{"id":"W7014317397","doi":"","title":"Optional Retirement Program (State ORP) participant summary report 1st quarter 2023","year":2023,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Vendor; State (computer science); Retirement planning; Investment analysis","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0006182207,0.001310625,0.001255856,0.002208202,0.002303278,0.004721041,0.001404895,0.0002178984,0.0011011],"category_scores_gemma":[0.0002005248,0.00110254,0.001088001,0.01218503,0.0005951604,0.01199078,0.001782235,0.0009286978,0.002563283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009474378,"about_ca_system_score_gemma":0.00054217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002059076,"about_ca_topic_score_gemma":0.00002683589,"domain_scores_codex":[0.9914569,0.0001841068,0.002495939,0.00185365,0.001727662,0.002281759],"domain_scores_gemma":[0.9959446,0.0002490258,0.001396857,0.001792288,0.0003355722,0.0002816108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001776636,0.0007424766,0.5104479,0.0005817898,0.0007063123,0.002421184,0.004396887,0.005709433,0.00003775042,0.001599667,0.4702263,0.001353738],"study_design_scores_gemma":[0.004374268,0.0006803967,0.262307,0.0006374543,0.001259443,0.00007894613,0.00309881,0.02850523,0.0002640178,0.05485025,0.6393337,0.004610525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303975,0.0002350594,0.00009081261,0.00396705,0.001936285,0.003782237,0.002762529,0.005356245,0.05147227],"genre_scores_gemma":[0.8360438,0.0001037964,0.000247288,0.001534627,0.001555431,0.0008797182,0.00630753,0.0004470373,0.1528807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2481409,"threshold_uncertainty_score":0.9999645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238637197464065,"score_gpt":0.2283397697419095,"score_spread":0.2059533977672689,"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."}}