{"id":"W4412526096","doi":"10.1038/s41598-025-12478-6","title":"Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Modal; Relation (database); Customer relationship management; Psychology; Data mining; Database","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":[0.0003664075,0.0002856652,0.0002066003,0.0003664551,0.0002382821,0.0009478131,0.0002666121,0.0003736132,0.002405327],"category_scores_gemma":[0.0009618152,0.0001272764,0.0002905614,0.0002468127,0.0001838634,0.0007677455,0.0005185627,0.0003628034,0.0005678913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080159,"about_ca_system_score_gemma":0.0001207157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004557927,"about_ca_topic_score_gemma":0.0008766719,"domain_scores_codex":[0.9997316,0.00009232038,0.00001102371,0.00006278201,0.00005882383,0.00004349467],"domain_scores_gemma":[0.9997783,0.00009300703,0.00003152735,0.00001705358,0.0000593524,0.00002064633],"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":[0.0009223394,0.0006799974,0.006892995,0.0002923366,0.000113894,0.0002530583,0.001021897,0.01721516,0.2995035,0.003914701,0.003158184,0.666032],"study_design_scores_gemma":[0.00004175489,0.0007280933,0.0446011,0.00009150773,0.0002441053,0.000481207,0.001192911,0.8355365,0.09448608,0.0146443,0.007839364,0.0001129416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4915167,0.001138132,0.4886741,0.000724262,0.0001935621,0.0001864782,0.0001793919,0.00140549,0.01598206],"genre_scores_gemma":[0.9363118,0.0002138887,0.06050925,0.0001911039,0.00004996939,0.0000586762,0.00006208279,0.00003843927,0.002564837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002405327,"threshold_uncertainty_score":0.008046567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237821183011821,"score_gpt":0.3336069181018943,"score_spread":0.3112287062717761,"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."}}