{"id":"W2098091184","doi":"10.3386/w15284","title":"The Rug Rat Race","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Race (biology); Demography; Biology; Sociology; Botany","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":[0.01606817,0.0001544973,0.0003193168,0.0003249313,0.001171747,0.0002181803,0.001087182,0.0004576811,0.0001941902],"category_scores_gemma":[0.0029579,0.000130233,0.0001852906,0.0002756467,0.0008676175,0.000133266,0.0001094285,0.0008138378,0.0001783593],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002726793,"about_ca_system_score_gemma":0.01587683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006052225,"about_ca_topic_score_gemma":0.007405699,"domain_scores_codex":[0.9951012,0.0005125788,0.0005499011,0.0003915748,0.002844124,0.000600592],"domain_scores_gemma":[0.9944475,0.002188816,0.0002773585,0.0003243366,0.002619036,0.0001429137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001463172,0.00003518539,0.0009456425,0.00001793661,0.00006554056,0.000001801425,0.0006985646,0.0001098258,0.00000602733,0.6491562,0.3454154,0.003533333],"study_design_scores_gemma":[0.0001269448,0.00002966784,0.001783165,0.00002359833,0.000006464218,0.000001654149,0.00162053,0.00008365133,0.0000032388,0.3199323,0.6762544,0.0001343706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001647296,0.002189339,0.000003133857,0.00404586,0.001481846,0.0004903077,0.00004406596,0.00001863757,0.9900795],"genre_scores_gemma":[0.476149,0.07208295,0.0001999789,0.0001157282,0.006503103,0.0001071976,0.0003805532,0.00006374565,0.4443977],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5456818,"threshold_uncertainty_score":0.9897022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2799173165428289,"score_gpt":0.5202729776746507,"score_spread":0.2403556611318219,"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."}}