{"id":"W2043308942","doi":"10.1016/j.envint.2014.07.011","title":"A proposal for assessing study quality: Biomonitoring, Environmental Epidemiology, and Short-lived Chemicals (BEES-C) instrument","year":2014,"lang":"en","type":"article","venue":"Environment International","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Pacific Northwest National Laboratory; National Institute of Child Health and Human Development; National Institute of Environmental Health Sciences; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Penn State College of Medicine; Health Canada; American Chemistry Council; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Biomonitoring; Metric (unit); Exposure assessment; Environmental health; Quality (philosophy); Epidemiology; Environmental science; Computer science; Ecology; Medicine; Biology; Engineering; Pathology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003197684,0.0004059955,0.0004360824,0.00007788774,0.0003523637,0.00006865926,0.0004279962,0.000149847,0.001556531],"category_scores_gemma":[0.0002962135,0.0004041244,0.000118488,0.00004116053,0.0005492878,0.0004571982,0.0007431009,0.0003027985,0.0002755161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009416821,"about_ca_system_score_gemma":0.00001092772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009278338,"about_ca_topic_score_gemma":0.000006464801,"domain_scores_codex":[0.9959502,0.0005438238,0.0008708964,0.001312933,0.000670402,0.00065179],"domain_scores_gemma":[0.9982706,0.0006455195,0.0002992713,0.0004657373,0.00000252428,0.0003162983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004752143,0.0009123611,0.8904297,0.000009998408,0.00009802237,0.00000298821,0.0005006487,0.0002408013,0.02890263,0.000170164,0.0001081718,0.07857694],"study_design_scores_gemma":[0.001645772,0.0003626907,0.9635357,0.00002413582,0.00006214486,0.0000152166,0.0010202,0.003851316,0.003237198,0.001993937,0.02365312,0.0005986048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834497,0.00003376861,0.01165198,0.001472086,0.0003383845,0.001435796,0.00005174764,0.0000558944,0.001510657],"genre_scores_gemma":[0.9851716,0.00008503076,0.01307792,0.0005685365,0.000294007,0.0003672596,0.0001397583,0.00005618663,0.0002397217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07797834,"threshold_uncertainty_score":0.999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07448690058887152,"score_gpt":0.3796821248787501,"score_spread":0.3051952242898786,"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."}}