{"id":"W2032628051","doi":"10.1111/j.1540-6237.2006.00427.x","title":"Hispanic Intermarriage, Identification, and U.S. Latino Population Change<sup>*</sup>","year":2006,"lang":"en","type":"article","venue":"Social Science Quarterly","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Census; Ethnic group; Demography; Population; Identification (biology); Geography; Projections of population growth; Population growth; Sociology; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001282828,0.0001009121,0.0001155762,0.0001691319,0.002801544,0.0004431063,0.0002894244,0.0001168808,0.00002971813],"category_scores_gemma":[0.00005622648,0.0001027106,0.00004779905,0.0009024131,0.0009849527,0.001020397,0.0000152845,0.0001251784,0.000033918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996111,"about_ca_system_score_gemma":0.00009050508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008092141,"about_ca_topic_score_gemma":0.001587926,"domain_scores_codex":[0.9983001,0.0001338633,0.0002761429,0.0003308882,0.0005704134,0.000388617],"domain_scores_gemma":[0.9994338,0.0000508471,0.0001473781,0.0001166094,0.0001557477,0.00009557882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004181224,0.00006079938,0.09478239,0.000008858244,0.000004560334,0.000001381799,0.08933067,0.00000808211,0.0006684534,0.7654772,0.0004431565,0.0492102],"study_design_scores_gemma":[0.0001444655,0.00003800046,0.9415687,0.000009739914,0.00001171002,6.112755e-7,0.01437269,0.002501925,0.000001790147,0.03962991,0.001530144,0.000190352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814178,0.0000374815,0.0002398246,0.002282703,0.0003881825,0.0003229169,0.000009587597,0.0001003591,0.01520108],"genre_scores_gemma":[0.9980925,0.000006244832,0.00009721837,0.00008869707,0.0006989109,0.00002480498,0.00002204248,0.000007923634,0.0009616774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8467863,"threshold_uncertainty_score":0.998513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006154667112602,"score_gpt":0.2924992317900958,"score_spread":0.2724376851189698,"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."}}