{"id":"W2810478360","doi":"10.1007/s40471-018-0156-x","title":"Statistical Challenges in the Analysis of Biomarkers of Environmental Chemical Exposures for Perinatal Epidemiology","year":2018,"lang":"en","type":"article","venue":"Current Epidemiology Reports","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Environmental epidemiology; Biomarker; Epidemiology; Computer science; Data science; Biomarker discovery; Medicine; Environmental health; Pathology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4284189,0.001565641,0.004719648,0.003806765,0.002308461,0.01127216,0.007356519,0.004538877,0.002428583],"category_scores_gemma":[0.7684903,0.001626526,0.003495009,0.00670838,0.009318927,0.007969524,0.005804976,0.01122511,0.0007227964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002061708,"about_ca_system_score_gemma":0.009419368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028913,"about_ca_topic_score_gemma":0.009325625,"domain_scores_codex":[0.5702251,0.3761921,0.01985555,0.00964927,0.02298819,0.001089873],"domain_scores_gemma":[0.08850582,0.8716981,0.007735723,0.02136607,0.009835971,0.000858332],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001706217,0.0006524861,0.1729408,0.004626365,0.01205426,0.001047398,0.002535864,0.05859034,0.002151622,0.2030049,0.03139831,0.5092916],"study_design_scores_gemma":[0.0004831663,0.001042748,0.04062875,0.00151847,0.002250391,0.00117022,0.001496845,0.2695365,0.002282097,0.6387259,0.0405612,0.0003037656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01773413,0.02220166,0.8903391,0.06256774,0.002235932,0.0005939509,0.00173617,0.0007465104,0.001844773],"genre_scores_gemma":[0.4006022,0.0113089,0.5559316,0.01563067,0.01026265,0.002325848,0.001784136,0.0006911652,0.001462854],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5715811,"threshold_uncertainty_score":0.7048612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.219741785542873,"score_gpt":0.4309916757469099,"score_spread":0.2112498902040369,"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."}}