{"id":"W4317181745","doi":"10.1289/isee.2022.p-0999","title":"Bringing TRAP and NLRP3 into focus to Save EJ Populations","year":2022,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflammasome; Particulates; Chemistry; Environmental health; Inflammation; Biology; Immunology; Medicine; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003459754,0.0007065342,0.001134702,0.002195574,0.0009062212,0.002913674,0.001634937,0.002222952,0.01720576],"category_scores_gemma":[0.009696555,0.0002231424,0.002121104,0.001573309,0.0008681096,0.004107255,0.003958649,0.002514808,0.003441867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274932,"about_ca_system_score_gemma":0.006493814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428542,"about_ca_topic_score_gemma":0.004906646,"domain_scores_codex":[0.9985447,0.0005930353,0.0001843772,0.0001846598,0.0002816176,0.0002115589],"domain_scores_gemma":[0.9947844,0.002101588,0.0008509526,0.0002718714,0.001432411,0.0005586988],"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":[0.000318369,0.0002314369,0.009958101,0.02547093,0.0007373786,0.0009640307,0.001302198,0.0005892433,0.001616873,0.01863806,0.1558293,0.7843441],"study_design_scores_gemma":[0.000135787,0.0003634368,0.01199126,0.02694319,0.000869386,0.001316098,0.003013385,0.0002965498,0.001290533,0.01978725,0.9339244,0.00006865833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.013511,0.7765566,0.01007484,0.1693275,0.008006322,0.000176382,0.003183778,0.0007008791,0.01846272],"genre_scores_gemma":[0.1343228,0.7451096,0.02340776,0.06942916,0.009161974,0.0007325016,0.003427945,0.0002870499,0.0141212],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01720576,"threshold_uncertainty_score":0.05755907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08319528911905302,"score_gpt":0.3283469415928997,"score_spread":0.2451516524738467,"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."}}