{"id":"W4409329277","doi":"10.2139/ssrn.5187350","title":"Market Signals from Social Media","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Business; Advertising; Computer science; 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":[0.001157727,0.0003197543,0.0003693489,0.001578803,0.0004300645,0.003070662,0.0003390751,0.001375021,0.01232606],"category_scores_gemma":[0.01980019,0.0003394162,0.0002888269,0.001349725,0.0005362707,0.003639837,0.0009259524,0.001244802,0.00167051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005743998,"about_ca_system_score_gemma":0.0001864712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209362,"about_ca_topic_score_gemma":0.001521474,"domain_scores_codex":[0.9994523,0.0001852324,0.00002089881,0.0001035921,0.0001694694,0.00006863372],"domain_scores_gemma":[0.9856549,0.01064179,0.00201417,0.0005323683,0.00081026,0.0003465429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002100646,0.0007807458,0.1552462,0.000867028,0.0006228802,0.001804851,0.003690501,0.04202815,0.0216059,0.4243324,0.07531507,0.2716056],"study_design_scores_gemma":[0.0002541084,0.0004558783,0.2127731,0.0001748119,0.0003730925,0.0006079185,0.002529511,0.3782373,0.005911863,0.3598926,0.03857572,0.0002140517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704901,0.001372656,0.01910171,0.0101347,0.0003696925,0.00006967806,0.003117865,0.0002821735,0.0950614],"genre_scores_gemma":[0.9950327,0.0002893268,0.0005090137,0.0001736801,0.0002584171,0.00001467778,0.0002577395,0.00001752552,0.003446903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01232606,"threshold_uncertainty_score":0.04123479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009518593199198898,"score_gpt":0.2703122924192764,"score_spread":0.2607936992200775,"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."}}