{"id":"W4398273667","doi":"10.7910/dvn/ktwyz6/pmpn1n","title":"pumf-98M0001-E-2016-individuals_F1.dta","year":2020,"lang":"de","type":"dataset","venue":"Harvard Dataverse","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Replication (statistics); Asset (computer security); Business; Finance; Economics; Actuarial science; Public economics; Computer science; Statistics; Computer security; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001124798,0.002216286,0.001484753,0.003783721,0.0008266467,0.003335545,0.002788084,0.002427297,0.1964337],"category_scores_gemma":[0.007721748,0.0009524171,0.001177697,0.007034161,0.0004323264,0.00203587,0.002566705,0.001808526,0.2787837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164781,"about_ca_system_score_gemma":0.00211197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03216261,"about_ca_topic_score_gemma":0.04470875,"domain_scores_codex":[0.999014,0.0001572831,0.000109232,0.0002872955,0.0002081462,0.0002240233],"domain_scores_gemma":[0.9976914,0.0004729709,0.0002668504,0.0005541738,0.0006643734,0.0003501946],"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":[0.00002757253,0.000006511634,0.0003021574,0.0002173796,0.00001138318,0.000004696179,0.000009932969,0.00006896721,0.00002984371,0.0003037531,0.9981376,0.000880361],"study_design_scores_gemma":[0.00017627,0.00001345843,0.002578244,0.0002365541,0.00001798859,0.00002392584,0.00005302715,0.0002493142,0.0001851237,0.001007322,0.9954358,0.00002301944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003317546,0.00002360385,0.00002303951,0.00004499346,0.00001510547,0.000003052519,0.9991523,0.0002476881,0.000457083],"genre_scores_gemma":[0.0002193321,0.00003714901,0.0001231302,0.00005049384,0.000009032943,0.00003345255,0.9984919,0.000110225,0.0009253713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8035663,"threshold_uncertainty_score":0.6571361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766824642226741,"score_gpt":0.2213171194822919,"score_spread":0.2036488730600245,"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."}}