{"id":"W4398625914","doi":"10.7910/dvn/ktwyz6/57rhfw","title":"popweightsCensus2016.tab","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; Economics; Computer science; Computer security","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":[0.001016709,0.001902958,0.001639396,0.005414819,0.000719652,0.004108595,0.002820182,0.001528727,0.2778335],"category_scores_gemma":[0.007548788,0.001117685,0.001092558,0.01247093,0.0004014581,0.002013879,0.002622507,0.001707269,0.2866519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358783,"about_ca_system_score_gemma":0.002281675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03540601,"about_ca_topic_score_gemma":0.04642989,"domain_scores_codex":[0.9991847,0.0001188292,0.0001014696,0.0002156111,0.0002042041,0.0001752445],"domain_scores_gemma":[0.9977986,0.0006109246,0.0002353305,0.0004404328,0.0005984587,0.0003162709],"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":[0.00001512649,0.000003707407,0.0001742406,0.0001818336,0.000009197955,0.000004099837,0.000008327215,0.00005181328,0.00001244461,0.0002432493,0.9983407,0.0009551722],"study_design_scores_gemma":[0.0001375708,0.000006769031,0.001715685,0.0002187634,0.00001838575,0.00001561676,0.00004796029,0.0001381096,0.0001075406,0.001244327,0.9963294,0.00001989149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002628187,0.00002240469,0.00002191643,0.00003807269,0.00001755455,0.000003285006,0.9988845,0.0002330894,0.0007529135],"genre_scores_gemma":[0.0002531513,0.00005275345,0.0001100097,0.00005662442,0.00001299537,0.00005421319,0.9976299,0.0002381582,0.001592214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7221665,"threshold_uncertainty_score":0.9294456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160909283069228,"score_gpt":0.2156162132658097,"score_spread":0.1995252849588869,"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."}}