{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001352725,0.0002328997,0.0004121636,0.0006642513,0.0003831311,0.002753949,0.0002653826,0.001275664,0.006922649],"category_scores_gemma":[0.0181048,0.0002757254,0.0004147571,0.0005627241,0.0005553254,0.0009755614,0.0005904794,0.001245128,0.0006738324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116338,"about_ca_system_score_gemma":0.000252086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004101117,"about_ca_topic_score_gemma":0.004983355,"domain_scores_codex":[0.9996061,0.0001580368,0.00002998609,0.0000561519,0.00004654029,0.0001030859],"domain_scores_gemma":[0.9699908,0.02312138,0.003701044,0.0006123576,0.0006534422,0.001920901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008087134,0.001820461,0.9465775,0.0001154409,0.0007906442,0.0009341772,0.00056332,0.005188221,0.005469834,0.002967146,0.0028072,0.02467886],"study_design_scores_gemma":[0.0001416754,0.0004449256,0.9891019,0.00001547736,0.000299636,0.00009978552,0.0005066358,0.00642569,0.0005355743,0.001831433,0.0005727919,0.00002443319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967237,0.0002445547,0.00009277628,0.0005311569,0.00003893414,0.000003148681,0.0001888268,0.000005580646,0.002171341],"genre_scores_gemma":[0.9990667,0.0001319422,0.0000222221,0.00005720503,0.00006524104,0.000001315182,0.0000941261,0.000003262014,0.0005579564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006922649,"threshold_uncertainty_score":0.02315861,"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."}}