{"id":"W3125034058","doi":"10.3386/w15833","title":"Information, analysts, and stock return comovement","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock (firearms); Business; Financial economics; Economics; Geography","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":[0.002533642,0.0003840874,0.0006221249,0.002540664,0.0003017221,0.002011464,0.0003480664,0.0007079192,0.003420418],"category_scores_gemma":[0.03011317,0.0002133842,0.0003931884,0.002913268,0.0005397885,0.001866073,0.001220709,0.0006626119,0.0004385833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005086358,"about_ca_system_score_gemma":0.0004925602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003626141,"about_ca_topic_score_gemma":0.002640802,"domain_scores_codex":[0.9991778,0.0002505819,0.00007311603,0.0001846731,0.000191214,0.0001227031],"domain_scores_gemma":[0.9700586,0.01854492,0.007723208,0.001722771,0.001027381,0.0009231163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00055425,0.0002773483,0.9439273,0.00006313062,0.0003581932,0.0005330974,0.001292869,0.006900747,0.002648549,0.005367554,0.0009562782,0.03712075],"study_design_scores_gemma":[0.00006724478,0.0002524308,0.9440913,0.00004646622,0.0002806107,0.0003429223,0.001257327,0.03076222,0.002251244,0.01895634,0.001641495,0.00005041567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932248,0.0004647206,0.001912347,0.0003351972,0.0000186678,0.00001168192,0.0002021309,0.0000531545,0.003777175],"genre_scores_gemma":[0.9990538,0.0001253364,0.0002944449,0.00002239373,0.00002271739,0.000003554347,0.000138561,0.000004668315,0.0003345474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003626141,"threshold_uncertainty_score":0.01339936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2055841696170727,"score_gpt":0.4053507553885596,"score_spread":0.1997665857714869,"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."}}