{"id":"W4404145943","doi":"10.1007/978-3-031-73125-9_9","title":"Analyzing E-Commerce Dynamics: Customer Satisfaction, Revenue Prediction, and Sentiment Analysis in Retail","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Revenue; Business; Dynamics (music); Customer satisfaction; Marketing; Advertising; Psychology; Finance","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":[0.00045509,0.0004500381,0.0004063754,0.0006807749,0.0002218964,0.00133165,0.0004394796,0.000520057,0.002736539],"category_scores_gemma":[0.001282474,0.0002758295,0.0003883827,0.001655819,0.0003450217,0.002077742,0.0003527324,0.0007574593,0.001044901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644929,"about_ca_system_score_gemma":0.0002299472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232645,"about_ca_topic_score_gemma":0.002983843,"domain_scores_codex":[0.9998659,0.00003194038,0.000008213269,0.00003374272,0.00004800973,0.00001217188],"domain_scores_gemma":[0.999626,0.0002487118,0.0000298822,0.00001575037,0.00006219924,0.00001740831],"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":[0.0003043988,0.0003840468,0.03286794,0.0003902699,0.0001737208,0.0002834596,0.000495765,0.03603643,0.007427722,0.02786656,0.04167046,0.8520992],"study_design_scores_gemma":[0.0000186204,0.0001992914,0.0527018,0.0001839502,0.00009454001,0.0004728971,0.0006353051,0.8223829,0.005601965,0.09051598,0.02712534,0.00006737411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4801829,0.05749761,0.3767432,0.01025966,0.00142593,0.0001360655,0.001653122,0.00145471,0.07064673],"genre_scores_gemma":[0.8788891,0.0164343,0.06795201,0.0005126134,0.001099803,0.00006555548,0.00146664,0.000205723,0.03337429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002736539,"threshold_uncertainty_score":0.009154618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211807815417715,"score_gpt":0.2316996988872652,"score_spread":0.2195816207330881,"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."}}