{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":368,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":368,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"b4732709ebaa","filters":{"venue":"Atmospheric Environment"}},"results":[{"id":"W2004380096","doi":"10.1016/j.atmosenv.2004.03.030","title":"A review of surface ozone background levels and trends","year":2004,"lang":"en","type":"review","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1135,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Northern Hemisphere; Ozone; Middle latitudes; Southern Hemisphere; Environmental science; Tropospheric ozone; Atmospheric sciences; Climatology; Troposphere; Latitude; Range (aeronautics); Ozone depletion; Geography; Meteorology; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.03766477532188065,"gpt":0.2611391988174682,"spread":0.2234744234955875,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002270568,0.0005540545,0.00173819,9.62934e-7,0.00007884766,0.00001989749,0.0003362939,0.0002346377,0.01613135],"category_scores_gemma":[0.00001012603,0.0004292388,0.0003531568,0.0002923515,0.000256956,0.00009436269,0.00005747241,0.0002875652,0.0002214102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004136304,"about_ca_system_score_gemma":0.00009184011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000194927,"about_ca_topic_score_gemma":0.000004508623,"domain_scores_codex":[0.997761,0.0001007328,0.0008144434,0.0006150022,0.0003373105,0.0003715806],"domain_scores_gemma":[0.9985242,0.0001433631,0.0005782139,0.0005413292,0.000005933194,0.0002069511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001901788,0.00003679307,0.0001353772,0.08827984,0.0001243757,0.00001743168,0.0000131838,0.0001588489,2.591468e-7,0.000003404712,0.0003189876,0.9109096],"study_design_scores_gemma":[0.0001438439,0.00008997915,0.0004194291,0.05332901,0.000540791,0.00007430062,0.00001147499,0.00001076904,4.789878e-7,0.00001295042,0.9449009,0.0004660501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008125582,0.9971738,0.00007283933,0.00002968753,0.00008025872,0.0003134131,0.0001483188,0.00002055738,0.00207989],"genre_scores_gemma":[0.00002800948,0.9882416,0.009122225,0.0001056054,0.0000584074,0.000004964525,0.0002364627,0.00001892149,0.002183819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9445819,"threshold_uncertainty_score":0.9998159,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2136263534","doi":"10.1016/j.atmosenv.2009.08.021","title":"Atmospheric composition change – global and regional air quality","year":2009,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":951,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Air quality index; Context (archaeology); Environmental science; Atmospheric chemistry; Trace gas; Climate change; Air pollution; Earth science; Atmospheric sciences; Meteorology; Ozone; Geography; Chemistry; Ecology; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.02040875547892498,"gpt":0.2249117497171552,"spread":0.2045029942382302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001500964,0.0002647715,0.0002542597,1.620143e-7,0.000220455,0.00003294693,0.0001725638,0.0001145279,0.001963222],"category_scores_gemma":[0.000004364884,0.000241926,0.00007827372,0.0001400979,0.0001681434,0.0002484126,0.00001941066,0.0001227826,0.0001871558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391909,"about_ca_system_score_gemma":0.00001381604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005529029,"about_ca_topic_score_gemma":0.00002027678,"domain_scores_codex":[0.9984052,0.00006788359,0.0002927202,0.0004829092,0.0003613502,0.0003899425],"domain_scores_gemma":[0.9992819,0.00004490081,0.0001361664,0.0002811302,0.000006640712,0.0002491936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001584755,0.0002070785,0.7921551,0.00003009238,0.00004666862,0.00004857363,0.0002576381,0.004525257,0.0003541123,0.0002785453,0.000958843,0.2009796],"study_design_scores_gemma":[0.0004079402,0.0001947969,0.9850867,0.00001434181,0.00001980651,0.00004431668,0.00009954132,0.002727559,0.00002709542,0.0007386818,0.01030896,0.0003302169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896542,0.00247217,0.001326066,0.001928473,0.00009302943,0.000260827,0.00002654973,0.00008905627,0.004149611],"genre_scores_gemma":[0.9727714,0.0005822899,0.02319907,0.002889502,0.0002103929,0.00000465546,0.0001026348,0.000004009341,0.0002360572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2006494,"threshold_uncertainty_score":0.9989491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132797698","doi":"10.1016/j.atmosenv.2008.07.018","title":"Satellite remote sensing of surface air quality","year":2008,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":583,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Trace gas; Remote sensing; Environmental science; Troposphere; Satellite; Air quality index; Planetary boundary layer; Aerosol; Boundary layer; Inversion (geology); Meteorology; Geology; Geography; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01850175776842461,"gpt":0.2063097246764795,"spread":0.1878079669080549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001955841,0.0001815616,0.0002701856,2.782598e-7,0.0001401802,0.000004241067,0.0001517688,0.00008024908,0.002152978],"category_scores_gemma":[0.00001571936,0.0001636686,0.00009867222,0.0001133968,0.0002671541,0.00008345844,0.00002130789,0.0001194283,0.0002524414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001319185,"about_ca_system_score_gemma":0.00002524874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724576,"about_ca_topic_score_gemma":0.00002377134,"domain_scores_codex":[0.9985961,0.00007204945,0.0003762763,0.0003170763,0.0003438082,0.0002947334],"domain_scores_gemma":[0.9991803,0.0001190452,0.0001812348,0.0003787786,0.000007649701,0.0001329864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001136583,0.0000655401,0.7191153,0.00007943285,0.00008766204,0.0001239827,0.001062466,0.1318204,0.007712738,0.000006023322,0.0002540715,0.1395588],"study_design_scores_gemma":[0.0004397446,0.0001094002,0.9584663,0.00002475026,0.00002101149,0.00007432088,0.0002307678,0.01068042,0.00828103,0.0002220972,0.02099619,0.0004539831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986016,0.001149602,0.00471792,0.0001034958,0.00008050869,0.0001029409,0.000009763922,0.00003596201,0.007783807],"genre_scores_gemma":[0.8895891,0.001092104,0.1073567,0.0001362166,0.00004517572,2.695613e-8,0.00002312052,0.000005611405,0.001751984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.239351,"threshold_uncertainty_score":0.9987592,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073189336","doi":"10.1016/j.atmosenv.2013.07.028","title":"CFD simulation of near-field pollutant dispersion in the urban environment: A review of current modeling techniques","year":2013,"lang":"en","type":"review","venue":"Atmospheric Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":540,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computational fluid dynamics; Dispersion (optics); Environmental science; Turbulence; Current (fluid); Pollutant; Atmospheric dispersion modeling; Flow (mathematics); Field (mathematics); Scalar (mathematics); Meteorology; Computer science; Mechanics; Engineering; Aerospace engineering; Geography; Air pollution; Mathematics; Physics; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.02843486367341194,"gpt":0.2825244615903938,"spread":0.2540895979169819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005402323,0.0005096192,0.001321603,0.000006934372,0.00009466823,0.00001138592,0.0006056436,0.0001629329,0.001593212],"category_scores_gemma":[0.00003522524,0.0003232457,0.0004725099,0.0002366474,0.0002348291,0.0001258611,0.000494516,0.0003741911,0.0002132737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003251583,"about_ca_system_score_gemma":0.00001647759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009339125,"about_ca_topic_score_gemma":0.000001070092,"domain_scores_codex":[0.9968273,0.0002795759,0.00121578,0.0005539826,0.0007730071,0.0003503489],"domain_scores_gemma":[0.9983163,0.0001921949,0.0006641877,0.0007649481,0.000002368292,0.00005999804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002480383,0.0002738993,0.0001682233,0.009482722,0.0000369002,0.000001873045,0.0002313866,0.008352282,0.000002715285,0.000006070738,0.0004881114,0.9809533],"study_design_scores_gemma":[0.00008542328,0.0001533497,0.00003047127,0.02432508,0.0003957308,0.000002238623,0.000037632,0.009706324,0.000003476837,0.00003035137,0.9648564,0.0003735278],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001306625,0.9948726,0.002444596,0.00006971086,0.00004784524,0.001952843,0.00001409794,0.00001253869,0.0004550531],"genre_scores_gemma":[0.000924376,0.996273,0.002258153,0.0001021472,0.00004173041,0.0002785812,0.00001866442,0.00003925976,0.00006408818],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9805798,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983751821","doi":"10.1016/j.atmosenv.2010.03.010","title":"Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation","year":2010,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":534,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"National Aeronautics and Space Administration","keywords":"NOx; Isoprene; Ozone; Ozone Monitoring Instrument; Volatile organic compound; Chemistry; Tropospheric ozone; Environmental chemistry; Nitrogen dioxide; Formaldehyde; Troposphere; Environmental science; Atmospheric sciences; Combustion; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.006999794413765923,"gpt":0.1795623417755494,"spread":0.1725625473617835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001168804,0.0001097727,0.0001689464,8.725208e-7,0.00005669941,0.000007543374,0.0001100903,0.00006710653,0.0004529872],"category_scores_gemma":[0.00002023893,0.00009793066,0.00003203074,0.0000975482,0.00009273756,0.00007977196,0.000009646216,0.00008957517,0.00004076356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006328942,"about_ca_system_score_gemma":0.00001639286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001854491,"about_ca_topic_score_gemma":0.00005290497,"domain_scores_codex":[0.9992135,0.00001697653,0.0002493,0.0001821707,0.0002070379,0.0001310624],"domain_scores_gemma":[0.9993343,0.0001041596,0.0002009463,0.0002468529,0.000008054809,0.0001057141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051709,0.0001349364,0.7332402,0.00005450327,0.00001875176,5.388483e-7,0.000218387,0.09338339,0.1650399,0.0001071483,0.00008949611,0.007607612],"study_design_scores_gemma":[0.0005533281,0.0002346614,0.9316844,0.0000127425,0.00002100288,9.971628e-7,0.00009010469,0.04199944,0.02105596,0.00005081279,0.004148681,0.0001478797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823344,0.00004697076,0.01631865,0.0006068919,0.00002863783,0.0003486287,0.00004044258,0.00001125006,0.0002641335],"genre_scores_gemma":[0.9611333,0.00001419303,0.03856533,0.0001423535,0.00001866243,0.000007228727,0.00005177355,0.000003549397,0.00006361635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1984442,"threshold_uncertainty_score":0.4959892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967492164","doi":"10.1016/j.atmosenv.2007.06.054","title":"Turbulent Schmidt numbers for CFD analysis with various types of flowfield","year":2007,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":512,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Reynolds-averaged Navier–Stokes equations; Schmidt number; Computational fluid dynamics; Turbulence; Scalar (mathematics); Mechanics; Reynolds number; Range (aeronautics); Mathematics; Statistical physics; Applied mathematics; Meteorology; Physics; Geometry; Engineering; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.004430788033221972,"gpt":0.1956772679627665,"spread":0.1912464799295445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002124115,0.0001738213,0.0002671037,0.000004050069,0.0001056651,0.000006801429,0.000155866,0.00005512174,0.002047683],"category_scores_gemma":[0.000006391897,0.0001318913,0.000138564,0.0002692354,0.0001976894,0.00006095389,0.00009009273,0.00006387621,0.0001038448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187307,"about_ca_system_score_gemma":0.000003705202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002828926,"about_ca_topic_score_gemma":0.0001163578,"domain_scores_codex":[0.9987596,0.00001154879,0.0002460649,0.0003303381,0.0003238641,0.0003285302],"domain_scores_gemma":[0.9994399,0.00007583741,0.0001077849,0.0002853379,0.000003051338,0.00008811832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000246315,0.0006306873,0.8026776,0.00003119213,0.001533613,0.00003207002,0.001513041,0.1693287,0.001555007,0.000155927,0.002825982,0.01946985],"study_design_scores_gemma":[0.00139226,0.0009430527,0.8727996,0.0000207679,0.001468815,0.000005391237,0.0008545327,0.004808935,0.003843924,0.0002560244,0.1128436,0.0007631392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029476,0.0002150285,0.08796505,0.0003477806,0.00004625226,0.0003741559,0.000003839236,0.00002881299,0.008071501],"genre_scores_gemma":[0.9389458,0.00006962301,0.05822769,0.0002127843,0.00003345311,0.0000263008,0.000005648232,0.00001637392,0.002462299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1645198,"threshold_uncertainty_score":0.9988646,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004271819","doi":"10.1016/j.atmosenv.2008.07.025","title":"Source specificity and atmospheric processing of airborne PAHs: Implications for source apportionment","year":2008,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":464,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. Environmental Protection Agency","keywords":"Apportionment; Atmosphere (unit); Environmental science; Pollutant; Particulates; Environmental chemistry; Aerosol; Meteorology; Atmospheric sciences; Chemistry; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01334843815274517,"gpt":0.2133817734501482,"spread":0.200033335297403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002235815,0.0002971213,0.0003268655,0.000001664475,0.0003421165,0.00001405326,0.0002638257,0.0001027428,0.001418795],"category_scores_gemma":[0.00003892662,0.0002836543,0.00009276313,0.0002041148,0.0006433851,0.0001987641,0.000232744,0.0001112648,0.00009097452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004096969,"about_ca_system_score_gemma":0.00002529456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005373024,"about_ca_topic_score_gemma":0.000003457702,"domain_scores_codex":[0.9979824,0.00004694206,0.0005248227,0.0006005135,0.0003493301,0.0004960056],"domain_scores_gemma":[0.9987885,0.00007710215,0.0003591005,0.0005274885,0.000001828038,0.000245965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007098462,0.0008060109,0.2655466,0.00003523836,0.00006990127,0.000002646299,0.00267914,0.01194338,0.02743367,0.00001875646,0.001591402,0.6898022],"study_design_scores_gemma":[0.0006887593,0.0002353147,0.9392194,0.00001353772,0.00005901045,0.00007819659,0.0003458017,0.006333478,0.001516225,0.0001833727,0.05090716,0.0004197019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7466268,0.0006179688,0.250719,0.0005397277,0.00003711783,0.000748702,0.00002934781,0.00007716393,0.0006041997],"genre_scores_gemma":[0.9410431,0.0003796294,0.05612119,0.000195517,0.00003983051,0.00006833897,0.000003442215,0.00005835536,0.002090553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6893826,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2169262944","doi":"10.1016/j.atmosenv.2013.05.051","title":"Emissions estimation from satellite retrievals: A review of current capability","year":2013,"lang":"en","type":"review","venue":"Atmospheric Environment","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":462,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science; Satellite; Remote sensing; Geostationary orbit; Temporal resolution; Meteorology; Air quality index; Ozone Monitoring Instrument; Data assimilation; Current (fluid); Troposphere; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.02699927714192391,"gpt":0.2883592959933101,"spread":0.2613600188513862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004859996,0.001045534,0.002494535,0.000002802914,0.0001318354,0.00002147261,0.0008986653,0.0004149601,0.02530799],"category_scores_gemma":[0.0001041776,0.0008436783,0.0008980146,0.0004176782,0.000688933,0.0002474061,0.000975922,0.0006637819,0.003831902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813505,"about_ca_system_score_gemma":0.0000536083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000311401,"about_ca_topic_score_gemma":0.00000127856,"domain_scores_codex":[0.9944817,0.0004351251,0.001988336,0.001335189,0.001135879,0.0006237022],"domain_scores_gemma":[0.9960063,0.0002712066,0.001510614,0.001785195,0.000004559191,0.0004220997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002347239,0.0003097956,0.0003397287,0.01312473,0.00008453598,0.000002931921,0.00004066671,0.001048613,0.000001382375,0.000004498939,0.001111783,0.983929],"study_design_scores_gemma":[0.0001266509,0.00006921231,0.0004043732,0.02507729,0.001122609,0.000006407264,0.00001317641,0.001029637,8.532379e-7,0.0001523545,0.971232,0.0007654711],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009078893,0.9890882,0.007055602,0.00002781215,0.0002551188,0.002472579,0.00005297663,0.00005995073,0.0008970043],"genre_scores_gemma":[0.000004649568,0.9360504,0.06224988,0.00009804845,0.00005260659,0.0004138385,0.0003188651,0.0001242423,0.0006875261],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9831635,"threshold_uncertainty_score":0.9994014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2155314443","doi":"10.1016/j.atmosenv.2010.09.065","title":"CFD simulation of near-field pollutant dispersion on a high-resolution grid: A case study by LES and RANS for a building group in downtown Montreal","year":2010,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":385,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Computational fluid dynamics; Meteorology; Atmospheric dispersion modeling; Turbulence; Air quality index; Environmental science; Dispersion (optics); Grid; Large eddy simulation; Downtown; Wind tunnel; Scale model; Airflow; Marine engineering; Engineering; Air pollution; Aerospace engineering; Geography; Mathematics; Physics; Mechanical engineering; Geometry; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.005009672849947384,"gpt":0.2140495231801415,"spread":0.2090398503301941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001850201,0.0001680866,0.0001926276,0.000003162785,0.0002074009,0.00001365501,0.00006854346,0.00006832377,0.0001877014],"category_scores_gemma":[0.00002149291,0.0001365483,0.00004204732,0.00007069139,0.0001196467,0.00009530197,0.0001053076,0.0001204153,0.000003646394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008990792,"about_ca_system_score_gemma":0.000001672857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343837,"about_ca_topic_score_gemma":0.002478141,"domain_scores_codex":[0.9989477,0.0000364105,0.0002338051,0.000353639,0.0002107074,0.0002177705],"domain_scores_gemma":[0.9995573,0.0001319154,0.00008215061,0.0001681968,0.000001124317,0.00005928313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006071851,0.003186258,0.4173588,0.0000325174,0.00007254352,0.0001530357,0.00646382,0.2583976,0.05677984,0.00002971851,0.0004174496,0.2565013],"study_design_scores_gemma":[0.005755818,0.003884966,0.6363638,0.00004601153,0.0001438171,0.0000314915,0.004146941,0.3442112,0.0007831411,0.0001303848,0.0038433,0.0006591819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959331,0.00006938907,0.002990664,0.0001842601,0.00006834017,0.0006867011,0.00001581824,0.00001137278,0.00004038343],"genre_scores_gemma":[0.9957687,0.00003644405,0.004003823,0.00004658675,0.000029058,0.00006071526,0.000002799492,0.00001287817,0.00003899183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2558421,"threshold_uncertainty_score":0.9931312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2055703682","doi":"10.1016/j.atmosenv.2014.09.042","title":"Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":284,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"European Regional Development Fund; Agenzia Spaziale Italiana; European Commission; National Center for Atmospheric Research; National Institute of Ecology; U.S. Department of Energy; U.S. Environmental Protection Agency; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; National Science Foundation","keywords":"Context (archaeology); Air quality index; Ozone; Environmental science; Climatology; Atmospheric sciences; Meteorology; Chemical transport model; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.0510521098784683,"gpt":0.2637381955144391,"spread":0.2126860856359708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009402675,0.000133489,0.000210814,6.530566e-7,0.00006037538,0.000007228354,0.0001456646,0.00003559386,0.0009848118],"category_scores_gemma":[0.00005741127,0.0000947744,0.00003873438,0.000111721,0.000219042,0.0001040267,0.00001275608,0.00009317173,0.00001143151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009841311,"about_ca_system_score_gemma":0.00003998906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005810867,"about_ca_topic_score_gemma":0.00009540852,"domain_scores_codex":[0.9981428,0.0002925236,0.0003827541,0.0002484237,0.0007956017,0.00013792],"domain_scores_gemma":[0.999225,0.0002444771,0.0002025561,0.0002474261,0.00002937511,0.00005114374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001535731,0.0003918497,0.0667254,0.00001702079,0.00003489288,0.000001023132,0.0009454267,0.9021595,0.000200153,0.0001178106,0.0002228756,0.02903049],"study_design_scores_gemma":[0.001997283,0.0004592728,0.2115525,0.0000176423,0.00004653112,0.000001975883,0.0003790088,0.7811475,0.00006769784,0.0001942942,0.003968434,0.0001677978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968009,0.0002576553,0.001715986,0.0003026928,0.00002534286,0.000231649,0.00003995806,0.000003859554,0.000621965],"genre_scores_gemma":[0.9977577,0.0002307575,0.001046128,0.000684034,0.00004741169,0.000007919148,0.0001692677,0.000003336184,0.00005341687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1448271,"threshold_uncertainty_score":0.9999284,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1965091995","doi":"10.1016/j.atmosenv.2006.10.053","title":"Characterizations of chemical oxidants in Mexico City: A regional chemical dynamical model (WRF-Chem) study","year":2007,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":242,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"National Oceanic and Atmospheric Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"NOx; Ozone; Atmospheric sciences; Nitrogen oxide; Diurnal cycle; Daytime; Chemistry; Alkene; Carbon monoxide; Environmental chemistry; Chemical transport model; Weather Research and Forecasting Model; Environmental science; Photochemistry; Catalysis; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01459239603925567,"gpt":0.2118621123303258,"spread":0.1972697162910701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003094716,0.000256026,0.000353474,0.000002152195,0.00004483884,0.00001272237,0.0003166025,0.0001564069,0.001377681],"category_scores_gemma":[0.00002796782,0.0002429077,0.00009217092,0.0002379169,0.0002225085,0.000124015,0.00005727987,0.0002638546,0.00003831874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004868155,"about_ca_system_score_gemma":0.0000394303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001334582,"about_ca_topic_score_gemma":0.0000236436,"domain_scores_codex":[0.9979157,0.00002653306,0.0005925883,0.0004919275,0.0005075074,0.000465707],"domain_scores_gemma":[0.9991565,0.0001145957,0.000162289,0.0003440041,0.000009374344,0.0002131759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000163278,0.000976086,0.9229739,0.00001542584,0.00004044934,0.00004107754,0.000517772,0.01056754,0.06142118,0.00001171079,0.00003395662,0.003237623],"study_design_scores_gemma":[0.002059987,0.0002101355,0.7909776,0.00004769803,0.00006109574,0.00003554735,0.0008344827,0.1807693,0.02360015,0.0003138341,0.0002962105,0.0007939572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994434,0.00006971108,0.004218234,0.0001096429,0.00003384774,0.0002983001,0.00001874836,0.00002701557,0.0007905044],"genre_scores_gemma":[0.9866972,0.0000278647,0.01279064,0.0001417784,0.00005133601,0.000006296352,0.0001072864,0.00001002168,0.0001675924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702018,"threshold_uncertainty_score":0.9995352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982822400","doi":"10.1016/j.atmosenv.2009.08.026","title":"Correlation between PM concentrations and aerosol optical depth in eastern China","year":2009,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":242,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Moderate-resolution imaging spectroradiometer; Aerosol; Relative humidity; Atmospheric sciences; Mass concentration (chemistry); Satellite; Correlation coefficient; Spectroradiometer; Meteorology; Climatology; Reflectivity; Geography; Chemistry; Mathematics; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.00881314743109482,"gpt":0.195296114713082,"spread":0.1864829672819872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008378393,0.0001474017,0.0001603859,5.249795e-7,0.00008927796,0.00003457467,0.00007529493,0.00008303217,0.0008235938],"category_scores_gemma":[0.000009792766,0.0001354234,0.00002771962,0.00007935779,0.00009175651,0.000157062,0.000009147389,0.0001492713,0.0001177202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001463225,"about_ca_system_score_gemma":0.00001224129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061881,"about_ca_topic_score_gemma":0.0000406508,"domain_scores_codex":[0.9990234,0.00002690297,0.0002309405,0.0002792279,0.0001779521,0.0002616211],"domain_scores_gemma":[0.9995985,0.00005371502,0.00005828015,0.0001427195,0.00000175201,0.0001450185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009182214,0.00002556627,0.938267,0.000002591307,0.000005054843,0.00001135009,0.0001366857,0.01940279,0.00007412936,0.00001422244,0.00002032826,0.04203112],"study_design_scores_gemma":[0.0003466223,0.0001168428,0.9768706,0.00001139888,0.00001284264,0.000007051938,0.00006236817,0.02173233,0.00009666166,0.0001205724,0.0004604851,0.0001622352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834962,0.0003690848,0.007115854,0.0004057819,0.00003824881,0.000173282,0.000004720589,0.00002313601,0.008373658],"genre_scores_gemma":[0.9916173,0.0001316792,0.007558824,0.000125032,0.00008027931,0.000001428911,0.00006329163,0.000002839584,0.0004192826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04186888,"threshold_uncertainty_score":0.9017774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005614299","doi":"10.1016/j.atmosenv.2009.10.004","title":"Comparison of carcinogen, carbon monoxide, and ultrafine particle emissions from narghile waterpipe and cigarette smoking: Sidestream smoke measurements and assessment of second-hand smoke emission factors","year":2009,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":239,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Cancer Institute; International Development Research Centre; American University of Beirut","keywords":"Smoke; Acetaldehyde; Sidestream smoke; Environmental chemistry; Formaldehyde; Chemistry; Indoor air quality; Carbon monoxide; Propionaldehyde; Ultrafine particle; Third-hand smoke; Environmental science; Environmental engineering; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.06335809298097231,"gpt":0.3155500284890608,"spread":0.2521919355080885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003201595,0.000281361,0.000502536,0.000004882731,0.0001882507,0.00001932873,0.0001099987,0.0001385614,0.0005090721],"category_scores_gemma":[0.00002843557,0.0002367548,0.00003795724,0.00007902152,0.0004002891,0.0001347023,0.0001440956,0.0001925309,3.997586e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619904,"about_ca_system_score_gemma":0.00001869079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101221,"about_ca_topic_score_gemma":0.00005658921,"domain_scores_codex":[0.9978476,0.0001247118,0.0006260892,0.0004874556,0.0005394811,0.0003746704],"domain_scores_gemma":[0.9987918,0.0001077597,0.0003184297,0.0003320698,0.000005380916,0.0004445585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002745617,0.0002645272,0.9207913,0.00002771714,0.00003086086,0.000001449383,0.002353904,0.0004323881,0.07026049,0.000002143401,0.00006042999,0.005747327],"study_design_scores_gemma":[0.0007267036,0.0005424117,0.9165105,0.00006092049,0.00008202028,0.000001335565,0.0006686347,0.003673391,0.07693279,0.0001034274,0.0004832164,0.0002147072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978446,0.0009064547,0.00004489452,0.0005047223,0.0000307337,0.0003291902,0.00002242653,0.00001435476,0.0003025717],"genre_scores_gemma":[0.9978281,0.0002965937,0.001579426,0.0001896803,0.00001090034,0.000007031654,0.00001478087,0.00001587637,0.00005759786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006672299,"threshold_uncertainty_score":0.9654583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994048623","doi":"10.1016/j.atmosenv.2007.06.052","title":"Simulations of pollutant dispersion within idealised urban-type geometries with CFD and integral models","year":2007,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":237,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Computational fluid dynamics; Atmospheric dispersion modeling; Context (archaeology); Environmental science; Air quality index; Line source; Meteorology; Turbulence; Dispersion (optics); Planetary boundary layer; AERMOD; Mechanics; Advection; Physics; Air pollution; Geology; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.007758545503954407,"gpt":0.1953073867566624,"spread":0.187548841252708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740281,0.0001767425,0.0001954395,0.000005042771,0.0001463539,0.000009594294,0.00009908255,0.00004726101,0.0004352607],"category_scores_gemma":[0.00001246392,0.0001265085,0.00003102438,0.0002559058,0.0004599901,0.0001741527,0.0001630393,0.00008554364,0.00001978995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225159,"about_ca_system_score_gemma":0.000004482276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002074985,"about_ca_topic_score_gemma":0.00006119842,"domain_scores_codex":[0.9988284,0.00001485074,0.0002526256,0.0002857349,0.0003648914,0.0002535074],"domain_scores_gemma":[0.9995133,0.00006965827,0.0001097525,0.0002036063,0.000003204083,0.0001005119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003267097,0.0003751065,0.5933368,0.00002253677,0.0001357854,0.00002312577,0.00499304,0.3797446,0.00992615,0.0005221672,0.00054994,0.01004398],"study_design_scores_gemma":[0.002820186,0.002162,0.8694251,0.0001240832,0.0002762277,0.00002228908,0.005644056,0.09593043,0.007260175,0.002376122,0.01265862,0.001300698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893317,0.0003474042,0.008845907,0.0001374217,0.00004341342,0.0001961181,0.000007916075,0.00001895036,0.001071141],"genre_scores_gemma":[0.9844425,0.0001255175,0.01471137,0.0001091987,0.00001812217,0.000002240487,0.000003860212,0.00001621531,0.00057099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2838142,"threshold_uncertainty_score":0.5158869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068938769","doi":"10.1016/s1352-2310(00)00325-3","title":"Raman spectroscopic characterization of carbonaceous aerosols","year":2001,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":237,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Ministry of Environment","keywords":"Raman spectroscopy; Particulates; Aerosol; Characterization (materials science); Particle (ecology); Ultrafine particle; Component (thermodynamics); Carbon fibers; Analytical Chemistry (journal); Materials science; Environmental chemistry; Environmental science; Chemical physics; Chemistry; Nanotechnology; Physics; Optics; Geology; Organic chemistry; Composite material; Thermodynamics; Composite number","retraction":null,"screen_n_in":null,"score":{"opus":0.006251700774407835,"gpt":0.1746878750118576,"spread":0.1684361742374498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007628072,0.0001705023,0.0002120062,6.016845e-7,0.00007534204,0.00001630346,0.00017926,0.00007227805,0.01359838],"category_scores_gemma":[0.000006038272,0.0001552885,0.00006374538,0.0001261455,0.00009056718,0.0001068234,0.00001607132,0.00009200085,0.0002719787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411741,"about_ca_system_score_gemma":0.00001638519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000185214,"about_ca_topic_score_gemma":0.00001192553,"domain_scores_codex":[0.9988754,0.00002812535,0.0002775909,0.0002781955,0.0002559315,0.0002848063],"domain_scores_gemma":[0.999418,0.00002887198,0.0001529122,0.0002857081,0.000005195798,0.0001092748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004379368,0.00007967686,0.9225678,0.00002073614,0.00003135123,0.00003364479,0.0001308009,0.003669542,0.06438431,0.00001155538,0.00002900727,0.008997714],"study_design_scores_gemma":[0.0004552051,0.000219764,0.9689746,0.00002169185,0.00003067816,0.00002547793,0.00007867974,0.004179877,0.009206987,0.0000884305,0.01639342,0.00032516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911061,0.0002098762,0.001772303,0.0001115215,0.0001144743,0.0001663527,0.000009437583,0.00003376718,0.006476158],"genre_scores_gemma":[0.9934286,0.0006442436,0.003235966,0.000101888,0.0001093118,0.000002950499,0.0001045158,0.000006667279,0.002365857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05517732,"threshold_uncertainty_score":0.9873033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966963959","doi":"10.1016/j.atmosenv.2009.03.038","title":"Numerical simulation of dispersion around an isolated cubic building: Comparison of various types of k–ɛ models","year":2009,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":233,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Turbulence; Computational fluid dynamics; Roof; Dispersion (optics); Wind tunnel; Oblique case; Mechanics; Diffusion; Flow (mathematics); Atmospheric dispersion modeling; Meteorology; Computer simulation; Standard deviation; Environmental science; Mathematics; Physics; Thermodynamics; Engineering; Statistics; Chemistry; Structural engineering; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.01377891161422445,"gpt":0.2513363719177908,"spread":0.2375574603035663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008681379,0.0001503753,0.000343109,0.00000306886,0.00005583171,0.000003164707,0.0001625389,0.00006514708,0.0002747189],"category_scores_gemma":[0.000006014582,0.0001312114,0.00007287457,0.0001368386,0.0001643299,0.0001709756,0.00007175661,0.00007002671,0.00001144696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008701538,"about_ca_system_score_gemma":0.000003321467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001658033,"about_ca_topic_score_gemma":0.000001319865,"domain_scores_codex":[0.998756,0.00004323815,0.0004100566,0.0002531967,0.0003606453,0.0001768482],"domain_scores_gemma":[0.9993927,0.00004131956,0.0002445705,0.000255919,0.000004101947,0.00006139071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000484259,0.0006863017,0.03747508,0.000007502564,0.00001874967,5.234533e-7,0.0007037703,0.9285325,0.02205853,0.00005821311,0.00001708058,0.0103933],"study_design_scores_gemma":[0.0002819645,0.0008859098,0.07642907,0.00001778963,0.00004283411,4.24008e-7,0.0001375083,0.9170879,0.003915417,0.0007985093,0.000255942,0.0001467347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264639,0.0002366803,0.07263014,0.00004413689,0.00002536863,0.0001433684,0.000002086731,0.00001198813,0.0004423507],"genre_scores_gemma":[0.9848783,0.00005056381,0.01497337,0.00002397691,0.00001201956,0.000001764521,0.000003492127,0.000009603209,0.00004687927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05841445,"threshold_uncertainty_score":0.5350644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099325187","doi":"10.1016/j.atmosenv.2005.04.032","title":"Estimating gas emissions from a farm with an inverse-dispersion technique","year":2005,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":228,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Center for Substance Abuse Treatment","keywords":"Inverse; Environmental science; Wind speed; Dispersion (optics); Atmospheric dispersion modeling; Lagrangian; Atmospheric sciences; Meteorology; Atmospheric instability; Mechanics; Air pollution; Mathematics; Chemistry; Physics; Applied mathematics; Optics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.007080578324697788,"gpt":0.2014735865899987,"spread":0.1943930082653009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006491843,0.0002289988,0.0002031879,0.000004054041,0.0001111865,0.00001728211,0.0002482745,0.000159117,0.001109406],"category_scores_gemma":[0.00003375989,0.000176748,0.00005126762,0.00008276289,0.00006594862,0.0001207945,0.0001158538,0.0002712152,0.00009183423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910129,"about_ca_system_score_gemma":0.000009970164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009283,"about_ca_topic_score_gemma":0.000006532628,"domain_scores_codex":[0.9988647,0.00001477776,0.0002114693,0.0003782642,0.0002303253,0.0003004766],"domain_scores_gemma":[0.9992148,0.00004607848,0.00007054542,0.0004964578,0.000004273035,0.0001678998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007036838,0.0002921317,0.002785941,0.00001509914,0.00005965241,0.00002594398,0.0003324842,0.2181057,0.5659664,0.00007524509,0.0004344921,0.2118366],"study_design_scores_gemma":[0.0008265284,0.0002007672,0.000306785,0.0001299132,0.0000536506,0.00001101301,0.000422782,0.8994592,0.06595555,0.0002215435,0.03191498,0.0004972926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6286443,0.0002844493,0.3671032,0.0008538582,0.0000464905,0.0003612972,0.000007376007,0.001004342,0.001694626],"genre_scores_gemma":[0.4417768,0.00004104408,0.5574154,0.0001091822,0.00009454681,0.00008220651,0.00001355745,0.00003714701,0.0004300745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6813535,"threshold_uncertainty_score":0.9998037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098012332","doi":"10.1016/j.atmosenv.2009.11.022","title":"Equilibration time scales of organic aerosol inside thermodenuders: Evaporation kinetics versus thermodynamics","year":2009,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":221,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Aerosol; Evaporation; Thermodynamics; Chemistry; Particle (ecology); Isothermal process; Vaporization; Thermodynamic equilibrium; Physics; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.008466952742114781,"gpt":0.1871558688752697,"spread":0.1786889161331549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000933731,0.0002068354,0.0002089112,9.238153e-7,0.0000740586,0.00002856059,0.0002138181,0.0001160431,0.004147332],"category_scores_gemma":[0.00001756776,0.0001859652,0.0000690285,0.0001334133,0.0001138715,0.0002168715,0.00001497807,0.000101587,0.0002259054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627216,"about_ca_system_score_gemma":0.0000225223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002079993,"about_ca_topic_score_gemma":0.00002138382,"domain_scores_codex":[0.998752,0.00004620252,0.0003279804,0.0002942763,0.0003342964,0.000245251],"domain_scores_gemma":[0.9992865,0.00007543161,0.0002026506,0.0003312709,0.00001076608,0.00009337236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005989422,0.0004723253,0.0240744,0.00003678258,0.0001219541,0.00001809917,0.0006632787,0.2139817,0.6523211,0.00005065334,0.0002497128,0.107411],"study_design_scores_gemma":[0.00360727,0.003677196,0.3912731,0.00007604619,0.0001910568,0.00002025269,0.0006172881,0.5499427,0.04627357,0.001948922,0.0008022262,0.001570282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892915,0.0003170042,0.004070671,0.0001954736,0.0000815782,0.0002017707,0.00001034819,0.00004602281,0.005785572],"genre_scores_gemma":[0.9924625,0.0001506964,0.006755304,0.0001050479,0.0000780105,0.000001141021,0.0001534611,0.000007904812,0.0002859879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6060475,"threshold_uncertainty_score":0.996763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061828799","doi":"10.1016/s1352-2310(02)00819-1","title":"Mercury emissions from burning of biomass from temperate North American forests: laboratory and airborne measurements","year":2002,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":221,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; Toronto Metropolitan University","funders":"University Corporation for Atmospheric Research; U.S. Forest Service; National Science Foundation","keywords":"Mercury (programming language); Environmental chemistry; Particulates; Elemental mercury; Environmental science; Smoke; Plume; Chemistry; Air pollution; Aerosol; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.01892717295226092,"gpt":0.216550777409966,"spread":0.1976236044577051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009361842,0.0002387942,0.0003059063,0.000003431502,0.0001804115,0.00001581424,0.0001531656,0.0000376978,0.004499078],"category_scores_gemma":[0.00003317172,0.000208876,0.00004645919,0.000225982,0.0004931598,0.0001670033,0.0002023451,0.0000983787,0.0002726548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449001,"about_ca_system_score_gemma":0.000003920341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267651,"about_ca_topic_score_gemma":0.0002705372,"domain_scores_codex":[0.9983991,0.00008929821,0.0003439717,0.0004116468,0.0004761755,0.000279808],"domain_scores_gemma":[0.9991264,0.00007031119,0.0002372387,0.0003384392,0.000005118659,0.0002224368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008818267,0.0001074069,0.954932,0.000002529405,0.00008478492,0.000003059157,0.001000323,0.0003109103,0.03292932,4.095428e-7,0.001403212,0.009217214],"study_design_scores_gemma":[0.0003834995,0.0001043907,0.9867956,0.00001513104,0.00006506985,3.464614e-7,0.0004001112,0.0007108724,0.004173205,0.00001985472,0.007082897,0.0002490412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975729,0.001072922,0.000292105,0.0002127576,0.00005509091,0.0001688862,0.00008628063,0.00002870554,0.0005103532],"genre_scores_gemma":[0.9923156,0.0008723598,0.006344145,0.0001992952,0.0000326855,0.00002646184,0.00002025837,0.00002342473,0.0001658025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03186357,"threshold_uncertainty_score":0.996411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041144638","doi":"10.1016/j.atmosenv.2011.07.040","title":"Validation of modeled carbon-dioxide emissions from an urban neighborhood with direct eddy-covariance measurements","year":2011,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":211,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; McGill University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; BC Hydro; Centre National de la Recherche Scientifique; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Eddy covariance; Environmental science; Atmospheric sciences; Carbon dioxide; Greenhouse gas; Flux (metallurgy); Meteorology; Wind speed; Ecosystem; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02044194375840551,"gpt":0.1967090738183897,"spread":0.1762671300599842,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001323024,0.0002543922,0.0002754948,0.000002241903,0.0001180222,0.000006500619,0.0002596269,0.00006291594,0.00182757],"category_scores_gemma":[0.000008619637,0.0002006407,0.00005404306,0.0001224558,0.0001670973,0.0002098114,0.0001421521,0.00008713422,0.00006064837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016528,"about_ca_system_score_gemma":0.00001003219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697188,"about_ca_topic_score_gemma":0.00001770596,"domain_scores_codex":[0.9982767,0.00008000257,0.0002877368,0.0005107996,0.0005451078,0.0002997117],"domain_scores_gemma":[0.9991227,0.00001840286,0.0001728749,0.0005281923,0.000004444194,0.0001533965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000113291,0.0009010452,0.9211577,0.000005939028,0.0001659543,0.000008535219,0.003314183,0.0388014,0.03327724,0.00001262596,0.0001372648,0.002104845],"study_design_scores_gemma":[0.002411699,0.001137288,0.8254843,0.0001168728,0.000398181,0.0000029898,0.0007461788,0.01786705,0.1480078,0.0008450357,0.001720293,0.001262309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774231,0.0001351223,0.005053566,0.00004123504,0.00006191988,0.0002828353,0.00001007684,0.00004491851,0.01694725],"genre_scores_gemma":[0.9585373,0.00005001021,0.04086311,0.00006142412,0.00003754166,0.00005052704,0.0000106855,0.00003056023,0.0003588855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1147305,"threshold_uncertainty_score":0.9990849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898560230","doi":"10.1016/j.atmosenv.2018.10.038","title":"Temporal and spatial variability of traffic-related PM2.5 sources: Comparison of exhaust and non-exhaust emissions","year":2018,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":205,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada; University of Toronto","funders":"Environment and Climate Change Canada; Canada Foundation for Innovation","keywords":"Environmental science; Particulates; Aerosol; Atmospheric sciences; Spatial variability; Apportionment; Road dust; Environmental engineering; Air pollution; Meteorology; Environmental chemistry; Chemistry; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.0175931309832179,"gpt":0.2715709837162253,"spread":0.2539778527330074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005936644,0.0001933883,0.0004028325,0.000003006993,0.0001796062,0.000007164161,0.0001367377,0.00015847,0.003163355],"category_scores_gemma":[0.00004175099,0.0001708964,0.00004010664,0.0001084615,0.001373327,0.00009956167,0.0002476049,0.0001553573,0.00004108367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101805,"about_ca_system_score_gemma":0.00001763305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565746,"about_ca_topic_score_gemma":0.00009460063,"domain_scores_codex":[0.9982277,0.0001088522,0.0006299093,0.000390195,0.0003369782,0.0003063358],"domain_scores_gemma":[0.9989097,0.0001065172,0.0003296099,0.0003495767,0.000004189098,0.0003004078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008714838,0.0006299144,0.9634464,0.00009478308,0.00002870432,9.850053e-7,0.006770868,0.005314577,0.001194998,0.00001281263,0.0007967736,0.02162199],"study_design_scores_gemma":[0.0008141713,0.0009779903,0.9506369,0.00004417356,0.00005501954,0.000003351807,0.0009097437,0.0396102,0.0007946718,0.000115473,0.005796762,0.0002415702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954642,0.00008733379,0.002733217,0.0003475468,0.00004944051,0.0003423072,0.000009384121,0.00001539882,0.0009511541],"genre_scores_gemma":[0.9897583,0.00007693116,0.009821723,0.0001135461,0.00002429705,0.000006855149,0.000005566166,0.00001427767,0.0001785786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03429563,"threshold_uncertainty_score":0.9977479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2159639772","doi":"10.1016/j.atmosenv.2011.07.054","title":"Improved estimate of the policy-relevant background ozone in the United States using the GEOS-Chem global model with 1/2° × 2/3° horizontal resolution over North America","year":2011,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":205,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Dalhousie University","funders":"National Aeronautics and Space Administration","keywords":"Environmental science; Atmospheric sciences; Climatology; Altitude (triangle); Ozone; Air quality index; Ozone Monitoring Instrument; National Ambient Air Quality Standards; Ozone layer; Meteorology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01792660274048143,"gpt":0.2105163230761152,"spread":0.1925897203356338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000156319,0.0002398323,0.0001854199,8.561992e-7,0.0002442387,0.00002652578,0.0005149175,0.00005628112,0.0002360008],"category_scores_gemma":[0.000008821077,0.0001136637,0.00006966895,0.0005064511,0.0005483981,0.0001174262,0.00006211088,0.0001987019,0.000006787619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006749056,"about_ca_system_score_gemma":0.00007401776,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0303115,"about_ca_topic_score_gemma":0.001591203,"domain_scores_codex":[0.9985455,0.00009801525,0.0002916673,0.000285222,0.0003722505,0.0004073721],"domain_scores_gemma":[0.9991119,0.00006300575,0.000240278,0.0005122121,0.000008666038,0.00006397086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001685691,0.0001123251,0.2403913,0.0000125605,0.00004550658,0.00000693456,0.001332617,0.7560638,0.0001459597,0.00001764029,0.00003744334,0.001665357],"study_design_scores_gemma":[0.000344623,0.000159117,0.2598591,0.00001672215,0.00004735348,0.00001689511,0.001503363,0.7373714,0.00006018228,0.0001104981,0.0003351141,0.0001756188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899896,0.0001563155,0.008805244,0.0001731851,0.00002877972,0.0003247882,0.00007046042,0.00001214786,0.000439417],"genre_scores_gemma":[0.9798158,0.0001305899,0.01954611,0.0003422525,0.00003497088,0.000005917977,0.00005450328,0.000007302912,0.00006255903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02872029,"threshold_uncertainty_score":0.9761457,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987522179","doi":"10.1016/j.atmosenv.2014.12.003","title":"Feedbacks between air pollution and weather, Part 1: Effects on weather","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":200,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"European Regional Development Fund; Environment Canada; Clean Air Regulatory Agenda; Agenzia Spaziale Italiana; Ministerio de Educación, Cultura y Deporte; European Commission; National Science Foundation","keywords":"Environmental science; Meteorology; Air pollution; Weather patterns; Weather prediction; Weather modification; Weather Research and Forecasting Model; Climatology; Atmospheric sciences; Geography; Climate change; Geology; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.005239623649321206,"gpt":0.1703030254125508,"spread":0.1650634017632296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001895208,0.0002455411,0.0002337269,6.374393e-7,0.0001811473,0.00002426027,0.0001401818,0.0001157366,0.001924892],"category_scores_gemma":[0.00001718801,0.0002008838,0.00005982088,0.0000644334,0.000119929,0.0000852296,0.00002138778,0.0001508858,0.0006837416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001541388,"about_ca_system_score_gemma":0.000006620995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001372199,"about_ca_topic_score_gemma":0.000006689869,"domain_scores_codex":[0.9986989,0.00008320708,0.0001874702,0.0004221418,0.000259329,0.0003489665],"domain_scores_gemma":[0.9992332,0.0001752508,0.00008537106,0.0003005805,0.000002250742,0.0002033066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004776147,0.0000593141,0.6934659,0.00005186266,0.00007627405,0.00000958345,0.0001829868,0.009539539,0.0003406296,0.00004500856,0.002069718,0.2941114],"study_design_scores_gemma":[0.0006254612,0.0004721046,0.7980731,0.00004422699,0.00004604934,0.000005049448,0.00004735041,0.001225433,0.001189891,0.0003771351,0.1975131,0.000381113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869081,0.0003850237,0.001433173,0.0008324613,0.0001438531,0.0002082301,0.00001091862,0.0000622047,0.01001606],"genre_scores_gemma":[0.9922334,0.0001660783,0.003389003,0.001137712,0.0004347007,0.000005188027,0.00003244527,0.00001078355,0.002590716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2937303,"threshold_uncertainty_score":0.9989875,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999835594","doi":"10.1016/j.atmosenv.2013.04.012","title":"Calibration and application of PUF disk passive air samplers for tracking polycyclic aromatic compounds (PACs)","year":2013,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Calibration; Environmental science; Particulates; Sampling (signal processing); Volume (thermodynamics); Environmental chemistry; Chemistry; Computer science; Physics; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.00611514792309238,"gpt":0.2023989439766596,"spread":0.1962837960535672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000942447,0.0001829655,0.0002031636,0.00000292868,0.0001086521,0.00002079555,0.0001555435,0.00007161641,0.0003852155],"category_scores_gemma":[0.0000252282,0.0001660087,0.00004966163,0.0000957568,0.0002527248,0.0003625132,0.00008312894,0.00005976292,0.00007593526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002523854,"about_ca_system_score_gemma":0.000005459197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003660864,"about_ca_topic_score_gemma":0.00001734258,"domain_scores_codex":[0.9987601,0.00003637755,0.0003277517,0.0003285433,0.0002606747,0.000286577],"domain_scores_gemma":[0.9992357,0.0001120228,0.0002365013,0.000277612,2.986756e-7,0.0001378195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002411519,0.0003112555,0.06565071,0.00002221224,0.00007454059,6.042084e-7,0.001473781,0.002270954,0.4002173,0.00002982714,0.0007616319,0.5291631],"study_design_scores_gemma":[0.0005996003,0.0001831815,0.9378706,0.00001025851,0.00004951972,0.000006865539,0.000354957,0.04979628,0.007446866,0.001792394,0.00160691,0.0002826309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8582783,0.00006520731,0.1396825,0.0006751895,0.00003477039,0.001038961,0.00001803584,0.00003554864,0.000171451],"genre_scores_gemma":[0.9785448,0.00004338738,0.02090269,0.0001994337,0.00002281462,0.0001264082,0.000005521543,0.00003035463,0.0001245934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8722198,"threshold_uncertainty_score":0.6769639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123768945","doi":"10.1016/j.atmosenv.2011.07.068","title":"Satellite-based estimates of ground-level fine particulate matter during extreme events: A case study of the Moscow fires in 2010","year":2011,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":183,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"AERONET; Environmental science; Aerosol; Particulates; Satellite; Biomass burning; Atmospheric sciences; Meteorology; Pollution; Climatology; Air pollution; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.03399327673757067,"gpt":0.195807330486092,"spread":0.1618140537485213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001283486,0.0001954902,0.0002516298,0.000001023099,0.00007612937,0.000005624881,0.0002284061,0.00005393112,0.004552583],"category_scores_gemma":[0.00001148586,0.0001371472,0.00006281037,0.0001702648,0.0001292769,0.00009225809,0.0000429028,0.0001107242,0.00003323762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000132084,"about_ca_system_score_gemma":0.00001541582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107679,"about_ca_topic_score_gemma":0.001084412,"domain_scores_codex":[0.9986907,0.00006626311,0.0004500405,0.0002798073,0.0002494971,0.0002637451],"domain_scores_gemma":[0.9991986,0.00007323672,0.0002193004,0.0004364885,0.000006815527,0.00006562299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005356789,0.0004428511,0.9757289,0.00004611667,0.00002836761,0.0001633732,0.001353267,0.0207629,0.0006259948,1.183909e-7,0.000003385215,0.0007911794],"study_design_scores_gemma":[0.0007267173,0.000133005,0.9905466,0.00004213981,0.00003844717,0.00004820658,0.0008842009,0.002991853,0.00439039,0.00003849093,0.000006861859,0.0001531038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991205,0.000270272,0.00006723839,0.00002639421,0.00006568994,0.0003365115,0.00001219233,0.000007645654,0.00009353493],"genre_scores_gemma":[0.9944604,0.00001616383,0.005268139,0.0000208391,0.000009828469,0.000009395965,0.000004563318,0.000007166235,0.000203481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01777105,"threshold_uncertainty_score":0.9963574,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2082269537","doi":"10.1016/j.atmosenv.2005.03.008","title":"Evaluation of the potential source contribution function using the 2002 Quebec forest fire episode","year":2005,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":182,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"International Atomic Energy Agency; U.S. Environmental Protection Agency","keywords":"HYSPLIT; Environmental science; Aerodynamic diameter; Atmospheric sciences; Particulates; Meteorology; Particle (ecology); Aerosol; Geography; Chemistry; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.009991185849242282,"gpt":0.1913338882228197,"spread":0.1813427023735774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006132215,0.0001311122,0.0001091817,2.457111e-7,0.0003188543,0.00002267635,0.0001897668,0.0000721573,0.005433413],"category_scores_gemma":[0.00003312472,0.00007839887,0.00009580165,0.00009915527,0.0001720059,0.0001335605,0.00002444071,0.0001166528,0.00006969082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006237904,"about_ca_system_score_gemma":0.0000477568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00462393,"about_ca_topic_score_gemma":0.002106193,"domain_scores_codex":[0.9984586,0.0001703802,0.000238408,0.0001962747,0.0007245168,0.0002118719],"domain_scores_gemma":[0.9993774,0.00004316704,0.0002048642,0.0003032681,0.00002740934,0.00004388889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000162721,0.00002502322,0.06137608,0.000002399523,0.00003071014,1.471367e-7,0.00004485644,0.8724744,0.0005753651,0.000003636422,0.0001703654,0.06528069],"study_design_scores_gemma":[0.0003263436,0.00002529869,0.3657019,0.000009552688,0.0002380196,0.00000610165,0.00013192,0.6250703,0.0004128664,0.0000789295,0.007900794,0.00009808292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775069,0.001676112,0.01964319,0.0003693902,0.0001688091,0.0003324625,0.000007481789,0.00001207902,0.0002835229],"genre_scores_gemma":[0.9979014,0.00003836395,0.0007408079,0.0001325805,0.0002226355,0.000004137337,0.00001863552,0.000004180891,0.0009372855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3043258,"threshold_uncertainty_score":0.9954758,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013720561","doi":"10.1016/j.atmosenv.2010.10.024","title":"Canadian National Air Pollution Surveillance (NAPS) PM2.5 speciation program: Methodology and PM2.5 chemical composition for the years 2003–2008","year":2010,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":180,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Environmental chemistry; Nitrate; Total organic carbon; Environmental science; Pollution; Air pollution; Chemical composition; Particulates; Ammonium nitrate; Ammonium; Genetic algorithm; Mass concentration (chemistry); Sampling (signal processing); Chemistry; Filter (signal processing)","retraction":null,"screen_n_in":null,"score":{"opus":0.0290707670516561,"gpt":0.2917036582446199,"spread":0.2626328911929637,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000939883,0.000127817,0.0001342801,0.000003435298,0.0002743666,0.00001823011,0.000132009,0.0001432479,0.0007586407],"category_scores_gemma":[0.0001142474,0.0001122762,0.0000314542,0.0001268396,0.0002624176,0.0001070603,0.00005153092,0.0001946562,0.0001127777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005977049,"about_ca_system_score_gemma":0.00006264097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01521066,"about_ca_topic_score_gemma":0.01530848,"domain_scores_codex":[0.9987039,0.0001091884,0.0002194781,0.0002980756,0.0002910566,0.000378288],"domain_scores_gemma":[0.9993017,0.0001721403,0.0001069967,0.00017481,0.00000863132,0.0002357674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004168981,0.0009930424,0.1244826,0.00008262349,0.0001764296,0.00001150003,0.003454922,0.07508512,0.02483149,0.007695409,0.1539776,0.6087924],"study_design_scores_gemma":[0.0003629157,0.00008423334,0.7660918,0.000002099813,0.00001085876,0.00001502244,0.00003905881,0.006095895,0.0001659404,0.0006838046,0.2262865,0.0001618735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429284,0.0001737396,0.01944349,0.0336527,0.0005615383,0.002152435,0.00008562164,0.0000645781,0.0009375208],"genre_scores_gemma":[0.8858619,0.0000972132,0.1091672,0.004270391,0.0001699347,0.0001519513,0.00006205183,0.00001548708,0.0002038648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6416093,"threshold_uncertainty_score":0.9913471,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007526782","doi":"10.1016/j.atmosenv.2014.10.021","title":"Feedbacks between air pollution and weather, part 2: Effects on chemistry","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":172,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Environment Canada; European Regional Development Fund; Clean Air Regulatory Agenda; European Commission; National Science Foundation","keywords":"Air pollution; Environmental science; Meteorology; Pollution; Atmospheric sciences; Climatology; Chemistry; Geography; Geology; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.004267528673116426,"gpt":0.1639559265751615,"spread":0.1596883979020451,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001557027,0.0002290497,0.0002146298,3.129114e-7,0.0001662288,0.00002177653,0.0001375602,0.0001200313,0.002063105],"category_scores_gemma":[0.00002193241,0.0001967214,0.00005337246,0.00005637131,0.0001181858,0.00006900604,0.00002162416,0.0001577689,0.000351257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001543523,"about_ca_system_score_gemma":0.000007392052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000779105,"about_ca_topic_score_gemma":0.000001990314,"domain_scores_codex":[0.9988056,0.00004752951,0.0001783666,0.0004068546,0.0002404359,0.0003211755],"domain_scores_gemma":[0.9992597,0.0001579488,0.00008465852,0.0002861507,0.000002203994,0.0002094081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000602168,0.00007517053,0.6634921,0.0001532117,0.00009447029,0.00001454803,0.0001469438,0.01432244,0.002030053,0.00001476965,0.002298125,0.317298],"study_design_scores_gemma":[0.0008121732,0.0003222725,0.8101903,0.00006671901,0.00005728699,0.000009415695,0.00005671085,0.00179619,0.008940971,0.0003176607,0.1769007,0.0005296867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881606,0.0002961623,0.000757152,0.0006019429,0.00008476934,0.0001371016,0.0000111531,0.00005552467,0.009895603],"genre_scores_gemma":[0.9942184,0.0001398038,0.002332699,0.0007090108,0.0004411698,0.00000427749,0.00004938184,0.000008442857,0.002096815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3167683,"threshold_uncertainty_score":0.9988492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2051488287","doi":"10.1016/j.atmosenv.2004.08.014","title":"Kinetics and products of the reaction of gas-phase ozone with anthracene adsorbed at the air–aqueous interface","year":2004,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":161,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Anthracene; Ozone; Chemistry; Aqueous solution; Adsorption; Kinetics; Photochemistry; Chemical kinetics; Chemical reaction; Aqueous two-phase system; Reactions on surfaces; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.006052213183414197,"gpt":0.1865666566204423,"spread":0.180514443437028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008062301,0.0001388994,0.0001544843,2.749928e-7,0.00009435703,0.000004826289,0.0001526835,0.00004122098,0.0003167765],"category_scores_gemma":[0.00001475439,0.0000730186,0.00002883992,0.0001147654,0.0004927102,0.0000518933,0.00004124635,0.00009689804,0.000008849673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001924133,"about_ca_system_score_gemma":0.00001636354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003835254,"about_ca_topic_score_gemma":0.00007861159,"domain_scores_codex":[0.9991341,0.00003042284,0.0002050832,0.0002247205,0.000246376,0.0001592524],"domain_scores_gemma":[0.9993166,0.00004202899,0.0002134738,0.0003725838,0.000009141815,0.00004618858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008810975,0.0008274022,0.06822726,0.0002035012,0.0001769964,0.00001840816,0.00205344,0.2656494,0.61679,0.0000093829,0.0002228238,0.04494029],"study_design_scores_gemma":[0.001960928,0.001271578,0.1542701,0.0001054947,0.0001207653,0.0001340683,0.0007254307,0.0006306628,0.8341087,0.00007360607,0.00631055,0.0002880754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964336,0.001542755,0.000304208,0.001084184,0.00005226331,0.0002512443,0.00001286915,0.000007744143,0.000311192],"genre_scores_gemma":[0.9962122,0.0004511523,0.00276289,0.00004592194,0.0000256496,0.000002050812,0.000007384712,0.000005300349,0.0004874493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2650187,"threshold_uncertainty_score":0.346848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060468368","doi":"10.1016/s1352-2310(02)00917-2","title":"Temporal and spatial variability of total gaseous mercury in Canada: results from the Canadian Atmospheric Mercury Measurement Network (CAMNet)","year":2003,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sunrise; Noon; Diel vertical migration; Environmental science; Mercury (programming language); Atmospheric sciences; Sunset; Seasonality; Diurnal cycle; Diurnal temperature variation; Daytime; Climatology; Ecology; Oceanography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01160144229465768,"gpt":0.181787224426301,"spread":0.1701857821316433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001247234,0.000305017,0.0003676573,9.940073e-7,0.0002830667,0.00001837405,0.0001834377,0.00008179752,0.001749772],"category_scores_gemma":[0.0002144478,0.000242628,0.00005370948,0.0002137905,0.0003314544,0.00008676982,0.0001278861,0.0002203487,0.00002895253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003028214,"about_ca_system_score_gemma":0.0005300854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971955,"about_ca_topic_score_gemma":0.9974779,"domain_scores_codex":[0.9969467,0.0004141675,0.0006538611,0.000538851,0.0008375377,0.0006089039],"domain_scores_gemma":[0.9986734,0.0002318795,0.0002248274,0.0005366599,0.000008441214,0.0003247435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004195937,0.00006001729,0.9581977,0.000004019847,0.0000572888,0.00001772419,0.0007171938,0.03062664,0.00008674557,0.0000209937,0.004146574,0.006023188],"study_design_scores_gemma":[0.0006868874,0.00006127247,0.9746257,0.00001881079,0.00004532021,0.000005508094,0.0004321802,0.001894967,0.00005254415,0.0002077204,0.02166703,0.0003020426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931258,0.0007919001,0.0003703177,0.0007221251,0.0002684178,0.0006150574,0.00006650409,0.000009017223,0.004030868],"genre_scores_gemma":[0.996021,0.0001722604,0.003205334,0.0004087105,0.00004203086,0.0000386705,0.00001521472,0.00002017519,0.00007658541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02873168,"threshold_uncertainty_score":0.9991628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061479794","doi":"10.1016/j.atmosenv.2013.11.061","title":"Elderly exposure to indoor air pollutants","year":2013,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Fundação para a Ciência e a Tecnologia; Ministère de la Santé et des Services sociaux","keywords":"Indoor air quality; Pollutant; Environmental science; Environmental health; Air pollutants; Ventilation (architecture); Indoor air; Air pollution; Environmental engineering; Medicine; Geography; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.01199905394631286,"gpt":0.2303332682959947,"spread":0.2183342143496818,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002074693,0.0002359907,0.0002145219,0.000002462776,0.0001977696,0.00002519641,0.0003069412,0.0001113546,0.03994608],"category_scores_gemma":[0.00002613643,0.0002117711,0.00005700849,0.0001734636,0.0001217766,0.0002922502,0.0002682956,0.0001622326,0.04139421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004211273,"about_ca_system_score_gemma":0.00001159432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009480435,"about_ca_topic_score_gemma":0.00003055124,"domain_scores_codex":[0.9979237,0.00008032558,0.0003490712,0.0004566066,0.0005061396,0.0006841436],"domain_scores_gemma":[0.9986883,0.00003964476,0.00008943924,0.0005170099,0.000001793803,0.0006637977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005269575,0.0006496272,0.1809615,0.00003064978,0.00004263968,0.00002499631,0.004092305,0.02186045,0.004811582,0.0001019093,0.1176825,0.6696891],"study_design_scores_gemma":[0.0003731046,0.0008125273,0.8385581,0.00001045368,0.000008624051,0.000006269723,0.0002626121,0.0004294132,0.0001926353,0.0004112164,0.1585867,0.0003482873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760121,0.00007935322,0.003701004,0.01178652,0.000129796,0.0009006649,0.000006351867,0.00007806257,0.007306186],"genre_scores_gemma":[0.9443786,0.00005232275,0.03198487,0.01813061,0.00006346295,0.0001379571,0.000001801359,0.00003183463,0.005218545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6693408,"threshold_uncertainty_score":0.9609315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033196178","doi":"10.1016/s1352-2310(02)00112-7","title":"Atmospheric mercury concentrations: measurements and profiles near snow and ice surfaces in the Canadian Arctic during Alert 2000","year":2002,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":159,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Snow; Mercury (programming language); Ozone; Troposphere; Arctic; Atmospheric sciences; Elemental mercury; Environmental science; Ozone depletion; Environmental chemistry; Chemistry; Meteorology; Geology; Oceanography; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02147739866910461,"gpt":0.2105945735926431,"spread":0.1891171749235384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002637042,0.0002157076,0.0001695269,0.000001384248,0.0006129697,0.00009849937,0.0001405209,0.00005832023,0.00301728],"category_scores_gemma":[0.00004024889,0.0001694128,0.00002382289,0.0001685028,0.0004773061,0.0002562046,0.00007311763,0.0001366701,0.0002124841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005213561,"about_ca_system_score_gemma":0.00001546404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02988432,"about_ca_topic_score_gemma":0.02826,"domain_scores_codex":[0.9984359,0.0001256944,0.0002459968,0.0003515978,0.0004115499,0.0004292705],"domain_scores_gemma":[0.9994372,0.00006406834,0.00007506896,0.0002288774,0.000003350194,0.0001914007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005788264,0.00006886569,0.9846876,0.00001440325,0.00002874884,0.00001193339,0.006872016,0.002715337,0.000491373,0.000007816286,0.0006806485,0.004415493],"study_design_scores_gemma":[0.0004177543,0.00005657669,0.9839116,0.00002348098,0.00002892482,0.00001924206,0.001014985,0.003319116,0.00006458927,0.0000335474,0.01087087,0.0002393108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920543,0.003117657,0.000008614978,0.001489487,0.00004231139,0.0005277802,0.000003850722,0.00001285071,0.002743118],"genre_scores_gemma":[0.994338,0.002018581,0.002219704,0.0006112476,0.00001532514,0.0000813661,0.00000273481,0.00001498306,0.0006980218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019022,"threshold_uncertainty_score":0.9978941,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968000270","doi":"10.1016/j.atmosenv.2004.10.016","title":"The 23rd October 2002 dust storm in eastern Australia: characteristics and meteorological conditions","year":2005,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":158,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Griffith University; University of South Australia; University of Victoria","keywords":"Dust storm; Environmental science; Storm; Wind speed; Atmospheric sciences; Visibility; Meteorology; Plume; Climatology; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01351408801741032,"gpt":0.2113466788285438,"spread":0.1978325908111335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001441432,0.0001219277,0.0001202882,0.000001560635,0.0001594802,0.00004082406,0.0001095014,0.00006503267,0.005245887],"category_scores_gemma":[0.00001179084,0.00007898592,0.00002286644,0.00004965238,0.0001694775,0.0001059673,0.00001889519,0.0001394478,0.001042402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001174277,"about_ca_system_score_gemma":0.000005490761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000228509,"about_ca_topic_score_gemma":0.0006888601,"domain_scores_codex":[0.9991686,0.00004256049,0.0001687072,0.0001959998,0.000139843,0.0002843253],"domain_scores_gemma":[0.999602,0.0001085144,0.00005502626,0.0001278359,0.000002333355,0.0001042694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001867859,0.00003023718,0.9541727,0.000006023532,0.00001167519,0.0000194354,0.000107122,0.003599761,0.00000609092,0.00003475929,0.000816358,0.04117715],"study_design_scores_gemma":[0.0001574048,0.0000974354,0.9084624,0.000004370616,0.00001029754,0.00001142625,0.00006310629,0.01937525,0.000002715017,0.00005192667,0.07166019,0.000103461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972966,0.0008284881,0.00007922987,0.0008768116,0.00007470982,0.000140521,0.00001697982,0.00001119423,0.0006754054],"genre_scores_gemma":[0.9955723,0.0007047197,0.000762016,0.0003031768,0.00009274068,0.000005654789,0.00001734341,0.000002983228,0.002539098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07084384,"threshold_uncertainty_score":0.9997354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020389567","doi":"10.1016/j.atmosenv.2008.11.030","title":"Zn isotope study of atmospheric emissions and dry depositions within a 5 km radius of a Pb–Zn refinery","year":2008,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":150,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Refinery; Fractionation; Chimney (locomotive); Environmental chemistry; Evaporation; Enrichment factor; Isotope fractionation; Smelting; Deposition (geology); Environmental science; Cinder; Aerosol; Chemistry; Metallurgy; Environmental engineering; Materials science; Geology; Meteorology; Smoke; Sediment","retraction":null,"screen_n_in":null,"score":{"opus":0.01194482366493632,"gpt":0.2138270746679737,"spread":0.2018822510030374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003983417,0.0004504815,0.0006639027,0.000004379594,0.0003150019,0.000008122752,0.0004201694,0.0001535751,0.002678726],"category_scores_gemma":[0.00004967639,0.0004121295,0.0001346792,0.000363779,0.00101254,0.0002147371,0.0007111331,0.0002828824,0.000151204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344006,"about_ca_system_score_gemma":0.00002424959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058547,"about_ca_topic_score_gemma":0.00004147641,"domain_scores_codex":[0.9963432,0.000279086,0.001061248,0.0008288289,0.0009924104,0.0004952572],"domain_scores_gemma":[0.9979119,0.0001406462,0.0004904584,0.001103306,0.000004057997,0.0003496542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001131899,0.006200611,0.8307024,0.0000468958,0.0002301568,0.0001455582,0.008791293,0.0860048,0.06093796,0.00002889363,0.0006953126,0.006102908],"study_design_scores_gemma":[0.002372525,0.002147159,0.9741546,0.00005909761,0.0002593423,0.0001131542,0.002581332,0.005526948,0.005229948,0.0000969098,0.006648545,0.0008104735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942975,0.0005414843,0.002148603,0.0000868893,0.0001010771,0.001007365,0.00001107016,0.00004022898,0.001765806],"genre_scores_gemma":[0.9155691,0.0008675741,0.08163932,0.0001111997,0.00002415051,0.0001723994,0.00000613234,0.00006303646,0.001547112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1434522,"threshold_uncertainty_score":0.999833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2766494950","doi":"10.1016/j.atmosenv.2017.10.028","title":"Assessing temporal trends and source regions of per- and polyfluoroalkyl substances (PFASs) in air under the Arctic Monitoring and Assessment Programme (AMAP)","year":2017,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministry of the Environment, Conservation and Parks; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; Indigenous and Northern Affairs Canada; Miljødirektoratet; Ministry of Environment","keywords":"Perfluorooctanoic acid; Perfluorooctane; Environmental chemistry; Arctic; Environmental science; Chemistry; Oceanography; Sulfonate; Organic chemistry; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.03423656344742437,"gpt":0.3089708262572955,"spread":0.2747342628098712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005275726,0.0002445667,0.0002717192,0.000008376235,0.0006351356,0.0001723073,0.0003196526,0.00008498171,0.000132923],"category_scores_gemma":[0.00001270586,0.0001829539,0.00004078404,0.00009338548,0.001427336,0.0005975532,0.0004667132,0.0003030968,0.00000347316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308226,"about_ca_system_score_gemma":0.00001508734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002947018,"about_ca_topic_score_gemma":0.0004442339,"domain_scores_codex":[0.9980547,0.0001255085,0.0002937608,0.000511012,0.0005064405,0.0005085337],"domain_scores_gemma":[0.998925,0.0001164489,0.0002157112,0.000554849,0.000003247848,0.0001847814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009624368,0.00007128051,0.7564865,0.00001508776,0.00001477459,0.000005100596,0.0005630177,0.0002252647,0.001080179,0.00003341217,0.000008304795,0.2414874],"study_design_scores_gemma":[0.0005156319,0.000103319,0.988309,0.00005234905,0.00002138081,0.00001350151,0.002584955,0.001295761,0.0001503359,0.0001917005,0.006550788,0.000211305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836761,0.01274472,0.0003129873,0.001811006,0.00004783986,0.0002229698,0.000001433817,0.00001260824,0.001170265],"genre_scores_gemma":[0.9886831,0.003299481,0.007036869,0.00002902144,0.000032038,0.0000618469,0.00000158773,0.00002252945,0.0008335388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2412761,"threshold_uncertainty_score":0.7460645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077036398","doi":"10.1016/j.atmosenv.2014.02.055","title":"Characterizing metal(loid) solubility in airborne PM10, PM2.5 and PM1 in Frankfurt, Germany using simulated lung fluids","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Solubility; Environmental chemistry; Chemistry; Metal; Extraction (chemistry); Chromatography; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01668173905649703,"gpt":0.2563815776610877,"spread":0.2396998386045907,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001340875,0.0003150991,0.000457779,0.000009110986,0.000154066,0.000028391,0.0001979121,0.0001868523,0.001620173],"category_scores_gemma":[0.00006290288,0.0003195797,0.0000539763,0.0002506364,0.0002338244,0.0004320364,0.0003368291,0.0003493905,0.0001488372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008591471,"about_ca_system_score_gemma":0.00001441456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002236486,"about_ca_topic_score_gemma":0.0001230909,"domain_scores_codex":[0.9971423,0.000340321,0.0006793671,0.0006784542,0.0003974826,0.0007620598],"domain_scores_gemma":[0.9989419,0.0001408896,0.0001593551,0.0004696472,0.000001560905,0.0002866258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009016249,0.0005175237,0.8366069,0.0001107984,0.00002003584,0.00002614035,0.003204445,0.1283324,0.01580483,0.00003651818,0.00005443792,0.0151958],"study_design_scores_gemma":[0.000716038,0.00007675545,0.7304958,0.0000363108,0.0000142982,0.000003444516,0.00006813856,0.2641053,0.0002352248,0.0001382064,0.003816267,0.0002942423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955726,0.0002717802,0.002427779,0.0006921064,0.00008522956,0.0004904915,0.000002769629,0.00003561489,0.0004216427],"genre_scores_gemma":[0.9903511,0.0001783024,0.007057248,0.002222736,0.0000346357,0.000009771245,0.000005847651,0.00003432125,0.0001060309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1357729,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981621839","doi":"10.1016/j.atmosenv.2007.07.024","title":"The effect of temperature on the gas–particle partitioning of reactive mercury in atmospheric aerosols","year":2007,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Research Council Canada; University of California, San Diego; U.S. Environmental Protection Agency","keywords":"Aerosol; Chemistry; Mercury (programming language); Ozone; Particle (ecology); Scanning mobility particle sizer; Analytical Chemistry (journal); Particle size; Environmental chemistry; Particle-size distribution","retraction":null,"screen_n_in":null,"score":{"opus":0.006399690671499312,"gpt":0.2244420779665042,"spread":0.2180423872950049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152858,0.000173157,0.0002152868,6.324405e-7,0.0002059779,0.00001029167,0.0001906155,0.00005302557,0.0005825661],"category_scores_gemma":[0.000111454,0.0000942437,0.00008118856,0.0002597813,0.0005051366,0.00008658286,0.0001083385,0.000172652,0.0001041525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675065,"about_ca_system_score_gemma":0.000004230341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525641,"about_ca_topic_score_gemma":0.00004779872,"domain_scores_codex":[0.9984671,0.0001742223,0.0003816537,0.0002122163,0.0004333761,0.0003313883],"domain_scores_gemma":[0.9984513,0.0009119405,0.0002084465,0.0003652337,0.000003130965,0.00005994436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003430639,0.000191908,0.8207538,0.0000147874,0.00008327638,0.000007782976,0.002399037,0.01146452,0.1500131,0.0004612666,0.001211851,0.01305559],"study_design_scores_gemma":[0.0006511327,0.0008759327,0.7638785,0.00005224215,0.000039994,0.000002937464,0.001493626,0.0004309708,0.2288568,0.0001295125,0.003384083,0.0002043569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957658,0.0002886793,0.00005736523,0.0004671194,0.00006320382,0.0004388114,0.00000180077,0.000008601876,0.002908637],"genre_scores_gemma":[0.9990268,0.0002124297,0.0003060972,0.0001161561,0.00001617519,0.00005437342,0.000001027259,0.00001319392,0.0002537345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07884368,"threshold_uncertainty_score":0.637869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008959035","doi":"10.1016/j.atmosenv.2011.05.043","title":"Comparing universal kriging and land-use regression for predicting concentrations of gaseous oxides of nitrogen (NOx) for the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)","year":2011,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"National Institutes of Health; National Institute of Environmental Health Sciences; Swedish Foundation for International Cooperation in Research and Higher Education; University of Washington; University of Southern California","keywords":"NOx; Air pollution; Environmental science; Nitrogen oxides; Kriging; Atmospheric sciences; Ethnic group; Nitrogen oxide; Nitrogen dioxide; Particulates; Environmental chemistry; Meteorology; Environmental engineering; Chemistry; Geography; Waste management; Statistics; Mathematics; Engineering; Political science; Geology; Combustion","retraction":null,"screen_n_in":null,"score":{"opus":0.09561950169567368,"gpt":0.2855718571074792,"spread":0.1899523554118055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003353286,0.0001080816,0.0002070279,0.000002578612,0.0001894982,0.00000242974,0.00008426229,0.00004254989,0.00002400834],"category_scores_gemma":[0.00003315053,0.0000811416,0.00003503817,0.00005066138,0.0002561719,0.0001373921,0.00009748025,0.00004949272,2.565746e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006592207,"about_ca_system_score_gemma":0.000008172045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110222,"about_ca_topic_score_gemma":0.0002754616,"domain_scores_codex":[0.9991003,0.0000668622,0.0003162097,0.0001879312,0.0001478684,0.0001808797],"domain_scores_gemma":[0.9992176,0.0002306268,0.0003092065,0.0001676334,0.000004667138,0.00007028036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001155642,0.0003801042,0.9778935,0.00005551641,0.00003925553,8.403666e-8,0.009894552,0.008028492,0.00179216,0.00002365801,0.00001809615,0.001759067],"study_design_scores_gemma":[0.001598763,0.0007383923,0.9577445,0.00005892275,0.0001111298,8.121116e-7,0.006528119,0.03116697,0.001828584,0.00003257684,0.0001063003,0.00008487413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858176,0.000164509,0.01285122,0.00007811716,0.00001931793,0.001031886,0.00001921844,0.000008079626,0.00001012874],"genre_scores_gemma":[0.9809592,0.0002147894,0.0186901,0.00006488207,0.000005936881,0.00003323859,0.000002063978,0.00001025479,0.00001957433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02313848,"threshold_uncertainty_score":0.3308858,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782634525","doi":"10.1016/j.atmosenv.2018.01.013","title":"Impacts of a large boreal wildfire on ground level atmospheric concentrations of PAHs, VOCs and ozone","year":2018,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":142,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Alberta Conservation Association; Alberta Environment and Protected Areas","funders":"National Aeronautics and Space Administration","keywords":"Environmental science; Boreal; Taiga; Environmental chemistry; Ozone; Air quality index; Volatile organic compound; Acetaldehyde; Atmospheric sciences; Chemistry; Meteorology; Forestry; Ecology; Geology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01199934583655638,"gpt":0.2087918995397764,"spread":0.19679255370322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002022327,0.0002408576,0.0003285689,4.300471e-7,0.0001551486,0.00001637667,0.0001796805,0.0001098182,0.002442669],"category_scores_gemma":[0.00003071314,0.0002060258,0.00007168884,0.0001680907,0.0005312869,0.000142785,0.0000317121,0.0001157815,0.00005132591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000171478,"about_ca_system_score_gemma":0.00004707509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015588,"about_ca_topic_score_gemma":0.0002092651,"domain_scores_codex":[0.9984406,0.00005616165,0.000405546,0.0003542622,0.0003516288,0.000391799],"domain_scores_gemma":[0.9990432,0.0001314312,0.0002673945,0.0003503182,0.00001256971,0.0001951315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001380732,0.0002473073,0.9846056,0.00005123593,0.00009176494,0.000009351262,0.0007197981,0.0005389376,0.001435497,0.0001052305,0.0005644509,0.01149275],"study_design_scores_gemma":[0.0008321881,0.0008648689,0.9867668,0.00005100409,0.00004692798,0.00001140423,0.0004566734,0.004704649,0.0018955,0.000116384,0.003994714,0.0002589597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947202,0.000750469,0.00141063,0.0001029887,0.00008870897,0.0002091642,0.0001420727,0.00001829476,0.002557539],"genre_scores_gemma":[0.9859671,0.0005151724,0.0128331,0.0001827136,0.0001080711,0.000002532323,0.00007612693,0.00000919637,0.0003059783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142247,"threshold_uncertainty_score":0.9984692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981349398","doi":"10.1016/j.atmosenv.2004.10.020","title":"Photochemical production and loss of organic acids in high Arctic aerosols during long-range transport and polar sunrise ozone depletion events","year":2004,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":138,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Sunrise; Chemistry; Ozone; Aerosol; Environmental chemistry; Sulfate; Photochemistry; Oxalic acid; Atmospheric sciences; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.004233839540915349,"gpt":0.1660185729100741,"spread":0.1617847333691588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001160048,0.0001860143,0.0002298942,0.0000012911,0.00007061374,0.000006404644,0.00007535658,0.00009783931,0.0006349634],"category_scores_gemma":[0.00001509181,0.0001786013,0.00003050375,0.0001256411,0.0001642247,0.0001651435,0.00001528422,0.0001485042,0.0000098457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003777877,"about_ca_system_score_gemma":0.00001521103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009162248,"about_ca_topic_score_gemma":0.0002925864,"domain_scores_codex":[0.9987976,0.00002169066,0.0002914014,0.0004030195,0.0002310993,0.0002552192],"domain_scores_gemma":[0.9996023,0.00001528771,0.0000977361,0.000163497,0.000004982685,0.000116255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007992546,0.00008504119,0.9958839,0.000108374,0.00001527322,0.00002360165,0.0002277038,0.00189798,0.001653815,4.54439e-7,2.657603e-7,0.00002368074],"study_design_scores_gemma":[0.0008459008,0.00008693455,0.9977226,0.000083365,0.00002836945,0.00006437818,0.00007134873,0.00002779451,0.0007948775,0.00007745714,0.000008773305,0.0001881926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984928,0.000768819,0.0002317752,0.0001224182,0.0000449874,0.0003044448,0.00001037926,0.00001483683,0.000009528954],"genre_scores_gemma":[0.9965939,0.0009978635,0.002216696,0.00001824668,0.00004319058,0.000006577317,0.00004378504,0.000008397766,0.00007135653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001984921,"threshold_uncertainty_score":0.7283148,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2060600536","doi":"10.1016/j.atmosenv.2014.09.009","title":"Uncertainties of simulated aerosol optical properties induced by assumptions on aerosol physical and chemical properties: An AQMEII-2 perspective","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"European Regional Development Fund; Ministerio de Economía y Competitividad; European Commission; Ministrstvo za Izobraževanje, Znanost in Šport; Ministero dello Sviluppo Economico; U.S. Environmental Protection Agency; National Aeronautics and Space Administration","keywords":"Aerosol; AERONET; Single-scattering albedo; Mixing (physics); Albedo (alchemy); Environmental science; Range (aeronautics); Atmospheric sciences; Meteorology; Physics; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.01512738903713476,"gpt":0.203496724131384,"spread":0.1883693350942492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000119844,0.0003375281,0.0004005826,0.000001180131,0.0001720202,0.00004942094,0.0002189772,0.0001476475,0.0004633431],"category_scores_gemma":[0.00006755484,0.0002512723,0.00008048346,0.00009220662,0.0005704123,0.000204688,0.00004264588,0.0002713055,0.00006387196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003868296,"about_ca_system_score_gemma":0.00002599224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000501164,"about_ca_topic_score_gemma":0.000007556244,"domain_scores_codex":[0.9981878,0.00009171887,0.0003003604,0.0005947832,0.0004266438,0.0003986381],"domain_scores_gemma":[0.9991309,0.0001022856,0.0001186146,0.0003733539,0.00002301595,0.0002518458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000644625,0.001417006,0.01462722,0.0001238814,0.0002123367,0.00000502457,0.004813925,0.06053137,0.9067207,0.0001492798,0.0001582858,0.01059635],"study_design_scores_gemma":[0.003185431,0.005165673,0.01750887,0.0002525868,0.000236409,0.00002228422,0.007941282,0.319708,0.6424081,0.0004776534,0.000857943,0.002235767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976737,0.0002230451,0.000124504,0.0002229159,0.00004105688,0.0003092458,0.00001505447,0.000057169,0.001333257],"genre_scores_gemma":[0.9983894,0.00005113314,0.0009647959,0.0001203043,0.0001100815,0.000009327735,0.00002632622,0.00001523101,0.0003134476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2643126,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2316370978","doi":"10.1016/j.atmosenv.2016.03.054","title":"Characterizing and sourcing ambient PM2.5 over key emission regions in China I: Water-soluble ions and carbonaceous fractions","year":2016,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":132,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese Academy of Sciences","keywords":"Beijing; Pollution; Air pollution; Environmental science; Particulates; China; Megacity; Inorganic ions; Delta; Mass concentration (chemistry); Environmental chemistry; Air mass (solar energy); Aerosol; Atmospheric sciences; Meteorology; Geography; Chemistry; Ion; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.005803378963475824,"gpt":0.1750408181337811,"spread":0.1692374391703053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001233558,0.0001927863,0.0001808841,0.000001638958,0.0002962521,0.00003844433,0.00008138279,0.00008550386,0.001583848],"category_scores_gemma":[0.00001253892,0.0001235638,0.00003394706,0.00006043022,0.0001959702,0.0002343774,0.00005474928,0.0001305495,0.00003376655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000337366,"about_ca_system_score_gemma":0.000009903709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023178,"about_ca_topic_score_gemma":0.0000749856,"domain_scores_codex":[0.9987808,0.00003807277,0.0002230579,0.0004012201,0.0001601873,0.0003965983],"domain_scores_gemma":[0.9994459,0.00006531153,0.00006287971,0.0002087203,0.000002356488,0.0002149009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003971606,0.00008752022,0.8794842,0.00002894101,0.00002350653,0.00004924568,0.001854459,0.001215376,0.09831399,0.000007944068,0.00009438911,0.01880074],"study_design_scores_gemma":[0.0005934184,0.00008787173,0.9759755,0.0001121461,0.00001947153,0.00005794552,0.0003080809,0.001600381,0.002737039,0.0002510226,0.01794029,0.0003168335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968373,0.0004822951,0.000605569,0.0009006254,0.00008276491,0.0001389652,0.000007703601,0.00002957525,0.0009151822],"genre_scores_gemma":[0.9940268,0.001456503,0.001684219,0.00009283793,0.00005554524,0.000006271499,0.00001434624,0.000008442931,0.00265502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09649132,"threshold_uncertainty_score":0.9993289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095230982","doi":"10.1016/j.atmosenv.2013.11.065","title":"Spatially and seasonally resolved estimate of the ratio of organic mass to organic carbon","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":131,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Total organic carbon; Aerosol; Environmental science; Atmospheric sciences; Troposphere; Particulates; Environmental chemistry; Chemistry; Meteorology; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.004218385741392854,"gpt":0.1661185700005945,"spread":0.1619001842592016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001746613,0.00014604,0.0002120809,4.028398e-7,0.000062797,0.000009879042,0.0002372002,0.00005570285,0.00195994],"category_scores_gemma":[0.00005248822,0.0001053684,0.00003957211,0.000125552,0.0001318742,0.00003346943,0.00004701661,0.00007827181,0.00001698321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008786431,"about_ca_system_score_gemma":0.00003207156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001488126,"about_ca_topic_score_gemma":0.0001453408,"domain_scores_codex":[0.998974,0.00005627109,0.0002581081,0.0002392558,0.0002839359,0.0001884502],"domain_scores_gemma":[0.9993024,0.00008874644,0.0001541225,0.000338308,0.000009038746,0.0001073516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003274644,0.00002676872,0.8373607,0.00004535339,0.00003150281,0.000001239518,0.0002156145,0.01962305,0.1388136,0.00001056382,0.00003472239,0.003804195],"study_design_scores_gemma":[0.0004081257,0.0002700519,0.9295024,0.00004488679,0.00005728592,0.000005124088,0.00007062335,0.02487028,0.04285031,0.000169903,0.001504858,0.0002462068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930035,0.0001496767,0.004915687,0.0002499575,0.00006218107,0.0001791658,0.000006192117,0.00001009139,0.001423589],"genre_scores_gemma":[0.9864475,0.00003973178,0.0128058,0.0001233052,0.00003440927,0.000001390854,0.00000542342,0.000006921353,0.0005355716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09596328,"threshold_uncertainty_score":0.9989524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006652009","doi":"10.1016/j.atmosenv.2010.11.050","title":"An intercomparison of the deposition models used in the CASTNET and CAPMoN networks","year":2010,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":128,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Deposition (geology); Atmospheric sciences; Flux (metallurgy); Environmental science; Precipitation; Sulfur dioxide; Trace gas; Acid deposition; Acid rain; Meteorology; Soil science; Chemistry; Geography; Geology; Soil water","retraction":null,"screen_n_in":null,"score":{"opus":0.00788496808923189,"gpt":0.1835908144126397,"spread":0.1757058463234078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001817815,0.000104437,0.0001085651,2.646488e-7,0.00008489837,0.0000236513,0.0002559132,0.00006829484,0.0003009563],"category_scores_gemma":[0.000002433431,0.00006018377,0.00002957892,0.0000701786,0.0001547831,0.000122221,0.00001603247,0.000239062,0.000002702243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003432672,"about_ca_system_score_gemma":0.000006070365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339358,"about_ca_topic_score_gemma":0.001179574,"domain_scores_codex":[0.9992682,0.00007064555,0.0001691922,0.000174957,0.0001608385,0.0001562222],"domain_scores_gemma":[0.9995109,0.00006191477,0.00007718954,0.000303725,0.000001817696,0.00004445477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001526443,0.00005501353,0.630136,0.000005193389,0.000005395852,0.00000306466,0.0008808132,0.3599371,0.001438564,0.00001777404,0.00002944071,0.007476442],"study_design_scores_gemma":[0.0001555354,0.00005989128,0.5300283,0.000007256535,0.00001075807,0.00001539588,0.0004963835,0.4685584,0.0003054357,0.0001376735,0.0001376694,0.00008727224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961834,0.0001864419,0.002772775,0.0001106801,0.00007921926,0.0001539927,0.000003053788,0.000005327542,0.0005051288],"genre_scores_gemma":[0.9971284,0.00005179271,0.002618123,0.0001186258,0.00004296254,0.000002949454,0.00001168717,0.000002770136,0.00002265169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086213,"threshold_uncertainty_score":0.329526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024151702","doi":"10.1016/j.atmosenv.2015.04.033","title":"Variations in PM2.5, TSP, BC, and trace gases (NO2, SO2, and O3) between haze and non-haze episodes in winter over Xi'an, China","year":2015,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Central University Basic Research Fund of China; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology of the People's Republic of China","keywords":"Haze; Aerosol; Chemistry; Sulfate; Atmospheric sciences; Inorganic ions; Environmental chemistry; Trace gas; Environmental science; Total organic carbon; Ion; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01108086092421931,"gpt":0.2069231636559089,"spread":0.1958423027316896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002862948,0.0002372352,0.0002894198,0.000001946379,0.00007959643,0.00006802566,0.0001094067,0.0001138672,0.000645196],"category_scores_gemma":[0.00002574037,0.0002116391,0.00002126582,0.0001013245,0.0001958924,0.0003758935,0.00004910018,0.0001877089,0.00001891367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002205805,"about_ca_system_score_gemma":0.00002347973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303319,"about_ca_topic_score_gemma":0.0005994629,"domain_scores_codex":[0.9986401,0.0000686131,0.0002965331,0.0004720906,0.000193796,0.0003288754],"domain_scores_gemma":[0.9993387,0.00008917937,0.000080863,0.0002033359,0.000002935665,0.0002849971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002502012,0.00005629291,0.9880737,0.00001632767,0.00001258556,0.00001813173,0.001234667,0.002980548,0.000090642,0.000002817892,0.0001275346,0.007361705],"study_design_scores_gemma":[0.0008891766,0.0001662821,0.9885107,0.00002857024,0.00002007755,0.00001133726,0.0004409908,0.007213876,0.0000528011,0.0003869861,0.002012081,0.0002670717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967082,0.001277235,0.0005404874,0.0004947601,0.00003811893,0.0002068852,0.00002406645,0.00001437843,0.0006959423],"genre_scores_gemma":[0.9908209,0.0004156565,0.007862136,0.00009551785,0.00007500128,0.000006657079,0.00003722533,0.000008557352,0.0006783237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007321648,"threshold_uncertainty_score":0.8630394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144490447","doi":"10.1016/j.atmosenv.2008.01.049","title":"Greenhouse gas emissions from heavy-duty vehicles","year":2008,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Diesel fuel; Greenhouse gas; Ultra-low-sulfur diesel; Diesel particulate filter; Compressed natural gas; Environmental science; Waste management; Biodiesel; Biofuel; Environmental engineering; Engineering; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.009466647555344673,"gpt":0.1784333457790246,"spread":0.1689666982236799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003797228,0.000206162,0.0001779172,0.000002449546,0.000204871,0.000009157226,0.0001719502,0.00009538555,0.00185327],"category_scores_gemma":[0.000003226623,0.0001877688,0.00006997873,0.0000829553,0.00006980437,0.0001086658,0.00005995086,0.000193831,0.0006442626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023599,"about_ca_system_score_gemma":0.00001066393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000911619,"about_ca_topic_score_gemma":0.00000233625,"domain_scores_codex":[0.9990058,0.00001510341,0.0002259921,0.0002251255,0.0002163914,0.0003115994],"domain_scores_gemma":[0.9992924,0.00003520566,0.00002587867,0.0004275212,0.000002574236,0.0002163753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006951315,0.0006301994,0.2036763,0.00006086436,0.0002672586,0.0003012878,0.003097659,0.5167845,0.03759625,0.00003669316,0.07987831,0.1576012],"study_design_scores_gemma":[0.0008304982,0.0001204699,0.1498057,0.00005842291,0.00003381718,0.00004200665,0.0001133799,0.2226293,0.008128857,0.0001288086,0.6173357,0.0007730395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992923,0.001739359,0.002704964,0.0001084352,0.000150569,0.0001028604,0.00001281566,0.0002854012,0.001972586],"genre_scores_gemma":[0.978109,0.006109353,0.01418135,0.0001002747,0.0001533029,0.00002764815,0.00001536644,0.00005709786,0.0012466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5374573,"threshold_uncertainty_score":0.9990592,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049765989","doi":"10.1016/j.atmosenv.2004.05.014","title":"Techniques for measuring gas emissions from a composting stockpile of cattle manure","year":2004,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Nitrous oxide; Methane; Environmental science; Stockpile; Manure; Greenhouse gas; Carbon dioxide; Anemometer; Flux (metallurgy); Atmospheric dispersion modeling; Atmospheric sciences; Environmental engineering; Wind speed; Chemistry; Air pollution; Meteorology; Agronomy","retraction":null,"screen_n_in":null,"score":{"opus":0.01422197070179028,"gpt":0.2123866656978098,"spread":0.1981646949960195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007020143,0.0001651677,0.0002507542,0.000003783361,0.00007335108,0.000006149331,0.0002187921,0.0001315954,0.0001466375],"category_scores_gemma":[0.00008942275,0.000147851,0.0001061025,0.00005275617,0.00005218485,0.00004420872,0.0001109505,0.0001440312,0.000009396744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529432,"about_ca_system_score_gemma":0.00001108842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174186,"about_ca_topic_score_gemma":0.000001065949,"domain_scores_codex":[0.9990524,0.0000057464,0.0002811257,0.0002487608,0.0001712824,0.0002407051],"domain_scores_gemma":[0.9993884,0.0001064326,0.00009554449,0.0003296967,0.000008302409,0.00007161811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003563521,0.0001634552,0.00113309,0.0000525781,0.00006591049,0.000002731636,0.0002186225,0.03220263,0.9359769,0.0002663687,0.0002633683,0.02961871],"study_design_scores_gemma":[0.0010754,0.000141666,0.0008148931,0.0002657504,0.00006683415,0.000002557668,0.0003726529,0.006638099,0.9731575,0.003044668,0.01406066,0.0003593533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6183164,0.001021478,0.3775389,0.0007807774,0.0000826533,0.0005765491,0.00004419228,0.0006298065,0.00100934],"genre_scores_gemma":[0.8052104,0.00006504551,0.1943399,0.00002570396,0.00004770473,0.0001048269,0.0000123895,0.00002989396,0.0001642134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.186894,"threshold_uncertainty_score":0.6029188,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972051537","doi":"10.1016/j.atmosenv.2006.03.039","title":"Spatial and temporal distribution of pesticide air concentrations in Canadian agricultural regions","year":2006,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Pesticide; Trifluralin; Metolachlor; Environmental science; Lindane; Chlorpyrifos; Chlordane; Endosulfan; Atrazine; Alachlor; Dieldrin; Pendimethalin; MCPA; Environmental chemistry; Chemistry; Agronomy; Weed; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.003636321052158713,"gpt":0.176810296674899,"spread":0.1731739756227403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007704718,0.0001234378,0.0001236679,0.000001928977,0.00007506974,0.000006927075,0.00008636741,0.00006155609,0.00072417],"category_scores_gemma":[0.00001707599,0.0001091959,0.0000239505,0.0001249045,0.0002397356,0.000112174,0.00004371983,0.0000820372,0.00006231308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008437918,"about_ca_system_score_gemma":0.00002993008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.377337,"about_ca_topic_score_gemma":0.3044584,"domain_scores_codex":[0.998996,0.00003382957,0.0002354427,0.0002095338,0.000178438,0.0003468029],"domain_scores_gemma":[0.9995807,0.00001787754,0.00007727771,0.0001480837,4.296487e-7,0.0001756459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002822065,0.00006139965,0.993492,9.64353e-7,0.000003357805,0.00000929261,0.00008164225,0.001857833,0.00156688,0.0001260688,0.001075363,0.001722361],"study_design_scores_gemma":[0.0002250575,0.00004204904,0.9933463,0.000005448887,0.00001036551,0.00001188468,0.0000598968,0.001008848,0.0003290472,0.0001391934,0.004696294,0.0001255986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955611,0.00005808019,0.001078352,0.0006977072,0.00005482592,0.0002038737,0.00006006941,0.00001139721,0.002274555],"genre_scores_gemma":[0.998667,0.00001984891,0.000762835,0.00004390642,0.00002291553,0.000005999416,0.00002663044,0.000007633142,0.0004432283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07287862,"threshold_uncertainty_score":0.7929153,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029170997","doi":"10.1016/s1352-2310(02)00771-9","title":"Methane emissions from natural peatlands in the northern boreal zone in Finland, Fennoscandia","year":2002,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Suomen Kulttuurirahasto","keywords":"Peat; Mire; Boreal; Environmental science; Wetland; Bog; Taiga; Physical geography; Hydrology (agriculture); Water table; Atmospheric sciences; Ecology; Geology; Geography; Forestry; Groundwater","retraction":null,"screen_n_in":null,"score":{"opus":0.007052669333495222,"gpt":0.1901691646005851,"spread":0.1831164952670899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002357548,0.0002326535,0.0002587441,0.000005228515,0.00008153354,0.00001847388,0.0004109503,0.0001108792,0.007357229],"category_scores_gemma":[0.00001564383,0.0001537355,0.00006857073,0.0002232819,0.0001319415,0.0000931202,0.0001681577,0.0003330137,0.0006413073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733391,"about_ca_system_score_gemma":0.000003548185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004782589,"about_ca_topic_score_gemma":0.009181961,"domain_scores_codex":[0.9982502,0.0001712009,0.0003154859,0.0004476881,0.0003302431,0.0004851171],"domain_scores_gemma":[0.9992404,0.0001724791,0.00007908602,0.0004117073,7.606926e-7,0.0000955691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002123176,0.000272359,0.9848568,9.792554e-7,0.000008745481,0.0001251896,0.001522611,0.001519386,0.0002157149,0.000002436983,0.001729605,0.009724949],"study_design_scores_gemma":[0.001131819,0.00009523761,0.9572195,0.000007054142,0.00001324676,0.00001183705,0.0002324932,0.006754591,0.00001117845,0.0001007543,0.03420132,0.0002209979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890836,0.0005240735,0.00007808735,0.001198113,0.00008469767,0.0002554996,0.000009306085,0.00001193426,0.00875463],"genre_scores_gemma":[0.9959603,0.0005534747,0.0009030043,0.0005379221,0.00006015079,0.00008181971,0.00007827849,0.0000165729,0.001808495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03247172,"threshold_uncertainty_score":0.9935502,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976712074","doi":"10.1016/j.atmosenv.2013.03.047","title":"Temporal variation in airborne microbial populations and microbially-derived allergens in a tropical urban landscape","year":2013,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Air quality index; Environmental science; Particulates; Indoor bioaerosol; Aerosol; Population; Ecology; Bioaerosol; Seasonality; Geography; Biology; Meteorology; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.007758741886786102,"gpt":0.1907247519574068,"spread":0.1829660100706207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001399689,0.0002121898,0.0002337589,0.000008224485,0.0000830888,0.00003428249,0.000140172,0.0001562149,0.005088595],"category_scores_gemma":[0.00001327229,0.0002158944,0.00004845226,0.0001583628,0.0001328148,0.0002419745,0.0001748858,0.0002008381,0.0005584245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723389,"about_ca_system_score_gemma":0.00001029287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379122,"about_ca_topic_score_gemma":0.002608897,"domain_scores_codex":[0.9984112,0.0001446789,0.0004478846,0.0004549106,0.0001502627,0.0003910245],"domain_scores_gemma":[0.9995534,0.00002169639,0.00009323433,0.0002296029,0.000001984568,0.000100051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002849581,0.0003967492,0.8713993,0.000008837534,0.000009450921,0.00001205435,0.002383263,0.004957081,0.1165972,0.00009070034,0.002705276,0.00141154],"study_design_scores_gemma":[0.001054837,0.00007402185,0.9925423,0.00001205638,0.000007224276,0.000006917039,0.0001128747,0.001230242,0.0001337001,0.0001631672,0.004403896,0.0002588194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970906,0.00005527539,0.000763014,0.0009903184,0.00009026672,0.0005783932,0.000004757121,0.00002144932,0.0004059443],"genre_scores_gemma":[0.9833162,0.00005212132,0.01559132,0.0004184088,0.0000397005,0.00005759564,0.00002554005,0.00002115115,0.0004779414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211429,"threshold_uncertainty_score":0.9958209,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}