{"id":"W4321843579","doi":"10.1109/icatiece56365.2022.10046928","title":"Behavioral Study of Customer Using Deep Learning Techniques","year":2022,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Pessimism; Purchasing; Audit; Computer science; Order (exchange); Feeling; The Internet; Task (project management); Data science; Knowledge management; World Wide Web; Marketing; Psychology; Business; Management; Social psychology","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":[0.0006827042,0.0001742294,0.000199407,0.0005236599,0.0003090644,0.0005577442,0.0002715851,0.0003862813,0.003723578],"category_scores_gemma":[0.002525846,0.00008529524,0.000206838,0.000618911,0.0001544368,0.0004365857,0.0002595888,0.0006734873,0.0009740726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003251955,"about_ca_system_score_gemma":0.0002423765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004761672,"about_ca_topic_score_gemma":0.006165701,"domain_scores_codex":[0.9995757,0.0001453222,0.00002075969,0.00006528735,0.0001269357,0.00006607112],"domain_scores_gemma":[0.9984596,0.0007442872,0.0001370862,0.00007636152,0.0004510246,0.0001317047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006132369,0.003772727,0.7632706,0.0002038636,0.0001375409,0.0005174133,0.007827474,0.006373874,0.01189234,0.002048243,0.01139814,0.1919446],"study_design_scores_gemma":[0.00002092806,0.002520053,0.8569108,0.00006818901,0.0000724541,0.0004835489,0.01275218,0.1135718,0.005556478,0.001398875,0.00657279,0.000071929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908229,0.0000510951,0.003018277,0.00025872,0.00001613274,0.00004665462,0.000590416,0.00004611613,0.00514969],"genre_scores_gemma":[0.9918506,0.0000830225,0.002509733,0.0001402192,0.00001404539,0.00005107867,0.0005589245,0.000008710833,0.004783617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004761672,"threshold_uncertainty_score":0.01245666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846380992163602,"score_gpt":0.3330250835556002,"score_spread":0.2845612736339642,"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."}}