{"id":"W3013122213","doi":"10.2139/ssrn.2427567","title":"Does Competition between Stars Increase Output? Evidence from Financial Analyst Forecasts","year":2019,"lang":"en","type":"article","venue":"OpenBU (Boston University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Earnings; Competition (biology); Tournament; Star (game theory); Cover (algebra); Economics; Business; Finance; Financial economics","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":[0.001665718,0.0001954437,0.0003601421,0.0008855214,0.0005546977,0.001959142,0.0003994234,0.001102239,0.009131538],"category_scores_gemma":[0.02088646,0.000181424,0.0003237255,0.0008725013,0.0005497233,0.001002996,0.0008166287,0.000595262,0.0008832062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459849,"about_ca_system_score_gemma":0.0004235921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009224332,"about_ca_topic_score_gemma":0.00956335,"domain_scores_codex":[0.9991335,0.0002362364,0.00006443173,0.0002010421,0.0002132283,0.0001515815],"domain_scores_gemma":[0.9374483,0.03453502,0.01839599,0.00148378,0.002127413,0.006009403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005153891,0.0001514002,0.9843574,0.00003580926,0.00007892254,0.0001219411,0.0002538907,0.0004586881,0.0004949374,0.0006496197,0.0009154678,0.01196648],"study_design_scores_gemma":[0.0000428054,0.0001990096,0.9950904,0.00001513844,0.00004501476,0.00005859649,0.0004451513,0.001643571,0.0003060753,0.001033994,0.001111024,0.000009133023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915943,0.0003312069,0.00021526,0.0009102013,0.00001305499,0.000005774252,0.000302235,0.000009837821,0.00661821],"genre_scores_gemma":[0.9990323,0.0001073775,0.00006020853,0.00007780499,0.0000256375,0.000001228075,0.0001832842,0.000002975365,0.0005092872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009224332,"threshold_uncertainty_score":0.0305481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113338671860461,"score_gpt":0.1930489317059579,"score_spread":0.1619155449873533,"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."}}