{"id":"W4281780814","doi":"10.1088/2515-7620/ac77e0","title":"Air pollution exposure and its impacts on everyday life and livelihoods of vulnerable urban populations in South Asia","year":2022,"lang":"en","type":"article","venue":"Environmental Research Communications","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Livelihood; Vulnerability (computing); Socioeconomic status; Environmental health; Socioeconomics; South asia; Geography; Psychological intervention; Household income; Business; Population; Medicine; Economics; Agriculture","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002263196,0.000104956,0.0001442353,0.0001619416,0.001422623,0.00001393351,0.0004179297,0.00005294801,0.000792058],"category_scores_gemma":[0.0003578114,0.0001138211,0.000022791,0.0003510599,0.0004476614,0.0002311287,0.001527798,0.0008508454,0.00005049927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005412317,"about_ca_system_score_gemma":0.00004488142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004476823,"about_ca_topic_score_gemma":0.000212051,"domain_scores_codex":[0.996905,0.001511384,0.0003079487,0.0002456391,0.0006590537,0.0003709945],"domain_scores_gemma":[0.9986293,0.000302723,0.00009261435,0.0006778351,0.000003230887,0.0002942696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003257383,0.003119136,0.8996717,0.00008020444,0.00003344245,0.000005108345,0.05019025,0.009933775,0.009232377,0.01092637,0.007391745,0.009090109],"study_design_scores_gemma":[0.0004804821,0.0004869827,0.9843571,0.00001775758,0.000003792241,0.000003278959,0.00533232,0.002336249,0.0001182947,0.0008055505,0.005941239,0.0001169325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865389,0.001664418,0.000008477852,0.008817095,0.0000152093,0.0005500012,0.0001540691,0.00001066622,0.002241114],"genre_scores_gemma":[0.9978325,0.0006191764,0.000440383,0.0005564266,0.000007871113,0.0001087273,0.00004873749,0.0000133735,0.0003727833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08468537,"threshold_uncertainty_score":0.9998774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568925266397768,"score_gpt":0.3941885593703036,"score_spread":0.2372960327305268,"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."}}