{"id":"W7075745939","doi":"","title":"Mothering, Mixed Families and Racialised Boundaries","year":2014,"lang":"en","type":"article","venue":"View","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Race (biology); Inclusion (mineral); Mixed race; Population; Globalization; White (mutation); Ethnic group","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":[0.0008046627,0.0002692606,0.0003777641,0.0007984107,0.003516253,0.002767918,0.0004407938,0.0006401019,0.004213191],"category_scores_gemma":[0.002134857,0.0001245922,0.000162281,0.0009198157,0.004785437,0.002225745,0.002313638,0.0009247794,0.0002239705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404932,"about_ca_system_score_gemma":0.000863886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842159,"about_ca_topic_score_gemma":0.01341845,"domain_scores_codex":[0.9994395,0.0003288744,0.00001242281,0.00003454701,0.00007833266,0.0001063549],"domain_scores_gemma":[0.9991167,0.0006379778,0.0001069299,0.00002933358,0.00003303628,0.00007599355],"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":[0.00005951959,0.00004370544,0.01874655,0.0003334631,0.00002758902,0.001699364,0.3178399,0.0002577326,0.0002657844,0.5208089,0.02690165,0.1130159],"study_design_scores_gemma":[0.000004762434,0.00006839047,0.03159819,0.001073318,0.00002652928,0.001703471,0.2267653,0.0002187788,0.0001974184,0.1003037,0.638015,0.00002520736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4274934,0.1567974,0.005880422,0.04687632,0.003226154,0.00003468192,0.00011043,0.00003206079,0.3595493],"genre_scores_gemma":[0.9094043,0.06051284,0.001180416,0.002312786,0.001266456,0.00002691893,0.00004162261,0.00002852627,0.02522627],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004842159,"threshold_uncertainty_score":0.01409453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621773779166385,"score_gpt":0.1970665994214439,"score_spread":0.17084886162978,"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."}}