{"id":"W2060348987","doi":"10.1179/002777310x12759861710501","title":"Hawaii Data: Women's Marital Surname Change by Bride's Age and Jurisdiction of Residence","year":2011,"lang":"en","type":"article","venue":"Names","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Residence; Demography; Bride; Marital status; Jurisdiction; State (computer science); Geography; Demographic economics; Sociology; Population; Political science; History; Economics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001117574,0.00006657193,0.0001291465,0.0001089098,0.0002700716,0.00009318394,0.0003692349,0.00007448436,0.0004593551],"category_scores_gemma":[0.0003814914,0.00006751613,0.00001914055,0.0002031058,0.0005049873,0.0009207801,0.0001875638,0.0000996028,0.0000114839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005608616,"about_ca_system_score_gemma":0.00008043889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380557,"about_ca_topic_score_gemma":0.007082471,"domain_scores_codex":[0.9986658,0.0001547479,0.0001557137,0.0002333417,0.0005233572,0.0002670913],"domain_scores_gemma":[0.9993566,0.00008179902,0.00008017479,0.0002395804,0.0001105249,0.0001313149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001039372,0.0003928124,0.7050527,0.0001834583,0.00004983668,0.00005905366,0.09861571,2.601011e-8,0.0005010354,0.03301938,0.08993617,0.07208591],"study_design_scores_gemma":[0.0006714889,0.0002151514,0.8714756,0.00006652789,0.0000347942,0.00000288048,0.03698647,0.00001760113,0.0002432831,0.01523464,0.0747072,0.0003443646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453105,0.00200542,0.00005160663,0.001131665,0.0004279888,0.0003374551,0.0001300125,0.00006401601,0.05054133],"genre_scores_gemma":[0.992641,0.001698053,0.0001017058,0.00006015305,0.0001732398,0.00001905714,0.00001959682,0.000006668466,0.005280465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664229,"threshold_uncertainty_score":0.982695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589539323652394,"score_gpt":0.3651183318979526,"score_spread":0.2061643995327132,"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."}}