{"id":"W4398283396","doi":"10.7910/dvn/ktwyz6/arhzpg","title":"README.txt","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); Business; Finance; Computer science; Actuarial 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":[],"category_scores_codex":[0.001166073,0.002411608,0.001795176,0.004203284,0.0007539145,0.004946434,0.002848524,0.002021109,0.3607593],"category_scores_gemma":[0.008162488,0.001047651,0.001280275,0.00883649,0.0004621454,0.003125181,0.003167206,0.002112983,0.4658815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364031,"about_ca_system_score_gemma":0.001543177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935572,"about_ca_topic_score_gemma":0.02996429,"domain_scores_codex":[0.9989486,0.0001853143,0.0001278635,0.0003411367,0.0001787041,0.0002182843],"domain_scores_gemma":[0.9969542,0.0008160397,0.0002936049,0.0008513525,0.00072959,0.0003552385],"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":[0.00002317344,0.000006541358,0.0002101064,0.0002018351,0.000009263124,0.000004214615,0.00001153866,0.00004934769,0.00001968848,0.0002539667,0.9981791,0.001031269],"study_design_scores_gemma":[0.000120411,0.00001164835,0.001642493,0.0002227944,0.00001221118,0.00001479702,0.00005651706,0.0001460621,0.000131642,0.001169563,0.9964546,0.00001724298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002262009,0.00002088139,0.00002374787,0.00004682746,0.00001837583,0.000003953025,0.9985079,0.0004264838,0.0009291166],"genre_scores_gemma":[0.0002232022,0.00004560979,0.0001130326,0.00006794484,0.00001776085,0.00004281466,0.9977937,0.0002523235,0.001443709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6392407,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805191130200761,"score_gpt":0.2206333048375198,"score_spread":0.2025813935355122,"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."}}