{"id":"W2801756252","doi":"10.4054/demres.2018.38.44","title":"Measuring extended families over time in informal settlements in Nairobi, Kenya: Retention and data consistency in a two-round survey","year":2018,"lang":"en","type":"article","venue":"Demographic Research","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Kinship; Consistency (knowledge bases); Attrition; Descriptive statistics; Sample (material); Survey of Income and Program Participation; Selection bias; Data collection; Psychology; Fidelity; Survey data collection; Social psychology; Sociology; Demographic economics; Statistics; Economics; Computer science; Social science; Medicine; Mathematics","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":[0.01341938,0.00009552856,0.0001587466,0.001091352,0.0003428409,0.0001940819,0.0004521386,0.00008518097,0.00004805749],"category_scores_gemma":[0.0009493431,0.0001004843,0.00002306059,0.001780672,0.0006298856,0.0006358213,0.0003850006,0.0003537936,0.000009574546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317618,"about_ca_system_score_gemma":0.0002785117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03906187,"about_ca_topic_score_gemma":0.6664849,"domain_scores_codex":[0.9966966,0.001106343,0.0003730826,0.000389865,0.0008767981,0.000557313],"domain_scores_gemma":[0.9989913,0.0003130778,0.00004408571,0.0003075763,0.0002716245,0.00007237982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005387235,0.00005159376,0.989162,0.0000123465,0.00001021614,0.00001085718,0.003087602,0.000005433064,0.0003754627,0.00460487,0.0002077392,0.002418022],"study_design_scores_gemma":[0.0005663843,0.00003946501,0.9854506,0.0001082989,0.000001161453,6.116848e-7,0.001864822,0.01035709,0.0000031837,0.001019701,0.0004720083,0.0001166644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898995,0.000172428,0.000008865963,0.0001156464,0.0001123355,0.0003203641,0.00004582047,0.000009186531,0.0093159],"genre_scores_gemma":[0.9988189,0.0004142153,0.00007335243,0.00003652693,0.00006089979,0.00002038816,0.0001271109,0.000008380794,0.0004401717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.627423,"threshold_uncertainty_score":0.9673371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302580967240954,"score_gpt":0.4094675987541273,"score_spread":0.2792095020300319,"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."}}