{"id":"W1984430235","doi":"10.1016/j.ins.2014.03.096","title":"The effect of news and public mood on stock movements","year":2014,"lang":"en","type":"article","venue":"Information Sciences","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":257,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Stock (firearms); Mood; Business; Information sharing; Affect (linguistics); Stock market; Computer science; Psychology; 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":[0.0009158203,0.00004587151,0.00008760393,0.00008969037,0.0002244,0.0002157789,0.0001405204,0.00001743798,0.00001369198],"category_scores_gemma":[0.0002790288,0.00002926242,0.00001778591,0.0001457728,0.0001612755,0.0009658441,0.00002253136,0.0000253041,0.00004609501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007241481,"about_ca_system_score_gemma":0.000006639958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009079544,"about_ca_topic_score_gemma":0.00001169477,"domain_scores_codex":[0.9995177,0.00001084161,0.0002614541,0.00005907232,0.00004800933,0.0001029627],"domain_scores_gemma":[0.9995549,0.0001066714,0.0002255944,0.00008161755,0.00001104891,0.00002017518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006079437,0.000003312215,0.07696385,0.00001049909,0.000002997919,2.853262e-9,0.0001385051,0.00002640899,0.000001072037,0.8902227,0.0004730565,0.03215157],"study_design_scores_gemma":[0.001096606,0.002825414,0.4826772,0.00002554281,0.000001875231,5.402211e-7,0.0005200837,0.02239795,0.0004076157,0.1044583,0.3853276,0.000261194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7237298,0.00005582359,0.000307645,0.0006129287,0.0001882487,0.0001111467,0.000006192507,0.000007015062,0.2749812],"genre_scores_gemma":[0.9996017,0.00005017601,0.0000275162,0.0002452843,0.00001126868,0.000008988924,9.850407e-7,7.87395e-7,0.00005325439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7857643,"threshold_uncertainty_score":0.2080761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513233456782558,"score_gpt":0.2268805810505208,"score_spread":0.2017482464826952,"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."}}