{"id":"W1947997690","doi":"10.1002/gepi.21624","title":"Two‐Phase Stratified Sampling Designs for Regional Sequencing","year":2012,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Stratified sampling; Sampling (signal processing); Statistics; Biology; Computational biology; Mathematics; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002740082,0.000284377,0.0005307867,0.00007051243,0.000236169,0.000005925097,0.0002581249,0.0004035846,0.00004597688],"category_scores_gemma":[0.002796771,0.0002754612,0.0002485342,0.00008562815,0.00016434,0.000004885423,0.00008733138,0.0001412144,0.00002773848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000634655,"about_ca_system_score_gemma":0.0001759418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005388002,"about_ca_topic_score_gemma":0.00003462158,"domain_scores_codex":[0.9968054,0.0006895213,0.0008184726,0.0004809125,0.00006821081,0.001137436],"domain_scores_gemma":[0.9978194,0.0008925032,0.0003630107,0.0005048768,0.0001343002,0.0002859722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004129295,0.0003834695,0.3122077,0.00007471061,0.0005925139,0.000001209307,0.0004423364,0.01284544,0.5663732,0.01394329,0.04045627,0.05226698],"study_design_scores_gemma":[0.02195198,0.007351599,0.4064845,0.0001089107,0.0009725788,0.001006675,0.003401255,0.02444085,0.02887643,0.09820726,0.4019371,0.005260824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5310656,0.003155441,0.4640667,0.0005772726,0.0004127808,0.0003790607,0.00003261506,0.000021218,0.0002892807],"genre_scores_gemma":[0.680869,0.0002266152,0.313921,0.00262183,0.001516861,0.0002047711,0.0003504215,0.00003619385,0.000253281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5374967,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2117065578301545,"score_gpt":0.4078413363036156,"score_spread":0.1961347784734611,"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."}}