{"id":"W4254367992","doi":"10.31235/osf.io/mv9d7","title":"Toxic Neighborhoods: The Joint Effects of Concentrated Poverty and Environmental Lead Contamination on Cognitive Development during Early Childhood","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Disadvantaged; Poverty; Environmental health; Early childhood; Cognitive development; Cognition; Socioeconomic status; Psychology; Confounding; Developmental psychology; Geography; Medicine; Economic growth; Economics; Population","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":[0.0008998364,0.0002740259,0.0002160499,0.0004570346,0.0002298839,0.0004428681,0.0003224706,0.0002661184,0.001287607],"category_scores_gemma":[0.002941064,0.000175147,0.0003871449,0.0004252304,0.0004052347,0.0002963733,0.0009638457,0.0002440601,0.00007337005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003192638,"about_ca_system_score_gemma":0.0006959852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02730855,"about_ca_topic_score_gemma":0.03718456,"domain_scores_codex":[0.9993817,0.0002891558,0.00001859608,0.0001166766,0.00008828229,0.000105654],"domain_scores_gemma":[0.9983609,0.0008380372,0.0004203432,0.000154368,0.00008059337,0.0001457772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001345843,0.00006775087,0.990827,0.00001183266,0.0001657441,0.0001336537,0.0002417595,0.002775963,0.0004415338,0.0005821122,0.00009864097,0.004519362],"study_design_scores_gemma":[0.00000561569,0.0001116249,0.9945872,0.000009582648,0.00006357797,0.00005659732,0.0003723849,0.003710144,0.0003748374,0.000554671,0.0001493398,0.000004386465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991411,0.00005456081,0.0003524902,0.00003460408,0.000001008758,0.000002240687,0.00007275402,0.000003236164,0.0003380127],"genre_scores_gemma":[0.9995165,0.00003505521,0.0002077144,0.000005438825,0.000001211401,0.00000351553,0.00006175355,0.00000133415,0.0001674445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02730855,"threshold_uncertainty_score":0.05429918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009744695723239154,"score_gpt":0.1970194313142907,"score_spread":0.1872747355910516,"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."}}