemma":[0.0005188826,0.0001812945,0.001113389,0.000853302,0.0002990508,0.0005441895,0.0007307776,0.9885171,0.0002040968,0.005085827,0.001048272,0.0009038371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0413,0.0001616646,0.8479723,0.003547036,0.006397646,0.001963669,0.0002141308,0.001773999,0.09666952],"genre_scores_gemma":[0.9174575,0.000009375086,0.07916744,0.0003989119,0.0004025753,0.00005285815,0.00005731406,0.0001367889,0.002317281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8761575,"threshold_uncertainty_score":0.9999315,"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."}}