{"id":"W2017055324","doi":"10.2139/ssrn.1410199","title":"Do Analysts' Notes Provide New Information?","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Accounting; Data science; Computer science","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":[0.01161836,0.0003230494,0.0004778994,0.004137415,0.0008331224,0.00914611,0.000968629,0.003092231,0.02199687],"category_scores_gemma":[0.1071896,0.0004116297,0.0002329428,0.004581617,0.002446719,0.01741035,0.001291276,0.002105443,0.009434146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475165,"about_ca_system_score_gemma":0.002220833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002747889,"about_ca_topic_score_gemma":0.005494155,"domain_scores_codex":[0.9953511,0.001342111,0.0003904303,0.0004426096,0.002021495,0.0004522407],"domain_scores_gemma":[0.9008964,0.0450573,0.02342943,0.009250483,0.01797983,0.003386564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000949872,0.0002305156,0.1196532,0.00046446,0.00015857,0.0007170814,0.004737668,0.0002589958,0.001690299,0.1270124,0.223036,0.5210909],"study_design_scores_gemma":[0.0002643151,0.0001757212,0.1241428,0.001298228,0.0003098476,0.001175193,0.0167562,0.001709031,0.004498725,0.1816984,0.6678124,0.0001591597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1915687,0.02703932,0.008858961,0.4551088,0.01398275,0.00005260301,0.003941848,0.0004667418,0.2989803],"genre_scores_gemma":[0.902801,0.02409879,0.003035249,0.01670684,0.01241529,0.00003943172,0.001477548,0.0002385226,0.03918726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02199687,"threshold_uncertainty_score":0.07358682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005168849617039068,"score_gpt":0.209366709280553,"score_spread":0.204197859663514,"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."}}