{"id":"W4410439208","doi":"10.5194/amt-18-2201-2025","title":"Comparison of methods for resolving the contributions of local emissions to measured concentrations","year":2025,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Environmental science; Atmospheric sciences; Greenhouse gas; Physics; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006676358,0.001295078,0.000753899,0.002957779,0.000417508,0.001281633,0.001426424,0.00119415,0.0008454379],"category_scores_gemma":[0.01533416,0.0004280214,0.0009895737,0.001635659,0.0004376428,0.001478536,0.0009494925,0.0009643445,0.0003619957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187581,"about_ca_system_score_gemma":0.00108358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145682,"about_ca_topic_score_gemma":0.01301067,"domain_scores_codex":[0.9976752,0.0008990497,0.0001743483,0.0005061348,0.0006355446,0.0001096162],"domain_scores_gemma":[0.9908413,0.006262195,0.0006360707,0.0005134994,0.001645346,0.0001015647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007364212,0.0003596944,0.04611288,0.0004841979,0.001075212,0.00009669855,0.0001998978,0.4884749,0.007086036,0.003394041,0.001471516,0.4505084],"study_design_scores_gemma":[0.00002357112,0.00006990816,0.007674485,0.00003052358,0.00005285331,0.00003883406,0.00005060208,0.9882487,0.002453921,0.0008355203,0.0004989312,0.00002213101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2460859,0.002800161,0.7437497,0.0004213713,0.0002926005,0.0001869166,0.0003936334,0.002412359,0.003657322],"genre_scores_gemma":[0.6800998,0.0008349799,0.3162504,0.0001495348,0.0001290417,0.0001466914,0.000816954,0.0002785365,0.001294066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0145682,"threshold_uncertainty_score":0.03530842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08084835582023925,"score_gpt":0.418997727485717,"score_spread":0.3381493716654778,"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."}}