{"id":"W2990958677","doi":"10.1289/isee.2014.o-275","title":"Greenness and Allergies: Evidence of Differential Associations in Two Areas in Germany","year":2014,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Helmholtz Zentrum München; Leibniz-Gemeinschaft; Canadian Institutes of Health Research; Helmholtz-Zentrum für Umweltforschung; Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie; Ludwig-Maximilians-Universität München","keywords":"Medicine; Interquartile range; Aeroallergen; Odds ratio; Confidence interval; Demography; Asthma; Allergy; Generalized estimating equation; Environmental health; Allergen; Internal medicine; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001051701,0.0003726963,0.0003510144,0.001795797,0.0003639544,0.0007835612,0.0003931415,0.0004246449,0.001167163],"category_scores_gemma":[0.001671469,0.0003158678,0.000812791,0.001681115,0.0006871641,0.0004421365,0.001239017,0.0003485518,0.0001138203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008428347,"about_ca_system_score_gemma":0.0005774477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03603812,"about_ca_topic_score_gemma":0.04350114,"domain_scores_codex":[0.9992917,0.0001828611,0.00006135344,0.0002411219,0.00008243522,0.0001405627],"domain_scores_gemma":[0.9983911,0.0003314651,0.0008021764,0.0001720555,0.00007817202,0.0002249703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001687803,0.00002850711,0.9962057,0.00003548542,0.000274257,0.0001467233,0.0003822849,0.0001188141,0.0002198733,0.00009082708,0.00009608395,0.002232648],"study_design_scores_gemma":[0.000004048,0.0000243802,0.9995198,0.000008216592,0.00004029506,0.00003971407,0.0001508615,0.00007525045,0.00003269873,0.00001740719,0.00008477556,0.000002540781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991539,0.000408854,0.00006908057,0.00003629634,0.000004277604,0.000002787358,0.0001931704,0.000002285679,0.0001292949],"genre_scores_gemma":[0.9995021,0.0001892692,0.00004363179,0.00001478692,0.000002337002,0.000003068561,0.0001890495,8.846359e-7,0.00005478511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03603812,"threshold_uncertainty_score":0.0716567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03518284812492575,"score_gpt":0.2982844540122014,"score_spread":0.2631016058872757,"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."}}