{"meta":{"query_hash":"6932296ec806","filters":{"venue":"Atmospheric Pollution Research"},"cohort_total":43,"direct_labels_cover":0,"predictions_cover":43,"exported":43,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/6932296ec806","api":"https://metacan.xera.ac/api/v1/cohort?venue=Atmospheric+Pollution+Research"},"results":[{"id":"W1993493472","doi":"10.5094/apr.2012.036","title":"Measuring lichen specimen characteristics to reduce relative local uncertainties for trace element biomonitoring","year":2012,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; McMaster University","funders":"Lakehead University","keywords":"Biomonitoring; Sampling (signal processing); Trace element; Spatial variability; Environmental science; Lichen; Variation (astronomy); Inductively coupled plasma mass spectrometry; Environmental chemistry; Pollution; Analytical Chemistry (journal); Chemistry; Soil science; Mass spectrometry; Mathematics; Statistics; Ecology; Physics; Biology","score_opus":0.12976053559226725,"score_gpt":0.34266669995870724,"score_spread":0.21290616436644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993493472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917949,0.0003778825,0.0010850435,0.004153182,0.00053213997,0.00076872675,0.00003583515,0.00006286157,0.0011894224],"genre_scores_gemma":[0.9942421,0.00003714852,0.001520919,0.000104359744,0.001528333,0.00018662759,0.000014274704,0.0000028091097,0.0023634348],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978906,0.00020964623,0.00025706727,0.00028671985,0.00040913132,0.00094686646],"domain_scores_gemma":[0.9989392,0.00037358885,0.000058446996,0.00008067923,0.00023119221,0.0003168678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015815536,0.00013604136,0.00018614031,0.000005640506,0.00052463956,0.000059243106,0.0002641734,0.00012345795,0.00027496673],"category_scores_gemma":[0.00033544766,0.00006536193,0.000072651914,0.0006392724,0.00011751701,0.00022321827,0.00015606235,0.00023204136,0.00018229024],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058530405,0.00045213735,0.042092573,0.000037563415,0.00013854876,0.0000032874673,0.003050286,0.00005424399,0.38670215,0.00723465,0.007818403,0.5518308],"study_design_scores_gemma":[0.00037938033,0.001171221,0.62673134,0.000045077544,0.000021264463,0.000005583879,0.0071242573,0.00064439204,0.026115667,0.00042992132,0.3368893,0.0004425798],"about_ca_topic_score_codex":0.000461397,"about_ca_topic_score_gemma":0.00006206385,"teacher_disagreement_score":0.5846388,"about_ca_system_score_codex":0.00039763947,"about_ca_system_score_gemma":0.000031245017,"threshold_uncertainty_score":0.40351567},"labels":[],"label_agreement":null},{"id":"W2015274142","doi":"10.5094/apr.2012.049","title":"Survey of persistent organic pollutants (POPs) and polycyclic aromatic hydrocarbons (PAHs) in the atmosphere of rural, urban and industrial areas of Concepción, Chile, using passive air samplers","year":2012,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental chemistry; Polybrominated diphenyl ethers; Congener; Dieldrin; Pollutant; Persistent organic pollutant; Environmental science; Organochlorine pesticide; Chemistry; Ethylbenzene; Chlordane; Pesticide; Benzene; Organic chemistry","score_opus":0.06128328998994948,"score_gpt":0.30174261919811163,"score_spread":0.24045932920816215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015274142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720716,0.0014815457,0.000022149048,0.00023311611,0.000078770805,0.00060969265,0.0001566541,0.000009773686,0.00020115192],"genre_scores_gemma":[0.9995541,0.0001232808,0.00017999766,0.000046516234,0.000034658726,0.000004845775,0.0000022406311,0.000029048824,0.000025324694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995632,0.0014898223,0.000675876,0.000270972,0.0010969804,0.00083434227],"domain_scores_gemma":[0.9981702,0.0006687458,0.0003820426,0.00050115475,0.000006021484,0.00027182148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002892519,0.0002469998,0.00050499546,0.00001632199,0.000171176,0.000016984468,0.00045269073,0.00020732185,0.0002903589],"category_scores_gemma":[0.0013672845,0.00019208045,0.00008535256,0.0021079802,0.0017276267,0.00036674086,0.0003104943,0.00042473688,0.0000053759095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020681266,0.00041098602,0.92937434,0.000017761284,0.00015396305,0.0000028488541,0.0058825607,0.000100319936,0.041825738,0.00001981213,0.0001838603,0.021820998],"study_design_scores_gemma":[0.001093584,0.00029544576,0.9877069,0.00009250877,0.000045702873,0.000033376684,0.006382002,0.0026014869,0.0014989174,0.000050846953,0.000020668187,0.00017853832],"about_ca_topic_score_codex":0.013223164,"about_ca_topic_score_gemma":0.0005742851,"teacher_disagreement_score":0.05833258,"about_ca_system_score_codex":0.0003620253,"about_ca_system_score_gemma":0.00018395901,"threshold_uncertainty_score":0.9933479},"labels":[],"label_agreement":null},{"id":"W2026795354","doi":"10.5094/apr.2012.043","title":"Chiral persistent organic pollutants as tracers of atmospheric sources and fate: review and prospects for investigating climate change influences","year":2012,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Pollutant; Biogeochemical cycle; Glacier; Environmental chemistry; Climate change; Volatilisation; Arctic; Chemistry; Physical geography; Ecology; Geography","score_opus":0.054238858106363676,"score_gpt":0.3295231529732079,"score_spread":0.2752842948668442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026795354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9595559,0.0358987,0.000014395144,0.00205598,0.00007886482,0.0015931891,0.00007468419,0.000056730514,0.0006715139],"genre_scores_gemma":[0.9871985,0.007928668,0.0035851381,0.0007983879,0.00008211739,0.0000754894,7.658051e-7,0.000044038643,0.00028692794],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968091,0.00025277413,0.0004486919,0.00047239906,0.0007526481,0.0012643504],"domain_scores_gemma":[0.99873465,0.00013546609,0.00023759285,0.00031261134,0.000016390703,0.0005632887],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020232764,0.00027360747,0.00043212558,0.0000069846965,0.00051233865,0.0000551197,0.00029106802,0.00012941998,0.0010277078],"category_scores_gemma":[0.0008621708,0.00023237201,0.0000802038,0.001168683,0.0011564102,0.0007668515,0.00040452377,0.0002758239,0.00006537217],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018615054,0.00047022392,0.34860557,0.0023682015,0.00028127726,0.0000068337886,0.0157286,0.000024644352,0.110781915,0.00064111216,0.00077102677,0.52013445],"study_design_scores_gemma":[0.0011111731,0.0010879764,0.9869282,0.00076775247,0.00020218828,0.00015142982,0.0026280093,0.0014777931,0.0028341338,0.0004885647,0.0017016123,0.000621136],"about_ca_topic_score_codex":0.00034483752,"about_ca_topic_score_gemma":0.00004282777,"teacher_disagreement_score":0.63832265,"about_ca_system_score_codex":0.0003119465,"about_ca_system_score_gemma":0.00006463191,"threshold_uncertainty_score":0.9998855},"labels":[],"label_agreement":null},{"id":"W2030517027","doi":"10.5094/apr.2012.030","title":"Concentration and source origin of lanthanoids in the Canadian atmospheric particulate matter: a case study","year":2012,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Particulates; Environmental chemistry; Environmental science; Lanthanide; Refining (metallurgy); Petrochemical; Pollution; Air pollution; Oil refinery; Chemistry; Environmental engineering","score_opus":0.081407341280371,"score_gpt":0.37712926375842437,"score_spread":0.2957219224780534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030517027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951715,0.00013398923,0.00008375821,0.0024216876,0.00003717582,0.00068365026,0.000002561492,0.0000070179453,0.0014586949],"genre_scores_gemma":[0.9983789,0.00001668333,0.00048224773,0.00084050273,0.000030869247,0.00004158448,0.0000010311844,0.0000074919058,0.00020070354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973887,0.00093028374,0.00025148492,0.00016933719,0.0005099085,0.0007502763],"domain_scores_gemma":[0.99923503,0.00012394933,0.000052402414,0.00023342087,0.0000143274365,0.00034087672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033781833,0.00008913122,0.00012307332,0.000002156416,0.000440653,0.00003946514,0.00013341913,0.00006652779,0.0007697853],"category_scores_gemma":[0.00008040582,0.00006667725,0.000015827722,0.0007879722,0.0003303162,0.00024379778,0.00007927205,0.0002633679,0.00018119437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001527373,0.00018263116,0.97634536,0.000012283933,0.0000044733706,0.000056637466,0.015316097,0.0004001413,0.000029916668,0.00008363113,0.0016976618,0.0058559002],"study_design_scores_gemma":[0.00040593054,0.00018912781,0.97448367,0.000008584451,0.000006654826,0.00018290672,0.012842118,0.005423948,0.000014453045,0.000057011614,0.0062908106,0.00009477299],"about_ca_topic_score_codex":0.6720205,"about_ca_topic_score_gemma":0.29509428,"teacher_disagreement_score":0.3769262,"about_ca_system_score_codex":0.00041788083,"about_ca_system_score_gemma":0.000110676534,"threshold_uncertainty_score":0.84286094},"labels":[],"label_agreement":null},{"id":"W2124642314","doi":"10.5094/apr.2013.016","title":"Dispersion model evaluation of PM2.5, NOx and SO2 from point and major line sources in Nova Scotia, Canada using AERMOD Gaussian plume air dispersion model","year":2013,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":142,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"AERMOD; Nova scotia; Environmental science; Meteorology; Dispersion (optics); Emission inventory; Air quality index; Atmospheric dispersion modeling; Air pollution; Line source; NOx; Atmospheric sciences; Geography; Physics; Chemistry","score_opus":0.08886338454655822,"score_gpt":0.3517143880501026,"score_spread":0.26285100350354434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124642314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98748106,0.00033921006,0.005538876,0.0056975745,0.000027947173,0.0006588712,0.000027126673,0.000008212465,0.00022113911],"genre_scores_gemma":[0.9907917,0.000057329373,0.008567808,0.0004179377,0.000020143352,0.0000088476545,0.000011095137,0.0000147181045,0.000110427216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969698,0.0003500892,0.00036501235,0.00041624194,0.0013525547,0.0005463121],"domain_scores_gemma":[0.99917233,0.00007767199,0.00010471906,0.0002474662,0.000061103674,0.00033672235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017561241,0.00014965168,0.00021918818,0.000016688844,0.00026106022,0.000030766234,0.00014850365,0.00012448429,0.00059409597],"category_scores_gemma":[0.0001623231,0.00013347944,0.000021750799,0.00041100886,0.00035758025,0.0005055363,0.00028047548,0.00028315614,0.000017037277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114528884,0.00012470172,0.035199065,0.000065826025,0.000011333225,0.0000015522538,0.0021278178,0.92912084,0.015366349,0.00006511951,0.0014179247,0.016384922],"study_design_scores_gemma":[0.0006792684,0.000057755446,0.13861844,0.00006860162,0.000010850369,0.0000012810747,0.00087365136,0.85759896,0.00027406053,0.0016875031,0.000008485195,0.0001211636],"about_ca_topic_score_codex":0.923597,"about_ca_topic_score_gemma":0.5645377,"teacher_disagreement_score":0.35905927,"about_ca_system_score_codex":0.0014335472,"about_ca_system_score_gemma":0.00055510417,"threshold_uncertainty_score":0.65049344},"labels":[],"label_agreement":null},{"id":"W2130939364","doi":"10.5094/apr.2014.052","title":"A year-long comparison of particle formation events at paired urban and rural locations","year":2014,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; Occupational Cancer Research Centre","funders":"Ministry of Environment; Svenska Forskningsrådet Formas; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Nucleation; Downtown; Environmental science; Atmospheric sciences; Ultrafine particle; Particle (ecology); Air mass (solar energy); Particle number; Meteorology; Geography; Physical geography; Chemistry; Physics; Geology; Mechanics; Archaeology","score_opus":0.08375835046263129,"score_gpt":0.38416228371035727,"score_spread":0.30040393324772596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130939364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906076,0.000069389724,0.005014673,0.0027798533,0.00002542727,0.00023257518,0.0000030576628,0.00002093332,0.0012464479],"genre_scores_gemma":[0.9978795,0.000016627782,0.0010399088,0.00015475586,0.000018758483,0.000016320153,0.0000060169114,0.0000054776287,0.00086263265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984613,0.000347074,0.0002471231,0.00011871329,0.00048191502,0.0003438529],"domain_scores_gemma":[0.9994364,0.00009974673,0.000075303804,0.00018176748,0.00002136214,0.00018543524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012114919,0.000057601064,0.00010886098,0.0000038567027,0.00036339415,0.000011453182,0.000099749464,0.000052267118,0.00047003818],"category_scores_gemma":[0.00019661356,0.000054023476,0.00001890278,0.0003455409,0.0002383142,0.00024243498,0.00014604983,0.00011221071,0.0003347801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010109472,0.0002107834,0.9312332,0.0000698272,0.0000068029804,1.806211e-7,0.0041775303,0.0015267661,0.0019731356,0.0020054518,0.020052252,0.038642973],"study_design_scores_gemma":[0.00034759848,0.00018744818,0.861277,0.00001886303,0.000003127509,9.779852e-7,0.00062550383,0.13238788,0.0010325467,0.00041811276,0.0036399318,0.00006102367],"about_ca_topic_score_codex":0.0010111752,"about_ca_topic_score_gemma":0.00041073054,"teacher_disagreement_score":0.13086112,"about_ca_system_score_codex":0.00025953056,"about_ca_system_score_gemma":0.000018154346,"threshold_uncertainty_score":0.51465887},"labels":[],"label_agreement":null},{"id":"W2158144825","doi":"10.5094/apr.2010.022","title":"A captured episode of γ-hexachlorocyclohexane air pollution in the Toronto area after the Canadian lindane ban","year":2010,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Trent University","funders":"","keywords":"Lindane; Environmental science; Air pollution; Hexachlorocyclohexane; Pollution; Downtown; Pesticide; Pollutant; Organochlorine pesticide; Persistent organic pollutant; Environmental protection; Geography; Environmental chemistry; Archaeology; Ecology; Chemistry","score_opus":0.01643855073260044,"score_gpt":0.28015993963693847,"score_spread":0.26372138890433805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158144825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573405,0.00036258352,0.00006745597,0.024873624,0.00032697772,0.0010043303,0.000113201946,0.000028340903,0.015883014],"genre_scores_gemma":[0.9968177,0.000030733958,0.0002995181,0.0016311428,0.00011469564,0.000071518836,0.0000019787296,0.000028026765,0.0010046796],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9959799,0.00059998856,0.00040113527,0.0004281848,0.0013985992,0.0011921664],"domain_scores_gemma":[0.9983076,0.00016540643,0.00009784256,0.0010637522,0.000015985033,0.00034945097],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033640035,0.0002279065,0.00021317993,0.000016681253,0.00051843957,0.00006477398,0.0011784146,0.00026612284,0.0073131225],"category_scores_gemma":[0.000563655,0.00014142803,0.000091263966,0.001250201,0.0011455986,0.00034676451,0.00019731944,0.0010857865,0.00024058655],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020698057,0.0020686875,0.16262229,0.000059681865,0.00027614203,0.0005821739,0.05517806,0.005706355,0.26024616,0.0023540584,0.07881155,0.43002504],"study_design_scores_gemma":[0.00039428234,0.00011088947,0.9558534,0.000011980259,0.000009345072,0.00006972677,0.0010252256,0.0014289627,0.0008539969,0.00039529504,0.03966021,0.00018670989],"about_ca_topic_score_codex":0.6967885,"about_ca_topic_score_gemma":0.96871585,"teacher_disagreement_score":0.79323107,"about_ca_system_score_codex":0.0016580732,"about_ca_system_score_gemma":0.00036700812,"threshold_uncertainty_score":0.99359435},"labels":[],"label_agreement":null},{"id":"W2192443984","doi":"10.1016/j.apr.2015.08.007","title":"Modelling PUF passive air samplers: Temperature dependence of polyurethane foam – Air partitioning of PAHs and their O-, N-, and S-derivatives computed by COSMO-RS","year":2015,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Trent University","funders":"Clean Air Regulatory Agenda","keywords":"Toluene; Polyurethane; Ethylene oxide; Chemistry; Styrene; Volatility (finance); Polymer; Analytical Chemistry (journal); Thermodynamics; Materials science; Organic chemistry; Chemical engineering; Copolymer","score_opus":0.04082716804073628,"score_gpt":0.28964625854428466,"score_spread":0.2488190905035484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192443984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815414,0.001301584,0.015262212,0.0010243075,0.00004407863,0.00035221575,0.00020789164,0.000037351358,0.00022894256],"genre_scores_gemma":[0.99401766,0.00018527982,0.0055316836,0.000093729286,0.000021444723,0.0000071843433,0.0000050794,0.000022706701,0.000115244504],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99752766,0.00043585346,0.0003465179,0.00042319563,0.00072250207,0.0005442947],"domain_scores_gemma":[0.99886,0.00027260155,0.0001746619,0.00029802916,0.00003972594,0.00035496347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010864426,0.00020463073,0.00031936116,0.000015681586,0.00019898293,0.000027328793,0.00025999232,0.00015606947,0.00011209159],"category_scores_gemma":[0.00035189337,0.00017038599,0.00003461558,0.00086759985,0.0012369463,0.00041718569,0.00032727505,0.00035979046,0.0000069895923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005319367,0.000477083,0.01587461,0.00008424752,0.00022392713,0.000016784603,0.012869677,0.04813045,0.84270823,0.00034807553,0.00820009,0.07053488],"study_design_scores_gemma":[0.004905359,0.0022608123,0.1882313,0.0005254631,0.00005012036,0.00017100769,0.02000175,0.35254702,0.41731372,0.010621795,0.0020710232,0.0013006233],"about_ca_topic_score_codex":0.0014668037,"about_ca_topic_score_gemma":0.000048947437,"teacher_disagreement_score":0.42539454,"about_ca_system_score_codex":0.00021613647,"about_ca_system_score_gemma":0.0001236951,"threshold_uncertainty_score":0.6948139},"labels":[],"label_agreement":null},{"id":"W2548531677","doi":"10.1016/j.apr.2016.10.009","title":"Evaluation of PM surface concentrations simulated by Version 1 of NASA's MERRA Aerosol Reanalysis over Europe","year":2016,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Sulfate; Aerosol; Environmental science; Sea salt; Carbon black; Total organic carbon; Particulates; Carbon fibers; Environmental chemistry; Atmospheric sciences; Climatology; Meteorology; Chemistry; Geology; Geography","score_opus":0.042325789179210815,"score_gpt":0.31467562016427386,"score_spread":0.27234983098506305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548531677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914294,0.00074811326,0.0006099006,0.00039052177,0.00007096168,0.0002695548,0.0002023437,0.000023482471,0.00625571],"genre_scores_gemma":[0.99765545,0.00028527464,0.00043984092,0.000015540149,0.00003009707,8.953651e-7,0.00008071335,0.0000058800165,0.0014863361],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99605054,0.0007399473,0.000435667,0.0003448847,0.0020291046,0.00039987252],"domain_scores_gemma":[0.9977524,0.00039629525,0.00021313551,0.00039618366,0.0010871826,0.00015480447],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002701073,0.00013674679,0.00024162736,0.0000032038422,0.00020502464,0.000020037372,0.00028778883,0.00011473477,0.013068366],"category_scores_gemma":[0.0007992549,0.00009879032,0.00008855522,0.00142522,0.00042684327,0.00026732968,0.00002981821,0.00013934747,0.00011580027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032519366,0.00021127239,0.14574584,0.00004491044,0.00030755234,0.000002649142,0.00021681077,0.107454956,0.6971065,0.000038917373,0.016302338,0.03224306],"study_design_scores_gemma":[0.0054310765,0.00078517676,0.20885745,0.00029829383,0.00044425062,0.00000504059,0.0007257075,0.45760378,0.31727922,0.00035298857,0.0074801687,0.0007368624],"about_ca_topic_score_codex":0.0026935881,"about_ca_topic_score_gemma":0.00011114668,"teacher_disagreement_score":0.37982726,"about_ca_system_score_codex":0.000050229875,"about_ca_system_score_gemma":0.00036808045,"threshold_uncertainty_score":0.9878338},"labels":[],"label_agreement":null},{"id":"W2738467485","doi":"10.1016/j.apr.2017.07.003","title":"Characterization of air quality and fine particulate matter sources in the town of Hinton, Alberta","year":2017,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"National Oceanic and Atmospheric Administration","keywords":"Particulates; Air quality index; Environmental science; Aerosol; Air pollution; Pollution; Pollutant; Toxicology; Atmospheric sciences; Meteorology; Geography; Physics; Biology; Ecology","score_opus":0.08640628939413016,"score_gpt":0.3896267639007717,"score_spread":0.3032204745066416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738467485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725298,0.000015626085,0.0000866304,0.025423653,0.000016841765,0.00021904525,0.000004886244,0.0000020280893,0.0017014366],"genre_scores_gemma":[0.9984835,0.00003449421,0.00014971867,0.0005531077,0.000012875533,0.000010519679,0.0000025094655,0.0000035723256,0.0007497321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984416,0.00042342514,0.00030067205,0.00014822987,0.00042349735,0.00026262138],"domain_scores_gemma":[0.9991939,0.00013801217,0.00018728389,0.000399288,0.000017900615,0.00006362733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025937634,0.00005781493,0.00013493848,0.0000037549125,0.000274344,0.000022522494,0.0002680505,0.000053624633,0.0008435691],"category_scores_gemma":[0.00035916074,0.000040290484,0.000019452946,0.00015593898,0.000642993,0.00022739488,0.00016982162,0.0001330947,0.000042510568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009404209,0.00014869918,0.96439016,0.00008412731,0.000005776613,8.553892e-7,0.005310174,0.00011988987,0.018938074,0.0005647551,0.00085773313,0.009485738],"study_design_scores_gemma":[0.00019172316,0.000059431728,0.9947518,0.000020981506,0.0000016656629,8.837653e-7,0.0001448537,0.0009719808,0.0015122192,0.0004975833,0.0018040674,0.00004279206],"about_ca_topic_score_codex":0.029641155,"about_ca_topic_score_gemma":0.0023308238,"teacher_disagreement_score":0.030361682,"about_ca_system_score_codex":0.000045053763,"about_ca_system_score_gemma":0.000021075519,"threshold_uncertainty_score":0.9768205},"labels":[],"label_agreement":null},{"id":"W2771308635","doi":"10.1016/j.apr.2017.11.014","title":"Characterization of air quality and sources of fine particulate matter (PM2.5) in the City of Calgary, Canada","year":2017,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"National Oceanic and Atmospheric Administration; Alberta Environment and Parks","keywords":"Air quality index; Particulates; Environmental science; Aerosol; Air pollution; Criteria air contaminants; Geography; Pollution; Air pollutants; Physical geography; Meteorology","score_opus":0.08530119289871362,"score_gpt":0.3693872606646975,"score_spread":0.2840860677659839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771308635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99045396,0.000015824764,0.00012262183,0.008578441,0.00001645452,0.00020567034,0.000014235118,0.0000012604639,0.00059151795],"genre_scores_gemma":[0.9993418,0.000020621525,0.00016744758,0.0003140922,0.000006791833,0.000006188254,0.0000022394001,0.000002763691,0.00013807711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983086,0.00043248243,0.00033500808,0.00012286248,0.0005612759,0.000239745],"domain_scores_gemma":[0.99922067,0.000105962565,0.0002383361,0.00034396484,0.000025206535,0.00006588758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022956093,0.00005294265,0.00015622025,0.000003186834,0.00019448707,0.000008019059,0.00024564998,0.000041862506,0.00033971702],"category_scores_gemma":[0.0002569133,0.00003863505,0.000015602414,0.00015895953,0.00061794283,0.0001251198,0.00014687938,0.00012670307,0.000003109602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060902305,0.00006942017,0.9870224,0.0000955681,0.0000039855563,0.0000010890486,0.0009962091,0.000068416266,0.00737611,0.00017921257,0.00022686468,0.0038997992],"study_design_scores_gemma":[0.00018120324,0.00004875076,0.99491197,0.000022149326,0.0000016906023,7.336117e-7,0.00010896998,0.0007839391,0.0033123046,0.00017999382,0.00041206816,0.000036227506],"about_ca_topic_score_codex":0.77855796,"about_ca_topic_score_gemma":0.29904422,"teacher_disagreement_score":0.47951376,"about_ca_system_score_codex":0.00008164929,"about_ca_system_score_gemma":0.000108808636,"threshold_uncertainty_score":0.71374637},"labels":[],"label_agreement":null},{"id":"W2779231952","doi":"10.1016/j.apr.2017.12.005","title":"Comparison of chemical suppressants under different atmospheric temperatures for the control of fugitive dust emission on mine hauls roads","year":2017,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Chloride; Environmental chemistry; Salt (chemistry); Salt solution; Chemical agents; Environmental engineering; Atmospheric dust; Chemistry; Aerosol","score_opus":0.06491947000469195,"score_gpt":0.35875349729485195,"score_spread":0.29383402729016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779231952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98584545,0.0017692681,0.009883342,0.0008073542,0.00025647396,0.0008271165,0.00006107797,0.000041176387,0.0005087465],"genre_scores_gemma":[0.9990237,0.00011777967,0.00015452891,0.000022272405,0.00010348547,0.0000766252,0.000011735427,0.000030714735,0.0004591688],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984488,0.00008030763,0.00035750945,0.00021023345,0.0005282332,0.0003749525],"domain_scores_gemma":[0.99865746,0.00033085552,0.00011120257,0.0005512208,0.0002626649,0.000086597145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033035385,0.00017102358,0.00035135727,0.0000039124943,0.00034347468,0.00005931757,0.00043984936,0.00013426192,0.0001032114],"category_scores_gemma":[0.000348507,0.000109291046,0.00011155894,0.00013546056,0.0003815778,0.000104927974,0.00009273513,0.00029154925,0.0000025435722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028123271,0.0009323873,0.022382181,0.0006962471,0.0005939393,0.000002205091,0.0010808359,0.11288482,0.77866477,0.0033822898,0.026670566,0.049897425],"study_design_scores_gemma":[0.0016022767,0.00036639886,0.07624773,0.00017847914,0.000036536396,8.7587745e-7,0.00064512336,0.74548525,0.17350975,0.00016293167,0.0015942694,0.00017038279],"about_ca_topic_score_codex":0.00015164985,"about_ca_topic_score_gemma":0.0000101028845,"teacher_disagreement_score":0.6326004,"about_ca_system_score_codex":0.000107162734,"about_ca_system_score_gemma":0.000038668102,"threshold_uncertainty_score":0.44567594},"labels":[],"label_agreement":null},{"id":"W2790602267","doi":"10.1016/j.apr.2018.01.004","title":"A study of meteorological effects on PM2.5 concentration in mining area","year":2018,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Oceanic and Atmospheric Administration","keywords":"Atmospheric instability; Environmental science; Atmosphere (unit); Atmospheric sciences; Planetary boundary layer; Wind speed; Dilution; Dispersion (optics); Pollutant; Flux (metallurgy); Atmospheric dispersion modeling; Diurnal cycle; Stability (learning theory); Meteorology; Air pollution; Materials science; Chemistry; Geology; Geography","score_opus":0.129209343186807,"score_gpt":0.41127976949129724,"score_spread":0.28207042630449025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790602267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99268353,0.000015214809,0.00016495981,0.00095171446,0.00006714086,0.0006760535,6.935754e-7,0.000016658449,0.005424008],"genre_scores_gemma":[0.9981915,0.000007421007,0.0009457198,0.0006136513,0.00004354526,0.000039061688,6.755454e-7,0.0000052843748,0.0001531371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99744827,0.00091887073,0.00025549147,0.0002725289,0.0006223418,0.00048251144],"domain_scores_gemma":[0.99924093,0.00032471126,0.000060727216,0.0002119624,0.00002192098,0.00013972406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002144506,0.00008059039,0.00015591159,0.000006944918,0.00019298923,0.000012076587,0.00016649773,0.00008340886,0.0007000685],"category_scores_gemma":[0.0006563067,0.00006681061,0.000017233824,0.0008731424,0.00033644275,0.00010670767,0.00010687058,0.00022194609,0.00017953735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002519471,0.005665515,0.71794224,0.000094266725,0.00004493611,0.00009419563,0.03982472,0.003994016,0.011746108,0.0012364935,0.01955127,0.19728677],"study_design_scores_gemma":[0.0012283663,0.007092229,0.9777561,0.000032981046,0.0000027352728,0.0000013591845,0.0020367454,0.009557109,0.001169967,0.0002876755,0.0007443814,0.00009037135],"about_ca_topic_score_codex":0.0016960023,"about_ca_topic_score_gemma":0.0008476664,"teacher_disagreement_score":0.25981385,"about_ca_system_score_codex":0.00031468298,"about_ca_system_score_gemma":0.000039544393,"threshold_uncertainty_score":0.76652586},"labels":[],"label_agreement":null},{"id":"W2908510425","doi":"10.1016/j.apr.2018.12.018","title":"Estimating stomatal conductance and partitioning total ozone uptake over a winter wheat field","year":2019,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Ozone; Stomatal conductance; Eddy covariance; Transpiration; Environmental science; Atmospheric sciences; Growing season; Flux (metallurgy); Canopy; Chemistry; Agronomy; Photosynthesis; Botany; Ecosystem; Ecology; Biology","score_opus":0.028429783335102394,"score_gpt":0.2884716671105352,"score_spread":0.2600418837754328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908510425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995995,0.0002918467,0.000022164259,0.0014489956,0.00012919786,0.00024503522,0.000021162568,0.000071089424,0.001775536],"genre_scores_gemma":[0.99514776,0.000017568764,0.0009950708,0.00021658282,0.00013003596,0.000020403511,0.0000133805015,0.0000014622657,0.0034577316],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983192,0.00016332437,0.00017805607,0.00033585398,0.0005148136,0.0004887413],"domain_scores_gemma":[0.9992256,0.00043250597,0.000042404714,0.00008032489,0.000100222074,0.00011889839],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063019304,0.00011101024,0.00014033448,0.0000027684655,0.00027427456,0.00013117766,0.00014700014,0.000098715325,0.0023383254],"category_scores_gemma":[0.0002778661,0.000052170635,0.000038161685,0.00044117618,0.00008706094,0.0002560407,0.00013683664,0.00029971288,0.00023202479],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042869878,0.000084818195,0.02343915,0.000026902253,0.00003765187,0.00004045063,0.00022916027,0.00016684536,0.88593405,0.0007033008,0.007226668,0.08168229],"study_design_scores_gemma":[0.00089484785,0.0015165512,0.90065515,0.00027867986,0.000011136526,0.0002718763,0.00093752134,0.06501836,0.00418867,0.00076477387,0.024888903,0.00057351356],"about_ca_topic_score_codex":0.00061862706,"about_ca_topic_score_gemma":0.00019048128,"teacher_disagreement_score":0.8817454,"about_ca_system_score_codex":0.00009148595,"about_ca_system_score_gemma":0.000036737958,"threshold_uncertainty_score":0.99857366},"labels":[],"label_agreement":null},{"id":"W2996118742","doi":"10.1016/j.apr.2019.12.003","title":"Mapping the geospatial distribution of atmospheric BTEX compounds using portable mass spectrometry and adaptive whole air sampling","year":2019,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria; Vancouver Island University","funders":"Natural Sciences and Engineering Research Council of Canada; Vancouver Island University; University of Victoria","keywords":"BTEX; Environmental science; Sampling (signal processing); Ethylbenzene; Air monitoring; Environmental chemistry; Sample (material); Remote sensing; Toluene; Chemistry; Environmental engineering; Chromatography; Computer science; Geography","score_opus":0.05192131398562191,"score_gpt":0.2790688513017455,"score_spread":0.2271475373161236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996118742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96974236,0.0014183172,0.025664583,0.00025955506,0.00019712465,0.00044266833,0.000089609704,0.000039946903,0.0021458087],"genre_scores_gemma":[0.98035,0.00008754283,0.01845132,0.00005056132,0.00015974586,0.000003001985,0.00010147907,0.000010370943,0.000785954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972093,0.00023644729,0.00043003852,0.0004948,0.0008363011,0.0007931203],"domain_scores_gemma":[0.9986542,0.00036565974,0.00021354115,0.0004099178,0.00018130941,0.00017540377],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012803347,0.000229594,0.00034644725,0.0000025037668,0.0006332783,0.000086987486,0.00037899276,0.00015137128,0.0011499112],"category_scores_gemma":[0.00010149592,0.00017954865,0.00009582532,0.0017091617,0.000478354,0.00031949577,0.000082213,0.00054463075,0.000077925375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004962441,0.00013610371,0.7596962,0.00023657657,0.00027020145,0.000023387594,0.0007981461,0.13234292,0.08387409,0.0005246941,0.0009318171,0.020669628],"study_design_scores_gemma":[0.0006895432,0.00030767432,0.6791327,0.000121103265,0.000020653337,0.000042064235,0.005330584,0.30810073,0.0011547129,0.0010581274,0.0036668144,0.00037532827],"about_ca_topic_score_codex":0.005375437,"about_ca_topic_score_gemma":0.000090654925,"teacher_disagreement_score":0.17575781,"about_ca_system_score_codex":0.00007811672,"about_ca_system_score_gemma":0.00023586866,"threshold_uncertainty_score":0.9997632},"labels":[],"label_agreement":null},{"id":"W3088128635","doi":"10.1016/j.apr.2020.09.014","title":"Acid wet-deposition modeling sensitivity to WRF-CMAQ planetary boundary layer schemes and exceedance of critical loads over an industrializing coastal valley in northwestern British Columbia, Canada","year":2020,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weather Research and Forecasting Model; Deposition (geology); Environmental science; CMAQ; Temperate climate; Planetary boundary layer; Critical load; Hydrology (agriculture); Atmospheric sciences; Meteorology; Air quality index; Geography; Geology; Ecology; Engineering; Geomorphology; Geotechnical engineering","score_opus":0.04680098756689397,"score_gpt":0.2789973329215721,"score_spread":0.23219634535467812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088128635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99697626,0.00046301194,0.000992442,0.00070290733,0.00008803515,0.00025682067,0.0003184885,0.000027524216,0.00017448582],"genre_scores_gemma":[0.9971041,0.00004142222,0.0020079592,0.000485152,0.00018421553,0.0000023736236,0.00011875149,0.000009268009,0.000046738245],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973397,0.00032144232,0.00039100923,0.00053513,0.0007912907,0.0006214004],"domain_scores_gemma":[0.9989486,0.00017016675,0.00005071763,0.000167676,0.00012071098,0.0005421676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006163902,0.00014765044,0.0003105814,0.000002258897,0.00033707355,0.00027993234,0.00016548244,0.00015342323,0.00046578955],"category_scores_gemma":[0.00026131718,0.00021047721,0.00003224073,0.0005196549,0.00024480166,0.00044033222,0.00007712505,0.00055156025,0.000004517693],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039652106,0.000100301375,0.9203285,0.00023763339,0.000032804306,0.0006849001,0.00053192856,0.03754993,0.010097113,0.000003287395,0.0008979921,0.029139096],"study_design_scores_gemma":[0.0010295673,0.00046073904,0.48378807,0.00020419173,0.000016126867,0.0001204833,0.001682179,0.5108664,0.00067854143,0.00006196585,0.00057876087,0.00051295705],"about_ca_topic_score_codex":0.9545471,"about_ca_topic_score_gemma":0.97435725,"teacher_disagreement_score":0.4733165,"about_ca_system_score_codex":0.000041124065,"about_ca_system_score_gemma":0.0007440655,"threshold_uncertainty_score":0.85830116},"labels":[],"label_agreement":null},{"id":"W3093588326","doi":"10.1016/j.apr.2020.10.016","title":"Dependence of pollutant emission factors and fuel consumption on driving conditions and gasoline vehicle types","year":2020,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"China Scholarship Council; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"NOx; Fuel efficiency; Gasoline; Pollutant; Combustion; Environmental science; Nitrogen oxide; Automotive engineering; Carbon monoxide; Exhaust gas; Thrust specific fuel consumption; Fuel injection; Cold start (automotive); Chemistry; Waste management; Catalysis; Engineering","score_opus":0.04399043953756709,"score_gpt":0.30886161286832553,"score_spread":0.26487117333075844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093588326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976095,0.0010194114,0.00029610965,0.00040086283,0.000038072478,0.0001290344,0.000021916421,0.000074637916,0.00041046177],"genre_scores_gemma":[0.99751467,0.0020107378,0.00031634248,0.000033985223,0.000036442005,0.00000516731,0.0000041943363,0.000014937154,0.00006351412],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909186,0.000051755156,0.00017353322,0.00017328943,0.00026780448,0.00024177408],"domain_scores_gemma":[0.9994819,0.00011174972,0.000024932824,0.00011044368,0.000048338705,0.0002226467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018773167,0.00010435576,0.0001379888,0.000013696653,0.00016757463,0.000024734632,0.00007537495,0.00007748555,0.0001773254],"category_scores_gemma":[0.000111699796,0.000088579785,0.000019339599,0.00030084676,0.00013668754,0.00012999939,0.000055995883,0.00028100447,0.0000146780385],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013162923,0.00009069784,0.27742875,0.000885804,0.00008260674,0.000015075838,0.0021757812,0.012008631,0.679381,0.0013835311,0.0020236473,0.02439286],"study_design_scores_gemma":[0.00058008754,0.00031215572,0.46425182,0.00024797555,0.000011634388,0.00000803542,0.00041584927,0.5091418,0.022661258,0.00015971405,0.0019876617,0.00022197387],"about_ca_topic_score_codex":0.000034063738,"about_ca_topic_score_gemma":0.0000050805515,"teacher_disagreement_score":0.65671974,"about_ca_system_score_codex":0.000036023535,"about_ca_system_score_gemma":0.000027731901,"threshold_uncertainty_score":0.3612179},"labels":[],"label_agreement":null},{"id":"W3096196480","doi":"10.1016/j.apr.2020.10.019","title":"A first look at atmospheric concentrations and temporal trends of phthalates in distinct urban sectors of the Greater Toronto Area","year":2020,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Chugoku Marine Paints","keywords":"Environmental chemistry; Volatilisation; Chemistry; Polybrominated diphenyl ethers; Phthalate; Organophosphate; Environmental science; Particulates; Atmospheric sciences; Pesticide; Pollutant; Organic chemistry","score_opus":0.025466292665605066,"score_gpt":0.3227330770857298,"score_spread":0.2972667844201247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096196480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99486554,0.00029976745,0.00000826554,0.0009523715,0.000022488615,0.00020280763,0.000015523394,0.000011744731,0.003621511],"genre_scores_gemma":[0.99877334,0.000040321585,0.00034172475,0.000033961034,0.000016712944,0.000017207274,0.0000037135812,0.00001119873,0.000761808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985593,0.00013409274,0.0002769397,0.00028602494,0.00041331284,0.0003303124],"domain_scores_gemma":[0.9994236,0.000124704,0.0000956235,0.00021420604,0.000017707136,0.00012414489],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022896753,0.00012091536,0.00019763944,0.0000011371128,0.0001484265,0.000012538528,0.00023804992,0.000050661383,0.0018841146],"category_scores_gemma":[0.00016260915,0.00008016946,0.00006717386,0.00060851395,0.00063108705,0.000112186404,0.0003573721,0.00013836047,0.00000739659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006354587,0.00006488258,0.9859535,0.00003186813,0.000011125564,0.0000036352844,0.0011008226,0.0006460451,0.009198024,0.00001967085,0.0022820558,0.0006248244],"study_design_scores_gemma":[0.0005570372,0.00021798493,0.9780551,0.000046075944,0.00000932679,0.0000037623643,0.00032343066,0.014110253,0.004576632,0.000022114082,0.0019594587,0.00011882312],"about_ca_topic_score_codex":0.009874265,"about_ca_topic_score_gemma":0.0033439228,"teacher_disagreement_score":0.013464209,"about_ca_system_score_codex":0.00024895402,"about_ca_system_score_gemma":0.000018946119,"threshold_uncertainty_score":0.9990283},"labels":[],"label_agreement":null},{"id":"W3157098704","doi":"10.1016/j.apr.2021.101057","title":"The relationship between Brown haze, atmospheric boundary layer structure, and air pollution in an urban area of complex coastal terrain","year":2021,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Auckland Council","keywords":"Haze; Environmental science; Daytime; Air quality index; Planetary boundary layer; Air pollution; Atmospheric sciences; Ceilometer; Pollution; Climatology; Meteorology; Aerosol; Geography; Chemistry; Geology; Ecology","score_opus":0.07433440171713004,"score_gpt":0.312881270472794,"score_spread":0.23854686875566397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157098704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334407,0.0015952677,0.0003237225,0.002280676,0.00009929251,0.00027922788,0.0002409269,0.000039183964,0.0017976192],"genre_scores_gemma":[0.9947143,0.00006276415,0.0031574825,0.00018202161,0.00016179922,0.0000045810584,0.00031764692,0.000012160717,0.0013872044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99655205,0.00074950745,0.00055619713,0.00054436893,0.0008347148,0.00076317205],"domain_scores_gemma":[0.9981132,0.0007552388,0.00015133523,0.00050498015,0.00019203125,0.00028319765],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00111946,0.00023744733,0.000324497,0.0000033014037,0.0010224779,0.00016939302,0.00037882652,0.00021474443,0.0009859216],"category_scores_gemma":[0.0005813921,0.00019260013,0.0000731777,0.0016476678,0.0009954259,0.00042609323,0.000094692754,0.0006933877,0.000013891995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009689148,0.00003529434,0.9814434,0.000035957954,0.000022357388,0.000019528,0.00040874063,0.0019641249,0.0013868839,0.00016764055,0.0015494172,0.012869785],"study_design_scores_gemma":[0.0005409718,0.00015088926,0.9819885,0.000040317314,0.0000102037575,0.000025334375,0.0013993027,0.005828278,0.00037923918,0.0020882224,0.0073365495,0.00021222487],"about_ca_topic_score_codex":0.0020591025,"about_ca_topic_score_gemma":0.006322592,"teacher_disagreement_score":0.01265756,"about_ca_system_score_codex":0.00004786014,"about_ca_system_score_gemma":0.00051268475,"threshold_uncertainty_score":0.99992734},"labels":[],"label_agreement":null},{"id":"W3164875279","doi":"10.1016/j.apr.2021.101094","title":"Spatiotemporal variability of fugitive gas migration emissions around a petroleum well","year":2021,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Environmental science; Wellhead; Methane; Greenhouse gas; Diel vertical migration; Spatial variability; Soil gas; Natural gas; Atmospheric sciences; Fossil fuel; Soil science; Hydrology (agriculture); Chemistry; Geology; Soil water; Petroleum engineering","score_opus":0.018646334079621334,"score_gpt":0.2816037318381398,"score_spread":0.26295739775851845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164875279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94381815,0.000067206056,0.032875266,0.0012946625,0.000099243254,0.00023021612,0.000008611001,0.000034681958,0.021571979],"genre_scores_gemma":[0.966014,0.00017280239,0.026508816,0.00009506551,0.00004405643,0.000029746609,0.00002267904,0.000021071739,0.007091742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969029,0.0005930436,0.00039932723,0.0005515975,0.0010146308,0.0005385322],"domain_scores_gemma":[0.99890935,0.00015555705,0.00012034473,0.0005363727,0.000045493467,0.00023286435],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011327354,0.00017580726,0.00023055029,0.000002854259,0.0003262005,0.000031773852,0.00025096975,0.0001530722,0.005782563],"category_scores_gemma":[0.00025432394,0.0001710585,0.000116130075,0.00092650927,0.00079161895,0.00026335087,0.00042285907,0.00037646157,0.00033130727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019795942,0.0015666174,0.77055234,0.000053129515,0.000079588244,0.00006463937,0.0010082758,0.15543605,0.041400854,0.0015734164,0.004851339,0.023215804],"study_design_scores_gemma":[0.0009784598,0.00038432263,0.6606561,0.00005129486,0.00003731719,0.000038172486,0.003853454,0.2825371,0.004693529,0.006768427,0.039487116,0.00051469303],"about_ca_topic_score_codex":0.0023426667,"about_ca_topic_score_gemma":0.00023374111,"teacher_disagreement_score":0.12710106,"about_ca_system_score_codex":0.0007991096,"about_ca_system_score_gemma":0.000120662306,"threshold_uncertainty_score":0.9951263},"labels":[],"label_agreement":null},{"id":"W3198937768","doi":"10.1016/j.apr.2021.101198","title":"Exposure to urban air pollution and emergency department visits for diseases of the ear and mastoid processes","year":2021,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; McGill University Health Centre; Montreal Children's Hospital; Health Canada","funders":"Environment and Climate Change Canada","keywords":"Air pollution; Emergency department; Medicine; Poisson regression; Air pollutant concentrations; Environmental health; Ozone; Pollutant; Air pollutants; Nitrogen dioxide; Environmental science; Meteorology; Population; Geography","score_opus":0.04041597194803989,"score_gpt":0.3445336560917144,"score_spread":0.30411768414367446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198937768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97646636,0.002439477,0.0010380887,0.01890982,0.00007560786,0.0007606543,0.00008818249,0.000015329024,0.00020647496],"genre_scores_gemma":[0.99546206,0.0004159254,0.0017731399,0.00082027656,0.00004212273,0.00007647635,0.000003785473,0.000008893831,0.0013973266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984378,0.00020354871,0.00020888184,0.0002860336,0.00047582207,0.0003878876],"domain_scores_gemma":[0.9993355,0.00006518616,0.000052245035,0.00021020156,0.00006874665,0.0002680745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004853824,0.0000877746,0.00011989707,0.000004285942,0.00049117545,0.000014608326,0.00011476425,0.00005155052,0.00024877628],"category_scores_gemma":[0.0006477325,0.00006735331,0.000027695613,0.0007357938,0.00017003798,0.00013520778,0.00026428577,0.00008935782,0.000011670962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007752881,0.0010493178,0.70061564,0.001875799,0.0000808337,0.000008168111,0.00699996,0.003785921,0.010499607,0.003179386,0.15906297,0.11206713],"study_design_scores_gemma":[0.00028733182,0.00035413797,0.96579355,0.000037704154,0.000010163022,0.0000036434008,0.0005155777,0.0002897293,0.0016586902,0.0008865436,0.030071193,0.000091735565],"about_ca_topic_score_codex":0.00022326327,"about_ca_topic_score_gemma":0.00032609518,"teacher_disagreement_score":0.26517794,"about_ca_system_score_codex":0.00012651195,"about_ca_system_score_gemma":0.0001506187,"threshold_uncertainty_score":0.37777743},"labels":[],"label_agreement":null},{"id":"W3207691721","doi":"10.1016/j.apr.2021.101223","title":"Towards quantifying subsurface methane emissions from energy wells with integrity failure","year":2021,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Greenhouse gas; Fugitive emissions; Environmental science; Methane; Soil gas; Groundwater; Eddy covariance; Environmental engineering; Soil water; Soil science; Ecosystem; Geology; Chemistry; Geotechnical engineering; Ecology","score_opus":0.042881093062824144,"score_gpt":0.30604649795281685,"score_spread":0.26316540488999274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207691721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89651346,0.0005877417,0.08871076,0.0035863249,0.0001325959,0.00018026013,0.000017397422,0.00011057517,0.010160878],"genre_scores_gemma":[0.8446029,0.00043285894,0.14612089,0.00037802284,0.000052500567,0.000028779594,0.000032046082,0.000044838955,0.008307161],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99603873,0.00053491694,0.00030702807,0.00084540655,0.0013920137,0.0008819008],"domain_scores_gemma":[0.9985848,0.00014322462,0.00008352496,0.0007046933,0.000038171158,0.0004455637],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061270455,0.00028749535,0.0003059701,0.0000027566057,0.00047604222,0.000084853775,0.0004740924,0.00023973023,0.011420504],"category_scores_gemma":[0.00012204766,0.00023858304,0.00010314226,0.0014614412,0.0007280488,0.00030804766,0.0007138684,0.00082511915,0.00045343835],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065453845,0.0020482128,0.3329232,0.00004935266,0.0005129953,0.0012467767,0.002536197,0.23855588,0.19727027,0.0042638998,0.027183034,0.19275562],"study_design_scores_gemma":[0.0027463895,0.00060955563,0.40465996,0.00021441995,0.00012328598,0.00016266109,0.013496724,0.12069604,0.03291098,0.0051084175,0.41733342,0.0019381593],"about_ca_topic_score_codex":0.022062464,"about_ca_topic_score_gemma":0.0018898023,"teacher_disagreement_score":0.3901504,"about_ca_system_score_codex":0.0008145458,"about_ca_system_score_gemma":0.00017477124,"threshold_uncertainty_score":0.9894832},"labels":[],"label_agreement":null},{"id":"W3216596856","doi":"10.1016/j.apr.2021.101271","title":"Biofiltration of methane in presence of ethylbenzene or xylene","year":2021,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biofilter; Ethylbenzene; Volatile organic compound; Chemistry; Environmental chemistry; Methane; Biodegradation; Xylene; Toluene; Environmental science; Environmental engineering; Organic chemistry","score_opus":0.07059489790053024,"score_gpt":0.363959185248965,"score_spread":0.2933642873484347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216596856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878136,0.0019169449,0.0059589515,0.0014421068,0.00008366716,0.00018188753,0.000011234533,0.000081294806,0.0025103155],"genre_scores_gemma":[0.99108696,0.00039413778,0.0068102735,0.000008902633,0.000019211559,0.000019664027,0.0000033035392,0.0000098614055,0.0016477095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985163,0.0001330256,0.00036152414,0.00020823466,0.00047759598,0.00030327443],"domain_scores_gemma":[0.9988526,0.00041475956,0.000057497815,0.0003434178,0.00028031162,0.00005142611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070164766,0.0000800965,0.00024019739,0.000024263905,0.000019708325,0.000005620315,0.00022828099,0.00016648932,0.0005273289],"category_scores_gemma":[0.0038341382,0.0000664457,0.000050332033,0.001693625,0.00012185734,0.00008632715,0.00013337978,0.00031775294,0.000006959348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010794873,0.00009515054,0.00054946076,0.00009149768,0.000014294811,0.000012707756,0.00007762419,0.0020850678,0.9721014,0.0017500921,0.00016916779,0.022945628],"study_design_scores_gemma":[0.0005309098,0.000081547914,0.0029758145,0.000106277075,0.0000034884588,0.0000034977725,0.0005704796,0.024617875,0.969838,0.0005687226,0.0006308108,0.00007252971],"about_ca_topic_score_codex":0.0005300428,"about_ca_topic_score_gemma":0.00007393689,"teacher_disagreement_score":0.022873098,"about_ca_system_score_codex":0.000067278954,"about_ca_system_score_gemma":0.0002008238,"threshold_uncertainty_score":0.57738817},"labels":[],"label_agreement":null},{"id":"W4293222138","doi":"10.1016/j.apr.2022.101519","title":"The impact of land-sea breezes on the formation of Brown haze in an urban isthmus environment","year":2022,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Auckland Council","keywords":"Haze; Sea breeze; Environmental science; Air quality index; Pollution; Air pollution; Climatology; Atmospheric sciences; Meteorology; Geography; Geology","score_opus":0.07789835876612423,"score_gpt":0.36471597885351087,"score_spread":0.28681762008738665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293222138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910033,0.000109324064,0.00009719581,0.006218978,0.000022587104,0.00050105853,0.0000314235,0.0000066921416,0.002009464],"genre_scores_gemma":[0.99920917,0.000092004426,0.00008150959,0.00021327141,0.000013772876,0.00006269804,0.0000059226104,0.000007075629,0.0003145731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968884,0.001196959,0.0003157009,0.00015388701,0.0010151372,0.00042991477],"domain_scores_gemma":[0.99907446,0.00027183836,0.00013234866,0.00041299197,0.000008892592,0.00009947104],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038911323,0.000079549674,0.00011222175,0.000007795557,0.0006886399,0.000016734031,0.00041435275,0.000034393222,0.0018910334],"category_scores_gemma":[0.00012130895,0.000047089645,0.00005634297,0.0005422005,0.0004222907,0.00016521811,0.00025068046,0.00037006225,0.000053452277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024322874,0.0024565165,0.41146317,0.00007205162,0.000047165795,0.000009230891,0.021304768,0.30614167,0.005218325,0.0045436486,0.11574396,0.13056722],"study_design_scores_gemma":[0.00036694706,0.0017896112,0.925265,0.000008959581,0.000001729625,0.0000027826336,0.0011908838,0.059262365,0.0002956477,0.0013680629,0.01036799,0.0000800334],"about_ca_topic_score_codex":0.008677002,"about_ca_topic_score_gemma":0.00035513635,"teacher_disagreement_score":0.5138018,"about_ca_system_score_codex":0.000969378,"about_ca_system_score_gemma":0.00007646513,"threshold_uncertainty_score":0.99902135},"labels":[],"label_agreement":null},{"id":"W4313398944","doi":"10.1016/j.apr.2022.101646","title":"Quantifying start emissions and impact of reducing cold and warm starts for gasoline and hybrid vehicles","year":2023,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Gasoline; NOx; Cold start (automotive); Nitrogen oxides; Greenhouse gas; Ultrafine particle; Meteorology; Combustion; Waste management; Automotive engineering; Engineering; Chemistry; Geography","score_opus":0.07774208458972104,"score_gpt":0.3658314816747405,"score_spread":0.28808939708501946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313398944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971316,0.0018480849,0.00028498218,0.00022654189,0.00004103626,0.00025773302,0.000059458693,0.00009417997,0.000056399953],"genre_scores_gemma":[0.9950922,0.0030293206,0.001524842,0.000005121581,0.00004659037,0.000024778408,0.000007686594,0.000025327972,0.00024409762],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998966,0.000036483878,0.00019667539,0.00019089156,0.00019271024,0.00041727198],"domain_scores_gemma":[0.99934125,0.00020841253,0.000022310625,0.00014756668,0.00007656187,0.00020387529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007552881,0.00010968854,0.00017326426,0.00003015479,0.00030311546,0.00004092136,0.00005812339,0.00005269695,0.000019942689],"category_scores_gemma":[0.00010727435,0.00009459158,0.00003079619,0.00043049248,0.00012280635,0.00016880046,0.00008316433,0.00018375284,0.000001836123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018145844,0.00004975317,0.023236344,0.0010508717,0.00014180802,0.000013491494,0.0011529375,0.059833717,0.7912003,0.00033899737,0.021406883,0.101393476],"study_design_scores_gemma":[0.0005659764,0.00023053637,0.034044057,0.00019283833,0.000008409321,0.000013725911,0.00035058177,0.947461,0.012501197,0.00011585617,0.004364489,0.00015133906],"about_ca_topic_score_codex":0.0002691991,"about_ca_topic_score_gemma":0.0000054705056,"teacher_disagreement_score":0.8876273,"about_ca_system_score_codex":0.000049560116,"about_ca_system_score_gemma":0.00006201594,"threshold_uncertainty_score":0.38573328},"labels":[],"label_agreement":null},{"id":"W4363675485","doi":"10.1016/j.apr.2023.101757","title":"A baseline characterization of fine particulate matter (PM2.5) concentration and releases in Nova Scotia, Canada","year":2023,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science; Particulates; Pulp mill; Effluent; Air pollution; Pollution; Air quality index; Environmental engineering; Nova scotia; Waste management; Engineering; Meteorology; Geography; Chemistry","score_opus":0.04933311515167497,"score_gpt":0.3321761251465928,"score_spread":0.2828430099949178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363675485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869613,0.000017759077,0.00024340053,0.012263344,0.000046718073,0.00025751413,0.000020206135,0.000011958892,0.00017782277],"genre_scores_gemma":[0.99849653,0.000044970708,0.0001916712,0.0006792412,0.000019133095,0.000007106091,0.000039767452,0.0000066686403,0.0005148976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983758,0.00029058367,0.00027581165,0.00018845203,0.000468586,0.0004008116],"domain_scores_gemma":[0.99955475,0.00010129055,0.000058284808,0.00012944717,0.00002163347,0.00013459745],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001126035,0.00006447524,0.00011153845,0.0000054290986,0.00008376428,0.000012491091,0.00006657564,0.000044018856,0.0018265981],"category_scores_gemma":[0.00021114603,0.00006207367,0.000009217114,0.0010478976,0.00016291124,0.00016139694,0.000075937714,0.00012557002,0.00021787145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014205353,0.00010651724,0.9082115,0.00013914266,0.000007039322,0.000023564868,0.0007186309,0.0049774805,0.04020391,0.00012871168,0.025897969,0.019443462],"study_design_scores_gemma":[0.00025592733,0.00004453769,0.9563635,0.00003295976,0.0000013321903,0.0000013591184,0.000066427274,0.04050571,0.0011437105,0.000051391067,0.0014737323,0.000059432412],"about_ca_topic_score_codex":0.5973156,"about_ca_topic_score_gemma":0.4960313,"teacher_disagreement_score":0.10128432,"about_ca_system_score_codex":0.0002585275,"about_ca_system_score_gemma":0.00017242962,"threshold_uncertainty_score":0.99908584},"labels":[],"label_agreement":null},{"id":"W4366503425","doi":"10.1016/j.apr.2023.101752","title":"Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm","year":2023,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Hilbert–Huang transform; Mean squared error; Artificial neural network; Feature selection; Computer science; Discriminative model; Artificial intelligence; Feature (linguistics); Data mining; Mode (computer interface); Algorithm; Random forest; Principal component analysis; Filter (signal processing); Pattern recognition (psychology); Machine learning; Mathematics; Statistics","score_opus":0.09192673908280491,"score_gpt":0.3965964832192423,"score_spread":0.3046697441364374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366503425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9263674,0.000017806815,0.073016256,0.000053736207,0.000031501426,0.00030573085,0.000011178025,0.000075104086,0.000121302895],"genre_scores_gemma":[0.86771655,0.000002811581,0.13196374,0.0000048198153,0.000035821748,0.000049173603,0.00004920291,0.000018896302,0.00015895808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967327,0.0007713227,0.00061001757,0.00043074516,0.0008620696,0.00059311325],"domain_scores_gemma":[0.9987823,0.00046637078,0.00028995864,0.00026205328,0.00006621862,0.00013313872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004217089,0.00014506708,0.0002637706,0.00004550267,0.000321811,0.000020156183,0.00029755215,0.00014414986,0.00010233551],"category_scores_gemma":[0.000306889,0.00015776833,0.000068536065,0.0019794672,0.00031890415,0.00028740554,0.00016394693,0.00044824067,0.0001066366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077533274,0.000219524,0.058011703,0.00006921904,0.000010473259,0.000005761995,0.0011190735,0.62422514,0.037008304,0.000004090533,0.000011192331,0.279238],"study_design_scores_gemma":[0.00044181326,0.00018297356,0.19547832,0.000056332,0.000003752929,0.0000015299934,0.0007908735,0.79725116,0.005623682,0.000022948449,0.000025128844,0.00012150989],"about_ca_topic_score_codex":0.013772168,"about_ca_topic_score_gemma":0.00017837939,"teacher_disagreement_score":0.27911648,"about_ca_system_score_codex":0.00031724403,"about_ca_system_score_gemma":0.000037279886,"threshold_uncertainty_score":0.9927952},"labels":[],"label_agreement":null},{"id":"W4379513124","doi":"10.1016/j.apr.2023.101814","title":"Source identification of PM2.5 during the COVID-19 lockdown in Bangkok and the metropolitan region by ion beam analysis (IBA) and positive matrix factorization (PMF) techniques","year":2023,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Council of Thailand; International Atomic Energy Agency; Banting Research Foundation; Kasetsart University; Australian Nuclear Science and Technology Organisation","keywords":"Metropolitan area; Environmental science; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Identification (biology); Geography; Archaeology; Medicine","score_opus":0.03659983617060119,"score_gpt":0.37272468436671297,"score_spread":0.33612484819611177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379513124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588337,0.00028456582,0.019898593,0.019993333,0.000015130696,0.0007721611,0.000022872648,0.00005443546,0.00012522875],"genre_scores_gemma":[0.99749666,0.0008918903,0.00007305362,0.00027044478,0.00001658916,0.00004529207,0.000020094807,0.000008331151,0.0011776311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997464,0.00094569323,0.00034839593,0.00028588285,0.00060843676,0.00034760035],"domain_scores_gemma":[0.99895453,0.000454234,0.00015870045,0.0002646121,0.000028373657,0.00013951637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003766972,0.0000927436,0.00017005017,0.000044165055,0.000665933,0.000058298832,0.00017890066,0.000092951974,0.00004191762],"category_scores_gemma":[0.00070913194,0.00006263697,0.000038412312,0.003308649,0.000940955,0.00020450879,0.00019327855,0.00022835139,0.000010006821],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002038166,0.00041609793,0.791511,0.00060805725,0.0004150796,0.0000125635615,0.037986904,0.021934185,0.07844959,0.011625954,0.028425708,0.026576718],"study_design_scores_gemma":[0.0006636627,0.00010640231,0.9662348,0.000016705042,0.00005033147,0.0000059690037,0.0053363102,0.018365279,0.0046276622,0.002453884,0.0019953593,0.00014362419],"about_ca_topic_score_codex":0.020579332,"about_ca_topic_score_gemma":0.0005564869,"teacher_disagreement_score":0.17472383,"about_ca_system_score_codex":0.00082139863,"about_ca_system_score_gemma":0.00003730984,"threshold_uncertainty_score":0.9859427},"labels":[],"label_agreement":null},{"id":"W4385879458","doi":"10.1016/j.apr.2023.101901","title":"A Hitchhiker's guide to persistent organic pollutants (POPs) monitoring in air: Establishing a baseline network in Sri Lanka","year":2023,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Polybrominated diphenyl ethers; Pollutant; Baseline (sea); Sri lanka; Environmental science; Environmental monitoring; Air monitoring; Environmental chemistry; Environmental protection; Environmental resource management; Environmental planning; Environmental engineering; Chemistry","score_opus":0.033464725878410366,"score_gpt":0.3303129986584717,"score_spread":0.2968482727800613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385879458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99109364,0.0002468877,0.00018239323,0.0042319815,0.00050173386,0.0008341193,0.000047142217,0.00026640654,0.0025956964],"genre_scores_gemma":[0.9935629,0.00013589022,0.0029254432,0.00033330682,0.00031197636,0.000049073788,0.000001809124,0.00006739088,0.0026122578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99338275,0.00077361317,0.00071831595,0.00092976686,0.0017281327,0.0024674027],"domain_scores_gemma":[0.9981744,0.00036383746,0.00008259053,0.0007648397,0.000013422471,0.00060087274],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0064158365,0.00032196962,0.0003951781,0.00009896967,0.000334198,0.00009546276,0.0009641686,0.00021334132,0.0023912983],"category_scores_gemma":[0.0024254683,0.00033044443,0.000105180705,0.012461616,0.00017361277,0.00056219293,0.0011202043,0.0008813096,0.0033286586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004278621,0.00048681934,0.42808154,0.00003153038,0.00007848594,0.0011726838,0.0137707135,0.17145665,0.0893324,0.000021101469,0.02004155,0.27509865],"study_design_scores_gemma":[0.001177337,0.0002235829,0.95790553,0.00021801058,0.000007935473,0.000031165637,0.0057410593,0.024021422,0.00064225175,0.00014021738,0.009368691,0.0005227917],"about_ca_topic_score_codex":0.00546729,"about_ca_topic_score_gemma":0.004569466,"teacher_disagreement_score":0.52982396,"about_ca_system_score_codex":0.0039050246,"about_ca_system_score_gemma":0.00027282967,"threshold_uncertainty_score":0.9999188},"labels":[],"label_agreement":null},{"id":"W4388562146","doi":"10.1016/j.apr.2023.101984","title":"Estimating air methane and total hydrocarbon concentrations in Alberta, Canada using machine learning","year":2023,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Autoregressive integrated moving average; Methane; Artificial neural network; Environmental science; Air quality index; Methane emissions; Meteorology; Time series; Atmospheric sciences; Computer science; Machine learning; Chemistry; Geography; Geology","score_opus":0.018186900596643966,"score_gpt":0.2745214372355094,"score_spread":0.25633453663886546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388562146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996318,0.000058787977,0.0016413697,0.0005106564,0.00008741138,0.00022525057,0.0000017685388,0.000035398436,0.0011213685],"genre_scores_gemma":[0.98106736,0.000039275452,0.016432855,0.000077400015,0.000024672368,0.000019168318,0.000009781208,0.000023486955,0.0023060208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978498,0.00022592428,0.00024261909,0.00038229968,0.0006209085,0.0006783973],"domain_scores_gemma":[0.9994402,0.0001693795,0.0000526,0.0001545363,0.0000046517625,0.00017863982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062284595,0.00014745182,0.00016139023,0.000004428244,0.00031517557,0.000021200749,0.00013356007,0.00007139847,0.00028056517],"category_scores_gemma":[0.0001448355,0.00015224528,0.000022614138,0.0012121053,0.00030266034,0.00017315272,0.00034026595,0.0004220358,0.000045622073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008872732,0.000012675433,0.2078755,0.0000047055883,0.0000054962,0.00002347035,0.00020773518,0.78713155,0.0019128427,0.000033841126,0.000042183383,0.0027410998],"study_design_scores_gemma":[0.00024243216,0.00003531003,0.13428336,0.000012097265,0.0000037059153,0.000015718817,0.00048226622,0.86416507,0.000050246654,0.000091660404,0.00048253196,0.00013562466],"about_ca_topic_score_codex":0.9102613,"about_ca_topic_score_gemma":0.46537784,"teacher_disagreement_score":0.44488344,"about_ca_system_score_codex":0.0016168198,"about_ca_system_score_gemma":0.00014094583,"threshold_uncertainty_score":0.6208382},"labels":[],"label_agreement":null},{"id":"W4395702798","doi":"10.1016/j.apr.2024.102172","title":"Effect of urban street canyon aspect ratio on fire-induced air pollutants dispersion under cross wind","year":2024,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China; National Natural Science Foundation of China","keywords":"Street canyon; Canyon; Environmental science; Air pollutants; Pollutant; Dispersion (optics); Meteorology; Aspect ratio (aeronautics); Air pollution; Atmospheric sciences; Geography; Materials science; Geology; Chemistry; Cartography; Composite material; Physics","score_opus":0.021039891396970507,"score_gpt":0.32801377999721504,"score_spread":0.30697388860024455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395702798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907927,0.00043781401,0.00004072715,0.00084397657,0.00032445486,0.0004216151,0.000035307534,0.00007834272,0.007025088],"genre_scores_gemma":[0.9948825,0.000060728395,0.00002934598,0.000071684444,0.00016428436,0.00001602915,0.0000032962462,0.000027726175,0.0047443844],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99696153,0.0004207145,0.00025629209,0.0005545908,0.0011571379,0.00064972724],"domain_scores_gemma":[0.99907136,0.00036898945,0.00003848739,0.00034719863,0.00001900312,0.00015498616],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011974172,0.00022070484,0.0002447288,0.000013984952,0.00047533496,0.000068023895,0.0002913209,0.00011905139,0.0010821385],"category_scores_gemma":[0.00016974751,0.00016378933,0.0001277515,0.0012179862,0.00047217504,0.00023389785,0.0002780351,0.00040486112,0.00069539907],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017960344,0.0009909088,0.13753137,0.00062914443,0.00056715397,0.00037070914,0.003341317,0.042486735,0.3325044,0.003454184,0.07710139,0.39922667],"study_design_scores_gemma":[0.0019008407,0.0063653365,0.8571667,0.0005777729,0.000054751836,0.00001106274,0.00072958815,0.03861097,0.082972765,0.00033677008,0.010485314,0.0007881032],"about_ca_topic_score_codex":0.0017795234,"about_ca_topic_score_gemma":0.00014744597,"teacher_disagreement_score":0.71963537,"about_ca_system_score_codex":0.0006953648,"about_ca_system_score_gemma":0.00007992298,"threshold_uncertainty_score":0.999831},"labels":[],"label_agreement":null},{"id":"W4400299348","doi":"10.1016/j.apr.2024.102244","title":"Interannual and spatial variations in acid-soluble trace elements in snow: comparison with the mineralogy of dusts from open pit bitumen mining","year":2024,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Snow; Solubility; Zircon; Environmental chemistry; Geology; Mineralogy; Trace element; Mineral; Extraction (chemistry); Chemical composition; Geochemistry; Chemistry; Geomorphology","score_opus":0.04006628181316096,"score_gpt":0.3494229049649815,"score_spread":0.30935662315182055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400299348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912198,0.0002845395,0.0032785742,0.002741624,0.000078640616,0.00064437964,0.0000136536955,0.000008523303,0.0017302596],"genre_scores_gemma":[0.9924776,0.000039461687,0.0065233214,0.000048514135,0.000020446794,0.00011667202,0.000007377872,0.000014558652,0.00075206644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977226,0.0005474302,0.00036560453,0.0004074019,0.0005600418,0.00039689743],"domain_scores_gemma":[0.9993281,0.00028594412,0.00004996034,0.00025722344,0.0000062694257,0.000072502065],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00178718,0.00011552286,0.00020313147,0.000017227772,0.00009647717,0.00008640934,0.0004408211,0.00006723632,0.001637576],"category_scores_gemma":[0.00008853483,0.00008601079,0.000016224802,0.00076615193,0.000383512,0.00028389646,0.0006495448,0.00035301739,0.0000621555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004271525,0.00097414735,0.6969474,0.000037104823,0.00011797622,0.000081619284,0.025176445,0.020966632,0.036555327,0.00048591453,0.008582566,0.2096477],"study_design_scores_gemma":[0.0010625564,0.00032431626,0.8197415,0.00013136666,0.00001156331,0.0000034489372,0.002326462,0.16154285,0.001140847,0.00030139516,0.013241954,0.00017173606],"about_ca_topic_score_codex":0.038739037,"about_ca_topic_score_gemma":0.023315234,"teacher_disagreement_score":0.20947596,"about_ca_system_score_codex":0.00041561134,"about_ca_system_score_gemma":0.000054257074,"threshold_uncertainty_score":0.9992751},"labels":[],"label_agreement":null},{"id":"W4404503730","doi":"10.1016/j.apr.2024.102365","title":"Assessment of eco-driving strategies on carbon emissions for hybrid vehicles through portable emissions measurement systems","year":2024,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Greenhouse gas; Environmental science; Carbon fibers; Environmental economics; Computer science; Economics; Ecology","score_opus":0.06402515184468398,"score_gpt":0.35415028530578774,"score_spread":0.29012513346110375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404503730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8492645,0.012193751,0.05109602,0.00077043835,0.002003813,0.0019040253,0.0001223624,0.0009305099,0.0817146],"genre_scores_gemma":[0.99570054,0.0007245852,0.0022394347,0.0000062069107,0.00018544642,0.00023520239,0.000010506739,0.00005653913,0.0008415615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743706,0.00009637608,0.0004545827,0.00033172232,0.0010454291,0.00063481217],"domain_scores_gemma":[0.99892974,0.00019691642,0.000037063888,0.0003988632,0.00025573207,0.0001816862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014809881,0.00020751264,0.00027247894,0.000033783082,0.0003333048,0.00016778418,0.00024154293,0.00010642922,0.00008008355],"category_scores_gemma":[0.00007713051,0.00017319436,0.000105561434,0.0006712358,0.00007388572,0.00024176693,0.0000547859,0.0004918485,0.000007584526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002869743,0.00022074093,0.0007919742,0.002436542,0.0003154865,0.000027504484,0.00046491777,0.73638856,0.18521543,0.022794968,0.03240638,0.018908784],"study_design_scores_gemma":[0.00022256299,0.00021839274,0.0023198596,0.001383272,0.00001955864,0.000007637886,0.00095724,0.93007934,0.0063913995,0.0004882835,0.05769076,0.00022169366],"about_ca_topic_score_codex":0.00026043746,"about_ca_topic_score_gemma":0.000009124389,"teacher_disagreement_score":0.19369076,"about_ca_system_score_codex":0.0005226786,"about_ca_system_score_gemma":0.00062651985,"threshold_uncertainty_score":0.70626616},"labels":[],"label_agreement":null},{"id":"W4405556860","doi":"10.1016/j.apr.2024.102390","title":"Utilizing lead isotopes in airborne particulates and soils to trace lead sources: A case study from southern Taiwan","year":2024,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nuclear Safety Commission","funders":"","keywords":"Lead (geology); Environmental science; Particulates; Soil water; Environmental chemistry; TRACE (psycholinguistics); Isotope; Chemistry; Geology; Soil science","score_opus":0.0530777213015608,"score_gpt":0.3388311675977922,"score_spread":0.2857534462962314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405556860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99507105,0.0015230116,0.000489467,0.0013106959,0.00007514185,0.0010095886,0.00001598329,0.00008494013,0.00042009552],"genre_scores_gemma":[0.99613583,0.000040011466,0.0021617676,0.000095301104,0.000048767182,0.00019555386,0.0000011460156,0.000041224197,0.0012804258],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9963253,0.000691048,0.00039311868,0.0008832513,0.000893842,0.00081341935],"domain_scores_gemma":[0.99899304,0.00023857086,0.000025721041,0.00046009893,0.0000067890946,0.00027578938],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002244731,0.00022550167,0.00025071838,0.000022279932,0.00028198375,0.00018889098,0.00025487164,0.00009983447,0.0012103776],"category_scores_gemma":[0.00018871752,0.00019936117,0.000048595688,0.0011049742,0.0004289786,0.00024431926,0.0005342459,0.00050001463,0.0019969095],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017422163,0.001840469,0.28733793,0.00007444432,0.00017195733,0.010483054,0.12814781,0.03411407,0.04615884,0.00005675214,0.0013596034,0.49008086],"study_design_scores_gemma":[0.0020037647,0.0016236309,0.41415507,0.00034054913,0.00009267042,0.00042780477,0.33687422,0.21201505,0.003638658,0.0010462898,0.026350347,0.0014319345],"about_ca_topic_score_codex":0.03168732,"about_ca_topic_score_gemma":0.0069004153,"teacher_disagreement_score":0.48864892,"about_ca_system_score_codex":0.0005569432,"about_ca_system_score_gemma":0.000034120763,"threshold_uncertainty_score":0.99970263},"labels":[],"label_agreement":null},{"id":"W4407672862","doi":"10.1016/j.apr.2025.102460","title":"Field validation of a novel passive air sampler and monitoring of semivolatile organic pollutants in the remote marine and continental boundary layer","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Max-Planck-Institut für Chemie; Gujarat Cancer and Research Institute; Max-Planck-Gesellschaft; RECETOX Přírodovědecké Fakulty Masarykovy Univerzity; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Environmental science; Boundary layer; Pollutant; Field (mathematics); Remote sensing; Environmental monitoring; Geology; Environmental engineering; Aerospace engineering; Chemistry; Engineering","score_opus":0.03370673274186195,"score_gpt":0.3069276610582895,"score_spread":0.2732209283164275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407672862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651676,0.00041523183,0.0005239273,0.000817584,0.0000567994,0.00018972646,0.000027254717,0.000006126672,0.001446614],"genre_scores_gemma":[0.99707776,0.00016749626,0.002343753,0.00005363417,0.000032139505,0.0000010279721,0.0000065648887,0.0000021233193,0.000315474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989626,0.00009862882,0.00024205181,0.00018737486,0.00028840866,0.0002209557],"domain_scores_gemma":[0.9992236,0.0004493941,0.000071631104,0.00015238867,0.000063492866,0.000039523205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005403899,0.000085764776,0.00015651666,0.000005078412,0.00015326381,0.000026373753,0.0001446592,0.00007653897,0.00033645265],"category_scores_gemma":[0.0002608432,0.00006537731,0.000021479691,0.0006839966,0.00020408856,0.000113465576,0.000059698355,0.00022035291,8.586739e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021016944,0.000054079617,0.89372224,0.00011196231,0.000032311647,0.000004704113,0.0006157919,0.00015556633,0.0349959,0.000045920126,0.0001371026,0.06991423],"study_design_scores_gemma":[0.00066924735,0.00012704184,0.9658242,0.00010984899,0.00000893333,0.000009800721,0.0018645785,0.006380803,0.024197437,0.00044529876,0.00028269034,0.000080161335],"about_ca_topic_score_codex":0.0049698083,"about_ca_topic_score_gemma":0.0002571578,"teacher_disagreement_score":0.0721019,"about_ca_system_score_codex":0.000010056632,"about_ca_system_score_gemma":0.00010470475,"threshold_uncertainty_score":0.75128967},"labels":[],"label_agreement":null},{"id":"W4410349589","doi":"10.1016/j.apr.2025.102582","title":"Spatiotemporal assessment of lead (Pb) and cadmium (Cd) contamination in urban tree rings near an industrial smelter: high intraspecific variability but limited spatial differentiation","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ministère des Ressources naturelles et des Forêts (Québec); Geological Survey of Canada; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Université du Québec en Abitibi-Témiscamingue","keywords":"Cadmium; Contamination; Environmental science; Smelting; Lead (geology); Environmental chemistry; Intraspecific competition; Chemistry; Ecology; Biology","score_opus":0.03431691247660077,"score_gpt":0.31642853044423924,"score_spread":0.28211161796763845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410349589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98327845,0.000013752416,0.013939588,0.0006401759,0.0002465766,0.00091745186,0.000015017847,0.000028237228,0.0009207547],"genre_scores_gemma":[0.99540424,0.000037899525,0.004030292,0.000030688632,0.00006378906,0.00008530805,0.00004690506,0.000015715077,0.00028513063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955759,0.0015621147,0.00067389855,0.0006652599,0.0010303112,0.0004925324],"domain_scores_gemma":[0.9989071,0.00025904085,0.00016953543,0.0005029659,0.000028575643,0.0001328194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033714683,0.00020237804,0.00032774275,0.00003929555,0.00022360514,0.00007779671,0.0002891252,0.0002718114,0.00055670354],"category_scores_gemma":[0.00041301068,0.00020596717,0.000042378913,0.0008875282,0.00076757907,0.00039687392,0.00034215717,0.00060540513,0.000013834807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019234268,0.00090305135,0.8450105,0.00002733331,0.000026521466,0.000004336331,0.0005241756,0.0010633013,0.040045615,0.00068861974,0.00022624875,0.11128792],"study_design_scores_gemma":[0.0013375764,0.00037324493,0.9352826,0.000029275536,0.000013213042,5.832287e-7,0.00016782046,0.057613533,0.00402778,0.00062754255,0.00037645447,0.00015038942],"about_ca_topic_score_codex":0.014076319,"about_ca_topic_score_gemma":0.0018498556,"teacher_disagreement_score":0.11113753,"about_ca_system_score_codex":0.0016291376,"about_ca_system_score_gemma":0.00014319974,"threshold_uncertainty_score":0.99248904},"labels":[],"label_agreement":null},{"id":"W4411385578","doi":"10.1016/j.apr.2025.102632","title":"Characteristics and sources of volatile organic compounds and their impacts on ozone formation in a coastal city of southeastern China","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Ozone; Environmental science; China; Environmental chemistry; Volatile organic compound; Environmental protection; Geography; Chemistry; Meteorology; Organic chemistry; Archaeology","score_opus":0.019523833736055013,"score_gpt":0.2598561124155841,"score_spread":0.24033227867952908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411385578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772716,0.00028150206,0.00030469222,0.0001632912,0.000024793067,0.00014822785,0.00009198563,0.000008349891,0.0012499788],"genre_scores_gemma":[0.99947774,0.00013742936,0.00014830717,0.00001651587,0.00001491127,9.24984e-7,0.00002309615,0.000002174949,0.00017889938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990273,0.00010658765,0.0002721865,0.00015715862,0.00020307604,0.00023369754],"domain_scores_gemma":[0.99948204,0.00016680625,0.000100340316,0.00012783315,0.000052089097,0.00007092506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046415025,0.00010112162,0.00021638349,0.0000069620087,0.00011232373,0.000028989187,0.000103352046,0.000071138835,0.00017214031],"category_scores_gemma":[0.0001138666,0.0000795524,0.000020870008,0.00051019486,0.00028218576,0.00012751472,0.000041265135,0.00019359525,0.0000018969093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002758235,0.000073478455,0.9729158,0.00021578072,0.000017065156,0.000002061892,0.0014854077,0.00006337071,0.015006073,0.000038069218,0.00002365828,0.009883354],"study_design_scores_gemma":[0.00036186393,0.0002057535,0.9741681,0.00013777822,0.0000031430116,0.00000683657,0.0010537696,0.01827345,0.005338729,0.0003352928,0.000046429705,0.000068818044],"about_ca_topic_score_codex":0.001712277,"about_ca_topic_score_gemma":0.0007481125,"teacher_disagreement_score":0.01821008,"about_ca_system_score_codex":0.000005963416,"about_ca_system_score_gemma":0.00007079009,"threshold_uncertainty_score":0.32440528},"labels":[],"label_agreement":null},{"id":"W4413364432","doi":"10.1016/j.apr.2025.102709","title":"Identifying air pollution characteristics, source apportionment methods, and air quality modeling approaches in transport hub settings: State-of-play and future directions","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Environmental Protection Agency; Department of Transport","keywords":"Apportionment; Air quality index; Environmental science; Air pollution; Quality (philosophy); Pollution; State (computer science); Computer science; Meteorology; Geography; Chemistry","score_opus":0.05520196247451353,"score_gpt":0.35563690828709194,"score_spread":0.3004349458125784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413364432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.823597,0.002840728,0.17203201,0.0006736759,0.00014982391,0.0002865348,0.000021132928,0.000090941554,0.00030812086],"genre_scores_gemma":[0.9833515,0.0031742775,0.013027924,0.000033970668,0.00005283871,0.000052520612,0.000014856955,0.000018283343,0.0002737795],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982592,0.00023560258,0.0005379162,0.00030336846,0.0002812354,0.00038270827],"domain_scores_gemma":[0.9995075,0.00006404191,0.00005490002,0.00020803239,0.00006222222,0.000103339335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002527003,0.00015580942,0.00027094074,0.00006288184,0.0002895829,0.000021868063,0.000095269774,0.00012049121,0.000013296411],"category_scores_gemma":[0.000044690103,0.00015773045,0.000040461815,0.000828074,0.00011050041,0.00021060325,0.0000545948,0.00047586128,9.398735e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008382298,0.000113470334,0.014388297,0.0010557505,0.00009382985,0.0000024255799,0.0042125527,0.16291642,0.006945749,0.0004778815,0.00008062172,0.8096292],"study_design_scores_gemma":[0.00036300853,0.000022051507,0.31753156,0.0001870792,0.000013841645,0.00000395611,0.0024998556,0.66833854,0.0009278094,0.000345086,0.009570581,0.00019666187],"about_ca_topic_score_codex":0.00034054084,"about_ca_topic_score_gemma":0.000041848638,"teacher_disagreement_score":0.8094325,"about_ca_system_score_codex":0.0001616636,"about_ca_system_score_gemma":0.00006923463,"threshold_uncertainty_score":0.6432061},"labels":[],"label_agreement":null},{"id":"W4415390145","doi":"10.1016/j.apr.2025.102793","title":"Oxidative potential of size-resolved PM related to water-soluble components and total and bioaccessible mass fractions of PAH derivatives","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Aristotle University of Thessaloniki; Ministerstvo Školství, Mládeže a Tělovýchovy; Max-Planck-Gesellschaft; Trent University","keywords":"Dithiothreitol; Particulates; Fraction (chemistry); Aerosol; Mass fraction; Mass concentration (chemistry); Total organic carbon; Human health","score_opus":0.03974704970195239,"score_gpt":0.3599098618023724,"score_spread":0.32016281210041997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415390145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878964,0.0000888852,0.0040261885,0.005765126,0.0000630952,0.0004908955,0.0000148922845,0.000014480947,0.0016400442],"genre_scores_gemma":[0.99157196,0.000080110134,0.0059899087,0.00014242865,0.000004751362,0.00001935978,0.000004304365,0.000005940645,0.0021812413],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99826586,0.00033786238,0.00033477435,0.0002629696,0.00040805998,0.00039046735],"domain_scores_gemma":[0.99934703,0.00017876379,0.00006858855,0.0001777967,0.00004785913,0.00017997337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091267354,0.0000948314,0.00020331869,0.000018117784,0.0003346449,0.000023121844,0.00012510442,0.00009492036,0.0005661267],"category_scores_gemma":[0.0002315873,0.00007827695,0.000023809967,0.00072812306,0.00065373594,0.00025767897,0.00035346096,0.00020606097,0.000022064994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047306894,0.00037751877,0.02801802,0.00016767641,0.000076110526,0.0000029224445,0.0025139514,0.00145878,0.9567558,0.00062646775,0.0020146037,0.007515055],"study_design_scores_gemma":[0.0010772492,0.00040036565,0.93682784,0.00010426409,0.00001274086,0.0000019232916,0.0017962406,0.007082033,0.047690436,0.0035184869,0.0013565598,0.00013186016],"about_ca_topic_score_codex":0.0042654285,"about_ca_topic_score_gemma":0.000042885247,"teacher_disagreement_score":0.90906537,"about_ca_system_score_codex":0.0001139047,"about_ca_system_score_gemma":0.00004892004,"threshold_uncertainty_score":0.64480805},"labels":[],"label_agreement":null},{"id":"W4415556168","doi":"10.1016/j.apr.2025.102792","title":"Understanding the agriculture sectors of greenhouse gas emissions prediction in the global scenario: Insights from explainable artificial intelligence (XAI)","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Greenhouse gas; Artificial neural network; Agriculture; Convolutional neural network; Nitrous oxide; Methane; Carbon dioxide; Greenhouse effect","score_opus":0.11313121731718716,"score_gpt":0.3404388848123226,"score_spread":0.22730766749513542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11816924,0.0007612366,0.8646174,0.008229207,0.000618615,0.0010350756,0.000017578706,0.00013566254,0.0064159743],"genre_scores_gemma":[0.9976074,0.0001265553,0.0016295172,0.00020793935,0.000082621365,0.00008589381,0.000005187376,0.0000076081765,0.00024729702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995591,0.0011848132,0.0006535663,0.00062217173,0.0012144475,0.0007339892],"domain_scores_gemma":[0.9975675,0.00088204676,0.00013735206,0.0010134683,0.00029198933,0.00010764493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017865021,0.00021972637,0.00023299466,0.000051518273,0.0012118475,0.0003717891,0.0022796325,0.00020310568,0.00005131777],"category_scores_gemma":[0.00070413697,0.00013349412,0.00011178421,0.0075279814,0.0005053717,0.0006249661,0.00052922464,0.0007665778,0.00004464744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087583,0.000446732,0.0019548207,0.000030557574,0.0000522846,0.00004021521,0.008382882,0.022562714,0.0028951827,0.9483168,0.004969803,0.010260432],"study_design_scores_gemma":[0.00012084382,0.0002615087,0.0062950156,0.00030629226,0.00001727855,0.000008267158,0.04605551,0.2512486,0.009275728,0.68342906,0.002727096,0.00025478343],"about_ca_topic_score_codex":0.009348509,"about_ca_topic_score_gemma":0.005116485,"teacher_disagreement_score":0.87943816,"about_ca_system_score_codex":0.0011542817,"about_ca_system_score_gemma":0.0005267015,"threshold_uncertainty_score":0.99724835},"labels":[],"label_agreement":null},{"id":"W4416018820","doi":"10.1016/j.apr.2025.102814","title":"Development and application of a generalized empirical model of BVOC emission (GEMBE) using observations from four Chinese forests","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Key Research and Development Program of Liaoning Province; National Key Research and Development Program of China; Canadian Anesthesiologists' Society; Endocrine Society of Australia; National Natural Science Foundation of China; Institute of Atmospheric Physics, Chinese Academy of Sciences; Ministry of Science and Technology of the People's Republic of China; National Center for Atmospheric Research","keywords":"Isoprene; Monoterpene; Subtropics; Flux (metallurgy); Greenhouse gas; Empirical modelling; Temperate climate","score_opus":0.11030639582942049,"score_gpt":0.3567860192440575,"score_spread":0.24647962341463703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416018820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94319284,0.0004019769,0.055523746,0.00020709283,0.00002505062,0.00021615768,0.000030108024,0.000015893638,0.00038715804],"genre_scores_gemma":[0.88065386,0.000034087127,0.11884673,0.000037639827,0.000021314074,0.000005670464,0.000052099575,0.0000029410414,0.00034565775],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986033,0.000083020335,0.00038202826,0.00027910993,0.00040842217,0.00024415107],"domain_scores_gemma":[0.9992524,0.00015439768,0.000112015536,0.00022796745,0.00015240311,0.00010080799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042598415,0.00011592723,0.00021970423,0.000005241775,0.00024408042,0.000018594532,0.00019205145,0.000112271555,0.00008544898],"category_scores_gemma":[0.00014305962,0.00009584727,0.000041014388,0.00086378545,0.0001803316,0.000116803785,0.000057510944,0.00014578915,0.0000019581025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013018085,0.000058119254,0.8485235,0.000078903446,0.000041021092,8.467367e-7,0.00037355587,0.06778651,0.060545005,0.000073249306,0.00016804486,0.022221075],"study_design_scores_gemma":[0.00027469083,0.000010171461,0.38763773,0.000034498487,0.0000065161557,4.9097156e-7,0.00008404711,0.6065699,0.0034952024,0.0016226314,0.00019983895,0.00006428434],"about_ca_topic_score_codex":0.0025556665,"about_ca_topic_score_gemma":0.00038325792,"teacher_disagreement_score":0.5387834,"about_ca_system_score_codex":0.000024754318,"about_ca_system_score_gemma":0.00040087083,"threshold_uncertainty_score":0.39085382},"labels":[],"label_agreement":null},{"id":"W7078264798","doi":"10.1016/j.apr.2025.102702","title":"Integration of Sentinel-5P satellite data and machine learning for spatiotemporal prediction of NO2 in Delhi: Impacts of COVID-19 lockdown","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Support vector machine; Decision tree; Random forest; Regression; Mean squared error; Regression analysis; Air quality index; Satellite; Linear regression","score_opus":0.08890831980299632,"score_gpt":0.3627249712885717,"score_spread":0.2738166514855753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7078264798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27579272,0.0012806901,0.71672034,0.0044543087,0.00006407506,0.0005099487,0.00004845873,0.000031562373,0.0010979263],"genre_scores_gemma":[0.9889901,0.00023076127,0.010184051,0.000024203408,0.0000094464385,0.000009453753,0.0000756457,0.0000013958543,0.00047492576],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986094,0.00021897795,0.00040315976,0.0002959879,0.0002657627,0.0002067078],"domain_scores_gemma":[0.9987716,0.00029602932,0.00017196746,0.00041645108,0.0002837512,0.00006019204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023423468,0.00007546498,0.00018326074,0.00003877739,0.00008090666,0.000017402499,0.0004324085,0.00008380115,0.000008972003],"category_scores_gemma":[0.0025046517,0.000070237664,0.000025095964,0.0009282594,0.00015439438,0.00021632908,0.00040548845,0.0001874978,2.165704e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005774509,0.00043749737,0.6039254,0.0030146078,0.00010858803,0.0000050296726,0.0034763338,0.0150122885,0.22408532,0.015143035,0.001536273,0.13267814],"study_design_scores_gemma":[0.00077789865,0.00013050243,0.09895474,0.00013684154,0.0000056980766,0.000002423597,0.00027924098,0.87729627,0.013827249,0.0030175708,0.005512763,0.000058807655],"about_ca_topic_score_codex":0.0017731679,"about_ca_topic_score_gemma":0.00013551093,"teacher_disagreement_score":0.862284,"about_ca_system_score_codex":0.000057528123,"about_ca_system_score_gemma":0.0003377385,"threshold_uncertainty_score":0.2998483},"labels":[],"label_agreement":null},{"id":"W7093366044","doi":"10.1016/j.apr.2025.102784","title":"Machine learning-based estimation of vehicular emissions using on-board diagnostics data for intelligent fleet management","year":2025,"lang":"en","type":"article","venue":"Atmospheric Pollution Research","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cistel Technology (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Powertrain; Cold start (automotive); Phase (matter); Fleet management; Driving cycle; NOx; Gasoline","score_opus":0.06134223780047844,"score_gpt":0.36376668481196006,"score_spread":0.30242444701148163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093366044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102013856,0.0019513099,0.8922312,0.0005381318,0.00032363067,0.0009656326,0.0001236267,0.00017279413,0.0016797903],"genre_scores_gemma":[0.9671319,0.00080820697,0.031199263,0.000039506762,0.000028842027,0.000050236173,0.00014005195,0.000024352079,0.00057765614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987313,0.00007347155,0.0002818739,0.0002335014,0.00034952135,0.00033033267],"domain_scores_gemma":[0.99889785,0.0002907014,0.000032556854,0.00059262064,0.000102235455,0.00008404407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076835847,0.00012332894,0.00015557755,0.000043978634,0.00028047498,0.000028692635,0.0003734879,0.000082128194,0.000068107576],"category_scores_gemma":[0.00033236347,0.00011536726,0.0000438359,0.00081475073,0.000063939435,0.00007309241,0.00015382911,0.0002943957,0.000009659487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003609656,0.00006560091,0.00035427418,0.00030935643,0.00004683211,0.0000018676214,0.000017603337,0.9407424,0.00024400247,0.0005720608,0.0033004174,0.05430954],"study_design_scores_gemma":[0.00032264212,0.00007089991,0.00068668975,0.00030606907,0.000024825666,2.60897e-7,0.000054482505,0.9510907,0.0018762375,0.00014031825,0.04533143,0.000095425574],"about_ca_topic_score_codex":0.00007034614,"about_ca_topic_score_gemma":0.0000035608302,"teacher_disagreement_score":0.865118,"about_ca_system_score_codex":0.0001769185,"about_ca_system_score_gemma":0.00008451117,"threshold_uncertainty_score":0.47045404},"labels":[],"label_agreement":null}]}