{"id":"W2044458985","doi":"10.1186/1710-1492-10-s1-a20","title":"Optimizing subject retention in a longitudinal birth cohort study: lessons learned from the Vancouver site of the CHILD Study","year":2014,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subject (documents); Cohort; Longitudinal study; Cohort study; Psychology; Demography; Longitudinal data; Developmental psychology; Medicine; Gerontology; Computer science; Sociology; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002658318,0.0001790891,0.0003897843,0.00002368125,0.0002992391,0.00001542273,0.0003570078,0.000132101,0.000360508],"category_scores_gemma":[0.0004483866,0.0001161127,0.0001007717,0.0001971645,0.0006464615,0.0001083932,0.0007287815,0.0007162426,0.00004948546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005720623,"about_ca_system_score_gemma":0.00001200109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006871525,"about_ca_topic_score_gemma":0.05969469,"domain_scores_codex":[0.9958252,0.002170911,0.0006678725,0.0007460689,0.0002605373,0.0003293711],"domain_scores_gemma":[0.9980063,0.0009693292,0.0002840869,0.0006834876,0.000008061641,0.00004877463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001175099,0.0009023221,0.977948,6.71335e-7,0.0001714075,0.000004506654,0.001199586,0.0001945945,0.0001026889,0.00001208186,0.00001717853,0.01932952],"study_design_scores_gemma":[0.001683965,0.0007477661,0.9926084,0.00002011659,0.00002852506,0.000001687091,0.002664991,0.0004316262,0.00001077318,0.0001537494,0.001525524,0.0001228764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967087,0.00008221474,0.0001687712,0.001070757,0.0002779792,0.0007379135,0.000003657559,0.00001355058,0.0009364652],"genre_scores_gemma":[0.9990416,0.0003840361,0.00005608704,0.0003133112,0.00003923004,0.00003966545,0.000002878293,0.00001630902,0.0001068799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05282316,"threshold_uncertainty_score":0.9997418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648050218267231,"score_gpt":0.3072491230188846,"score_spread":0.2707686208362123,"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."}}