{"id":"W2052560952","doi":"10.1007/s10654-009-9364-5","title":"Predictors of locating children participants in epidemiological studies 20 years after last contact: internet resources and longitudinal research","year":2009,"lang":"en","type":"article","venue":"European Journal of Epidemiology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"The Internet; Medicine; Longitudinal study; Public health; Socioeconomic status; Epidemiology; Telephone number; Cohort study; Sample (material); Cohort; Demography; Family medicine; Environmental health; Population; World Wide Web; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02087327,0.0001726337,0.001306583,0.0003172588,0.00002398033,0.000004506971,0.0002429393,0.00005734718,0.0000338582],"category_scores_gemma":[0.03465514,0.0001219211,0.0001283839,0.0002062081,0.0006167819,0.00008605564,0.0001869143,0.000794627,0.00001306398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005977393,"about_ca_system_score_gemma":0.00004158104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001171503,"about_ca_topic_score_gemma":0.00002192507,"domain_scores_codex":[0.990449,0.006565297,0.001831578,0.0003429902,0.0002189599,0.0005922494],"domain_scores_gemma":[0.9950792,0.00338928,0.0006738257,0.0002698479,0.0002713032,0.0003165641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185396,0.0001219205,0.9884591,0.00002541232,0.0002234965,0.0007777929,0.0006249273,0.00003897267,0.0001243084,0.00004948558,0.004448651,0.003920592],"study_design_scores_gemma":[0.001199991,0.002014383,0.9943092,0.0006596242,0.00005598803,0.0002428331,0.0001918753,0.00004816864,0.0000114246,0.000179974,0.001002287,0.00008419107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859686,0.01197088,0.00005038061,0.001483338,0.00009236901,0.0001530977,0.00001700799,0.00001133419,0.0002529678],"genre_scores_gemma":[0.9970315,0.001072033,0.000932607,0.000557828,0.0003478291,0.000001531533,0.000007188678,0.00001485959,0.00003466435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378187,"threshold_uncertainty_score":0.9734764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1730132986731293,"score_gpt":0.4180390214887329,"score_spread":0.2450257228156036,"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."}}