{"id":"W3190202976","doi":"10.2139/ssrn.3874756","title":"Market Feedback: Evidence from the Horse’s Mouth","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Horse; Business; Medicine; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001823409,0.0001664946,0.0002776233,0.00004686567,0.0003310952,0.000277311,0.0004294114,0.00008313404,0.001286223],"category_scores_gemma":[0.0004409269,0.0001373072,0.0001834602,0.0002378226,0.0000723228,0.0004497448,0.00007392065,0.001167555,0.0002810011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004457701,"about_ca_system_score_gemma":0.0009802375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005511707,"about_ca_topic_score_gemma":0.001006567,"domain_scores_codex":[0.9976696,0.00006663798,0.0004876835,0.0003214274,0.00007325302,0.001381446],"domain_scores_gemma":[0.9990808,0.000158334,0.0003023301,0.0003387473,0.0000563917,0.00006341979],"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":[0.00004966531,0.000048389,0.02657842,0.000003810879,0.0001683367,0.00001122909,0.0002957619,0.000009053849,0.00003907896,0.9587488,0.009187412,0.004860033],"study_design_scores_gemma":[0.0003491574,0.00007478829,0.09121055,0.00004982319,0.00001526879,0.000068198,0.001302042,0.0001125083,0.0000371181,0.8680268,0.03853099,0.0002227259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7043575,0.1922845,0.003879981,0.01923413,0.001819543,0.0002161215,0.000103694,0.00005205844,0.07805245],"genre_scores_gemma":[0.9438567,0.04422281,0.000150151,0.0007924919,0.0007033431,0.000006779277,0.000006022158,0.00002438084,0.01023736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2394992,"threshold_uncertainty_score":0.9996268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502223985678759,"score_gpt":0.212762605252341,"score_spread":0.1877403653955534,"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."}}