{"id":"W6920496031","doi":"10.6077/rg5m-hz12","title":"UBS / Gallup Investor Optimism Index, 1996-2003","year":2003,"lang":"en","type":"dataset","venue":"CISER Data & Reproduction Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optimism; Data collection; Spouse; Investment (military); Public opinion; Center (category theory); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008788535,0.00115921,0.0008229107,0.004261143,0.0004620214,0.002069317,0.001592009,0.0007126399,0.02922867],"category_scores_gemma":[0.004299739,0.0004672173,0.0005363401,0.007840172,0.0001632059,0.001017153,0.00100848,0.001319177,0.04701731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00260218,"about_ca_system_score_gemma":0.001749728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1101239,"about_ca_topic_score_gemma":0.1158045,"domain_scores_codex":[0.9993617,0.00006422,0.00008924297,0.0001240149,0.0002451119,0.0001157736],"domain_scores_gemma":[0.9976817,0.0002216736,0.0004406661,0.0003428211,0.001145905,0.0001672096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003037712,0.00001422786,0.003183387,0.00007189657,0.00001036598,0.00001017935,0.00002039048,0.0001600415,0.00001794207,0.0002556219,0.9937676,0.002457928],"study_design_scores_gemma":[0.0001788211,0.00002540672,0.07738995,0.0001683781,0.00004249188,0.00007517124,0.0003501047,0.001215713,0.0006939107,0.0007727786,0.9190502,0.0000369758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005877416,0.00002845259,0.00003134729,0.00006885052,0.00001638679,0.000007607148,0.9982417,0.0001020446,0.000916009],"genre_scores_gemma":[0.001582231,0.00004495224,0.0001434354,0.00002285864,0.00001066987,0.00006013147,0.9953519,0.00004035408,0.002743442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1101239,"threshold_uncertainty_score":0.2189658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05958177351243123,"score_gpt":0.3002560595639654,"score_spread":0.2406742860515342,"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."}}