{"id":"W2791438573","doi":"10.1007/s13042-018-0798-5","title":"Topic specific emotion detection for retweet prediction","year":2018,"lang":"en","type":"article","venue":"International Journal of Machine Learning and Cybernetics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sentiment analysis; Computer science; Preference; Task (project management); Field (mathematics); Topic model; Social media; Social network (sociolinguistics); Information retrieval; Data science; World Wide Web; 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":[0.0002419667,0.00006810503,0.0001013193,0.0001064204,0.00007379008,0.00006035718,0.00009623869,0.00002425775,0.0001240996],"category_scores_gemma":[0.0000187689,0.00006250732,0.00008176943,0.00004820495,0.00003422609,0.00006869685,0.00002569024,0.0001691514,0.000001829197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002484719,"about_ca_system_score_gemma":0.000008063447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002649218,"about_ca_topic_score_gemma":0.00000512699,"domain_scores_codex":[0.999378,0.00003821576,0.0002560992,0.00008395944,0.0001716915,0.0000720147],"domain_scores_gemma":[0.9992138,0.00005476534,0.0002593465,0.00003924417,0.0004002427,0.0000326645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001632854,0.00008473019,0.2007474,0.000003880913,0.0003232096,0.000001417934,0.0004212676,0.0003582461,0.004326291,0.004044258,0.00102537,0.7885007],"study_design_scores_gemma":[0.00290215,0.00234128,0.0749578,0.00020937,0.0002471589,0.0001018224,0.0003820929,0.1605761,0.01845406,0.05097758,0.6884469,0.0004037126],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5971554,0.0001384243,0.4002575,0.0002452647,0.000539552,0.00005482248,0.000007766971,0.00002035891,0.001580905],"genre_scores_gemma":[0.9939603,0.00007060929,0.0026032,0.00001214465,0.002923024,0.000001423932,0.00001600124,0.000008484786,0.0004048701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.788097,"threshold_uncertainty_score":0.2548975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008949833579610511,"score_gpt":0.2716502070586415,"score_spread":0.262700373479031,"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."}}