{"id":"W3123022285","doi":"","title":"High Frequency Newswire Textual Sentiment: Evidence from international stock markets during the European Financial Crisis","year":2015,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pessimism; Stock (firearms); Financial crisis; Stock market; Globe; Economics; Media coverage; Financial market; Monetary economics; Financial economics; Business; Finance; Geography; Keynesian economics; Media studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001468057,0.0004833027,0.0004591693,0.0003985279,0.001556506,0.0002819849,0.004232069,0.0002897618,0.0007960283],"category_scores_gemma":[0.001538387,0.0004833549,0.0003977861,0.0003702133,0.001058126,0.0005612198,0.003584993,0.001806499,0.0001582499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084078,"about_ca_system_score_gemma":0.002173257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04572185,"about_ca_topic_score_gemma":0.01436549,"domain_scores_codex":[0.993792,0.002601252,0.0004356506,0.0009313875,0.001441722,0.0007979837],"domain_scores_gemma":[0.996384,0.0009677685,0.0004839553,0.001117676,0.0005045403,0.0005420665],"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":[0.001661847,0.0009990761,0.05778419,0.0003608003,0.002680654,0.006133731,0.7428459,0.001208419,0.000975394,0.06879028,0.09965734,0.01690235],"study_design_scores_gemma":[0.003038875,0.0001615361,0.133711,0.003218839,0.0009373615,0.00002501148,0.1098191,0.0010233,0.00007259403,0.01542241,0.7293756,0.003194311],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8231792,0.0005386995,0.0001600468,0.005368377,0.001725679,0.0006731303,0.001396676,0.0001723923,0.1667858],"genre_scores_gemma":[0.9755922,0.00384855,0.002128832,0.0004047001,0.002836102,0.000007366768,0.0003764509,0.00005720064,0.01474858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6330268,"threshold_uncertainty_score":0.9997618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517843474213915,"score_gpt":0.2726419779865838,"score_spread":0.2374635432444447,"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."}}