{"id":"W7096450188","doi":"","title":"The Status of Women in the Asheville Metropolitan Area, North Carolina","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic, Social, and Health Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Work (physics); Population; Socioeconomic status; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001585938,0.0001055537,0.0003802832,0.00008544679,0.0002712535,0.00001960945,0.0002338416,0.00004586205,0.0001549746],"category_scores_gemma":[0.0001978374,0.00007062031,0.00008076868,0.0001842527,0.0001218201,0.0001279689,0.00005298448,0.0001320552,0.0001148281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009951015,"about_ca_system_score_gemma":0.00003913329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006349423,"about_ca_topic_score_gemma":0.006027672,"domain_scores_codex":[0.9979677,0.00003055976,0.0006013265,0.000138973,0.00002755048,0.001233885],"domain_scores_gemma":[0.9989963,0.0003057235,0.0002542547,0.000284156,0.00001852911,0.0001410151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004893949,0.00003734303,0.6981633,0.00001109237,0.00002373928,5.893423e-8,0.006583781,0.000001064582,3.450864e-8,0.2936431,0.00137228,0.0001592551],"study_design_scores_gemma":[0.0002103771,0.00003730004,0.7982155,0.000001233391,0.00000183821,2.059958e-7,0.01479222,0.0000161759,0.000001001913,0.009448028,0.1771913,0.00008478777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7962782,0.009143879,0.000006106453,0.0007995628,0.0002908724,0.0001795994,0.00005160227,0.000007634262,0.1932425],"genre_scores_gemma":[0.9923186,0.006165587,0.00004739462,0.0005025425,0.0001752114,0.00007207179,0.000002763719,0.000009855868,0.0007060239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2841951,"threshold_uncertainty_score":0.9598471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05214990033244883,"score_gpt":0.2631155979796442,"score_spread":0.2109656976471954,"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."}}