{"id":"W6959504649","doi":"10.1021/acsestair.4c00127.s001","title":"Spatiotemporally\\nDetailed Quantification\\nof Air Quality Benefits of Emissions Reductions–Part I: Benefit-per-Ton\\nEstimates for Canada and the U.S.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Air pollution; Health benefits; Ton; Natural (archaeology); Nitrate","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":[0.000599689,0.000626725,0.0003453439,0.0006978119,0.0002930405,0.0009269587,0.0009246965,0.0004971211,0.004550606],"category_scores_gemma":[0.0009977896,0.0002645239,0.001192458,0.00149124,0.0004295189,0.0006132717,0.0005705209,0.0006950516,0.0004759711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007103386,"about_ca_system_score_gemma":0.009280474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8473509,"about_ca_topic_score_gemma":0.8615875,"domain_scores_codex":[0.9997386,0.00003889744,0.000008805357,0.00005365932,0.00008908442,0.00007095795],"domain_scores_gemma":[0.9996724,0.00005989205,0.0000361991,0.00002993699,0.0001695522,0.00003190537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001750934,0.00009246138,0.03812374,0.0003224389,0.00038933,0.00007766272,0.00008154009,0.8914443,0.002871832,0.02152648,0.02570441,0.01919075],"study_design_scores_gemma":[0.00008214585,0.00008150884,0.07678837,0.0001229539,0.000216012,0.00006911808,0.0004346076,0.8473357,0.002739779,0.009851675,0.06218342,0.00009461784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6088536,0.003095434,0.06986929,0.003135923,0.0002452518,0.0003506971,0.2200354,0.001365632,0.09304871],"genre_scores_gemma":[0.9190016,0.001165105,0.01949882,0.0002506175,0.0000204779,0.0001544488,0.03975631,0.0002121289,0.01994054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1526491,"threshold_uncertainty_score":0.3070961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05854814503091404,"score_gpt":0.2695412547241861,"score_spread":0.210993109693272,"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."}}