{"id":"W6891237517","doi":"10.3886/e154021v1","title":"Data and Code for: How Social Security Reform Affects Retirement and Pension Claiming","year":2023,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Social security; Pension; Retirement age; Context (archaeology); Statutory law; Principal (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":[],"consensus_categories":[],"category_scores_codex":[0.00107389,0.0004703352,0.0004520178,0.002943861,0.0007685492,0.001223873,0.001007254,0.001119209,0.04550943],"category_scores_gemma":[0.01053639,0.000331153,0.0003970072,0.005593608,0.0003050248,0.000792214,0.001238472,0.001469297,0.03041362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234398,"about_ca_system_score_gemma":0.001696632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04509188,"about_ca_topic_score_gemma":0.0511879,"domain_scores_codex":[0.9987459,0.0001911443,0.0001549294,0.0001876159,0.0004944006,0.0002259698],"domain_scores_gemma":[0.9895438,0.002336921,0.002376471,0.001257077,0.003779833,0.000705849],"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":[0.0003582296,0.0001766923,0.05784425,0.0004286499,0.00004457825,0.0001122538,0.0002851184,0.00108499,0.0005664933,0.002842254,0.9195591,0.01669736],"study_design_scores_gemma":[0.0003832178,0.0001208204,0.3749397,0.0003169528,0.00003580105,0.0001984399,0.001006863,0.002120503,0.001424266,0.001847002,0.617521,0.00008526374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01043252,0.00005645211,0.0002048656,0.0004604394,0.00003843302,0.00007758842,0.9839867,0.0001999417,0.00454287],"genre_scores_gemma":[0.02296102,0.00009611264,0.0007145806,0.0002349987,0.00002950873,0.0003699597,0.966571,0.0001182525,0.008904511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04550943,"threshold_uncertainty_score":0.1522442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1699559015319223,"score_gpt":0.37288193843222,"score_spread":0.2029260369002977,"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."}}