{"id":"W2525623085","doi":"10.1109/wcica.2016.7578775","title":"User characteristics based information diffusion model for analysis of hot social events","year":2016,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microblogging; Computer science; Social media; Diffusion; The Internet; Feature (linguistics); Social network (sociolinguistics); World Wide Web","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":[0.00009484182,0.00007773075,0.0002279335,0.0001778163,0.00005468594,0.000009668545,0.00009354897,0.00002438758,0.0003543315],"category_scores_gemma":[0.000003562952,0.00005336914,0.000275631,0.0002365755,0.00001227453,0.0001577054,0.00002944415,0.00001761609,0.000002470516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001734131,"about_ca_system_score_gemma":0.0000191503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002803387,"about_ca_topic_score_gemma":0.00000610048,"domain_scores_codex":[0.9994087,0.00001188945,0.0002844337,0.00007612438,0.0001124564,0.0001063866],"domain_scores_gemma":[0.9994552,0.0000468091,0.000203593,0.000132977,0.0001394335,0.00002199981],"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":[0.0002988048,0.0006050131,0.4993789,0.0000379523,0.002979132,2.779431e-8,0.0005005066,0.001630836,0.00659554,0.1840021,0.007908879,0.2960623],"study_design_scores_gemma":[0.0003357041,0.00001218031,0.03581703,0.000006636398,0.0006061156,1.508666e-9,0.00001038481,0.9586411,0.0007480555,0.00302958,0.0006896274,0.0001036315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1842248,1.420388e-7,0.814963,0.00007039185,0.000006848177,0.00009943403,0.0001657083,0.00002021309,0.0004493789],"genre_scores_gemma":[0.9944183,3.117275e-7,0.004862077,0.00004232086,0.00004298536,0.00003095331,0.0002950671,0.000004599675,0.0003034156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9570102,"threshold_uncertainty_score":0.3879681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761450075840943,"score_gpt":0.2764487009802232,"score_spread":0.2588342002218138,"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."}}