{"id":"W3045999333","doi":"10.1177/2332649220940346","title":"The Role of Skin Color in Latino Social Networks: Color Homophily in Sending and Receiving Societies","year":2020,"lang":"en","type":"article","venue":"Sociology of Race and Ethnicity","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of British Columbia; Harvard University; National Science Foundation","keywords":"Homophily; Ethnic group; Color line; Racialization; Skin color; Context (archaeology); Immigration; Diversity (politics); People of color; White (mutation); Social network (sociolinguistics); Social psychology; Psychology; Sociology; Race (biology); Geography; Gender studies; Political science; Social media; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008842356,0.0001054211,0.0001580462,0.0008285326,0.0009582096,0.001022783,0.0002231143,0.0002509285,0.002115195],"category_scores_gemma":[0.003729542,0.00008585357,0.0001516671,0.0006921244,0.001050425,0.0009203951,0.0009251733,0.000263654,0.0001185302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003963035,"about_ca_system_score_gemma":0.0002586788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007558776,"about_ca_topic_score_gemma":0.01540897,"domain_scores_codex":[0.9994029,0.0003599196,0.00001795861,0.00007916896,0.0000435808,0.00009637854],"domain_scores_gemma":[0.9977353,0.0009728062,0.00071224,0.0001970114,0.0001133106,0.0002693284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005016708,0.00004084732,0.9856236,0.00001104015,0.00004634482,0.00006539091,0.006407329,0.0001189112,0.0007476944,0.001006219,0.00008727211,0.005795154],"study_design_scores_gemma":[0.000002151505,0.00002510337,0.9881762,0.00001293128,0.0000247258,0.00009403218,0.009798172,0.0007622074,0.0001556491,0.0005411265,0.0004026956,0.000005193532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998893,0.00003784877,0.0000916889,0.00006987174,9.276421e-7,0.000001753738,0.00002390165,8.152126e-7,0.0008802533],"genre_scores_gemma":[0.9998579,0.00001769961,0.0000380918,0.000007786428,0.000001446579,0.000001630476,0.000009702175,4.704355e-7,0.00006531108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007558776,"threshold_uncertainty_score":0.01502955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142360857431276,"score_gpt":0.3355410796212059,"score_spread":0.3041174710468931,"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."}}