{"id":"W4411132318","doi":"10.54254/2754-1169/2024.23652","title":"Research on Investor Sentiment in Different Periods","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Psychology; Business","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":[0.008735522,0.000149542,0.0002948074,0.001544711,0.0002344312,0.0003544468,0.000842667,0.00004705137,0.00006273315],"category_scores_gemma":[0.0009287515,0.0001084715,0.00004127074,0.001221261,0.001074378,0.00040129,0.0006293941,0.0002141933,0.00002207318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443882,"about_ca_system_score_gemma":0.00003840611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004271596,"about_ca_topic_score_gemma":0.0002885211,"domain_scores_codex":[0.9968041,0.0005360391,0.0005999319,0.0008197968,0.0004690727,0.0007710609],"domain_scores_gemma":[0.9952672,0.004190353,0.00006072826,0.0003243387,0.00002913465,0.0001282171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002136892,0.00005381792,0.1116346,0.000008539068,0.000002349413,0.000002791894,0.00004380387,0.0004073148,4.484703e-7,0.7806628,0.0001108704,0.1070513],"study_design_scores_gemma":[0.0003082592,0.0001025252,0.1892176,0.00006777542,0.000001995733,4.455053e-7,0.002041634,0.006528454,0.00004343584,0.757814,0.0437509,0.0001229265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6149077,0.000270641,0.0002288327,0.003065794,0.0004711444,0.0002374476,0.00000161577,0.00000840008,0.3808084],"genre_scores_gemma":[0.9924888,0.0003933702,0.002928372,0.000715363,0.00004159873,0.00005265914,3.286114e-7,0.000003733072,0.003375797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3775811,"threshold_uncertainty_score":0.4423341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15901349241642,"score_gpt":0.4972794600998633,"score_spread":0.3382659676834434,"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."}}