{"id":"W4322501658","doi":"10.3390/atmos14030461","title":"Is There a Formaldehyde Deficit in Emissions Inventories for Southeast Michigan?","year":2023,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Formaldehyde; Ozone; Environmental science; Air quality index; Environmental chemistry; Volatile organic compound; Air pollution; Pollutant; Emission inventory; National Ambient Air Quality Standards; Meteorology; Atmospheric sciences; Chemistry; Organic chemistry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007975397,0.0002517629,0.0001867557,0.0008006446,0.0002372586,0.0006281332,0.0003971743,0.0002151912,0.0006481833],"category_scores_gemma":[0.00205452,0.0001580331,0.0003398683,0.001499267,0.00009072917,0.0007212301,0.0002602743,0.0002108161,0.000114531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002573464,"about_ca_system_score_gemma":0.001209363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3521521,"about_ca_topic_score_gemma":0.5477203,"domain_scores_codex":[0.9996753,0.00006565545,0.00005101314,0.00008836955,0.00008782144,0.00003186378],"domain_scores_gemma":[0.9990232,0.0001925469,0.0003021412,0.00008616815,0.0003512465,0.00004474841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001022021,0.00003495058,0.9454169,0.0001794751,0.0003107906,0.0001470439,0.0002019555,0.01195811,0.004918782,0.0008458528,0.003592138,0.03229182],"study_design_scores_gemma":[0.00001684879,0.00006283818,0.9275554,0.000163525,0.0001761536,0.0001233046,0.0004680592,0.04107312,0.007107439,0.0005627085,0.02265645,0.00003405084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513777,0.001251181,0.00529276,0.001447881,0.0000453322,0.00004800507,0.03610134,0.000248496,0.004187349],"genre_scores_gemma":[0.9779685,0.0004390824,0.004562185,0.0002402822,0.0000196959,0.00003506441,0.01605149,0.00003725553,0.00064636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3521521,"threshold_uncertainty_score":0.7002047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219844446534088,"score_gpt":0.2379492263534249,"score_spread":0.2159647817000161,"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."}}