{"id":"W4251902107","doi":"10.4000/communication.9470","title":"Peter VASTERMAN (dir.) (2018), From Media Hype to Twitter Storm: News Explosions and Their Impact on Issues, Crises and Public Opinion","year":2019,"lang":"en","type":"article","venue":"Communication","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Public opinion; Storm; Political science; News media; Media studies; Social media; History; Sociology; Meteorology; Law; Geography; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001588033,0.0001058999,0.0001485745,0.00006708116,0.0002814218,0.0001406064,0.0002918213,0.00009512813,0.0002117003],"category_scores_gemma":[0.0002483535,0.00008179445,0.00003082476,0.00009763519,0.0001316883,0.0002511356,0.0001364247,0.0001328101,0.000118852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006639168,"about_ca_system_score_gemma":0.00005603889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009257492,"about_ca_topic_score_gemma":0.002302969,"domain_scores_codex":[0.9990192,0.0003544652,0.0001258839,0.0001433004,0.0001480567,0.0002091013],"domain_scores_gemma":[0.9984379,0.0007124367,0.00005750038,0.000513372,0.00005562726,0.0002231361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005046574,0.0001755133,0.420958,0.00001623597,0.00007081081,2.902023e-7,0.4337589,6.887495e-7,0.001914649,0.003161085,0.0910618,0.04883158],"study_design_scores_gemma":[0.0004871804,0.0001689011,0.4088268,0.000147873,0.00002038953,4.530149e-7,0.05199185,0.00002907702,0.0002302948,0.007060764,0.5306823,0.0003541026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829542,0.003463926,0.000007322702,0.01122033,0.0004026446,0.0002535464,0.00002231542,0.00004205463,0.001633649],"genre_scores_gemma":[0.9950377,0.003262344,0.0001654658,0.001013356,0.0003144629,0.00001883453,0.00006464782,0.00001210235,0.0001110941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4396206,"threshold_uncertainty_score":0.99734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108898178876414,"score_gpt":0.3742915488366629,"score_spread":0.2634017309490214,"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."}}