{"id":"W6891342005","doi":"10.3886/e208750","title":"Replication Files for Pensions and household structure: Pennsylvania Railroad retirees in 1900, 1910, and 1920","year":2024,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Health and Retirement Study; Marital status; Standard of living; Quarter (Canadian coin); Census; Household income","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001391359,0.0009362315,0.00102299,0.0008993998,0.000271463,0.0008551803,0.002055249,0.0007857878,0.0001312606],"category_scores_gemma":[0.00253836,0.0009155935,0.00007613072,0.0007540806,0.0004796078,0.001024731,0.003349431,0.001148566,0.0003230556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549163,"about_ca_system_score_gemma":0.0001675633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139449,"about_ca_topic_score_gemma":0.006359469,"domain_scores_codex":[0.9939638,0.0001123498,0.0009508751,0.003611416,0.0005974601,0.0007640758],"domain_scores_gemma":[0.991007,0.0005889893,0.0005802815,0.007435906,0.00009239175,0.0002954088],"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":[0.0001154062,0.00004416692,0.0001230491,0.0008774452,0.000087247,0.00004683239,0.00006512957,0.000001326698,0.002930505,0.00008875632,0.9947291,0.0008910458],"study_design_scores_gemma":[0.0008817978,0.00009050527,0.002091935,0.0008649534,0.0005874319,0.0001988154,0.00006435707,0.0002905258,0.0001399859,0.001026736,0.9927925,0.0009703818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01871104,0.005332846,0.000001474922,0.0003946558,0.0004384712,0.001896373,0.9729532,0.0002646055,0.000007317255],"genre_scores_gemma":[0.002610611,0.002910566,0.001240458,0.0002474503,0.0004467125,0.0001758978,0.9919677,0.000318939,0.00008166819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01901448,"threshold_uncertainty_score":0.9993294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07317114482620535,"score_gpt":0.3260981098822281,"score_spread":0.2529269650560228,"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."}}