{"id":"W4256009108","doi":"10.2139/ssrn.2023906","title":"Are Analysts Really Too Optimistic?","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; HEC Montréal","funders":"","keywords":"Computer science; Business; 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":[0.02853733,0.0007223258,0.0007411484,0.00329033,0.002712327,0.0125406,0.001543922,0.005014198,0.01050945],"category_scores_gemma":[0.2844372,0.0006690603,0.0004678137,0.002124344,0.00565107,0.01275545,0.002593229,0.008652673,0.004553846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003462018,"about_ca_system_score_gemma":0.005360392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003449966,"about_ca_topic_score_gemma":0.004697153,"domain_scores_codex":[0.9735806,0.01211212,0.0009058542,0.00141022,0.009903221,0.00208792],"domain_scores_gemma":[0.7696145,0.1540158,0.02576724,0.00681392,0.03305805,0.01073049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001262414,0.0002439656,0.0616739,0.000761887,0.0007541966,0.001351301,0.01745293,0.001217648,0.001059974,0.1226757,0.5284524,0.2630937],"study_design_scores_gemma":[0.0003000403,0.0002088846,0.02293101,0.002158007,0.0004550026,0.00182262,0.05327994,0.00400153,0.002639289,0.6908877,0.2209291,0.0003869446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07852995,0.008645364,0.009814959,0.78852,0.006626364,0.00005474903,0.0005037931,0.0003358597,0.1069691],"genre_scores_gemma":[0.8651397,0.005065326,0.002975631,0.1168226,0.003285853,0.00008695134,0.0002136631,0.0002029774,0.00620738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02853733,"threshold_uncertainty_score":0.1509216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062889816325455,"score_gpt":0.3904700265094091,"score_spread":0.2841810448768636,"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."}}