{"id":"W3215292597","doi":"10.2196/28920","title":"Understanding “Atmosome”, the Personal Atmospheric Exposome: Comprehensive Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exposome; Environmental resource management; Environmental science; Medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001109843,0.0008837799,0.0007660895,0.002783083,0.0006615168,0.002509714,0.000863245,0.001335938,0.001826865],"category_scores_gemma":[0.002013596,0.0003961174,0.001027831,0.0015324,0.00147948,0.00367465,0.00209179,0.001314726,0.0004676491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000749933,"about_ca_system_score_gemma":0.001151168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337064,"about_ca_topic_score_gemma":0.00418645,"domain_scores_codex":[0.999454,0.0001676468,0.00002951913,0.0001814344,0.0001293182,0.00003807975],"domain_scores_gemma":[0.9990219,0.0004206307,0.000113977,0.0001692264,0.0002099367,0.00006426401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002873683,0.0003313682,0.09373308,0.007590403,0.001218964,0.001756435,0.005150751,0.03188467,0.08811129,0.1973127,0.02799549,0.5446274],"study_design_scores_gemma":[0.00002172288,0.0005197467,0.1334608,0.002655157,0.001153606,0.004158951,0.005024394,0.1012481,0.027043,0.4281141,0.2962579,0.000342638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0904356,0.08213724,0.7821165,0.01157394,0.0008315055,0.0003395575,0.003788869,0.001376716,0.02740013],"genre_scores_gemma":[0.5976677,0.06623963,0.3206284,0.004690247,0.00132602,0.0004146594,0.002502685,0.0002337666,0.006296989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003337064,"threshold_uncertainty_score":0.006635249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087073873028526,"score_gpt":0.2409289796419409,"score_spread":0.2000582409116556,"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."}}