{"id":"W2157067759","doi":"10.1609/icwsm.v6i1.14323","title":"Weblog Analysis for Predicting Correlations in Stock Price Evolutions","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cluster analysis; Portfolio; Pairwise comparison; Stock (firearms); Computer science; Stock price; Data mining; Econometrics; Financial economics; Economics; Artificial intelligence; Engineering","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":[0.001271595,0.0006023478,0.0005565247,0.007099016,0.0002437466,0.000719794,0.0004342508,0.0007238197,0.001271147],"category_scores_gemma":[0.007952122,0.0002165308,0.0004366944,0.003339663,0.0001779172,0.0009742002,0.0003506239,0.0005118162,0.0006365797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005504825,"about_ca_system_score_gemma":0.0003818894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006294431,"about_ca_topic_score_gemma":0.008928971,"domain_scores_codex":[0.9994399,0.0001563612,0.00004736035,0.0001006925,0.0002143999,0.000041209],"domain_scores_gemma":[0.9940552,0.003604042,0.001021536,0.0003997474,0.0006056619,0.0003137815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000742571,0.001337123,0.6139653,0.0002553742,0.0005003786,0.000700072,0.000196589,0.1589263,0.007712417,0.002664895,0.005986901,0.2070121],"study_design_scores_gemma":[0.00002180657,0.0001149061,0.1102152,0.00001885445,0.00003230094,0.000139042,0.00006187888,0.8848835,0.001503373,0.002294864,0.0006957927,0.00001850975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288099,0.0006503368,0.06145968,0.0002746953,0.0000520711,0.0002003638,0.004808862,0.001489703,0.002254383],"genre_scores_gemma":[0.9729835,0.0001907587,0.02365061,0.00003413933,0.00006624049,0.00009886554,0.002547603,0.0000288799,0.0003993148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007099016,"threshold_uncertainty_score":0.0125156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05343697871605511,"score_gpt":0.2425946539317781,"score_spread":0.189157675215723,"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."}}