{"id":"W7094722406","doi":"","title":"Staff Report with Final Results: Employees Retirement System of Texas","year":2017,"lang":"en","type":"report","venue":"","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Work (physics); Government (linguistics); Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003759523,0.0008053166,0.0005586011,0.003282874,0.002365128,0.004290226,0.001487689,0.00145799,0.1521733],"category_scores_gemma":[0.01189706,0.0005198761,0.0006295825,0.00325312,0.0002760297,0.001768426,0.002312378,0.002416343,0.134971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00335367,"about_ca_system_score_gemma":0.01727115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08435655,"about_ca_topic_score_gemma":0.07066591,"domain_scores_codex":[0.9967781,0.0002416235,0.0002745973,0.0002086856,0.001881255,0.000615793],"domain_scores_gemma":[0.9872721,0.0009192036,0.000617447,0.0006493427,0.00953664,0.001005423],"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":[0.00004002285,0.00003920572,0.001526565,0.00004494516,0.000003061846,0.000009940571,0.00004632064,0.00004851784,0.00003408741,0.0003885338,0.9936863,0.004132656],"study_design_scores_gemma":[0.0001160998,0.00009296029,0.05352105,0.0003041198,0.00002342592,0.00003019954,0.001345867,0.0002861159,0.0008690394,0.0004661554,0.9428951,0.00004979095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01073831,0.000441141,0.0009549537,0.00963766,0.007512077,0.002171029,0.7700261,0.001604566,0.1969142],"genre_scores_gemma":[0.02077167,0.001006031,0.002006184,0.002146353,0.001229138,0.004774543,0.4049945,0.0009210925,0.5621505],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1521733,"threshold_uncertainty_score":0.5090704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2009840367382365,"score_gpt":0.3254330473093598,"score_spread":0.1244490105711233,"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."}}