{"id":"W2902356519","doi":"10.1016/s2468-2667(18)30233-0","title":"Consideration of local geographical variations in PM2·5 concentrations in China","year":2018,"lang":"en","type":"letter","venue":"The Lancet Public Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Geography; MEDLINE; Environmental health; Medicine; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003590646,0.0001715886,0.0005361573,0.0001301317,0.0002015282,0.00004479015,0.0003620598,0.0003812159,0.0009723271],"category_scores_gemma":[0.0002688582,0.0001338424,0.0000442627,0.0007173596,0.0006758347,0.0002216492,0.00008852573,0.001502502,0.00007397455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532773,"about_ca_system_score_gemma":0.000729962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282139,"about_ca_topic_score_gemma":0.01600459,"domain_scores_codex":[0.9962232,0.001290074,0.0008203151,0.0003178315,0.0004676209,0.0008809907],"domain_scores_gemma":[0.9985961,0.0003484349,0.0003857926,0.0005080038,0.00001632182,0.0001453347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006533531,0.00008118913,0.01804704,0.0000992272,0.000005292849,0.000003489796,0.002684549,0.0001520309,4.944395e-7,0.003778369,0.9730078,0.002133976],"study_design_scores_gemma":[0.00060382,0.0001306632,0.4045103,0.00007831685,0.000003003878,0.00000740592,0.0000857889,0.003071683,0.000001088146,0.005598743,0.5857445,0.0001646667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004639219,0.00005069232,0.006345875,0.9856364,0.0001745265,0.0006272109,0.00009108746,0.00002732961,0.002407673],"genre_scores_gemma":[0.2856636,0.000160521,0.0005555467,0.7124617,0.0008258233,0.00004289332,0.0002124874,0.00001342587,0.00006401727],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3872633,"threshold_uncertainty_score":0.9999409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09179210500892357,"score_gpt":0.3417000393404301,"score_spread":0.2499079343315065,"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."}}