{"id":"W2758419295","doi":"10.1289/ehp1774","title":"Endocrine Disruptors and Health Effects in Africa: A Call for Action","year":2017,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Environmental Health Sciences","keywords":"Environmental planning; Environmental health; Public health; Wildlife; Biobank; Call to action; Psychological intervention; Business; Environmental resource management; Environmental protection; Political science; Medicine; Geography; Environmental science; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003847585,0.0002191818,0.0003294215,0.00003987296,0.0007639539,0.00004722043,0.0001975264,0.00003836826,0.00006201864],"category_scores_gemma":[0.000102352,0.0001957723,0.00006634434,0.00002996055,0.0003795463,0.0002788203,0.0002387471,0.0001933647,0.00002345954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009780391,"about_ca_system_score_gemma":0.0000136436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296817,"about_ca_topic_score_gemma":0.0005636603,"domain_scores_codex":[0.9982417,0.00007377838,0.0002526855,0.0005909664,0.0001932276,0.0006476297],"domain_scores_gemma":[0.9989812,0.0001599601,0.0002425898,0.0003465744,9.952562e-7,0.0002687148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002747557,0.002540667,0.7921304,0.000806563,0.00005487965,0.0000397905,0.02530431,0.0001054302,0.01347401,0.0009938409,0.009059221,0.1552161],"study_design_scores_gemma":[0.001776599,0.000824535,0.9860719,0.00008422224,0.000005363785,0.00001686003,0.00232255,0.0003155354,0.0007715075,0.0005909867,0.006941503,0.0002784664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892365,0.001786554,0.0001047939,0.006544639,0.0001340986,0.001312245,0.0000296372,0.00003555198,0.0008159578],"genre_scores_gemma":[0.996371,0.001139981,0.001553654,0.0001984296,0.00008143027,0.0001420792,0.000009264891,0.00002753585,0.000476675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1939415,"threshold_uncertainty_score":0.7983364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978525248736357,"score_gpt":0.4008952171874731,"score_spread":0.3711099647001095,"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."}}