{"id":"W4398341542","doi":"10.7910/dvn/ktwyz6/trr46z","title":"__init__.cpython-36.pyc","year":2020,"lang":"en","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); Finance; Business; Computer science; 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":["insufficient_payload"],"category_scores_codex":[0.001250561,0.001976185,0.001565647,0.003847409,0.0007491501,0.004070515,0.002834596,0.002008919,0.3002354],"category_scores_gemma":[0.008428075,0.0009490321,0.001116164,0.007910087,0.0004570372,0.002176014,0.002901311,0.001719468,0.3573997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161622,"about_ca_system_score_gemma":0.001888886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03094346,"about_ca_topic_score_gemma":0.04044228,"domain_scores_codex":[0.9990987,0.0001674061,0.00008876764,0.0002442322,0.0001895737,0.0002114291],"domain_scores_gemma":[0.9973105,0.0006037026,0.0002671062,0.0006726973,0.0007263573,0.0004194903],"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":[0.00002275797,0.000005154584,0.000289622,0.0002183869,0.000009801159,0.000003597402,0.00001010161,0.0000559084,0.00002256063,0.0003408872,0.9980933,0.0009279866],"study_design_scores_gemma":[0.0001371433,0.00000862184,0.00180521,0.0002206841,0.00001348658,0.00001196942,0.00003918645,0.0001748104,0.0001457935,0.000997202,0.9964254,0.00002040263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002307294,0.0000226695,0.00003047781,0.00004522173,0.00001580271,0.000003882375,0.9986469,0.0003638983,0.0008480523],"genre_scores_gemma":[0.0002491843,0.00004409911,0.0001421841,0.00007307919,0.00001177789,0.00004706137,0.9978718,0.0002766481,0.001284233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6997646,"threshold_uncertainty_score":0.9981293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882980290652707,"score_gpt":0.2245359222844674,"score_spread":0.2057061193779403,"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."}}