{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005975372,0.0005105257,0.0005279421,0.001228143,0.006875294,0.005722691,0.0006313499,0.001793118,0.1678225],"category_scores_gemma":[0.00205806,0.0002012379,0.0003623608,0.001306988,0.002782389,0.002464843,0.003735541,0.002315647,0.04121763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002465982,"about_ca_system_score_gemma":0.003692339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08591736,"about_ca_topic_score_gemma":0.1892342,"domain_scores_codex":[0.9993396,0.0001212887,0.00001210031,0.0001275639,0.0001766258,0.0002226616],"domain_scores_gemma":[0.9993661,0.0000595749,0.00004204281,0.00008050258,0.0001540121,0.0002977592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000505624,0.00006208781,0.008200227,0.00004420253,0.00001025989,0.0002959722,0.002384898,0.00008666346,0.0001695032,0.1255537,0.7660391,0.0971029],"study_design_scores_gemma":[0.000003007837,0.00001223843,0.003788355,0.00005631963,0.000001901736,0.00006435689,0.001226227,0.00002380876,0.00003359905,0.002480268,0.9923063,0.000003658585],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0149626,0.0030984,0.000518268,0.03174524,0.002403681,0.00004311362,0.00089482,0.0001516732,0.9461822],"genre_scores_gemma":[0.07990549,0.003095428,0.0005786292,0.01356454,0.0004484983,0.00005133216,0.0009097252,0.0002041902,0.9012421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1678225,"threshold_uncertainty_score":0.5614223,"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."}}