{"id":"W4382657187","doi":"10.21203/rs.3.rs-2988847/v1","title":"Intra-urban variability of long-term exposure to PM2.5 and NO2 in five cities in Colombia","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Term (time); Environmental science; Geography","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":[0.007350363,0.0001940331,0.0004780771,0.0003271737,0.00009243838,0.00005433264,0.0004816879,0.0003988182,0.0005867463],"category_scores_gemma":[0.002075702,0.0001988632,0.00004395163,0.00073918,0.0005331808,0.0001090133,0.00242776,0.001477368,0.0001056981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009896851,"about_ca_system_score_gemma":0.0002430452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01575873,"about_ca_topic_score_gemma":0.02507178,"domain_scores_codex":[0.9955199,0.001364029,0.0005935945,0.0007256166,0.0009759224,0.0008208979],"domain_scores_gemma":[0.9977295,0.001128401,0.00008567762,0.000633156,0.00004673923,0.0003764601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001520786,0.0001759033,0.973262,0.002295463,0.000005388035,0.00005325068,0.01432202,0.001781349,0.00004703426,0.00007508529,0.005050154,0.002780269],"study_design_scores_gemma":[0.0002985013,0.0004028604,0.993652,0.0008725071,0.000001665615,7.263257e-7,0.001015217,0.0001387161,0.00007604403,0.003280375,0.00009233672,0.0001689862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933849,0.00007391615,0.00002834067,0.0034615,0.0000870373,0.001776352,0.0001671513,0.00002502352,0.0009957751],"genre_scores_gemma":[0.9984138,0.0002206745,0.0002156905,0.0001235636,0.00004228034,0.0002172006,0.0000360832,0.00002124742,0.0007094832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02039006,"threshold_uncertainty_score":0.9927181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163943141653632,"score_gpt":0.4210084687065056,"score_spread":0.3046141545411424,"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."}}