{"id":"W6898803136","doi":"10.57912/23864685","title":"AN ECONOMETRIC MODEL OF THE CYCLICAL SENSITIVITY OF OASDI OUTLAYS","year":2023,"lang":"en","type":"dissertation","venue":"American University Research Archive","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Quarter (Canadian coin); Econometric model; Beneficiary; Payment; Point (geometry); Point estimation; Residual","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002315585,0.0001318093,0.000383683,0.0005999503,0.0006235853,0.00001924422,0.0008563048,0.00008058151,0.00003055047],"category_scores_gemma":[0.0008493637,0.0001248331,0.0002446845,0.001884733,0.003363102,0.0001123239,0.0002053244,0.0005011992,0.00001545351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003393058,"about_ca_system_score_gemma":0.001093724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1204332,"about_ca_topic_score_gemma":0.1174152,"domain_scores_codex":[0.9952797,0.00247461,0.0002045673,0.0004220121,0.001122213,0.0004969095],"domain_scores_gemma":[0.9974812,0.001132527,0.0002683405,0.0005415619,0.0003417068,0.0002346724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002312409,0.003133903,0.4450165,0.0008157338,0.0008699005,0.00003863874,0.3632587,0.004898511,0.01242453,0.07885868,0.005860357,0.08251217],"study_design_scores_gemma":[0.000495477,0.000803156,0.4523577,0.0001756882,0.0001289292,1.645674e-7,0.5192471,0.0105118,0.0008297627,0.01368923,0.001204537,0.0005564596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482434,0.000003884106,0.00006459881,0.0001764606,0.00008335478,0.0005230746,0.0003561957,0.00002494758,0.05052408],"genre_scores_gemma":[0.9957253,0.0003705148,0.0001200288,0.000006349139,0.00004242964,0.000001701449,0.0001178092,0.00001593332,0.003599937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1559884,"threshold_uncertainty_score":0.9993492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2325735332056533,"score_gpt":0.4518067643358626,"score_spread":0.2192332311302093,"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."}}