{"id":"W4386193646","doi":"10.2139/ssrn.4552636","title":"Information Transparency and Stock Sentiment Beta","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Transparency (behavior); BETA (programming language); Stock (firearms); Business; Accounting; Computer science; Geography; Computer security; Programming language","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":[0.002859624,0.0002244035,0.0003939853,0.0008924731,0.0002962061,0.00258755,0.000174818,0.0008910389,0.003959889],"category_scores_gemma":[0.03980943,0.0002654896,0.0002602698,0.0009752078,0.0007463924,0.002902895,0.0006417735,0.001392235,0.0003174225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000784139,"about_ca_system_score_gemma":0.0004179209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011437,"about_ca_topic_score_gemma":0.000752313,"domain_scores_codex":[0.9993143,0.0002501069,0.0000532398,0.00008706569,0.0001892851,0.0001059796],"domain_scores_gemma":[0.9436137,0.04105002,0.01093976,0.001392595,0.002160481,0.0008434352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003119913,0.000503018,0.357188,0.0004844485,0.0004397626,0.001604901,0.001928873,0.05634961,0.009381206,0.3999545,0.01246569,0.1565801],"study_design_scores_gemma":[0.0001087642,0.0003965095,0.2541168,0.000190719,0.0002906899,0.0005815156,0.000731599,0.2285213,0.004550749,0.5070554,0.003354392,0.000101671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429078,0.002324772,0.02233462,0.00538722,0.0001558356,0.00001737911,0.0004424778,0.00007815018,0.02635182],"genre_scores_gemma":[0.9982471,0.000257894,0.0003485653,0.00005111843,0.00007710493,0.000002242898,0.00003211923,0.000005237952,0.0009785568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003959889,"threshold_uncertainty_score":0.01512331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09477217886319259,"score_gpt":0.3742757973894087,"score_spread":0.2795036185262162,"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."}}