{"id":"W2942311166","doi":"10.5430/ijfr.v10n2p147","title":"Trading the Dream: Does Social Media Affect Investors’ Activity - The Story of Twitter, Telegram and Reddit","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Social media; Affect (linguistics); Volume (thermodynamics); Dream; Business; Skepticism; Advertising; Internet privacy; Tracking (education); Monetary economics; Economics; Computer science; Computer security; World Wide Web; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00398207,0.00006836492,0.0001426897,0.0002324373,0.0002587488,0.00007593338,0.001853878,0.00009324804,0.0000108077],"category_scores_gemma":[0.0009372761,0.00003614887,0.00007912881,0.0003269649,0.000463458,0.000197241,0.0003176826,0.001134821,0.000002935121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008262762,"about_ca_system_score_gemma":0.00027736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003250901,"about_ca_topic_score_gemma":0.00004439118,"domain_scores_codex":[0.9982367,0.0003636874,0.0001995035,0.000139634,0.0008899005,0.0001706291],"domain_scores_gemma":[0.9973249,0.001664171,0.0002189146,0.0002183528,0.0005383209,0.0000353086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001250577,0.0002229698,0.004077638,0.00001496868,0.0000899996,0.00002417101,0.01057159,0.000003189077,0.01323185,0.3026398,0.009832987,0.6591657],"study_design_scores_gemma":[0.001408124,0.0004732074,0.7760417,0.0001293557,0.00001567938,0.0002048039,0.0006045072,0.003699953,0.02534062,0.1467637,0.04506642,0.000251846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788734,0.0001535735,0.002164074,0.01791906,0.0005602299,0.0001293262,0.000004071163,0.000007849902,0.0001884431],"genre_scores_gemma":[0.999113,0.00007243554,0.0003240282,0.00007177562,0.000362978,0.000007738192,1.979076e-7,0.000003787196,0.00004405466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7719641,"threshold_uncertainty_score":0.4930296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04814687935239827,"score_gpt":0.3493145763363477,"score_spread":0.3011676969839495,"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."}}