{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008041809,0.00006302779,0.0001987016,0.00007051483,0.000351322,0.00004202225,0.0001133902,0.00003245227,0.00006051554],"category_scores_gemma":[0.00000915427,0.0000545337,0.0002608792,0.003133383,0.0003061306,0.000131248,0.00005204066,0.00008808772,8.506586e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002738847,"about_ca_system_score_gemma":0.0001377371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006183154,"about_ca_topic_score_gemma":0.000667851,"domain_scores_codex":[0.998934,0.00004232935,0.0004120196,0.0002279586,0.000218164,0.0001655378],"domain_scores_gemma":[0.9991215,0.00005023788,0.0003441483,0.0003018244,0.0001623168,0.00002001117],"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":[0.000001717635,0.0002613339,0.4600902,0.00001384914,0.0005103985,0.000002079844,0.01424983,0.3673122,0.0002967466,0.1546035,0.001722739,0.0009353542],"study_design_scores_gemma":[0.00007970158,0.000007180999,0.2049763,0.00001355403,0.0001795503,1.294763e-7,0.01304475,0.7282196,0.00001657282,0.05284718,0.0005066426,0.0001089073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951521,0.000003490155,0.002985318,0.0004605892,0.0008434597,0.0001032095,0.0001103154,0.00001370494,0.000327866],"genre_scores_gemma":[0.9982045,0.000002032847,0.0002932294,0.000008038012,0.00007097034,0.000004223209,0.001119292,0.000004846177,0.0002928963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3609074,"threshold_uncertainty_score":0.270212,"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."}}