{"id":"W3196977016","doi":"10.1021/acs.estlett.1c00648","title":"Defining the Scope of Exposome Studies and Research Needs from a Multidisciplinary Perspective","year":2021,"lang":"en","type":"review","venue":"Environmental Science & Technology Letters","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; National Institutes of Health; Vetenskapsrådet; Gunma University; Hjärt-Lungfonden; Swedish Foundation for International Cooperation in Research and Higher Education; European Commission","keywords":"Exposome; Scope (computer science); Multidisciplinary approach; Engineering ethics; Perspective (graphical); Standardization; Data science; Management science; Computer science; Medicine; Engineering; Sociology; Environmental health; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.02992534,0.001475436,0.003753778,0.007155664,0.001224808,0.006337855,0.00295312,0.005858728,0.00224795],"category_scores_gemma":[0.01879011,0.0007030097,0.00146472,0.006326008,0.004808954,0.01303129,0.004921285,0.007872057,0.001023099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00348123,"about_ca_system_score_gemma":0.01586131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320176,"about_ca_topic_score_gemma":0.002330212,"domain_scores_codex":[0.9919426,0.003759324,0.001372945,0.0009018678,0.00155374,0.0004693388],"domain_scores_gemma":[0.9619676,0.02991961,0.001476273,0.0007951164,0.004638822,0.001202589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001410783,0.0001245166,0.000704488,0.05283435,0.000190565,0.0006156819,0.002386339,0.001197116,0.002451685,0.2062106,0.0375331,0.6956106],"study_design_scores_gemma":[0.00003358861,0.0001147627,0.001342305,0.03894995,0.0001419274,0.001136095,0.002357282,0.0003224357,0.0004438589,0.08696478,0.8681106,0.00008237231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001801432,0.9781953,0.002096108,0.01609882,0.001368472,0.00002729849,0.00003353809,0.00001274258,0.001987603],"genre_scores_gemma":[0.003585235,0.9801517,0.004761901,0.007696287,0.002947634,0.0002086104,0.00008874333,0.000012366,0.0005476213],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02992534,"threshold_uncertainty_score":0.1582623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05189710338661598,"score_gpt":0.3857699255569478,"score_spread":0.3338728221703319,"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."}}