{"id":"W4398548611","doi":"10.7910/dvn/ktwyz6/gudz0y","title":"SFS-13M0006-E-2016_F1.tab","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; Computer science; Economics; Computer security; Mathematics; Statistics","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":[0.001226133,0.002525569,0.001758062,0.004819522,0.0007983917,0.004059696,0.002797166,0.002446381,0.2735651],"category_scores_gemma":[0.008913195,0.001017651,0.001268978,0.009943059,0.0004870718,0.002180047,0.002706839,0.001843688,0.3439197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806818,"about_ca_system_score_gemma":0.002313473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03131983,"about_ca_topic_score_gemma":0.04013053,"domain_scores_codex":[0.9988096,0.0001771649,0.0001511041,0.0003390274,0.0002645311,0.0002585911],"domain_scores_gemma":[0.9969772,0.0007334549,0.0003721431,0.0006254928,0.000876361,0.0004153594],"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":[0.00002583488,0.000006420149,0.000326166,0.0003060419,0.00001279091,0.000004548028,0.00001122271,0.00007558629,0.00003080922,0.0003454997,0.9979715,0.0008835854],"study_design_scores_gemma":[0.0002150453,0.0000137844,0.002765295,0.0003392997,0.00002001328,0.00002291444,0.00005786774,0.0001927955,0.0001779917,0.001194515,0.9949739,0.00002658916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002150829,0.00002223968,0.000017607,0.00003269321,0.00001234481,0.000002288972,0.99931,0.0001743464,0.0004069104],"genre_scores_gemma":[0.0001794237,0.00004146336,0.00009532466,0.00004256739,0.000009668458,0.00002913533,0.9986854,0.0001110598,0.0008059677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7264349,"threshold_uncertainty_score":0.9151665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549948759287851,"score_gpt":0.216839246244613,"score_spread":0.2013397586517345,"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."}}