{"id":"W2014620186","doi":"10.1080/10473289.2006.10464540","title":"Air Emission Inventories in North America: A Critical Assessment","year":2006,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Air quality index; Emission inventory; Pace; Metropolitan area; Environmental science; Work (physics); Quality (philosophy); Emerging technologies; Air pollutants; Air pollution; Environmental resource management; Computer science; Operations research; Risk analysis (engineering); Business; Engineering; Meteorology; 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":[0.0009672903,0.00009786185,0.0001767808,0.00006131512,0.000159167,0.00002682984,0.000254099,0.00004850841,0.00007218656],"category_scores_gemma":[0.00012565,0.00007108427,0.00009440864,0.0004297982,0.00004037643,0.0003719481,0.0001868115,0.0002572548,0.00002082671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981878,"about_ca_system_score_gemma":0.00002074614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002031682,"about_ca_topic_score_gemma":0.0003357601,"domain_scores_codex":[0.9979345,0.0002662922,0.0005317585,0.000108246,0.0008775956,0.0002816687],"domain_scores_gemma":[0.999072,0.0001041254,0.0005938288,0.0001354928,0.00002362979,0.00007089104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002765888,0.0002452878,0.8974938,0.00004802076,0.00002110184,0.00001104839,0.000384174,0.01571758,0.00004483143,0.0004022624,0.08102064,0.004583534],"study_design_scores_gemma":[0.0004235264,0.00007591544,0.9565969,0.00005157496,0.00003450723,0.000001177967,0.0006650289,0.0007557467,0.00003529797,0.002115224,0.0391629,0.00008220391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454424,0.00003211905,0.0007572298,0.04376043,0.0005310288,0.0002260487,0.000002899685,0.00001085724,0.009236973],"genre_scores_gemma":[0.9936877,0.00003875087,0.001390493,0.002545764,0.0001715856,0.000003830524,0.000001957909,0.000007435686,0.002152462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05910303,"threshold_uncertainty_score":0.5182542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320162586259116,"score_gpt":0.2902173409395874,"score_spread":0.2770157150769962,"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."}}