{"id":"W4386609780","doi":"10.1038/s41598-023-41573-9","title":"Unveiling the dynamics of emotions in society through an analysis of online social network conversations","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Sabancı Üniversitesi","keywords":"Valence (chemistry); Arousal; Dominance (genetics); Psychology; Emotional valence; Social psychology; Emotional contagion; Sentiment analysis; Social network (sociolinguistics); Cognitive psychology; Social media; Computer science; Cognition; World Wide Web; Biology; Artificial intelligence","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":[0.0006556613,0.0002123947,0.0002065288,0.002303207,0.0005136846,0.001815305,0.0001765543,0.0003393691,0.00157692],"category_scores_gemma":[0.003498323,0.0000994603,0.0002696827,0.002099201,0.0004159787,0.002018484,0.0008216035,0.0004991095,0.0004742449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003575878,"about_ca_system_score_gemma":0.0001935936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153971,"about_ca_topic_score_gemma":0.003347544,"domain_scores_codex":[0.9994546,0.0002003857,0.00003913471,0.0001085296,0.0001328224,0.00006464659],"domain_scores_gemma":[0.9972001,0.001574091,0.0007840713,0.0001034145,0.0002102269,0.0001281246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003095929,0.0001887365,0.7838186,0.0005751991,0.0003592904,0.0008683248,0.03814735,0.002815038,0.01689139,0.006594254,0.004951153,0.1444811],"study_design_scores_gemma":[0.000004598366,0.00008443228,0.9508363,0.00009142148,0.00006716215,0.0004245167,0.01981888,0.009470538,0.001475329,0.0038609,0.01381445,0.00005144921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870259,0.0006640491,0.004143165,0.0004955701,0.00004495382,0.00004135101,0.001382559,0.0000464589,0.006155996],"genre_scores_gemma":[0.9965619,0.0003947719,0.0016515,0.00004281485,0.00006134336,0.0000428743,0.0004945296,0.00001593931,0.0007344115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002303207,"threshold_uncertainty_score":0.005275369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306625435917603,"score_gpt":0.3158531223910617,"score_spread":0.2927868680318856,"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."}}