{"id":"W2896784358","doi":"10.1097/ede.0000000000000932","title":"Nonparticipation Selection Bias in the MOBI-Kids Study","year":2018,"lang":"en","type":"article","venue":"Epidemiology","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"National Cancer Institute; Departament de Salut, Generalitat de Catalunya; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Pfizer Foundation; Bundesamt für Strahlenschutz; Conselleria de Sanitat Universal i Salut Pública; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Ministry of Internal Affairs and Communications; Institut National Du Cancer; Generalitat Valenciana; Pfizer; European Commission; Centres de Recerca de Catalunya","keywords":"Selection bias; Medicine; Demography; Odds ratio; Odds; Selection (genetic algorithm); Logistic regression","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":[0.002335354,0.0001100829,0.0001749805,0.00002909388,0.00008141657,0.000004970474,0.000174951,0.0001934473,0.00003515171],"category_scores_gemma":[0.002506717,0.00006520707,0.0000475718,0.0001575401,0.0001256968,0.000001714766,0.00004384428,0.0001461319,0.00003007853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007794802,"about_ca_system_score_gemma":0.00001897731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434339,"about_ca_topic_score_gemma":0.0008540103,"domain_scores_codex":[0.9976114,0.001435517,0.000270445,0.0003171759,0.00004710113,0.0003183351],"domain_scores_gemma":[0.9992405,0.000401843,0.00007272143,0.0002108911,0.00004397699,0.00003006177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003011074,0.0006378421,0.6852399,0.000005388477,0.00004396555,0.00000456379,0.0003384936,0.00004534476,0.2865317,0.001439643,0.01072379,0.0146882],"study_design_scores_gemma":[0.001235523,0.05029224,0.9117107,0.000007748653,0.00003441317,0.00004927011,0.0003107534,0.001525209,0.01457919,0.003730001,0.01615845,0.0003665395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99648,0.0001490776,0.0007586309,0.001089022,0.0001185682,0.0003535675,6.18844e-7,0.00001039894,0.00104009],"genre_scores_gemma":[0.9956826,0.00004122814,0.0002320565,0.003254009,0.0005627198,0.0001003263,0.00001710039,0.000005329113,0.0001046453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2719525,"threshold_uncertainty_score":0.3000955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09057386185413108,"score_gpt":0.3795555400002615,"score_spread":0.2889816781461304,"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."}}