{"meta":{"query_hash":"ed2300060190","filters":{"venue":"Tellus A Dynamic Meteorology and Oceanography"},"cohort_total":57,"direct_labels_cover":0,"predictions_cover":57,"exported":57,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ed2300060190","api":"https://metacan.xera.ac/api/v1/cohort?venue=Tellus+A+Dynamic+Meteorology+and+Oceanography"},"results":[{"id":"W1737915141","doi":"10.3402/tellusa.v%v.27218","title":"Assimilation of ice and water observations from SAR imagery to improve estimates of sea ice concentration","year":2015,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Sea ice concentration; Synthetic aperture radar; Sea ice; Remote sensing; Sea ice thickness; Data assimilation; Binary number; Environmental science; Meteorology; Data set; Geology; Climatology; Computer science; Arctic ice pack; Mathematics; Artificial intelligence; Physics","score_opus":0.015286859491361505,"score_gpt":0.2193848508313123,"score_spread":0.2040979913399508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1737915141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39944845,0.00036789748,0.5969172,0.00019662408,0.000107415464,0.000050139926,0.00044546812,0.0006996834,0.001767045],"genre_scores_gemma":[0.85052955,0.00016274436,0.14753602,0.000041463667,0.000029785377,0.00003355865,0.00088659115,0.0000618246,0.00071847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998658,0.000026197227,0.000013549788,0.000044889628,0.000038714108,0.000010749218],"domain_scores_gemma":[0.9995727,0.00013365505,0.000084722495,0.000074899515,0.000116389274,0.000017593466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060914963,0.00034667522,0.0003767212,0.0004800386,0.0001482436,0.0004315918,0.00036767032,0.00030842217,0.00040187448],"category_scores_gemma":[0.0018446267,0.00034054232,0.0003935368,0.00041788802,0.00020369579,0.0007103061,0.00046343333,0.0005339539,0.00016574189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000300527,0.00023250429,0.03798915,0.0002885945,0.00036803223,0.00015682772,0.00031307613,0.5778661,0.13979624,0.004821584,0.0013954343,0.23647198],"study_design_scores_gemma":[0.000015013156,0.000044652814,0.013530461,0.000008204123,0.000026699243,0.000020521567,0.000020643816,0.97458035,0.009540781,0.0013943152,0.0008008242,0.000017601977],"about_ca_topic_score_codex":0.0041955947,"about_ca_topic_score_gemma":0.0055514304,"teacher_disagreement_score":0.0041955947,"about_ca_system_score_codex":0.00021187021,"about_ca_system_score_gemma":0.0003846137,"threshold_uncertainty_score":0.008342385},"labels":[],"label_agreement":null},{"id":"W1969390712","doi":"10.3402/tellusa.v65i0.20898","title":"On the use of exponential time integration methods in atmospheric models","year":2013,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential function; Matrix exponential; Applied mathematics; Exponential integrator; Krylov subspace; Matrix (chemical analysis); Computer science; Work (physics); Mathematical optimization; Differential equation; Mathematics; Algorithm; Ordinary differential equation; Iterative method; Mathematical analysis; Physics","score_opus":0.07648221052110467,"score_gpt":0.33526905402967294,"score_spread":0.2587868435085683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969390712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01728564,0.002617372,0.97160363,0.00042918304,0.0001414597,0.000035675763,0.000047192443,0.00020241247,0.0076375315],"genre_scores_gemma":[0.52473295,0.0050677825,0.46071017,0.00022327597,0.00022440031,0.00015526605,0.00012334251,0.00028726345,0.00847557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994173,0.00032303174,0.000030229918,0.00004030031,0.00016053802,0.00002869337],"domain_scores_gemma":[0.9981718,0.0012103273,0.00011049637,0.00018643322,0.00027311858,0.00004778458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016553474,0.0005511165,0.0004090152,0.0004952387,0.00040108798,0.00089060044,0.0008899664,0.00071647234,0.001825168],"category_scores_gemma":[0.006611558,0.0002208507,0.0004735737,0.0007004948,0.0009153133,0.0014529818,0.0013300995,0.0012309116,0.00043502988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086279695,0.00007984896,0.0014177106,0.00022855347,0.00004764281,0.00014168347,0.00023758889,0.58653444,0.0058147307,0.3050345,0.0016352708,0.09874177],"study_design_scores_gemma":[0.000006786659,0.000014232104,0.000094092014,0.000020535492,0.000003866605,0.000019783945,0.000011503195,0.97642255,0.00059835915,0.020072566,0.0027285838,0.0000071661107],"about_ca_topic_score_codex":0.0033678145,"about_ca_topic_score_gemma":0.0023059403,"teacher_disagreement_score":0.0033678145,"about_ca_system_score_codex":0.00044593113,"about_ca_system_score_gemma":0.00058916217,"threshold_uncertainty_score":0.008754373},"labels":[],"label_agreement":null},{"id":"W1974209761","doi":"10.1111/j.1600-0870.2011.00522.x","title":"An extreme precipitation event in Central Norway","year":2011,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Precipitation; Climatology; Subtropics; Environmental science; Flooding (psychology); Geostrophic wind; Geology; Atmospheric sciences; Meteorology; Geography","score_opus":0.02635154597596689,"score_gpt":0.2292999191239505,"score_spread":0.2029483731479836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974209761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828124,0.000060608076,0.00017041585,0.00004994117,0.000021279415,0.000008348379,0.00035369783,0.000015592022,0.0010388711],"genre_scores_gemma":[0.99934155,0.000038954026,0.00010619941,0.000010599911,0.0000047872045,0.0000051205593,0.0002982188,0.0000021447572,0.00019240042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999094,0.000013913876,0.000007238394,0.000020313688,0.000013855218,0.000035272995],"domain_scores_gemma":[0.999851,0.000025676723,0.000032231084,0.000007690164,0.000029058963,0.000054416443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001936333,0.00023666954,0.00022999171,0.00021963757,0.00040622713,0.0007294526,0.00031520452,0.0005239959,0.0005620077],"category_scores_gemma":[0.00053007936,0.00015280781,0.00021300653,0.0003790572,0.00037499648,0.0002871381,0.00041942933,0.00023882501,0.00005741141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015029135,0.00047436764,0.48770556,0.00017243253,0.00020176503,0.0062037474,0.0014988519,0.47284392,0.008018811,0.0026632615,0.0067623626,0.011951979],"study_design_scores_gemma":[0.0004326311,0.000342302,0.68784624,0.00006264499,0.000060050985,0.0005362742,0.0021817177,0.3003356,0.0014875375,0.001103205,0.0055278167,0.00008400929],"about_ca_topic_score_codex":0.20807675,"about_ca_topic_score_gemma":0.20955929,"teacher_disagreement_score":0.20807675,"about_ca_system_score_codex":0.0012503678,"about_ca_system_score_gemma":0.00092763285,"threshold_uncertainty_score":0.41373122},"labels":[],"label_agreement":null},{"id":"W1975799413","doi":"10.3402/tellusa.v55i3.12092","title":"The atmospheric response to North Atlantic SST anomalies in seasonal prediction experiments","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Center for Atmospheric Research","keywords":"Anomaly (physics); Climatology; Sea surface temperature; Environmental science; Forcing (mathematics); North Atlantic oscillation; Seasonality; Atlantic multidecadal oscillation; General Circulation Model; Atmospheric circulation; Atmospheric sciences; Oceanography; Climate change; Geology","score_opus":0.007412010042430533,"score_gpt":0.220551433766486,"score_spread":0.21313942372405548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975799413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991861,0.000010064921,0.0003240377,0.000029110792,0.000014490514,0.000012645712,0.0001249471,0.000022546601,0.0002760725],"genre_scores_gemma":[0.9987771,0.000017527467,0.0005262391,0.000021271617,0.000006801249,0.00003135627,0.00034649143,0.000006693539,0.00026663684],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996908,0.00013992708,0.00002127137,0.000054064178,0.000053251326,0.000040787178],"domain_scores_gemma":[0.9991968,0.00043663225,0.000095568954,0.000097582866,0.000074688425,0.0000988021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085024437,0.00025658114,0.0002016551,0.00010103615,0.0002650622,0.00030047106,0.00018482968,0.0003113342,0.0005388537],"category_scores_gemma":[0.0021897564,0.00013070884,0.00023440967,0.00012768782,0.00019142126,0.0002029049,0.00023056935,0.00037578988,0.00008877259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012645397,0.007203951,0.20303744,0.00022185147,0.0009012705,0.00056057406,0.0010910439,0.25579557,0.4598363,0.0018775064,0.0039960085,0.052833114],"study_design_scores_gemma":[0.0011749171,0.01079961,0.42917392,0.00001579946,0.0002568771,0.000105830506,0.00033373616,0.46740755,0.08536222,0.0018424889,0.003417996,0.000109139335],"about_ca_topic_score_codex":0.006025703,"about_ca_topic_score_gemma":0.006640355,"teacher_disagreement_score":0.006025703,"about_ca_system_score_codex":0.0002935323,"about_ca_system_score_gemma":0.00022365892,"threshold_uncertainty_score":0.011981249},"labels":[],"label_agreement":null},{"id":"W1986670537","doi":"10.1111/j.1600-0870.2007.00291.x","title":"Analysing present, past and future tropical cyclone activity as inferred from an ensemble of Coupled Global Climate Models","year":2008,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Mitacs","keywords":"Tropical cyclone; Climatology; Environmental science; Climate model; Meteorology; Climate change; Geography; Geology; Oceanography","score_opus":0.015006811409748308,"score_gpt":0.25391579497952455,"score_spread":0.23890898356977625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986670537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755883,0.00005016925,0.0011886652,0.000026124248,0.00000515941,0.000004059462,0.000733319,0.00003968616,0.00039408557],"genre_scores_gemma":[0.9963213,0.00006881553,0.0013874781,0.000008266502,0.000009912029,0.000008985963,0.0020663682,0.000009114623,0.000119861645],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988246,0.00003054667,0.000011160381,0.000035425703,0.000024824654,0.000015552438],"domain_scores_gemma":[0.9994722,0.00022980326,0.00008958269,0.00007541928,0.000088837245,0.00004415657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006236189,0.00036941178,0.00028500255,0.0005587105,0.00020931492,0.00044313187,0.00023922042,0.0002720978,0.0004717431],"category_scores_gemma":[0.0018160605,0.00025292163,0.0005231435,0.00066925987,0.00012364853,0.0004758205,0.00023977418,0.00030663953,0.000072090676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028005659,0.00008895755,0.5225109,0.00005531618,0.0006942979,0.00012894139,0.00013949188,0.45386398,0.0052289413,0.0005573435,0.00068511383,0.015766734],"study_design_scores_gemma":[0.000029977902,0.00009322433,0.316892,0.000008898203,0.00019258917,0.000055895103,0.000061279556,0.6799481,0.0017401141,0.00041092117,0.00054187566,0.000025106448],"about_ca_topic_score_codex":0.018729407,"about_ca_topic_score_gemma":0.02735832,"teacher_disagreement_score":0.018729407,"about_ca_system_score_codex":0.00040458294,"about_ca_system_score_gemma":0.0003269313,"threshold_uncertainty_score":0.037240803},"labels":[],"label_agreement":null},{"id":"W1996683276","doi":"10.3402/tellusa.v55i5.12109","title":"Boundary and initial flow induced variability over Pacific North America in CCC-AGCM simulations","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Middle latitudes; Climatology; Empirical orthogonal functions; Environmental science; Sea surface temperature; Atmospheric circulation; Atmospheric sciences; Flow (mathematics); El Niño Southern Oscillation; GCM transcription factors; General Circulation Model; Geology; Climate change; Oceanography; Mechanics; Physics","score_opus":0.010393446933046094,"score_gpt":0.23940130535519988,"score_spread":0.2290078584221538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996683276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99144894,0.000105904255,0.0014627322,0.00019983704,0.000038505696,0.000038477392,0.0032275957,0.00026791566,0.0032099895],"genre_scores_gemma":[0.9934238,0.000069476206,0.0022052494,0.00007675096,0.000011796291,0.000078193494,0.0033888267,0.000058430385,0.00068746787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980885,0.000071263166,0.000008779076,0.000041373645,0.000028555207,0.00004111495],"domain_scores_gemma":[0.99925524,0.0003557896,0.00006530708,0.000050937855,0.00014018809,0.00013252125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088739005,0.0007701812,0.0005047108,0.00044310882,0.0006311117,0.00093877455,0.0014411797,0.0013564748,0.0023418108],"category_scores_gemma":[0.002043382,0.00042995255,0.00073463446,0.0008007937,0.00047669213,0.00053166243,0.00048070695,0.001039939,0.00019705965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023387396,0.00015614826,0.021818254,0.00005762425,0.00008854592,0.000118933254,0.000059250917,0.97116256,0.000836155,0.0009053886,0.0025357911,0.0020274639],"study_design_scores_gemma":[0.00018521212,0.00005870486,0.009176485,0.0000116050705,0.000031784177,0.000012848987,0.000041725874,0.9894405,0.0003066981,0.00021472466,0.0005028848,0.00001682288],"about_ca_topic_score_codex":0.16943794,"about_ca_topic_score_gemma":0.10769067,"teacher_disagreement_score":0.16943794,"about_ca_system_score_codex":0.0018755721,"about_ca_system_score_gemma":0.0018168489,"threshold_uncertainty_score":0.3369034},"labels":[],"label_agreement":null},{"id":"W1997887821","doi":"10.3402/tellusa.v54i4.12153","title":"GCM experiments on changes in atmospheric predictability associated with the PNA pattern and tropical SST anomalies","year":2002,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Climatology; Sea surface temperature; Environmental science; GCM transcription factors; Tropical Atlantic; Standard deviation; General Circulation Model; Atmospheric sciences; Mathematics; Geology; Climate change; Statistics; Oceanography","score_opus":0.011629071643124468,"score_gpt":0.2063816482903779,"score_spread":0.19475257664725343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997887821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910563,0.000020583324,0.00021108624,0.00002251831,0.000005986001,0.000013566138,0.00017265166,0.000028945122,0.00041898078],"genre_scores_gemma":[0.99877495,0.00003405333,0.0007436178,0.000009340271,0.0000027705667,0.000021006013,0.0002882481,0.0000075798757,0.00011837961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971634,0.00007796355,0.000015902173,0.000041409563,0.00007977466,0.00006864863],"domain_scores_gemma":[0.9985428,0.0009334668,0.000140888,0.00014334898,0.00012790582,0.00011147028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094489724,0.0005320637,0.0002637249,0.0002767723,0.00047055856,0.00031127187,0.00047963977,0.00041724357,0.0008353131],"category_scores_gemma":[0.0022592559,0.00023635702,0.00040992035,0.0005472244,0.0005608321,0.00033982072,0.00039059322,0.0007251332,0.00005199286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024611526,0.0010872161,0.09442015,0.00014348562,0.00032857564,0.0004686665,0.0003505567,0.8343257,0.045945,0.0029858164,0.0014848113,0.01599891],"study_design_scores_gemma":[0.0007674821,0.0024474133,0.106323995,0.00001592434,0.0002120584,0.00008129809,0.00020198643,0.81348825,0.073954225,0.0010887724,0.0013387903,0.00007974495],"about_ca_topic_score_codex":0.037320144,"about_ca_topic_score_gemma":0.031637732,"teacher_disagreement_score":0.037320144,"about_ca_system_score_codex":0.0012224248,"about_ca_system_score_gemma":0.0005699106,"threshold_uncertainty_score":0.074205816},"labels":[],"label_agreement":null},{"id":"W2001192906","doi":"10.3402/tellusa.v64i0.15817","title":"Dynamical system analysis of a low-order tropical cyclone model","year":2012,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Deutsche Forschungsgemeinschaft","keywords":"Tropical cyclone; Eye; Convection; Atmospheric convection; Tropical cyclogenesis; Physics; Advection; Environmental science; Meteorology; Statistical physics; Climatology; Mechanics; Atmospheric sciences; Thermodynamics; Geology; Cyclone (programming language)","score_opus":0.009366520961218447,"score_gpt":0.2309077453313458,"score_spread":0.22154122437012735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001192906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6577,0.0005478332,0.3013886,0.0013134668,0.000108117085,0.00016445846,0.0027866086,0.00065092917,0.035339944],"genre_scores_gemma":[0.9873245,0.0001538683,0.007249886,0.000051317835,0.000027436074,0.00016936623,0.000485669,0.00003616278,0.0045016725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986863,0.00006154391,0.000006156824,0.000026129683,0.000016770111,0.00002072737],"domain_scores_gemma":[0.99961275,0.00020344679,0.00007223984,0.000019889994,0.000053530977,0.00003822364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003023037,0.00044506098,0.0007808993,0.00030102045,0.000546151,0.00080428744,0.00071760226,0.00067289255,0.005193284],"category_scores_gemma":[0.0011259275,0.00021208444,0.00043651243,0.00023291877,0.0005030041,0.00061384356,0.00064536196,0.0006560939,0.00030486664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004653632,0.000024402909,0.0017527427,0.000038105114,0.00003374439,0.000118887685,0.00006520127,0.9713388,0.0012023118,0.023429275,0.0006122701,0.0013377093],"study_design_scores_gemma":[0.0000119789465,0.000013208031,0.00029234367,0.0000023756131,0.000005600366,0.0000063181833,0.000009783573,0.99720156,0.00003426174,0.0021584716,0.0002606666,0.0000034110378],"about_ca_topic_score_codex":0.012951787,"about_ca_topic_score_gemma":0.00636509,"teacher_disagreement_score":0.012951787,"about_ca_system_score_codex":0.0006508953,"about_ca_system_score_gemma":0.00080662605,"threshold_uncertainty_score":0.025752783},"labels":[],"label_agreement":null},{"id":"W2003323627","doi":"10.3402/tellusa.v52i1.12252","title":"A numerical model comparison of baroclinic instability in the presence of topography","year":2000,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Baroclinity; Instability; Geology; Meteorology; Climatology; Atmospheric sciences; Mechanics; Geophysics; Physics","score_opus":0.013225612447224281,"score_gpt":0.25203190878036114,"score_spread":0.23880629633313685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003323627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908518,0.00007897618,0.0049366714,0.00008377047,0.000020713951,0.000031280088,0.00038854132,0.000109994035,0.0034982178],"genre_scores_gemma":[0.995366,0.000057135287,0.003775033,0.000013049473,0.0000037562131,0.000043948916,0.00025791518,0.000011332218,0.00047189937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998776,0.000028574605,0.000011248781,0.000024060806,0.000031288004,0.000027287357],"domain_scores_gemma":[0.99947506,0.00023094923,0.00006589564,0.00009758529,0.00009591591,0.000034609908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026737317,0.000433807,0.00034346664,0.00024055547,0.00029588855,0.0005552706,0.00075679336,0.00059769786,0.0012190394],"category_scores_gemma":[0.0010572643,0.00018910391,0.0003011264,0.0004326841,0.00040915128,0.00043820782,0.00030652876,0.00044833592,0.00011306251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002281558,0.00020267918,0.0047494625,0.00006395563,0.000033101995,0.00008110357,0.00007899221,0.97605383,0.012798455,0.0012242444,0.00031125837,0.0041747508],"study_design_scores_gemma":[0.000024999375,0.00006243193,0.0013385582,0.0000025549239,0.0000074387744,0.000005629859,0.000010455586,0.9965148,0.0017876697,0.00012830779,0.00011151518,0.000005688947],"about_ca_topic_score_codex":0.016897801,"about_ca_topic_score_gemma":0.008488778,"teacher_disagreement_score":0.016897801,"about_ca_system_score_codex":0.00067695417,"about_ca_system_score_gemma":0.00059935736,"threshold_uncertainty_score":0.0335989},"labels":[],"label_agreement":null},{"id":"W2003368364","doi":"10.3402/tellusa.v65i0.19782","title":"Structure and predictive skill of strong northeasterly wind events using a limited area numerical weather prediction model at Iqaluit, Canada","year":2013,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Manitoba","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Wind shear; Peninsula; Meteorology; Prevailing winds; Environmental science; Boundary layer; Jump; Geology; Hydraulic jump; Wind direction; Climatology; Flow (mathematics); Wind speed; Geography; Engineering","score_opus":0.0074081371983807645,"score_gpt":0.19499449309046113,"score_spread":0.18758635589208036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003368364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419576,0.000099692996,0.00085161376,0.00022100526,0.00001586492,0.000024039648,0.0016492935,0.0001606825,0.002781961],"genre_scores_gemma":[0.9965107,0.00006277246,0.00094883156,0.000023570356,0.0000034431894,0.000010559969,0.0018070444,0.000015988064,0.000617168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998405,0.000019534362,0.000008905014,0.000048619007,0.000034244888,0.0000481569],"domain_scores_gemma":[0.9994149,0.00013280053,0.00005528738,0.000027774084,0.0002641281,0.00010505347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036888808,0.0007615605,0.00038347198,0.0005139467,0.0009980776,0.0012805382,0.0014775728,0.00057197956,0.0010856754],"category_scores_gemma":[0.0014652099,0.00033243594,0.0004869161,0.0005263541,0.00044938613,0.0003399069,0.00053687784,0.00066445203,0.00016349494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011845554,0.00011289544,0.10403265,0.000028060922,0.00007473526,0.00009252464,0.000070074435,0.8868858,0.00076034304,0.00046610186,0.0018231889,0.0055350936],"study_design_scores_gemma":[0.000019596124,0.000008337356,0.013847455,0.0000047084236,0.000011412955,0.0000036575252,0.000039234,0.985617,0.00016263468,0.000044239667,0.0002296743,0.000011933216],"about_ca_topic_score_codex":0.98009217,"about_ca_topic_score_gemma":0.9659475,"teacher_disagreement_score":0.019907832,"about_ca_system_score_codex":0.010040636,"about_ca_system_score_gemma":0.011214017,"threshold_uncertainty_score":0.07285029},"labels":[],"label_agreement":null},{"id":"W2003602579","doi":"10.3402/tellusa.v64i0.15639","title":"Boreal lakes moderate seasonal and diurnal temperature variation and perturb atmospheric circulation: analyses in the Community Earth System Model 1 (CESM1)","year":2012,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Northern Hemisphere; Westerlies; Climatology; Atmospheric sciences; Precipitation; Climate model; Forcing (mathematics); Sea surface temperature; Climate change; Latitude; Permafrost; Geology; Oceanography; Geography; Meteorology","score_opus":0.03271203745414365,"score_gpt":0.25352455518004896,"score_spread":0.22081251772590532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003602579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99838614,0.00004710261,0.0005035001,0.000064527376,0.0000054449465,0.000010493428,0.00049077906,0.00006677261,0.0004252283],"genre_scores_gemma":[0.9979461,0.000035244117,0.0011964877,0.0000193967,0.000007706503,0.000018482373,0.0006693933,0.000021167927,0.000086031665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997936,0.0000920131,0.000012552392,0.000039414,0.000025725889,0.00003677487],"domain_scores_gemma":[0.9994092,0.00026954748,0.00010015692,0.000056860816,0.000087386245,0.00007687166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091608934,0.00061413087,0.0003695273,0.00026986017,0.00052230124,0.0005130158,0.00054146274,0.0004660502,0.000614109],"category_scores_gemma":[0.0016668774,0.00029875463,0.0008177322,0.00031575855,0.00031535243,0.00044671822,0.000383037,0.0005036103,0.00006193758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062571326,0.0004645871,0.4110092,0.00013290899,0.0005398391,0.00027407488,0.00017876965,0.563451,0.010425073,0.0020560853,0.0023378946,0.008504768],"study_design_scores_gemma":[0.00015077235,0.00021902713,0.2673641,0.0000065823256,0.00010714428,0.000044048484,0.000097426004,0.72940475,0.0013431518,0.0004157578,0.0008044556,0.000042819538],"about_ca_topic_score_codex":0.10311273,"about_ca_topic_score_gemma":0.07027417,"teacher_disagreement_score":0.10311273,"about_ca_system_score_codex":0.00069100526,"about_ca_system_score_gemma":0.0007460592,"threshold_uncertainty_score":0.20502508},"labels":[],"label_agreement":null},{"id":"W2005478637","doi":"10.3402/tellusa.v53i2.12184","title":"Polynyas in a high-resolution dynamic–thermodynamic sea ice model and their parameterization using flux models","year":2001,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sea ice; Geology; Fast ice; Wind stress; Arctic ice pack; Heat flux; Ice wedge; Drift ice; Climatology; Flux (metallurgy); Oceanography; Mechanics; Heat transfer","score_opus":0.01326800267161741,"score_gpt":0.21147394437118858,"score_spread":0.19820594169957118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005478637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9223938,0.00017786997,0.07179482,0.00024828763,0.00003654567,0.00005291489,0.00038941216,0.00014598931,0.0047603487],"genre_scores_gemma":[0.99257904,0.000097895514,0.0057298956,0.000021383048,0.000013771428,0.00005683822,0.00019856509,0.000041991974,0.001260805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994147,0.000019381936,0.0000031741993,0.000015636775,0.000010136516,0.0000101983205],"domain_scores_gemma":[0.9998288,0.00007815822,0.000025447252,0.000019316241,0.000026294827,0.000021892844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002228834,0.00052262744,0.0003792719,0.00024757467,0.0004490472,0.0007493736,0.00051097147,0.00078454334,0.0014008732],"category_scores_gemma":[0.0008311432,0.00039357162,0.0006313198,0.00018856538,0.00053683994,0.0008909361,0.00046495107,0.00056914927,0.00010793268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021043697,0.000015909814,0.0012042784,0.0000066572597,0.000009282096,0.000024523844,0.000011593848,0.9960901,0.0010349205,0.0009969086,0.000035822966,0.0005488999],"study_design_scores_gemma":[0.0000073896063,0.000005599425,0.00037036513,0.0000010246315,0.0000022715324,0.0000033834085,0.0000044624035,0.9991472,0.00013536545,0.00023310311,0.000087919565,0.0000019974145],"about_ca_topic_score_codex":0.022023179,"about_ca_topic_score_gemma":0.009712841,"teacher_disagreement_score":0.022023179,"about_ca_system_score_codex":0.0007852681,"about_ca_system_score_gemma":0.0006651116,"threshold_uncertainty_score":0.043789983},"labels":[],"label_agreement":null},{"id":"W2005835335","doi":"10.3402/tellusa.v54i3.12144","title":"Sea ice concentration anomalies as long range predictors of anomalous conditions in the North Atlantic basin","year":2002,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Climatology; Geology; Oceanography; Atlantic hurricane; Range (aeronautics); Structural basin; Sea ice; Atlantic Equatorial mode; Atlantic multidecadal oscillation; Environmental science; North Atlantic oscillation; Geomorphology; Tropical cyclone","score_opus":0.007367334215180747,"score_gpt":0.19554924429124573,"score_spread":0.188181910076065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005835335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945945,0.000037443137,0.00016278648,0.00004055814,0.0000042308,0.0000012891392,0.0001109375,0.000012139163,0.00017123431],"genre_scores_gemma":[0.9993388,0.00003482183,0.00011542403,0.0000040491864,0.000006583977,0.0000012333701,0.00036416654,0.0000027142232,0.00013222404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998876,0.00003799613,0.0000094410525,0.000025527113,0.000017198034,0.000022356808],"domain_scores_gemma":[0.99783796,0.0013098386,0.00036885176,0.00009950183,0.0001860851,0.00019787133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078981026,0.00031656635,0.00015333721,0.00043551927,0.00016702696,0.0005740534,0.00020075229,0.00032590746,0.00078576664],"category_scores_gemma":[0.0024501418,0.00019063841,0.0002546988,0.00028283003,0.00021391244,0.00034155542,0.0003144041,0.00039305625,0.00013857824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018538574,0.000091576934,0.92579234,0.000011270984,0.0001367083,0.00015209793,0.00007414061,0.0631212,0.0012380425,0.0002033553,0.00063826644,0.008355647],"study_design_scores_gemma":[0.000018871619,0.00007001774,0.62037444,0.0000126473515,0.00004116315,0.00003978829,0.00012883848,0.37813157,0.0005983806,0.00024928874,0.00032014435,0.000014802365],"about_ca_topic_score_codex":0.028585786,"about_ca_topic_score_gemma":0.033002257,"teacher_disagreement_score":0.028585786,"about_ca_system_score_codex":0.000344256,"about_ca_system_score_gemma":0.00045396722,"threshold_uncertainty_score":0.05683881},"labels":[],"label_agreement":null},{"id":"W2016403685","doi":"10.3402/tellusa.v64i0.16226","title":"Interactive lakes in the Canadian Regional Climate Model, version 5: the role of lakes in the regional climate of North America","year":2012,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"GDG Environnement; Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Climate model; Climatology; Diurnal cycle; Precipitation; Climate change; Snow; Temperate climate; Spring (device); Physical geography; Geology; Oceanography; Geography; Meteorology; Ecology","score_opus":0.010577740406846284,"score_gpt":0.22372001562622143,"score_spread":0.21314227521937515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016403685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7435111,0.0019930317,0.038393974,0.002606738,0.00034017419,0.0005562727,0.15321031,0.009761786,0.04962665],"genre_scores_gemma":[0.9080551,0.0010713245,0.03798603,0.00023887196,0.000044437595,0.00037262254,0.0420966,0.000892673,0.009242294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998204,0.00004151483,0.000008150793,0.000038995076,0.000044443488,0.000046591438],"domain_scores_gemma":[0.9997327,0.000042110925,0.000019625353,0.000019466723,0.00012011283,0.00006594695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005407273,0.0008379386,0.000606898,0.00052761467,0.0013137294,0.0011231124,0.0024698537,0.00078775827,0.005004549],"category_scores_gemma":[0.0011275825,0.00058959756,0.00090303755,0.0014450729,0.00041193742,0.00083422055,0.0007785848,0.00079335214,0.0005101862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038243755,0.00009965515,0.031256903,0.00019213761,0.00035723535,0.0001299684,0.00028369084,0.9035574,0.0016621805,0.0070015,0.0404848,0.014592065],"study_design_scores_gemma":[0.0003072233,0.000024951116,0.022061795,0.000035819237,0.00014198691,0.00002291747,0.00008114037,0.9514505,0.00059602567,0.0014650713,0.02371735,0.000095204305],"about_ca_topic_score_codex":0.95554876,"about_ca_topic_score_gemma":0.95982176,"teacher_disagreement_score":0.044451237,"about_ca_system_score_codex":0.008508511,"about_ca_system_score_gemma":0.011837827,"threshold_uncertainty_score":0.08942598},"labels":[],"label_agreement":null},{"id":"W2017401787","doi":"10.1111/j.1600-0870.2011.00512.x","title":"Verification and intercomparison of mesoscale ensemble prediction systems in the Beijing 2008 Olympics Research and Development Project","year":2011,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Beijing; Mesoscale meteorology; Forecast verification; Ensemble average; Meteorology; Computer science; Environmental science; Ensemble forecasting; Range (aeronautics); Quantitative precipitation forecast; Perturbation (astronomy); Forecast skill; Climatology; Geography","score_opus":0.09820515569667732,"score_gpt":0.28511993990668144,"score_spread":0.18691478421000413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017401787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99417335,0.000022000026,0.0049541597,0.000047599704,0.00001428867,0.000028712795,0.000109111636,0.000115337425,0.00053537975],"genre_scores_gemma":[0.9965496,0.0000084281955,0.0031558946,0.0000036696383,0.0000023416576,0.000016634487,0.0001739945,0.000007695528,0.00008156265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986651,0.0006394134,0.00011583832,0.0002238095,0.00023125997,0.00012448787],"domain_scores_gemma":[0.9961964,0.0016411769,0.0002747534,0.00063457224,0.0010563005,0.0001967368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055264835,0.0004628475,0.0005259918,0.00033827857,0.0005059661,0.00066076446,0.0006394595,0.00055384345,0.00032145678],"category_scores_gemma":[0.006311146,0.00029697522,0.00033322474,0.0003889489,0.0002828117,0.000854793,0.0007378096,0.00055063784,0.0000701491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091623305,0.00063706265,0.10735034,0.0000637138,0.00025656834,0.00030940067,0.0005426791,0.80322117,0.017714564,0.001042213,0.0009719702,0.06697416],"study_design_scores_gemma":[0.000057845573,0.00015747648,0.022880955,0.0000038732096,0.000024019017,0.000008958114,0.00008905851,0.9679703,0.008413448,0.00018503028,0.00019147484,0.000017499005],"about_ca_topic_score_codex":0.014358947,"about_ca_topic_score_gemma":0.009589518,"teacher_disagreement_score":0.014358947,"about_ca_system_score_codex":0.00086244463,"about_ca_system_score_gemma":0.00092787325,"threshold_uncertainty_score":0.029227197},"labels":[],"label_agreement":null},{"id":"W2019127263","doi":"10.3402/tellusa.v55i1.12079","title":"The effects of interactions between surface forcings in the development of a model-simulated polar low in Hudson Bay","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Montréal","funders":"","keywords":"Climatology; Cyclogenesis; Advection; Extratropical cyclone; Baroclinity; Environmental science; Diabatic; Atmospheric sciences; Potential vorticity; Convection; Vorticity; Cyclone (programming language); Geology; Meteorology; Physics; Vortex","score_opus":0.01040827881913902,"score_gpt":0.2459791293510473,"score_spread":0.23557085053190827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019127263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99898046,0.000027418955,0.0001063486,0.000040250783,0.0000070674773,0.0000060235475,0.00018414002,0.00002329819,0.0006250592],"genre_scores_gemma":[0.9992561,0.00002753116,0.00017020658,0.000013561635,0.0000019096892,0.0000060619345,0.00025240186,0.0000077656305,0.00026449314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998084,0.000049200808,0.000010511042,0.000033518325,0.000028778168,0.00006975939],"domain_scores_gemma":[0.999537,0.00016248766,0.000045807577,0.000019668274,0.00008752453,0.00014749194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003773297,0.00067984156,0.0003523328,0.00034586267,0.00057791517,0.0009062466,0.0007519148,0.0006975882,0.0013041681],"category_scores_gemma":[0.0011887713,0.00044558826,0.00045172902,0.00035509196,0.0006825576,0.00027073434,0.00052422396,0.0006240056,0.00011123863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005834044,0.00023975999,0.17403433,0.000053114833,0.00010791948,0.00033218198,0.00010664681,0.81207025,0.007420423,0.0005790981,0.0009051429,0.0035676844],"study_design_scores_gemma":[0.00026956166,0.00030262646,0.11188672,0.000012984224,0.000083684165,0.000034717577,0.00026805786,0.88380104,0.0025999735,0.000108068685,0.0005983624,0.000034194265],"about_ca_topic_score_codex":0.52834487,"about_ca_topic_score_gemma":0.45594057,"teacher_disagreement_score":0.47165513,"about_ca_system_score_codex":0.004427577,"about_ca_system_score_gemma":0.0019960904,"threshold_uncertainty_score":0.9488656},"labels":[],"label_agreement":null},{"id":"W2023458377","doi":"10.3402/tellusa.v61i1.15530","title":"Impact of tropospheric and stratospheric data assimilation on mesospheric prediction","year":2009,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Data assimilation; Environmental science; Troposphere; Climatology; Atmospheric sciences; Assimilation (phonology); Meteorology; Stratosphere; Geology; Geography","score_opus":0.019515462662352667,"score_gpt":0.25903532230599324,"score_spread":0.2395198596436406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023458377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917744,0.00022024634,0.0055617522,0.00028798502,0.000040357285,0.000025432055,0.00028686118,0.00015027692,0.0016526772],"genre_scores_gemma":[0.9971186,0.00004292125,0.0025325434,0.000021430036,0.0000055450355,0.000008250867,0.00015417096,0.000008043111,0.00010846909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938047,0.0002685378,0.000049202597,0.000109308974,0.00011163149,0.000080767284],"domain_scores_gemma":[0.9967001,0.002260818,0.00027200606,0.00031519806,0.0002868111,0.0001650864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025020442,0.00062672136,0.00052303786,0.00021922895,0.0005698501,0.00085860357,0.00039709118,0.00073450746,0.0005582801],"category_scores_gemma":[0.00818335,0.00027594157,0.00044179292,0.0004437319,0.0006822067,0.0010653696,0.0008353995,0.0006926321,0.0000793497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008413928,0.0001480765,0.026374104,0.000035803296,0.00010909255,0.00007674653,0.00006091013,0.9541248,0.004308518,0.00095721206,0.00028296077,0.012680407],"study_design_scores_gemma":[0.00006989538,0.0001866515,0.0075994125,0.0000081998305,0.000026996639,0.0000104204655,0.000031143845,0.9885195,0.0028960765,0.00044247913,0.00019350466,0.000015730158],"about_ca_topic_score_codex":0.04393316,"about_ca_topic_score_gemma":0.022225853,"teacher_disagreement_score":0.04393316,"about_ca_system_score_codex":0.00080456724,"about_ca_system_score_gemma":0.0013222402,"threshold_uncertainty_score":0.08735484},"labels":[],"label_agreement":null},{"id":"W2040643865","doi":"10.3402/tellusa.v66.21564","title":"Evolution of snow and ice temperature, thickness and energy balance in Lake Orajärvi, northern Finland","year":2014,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snow; Environmental science; Atmospheric sciences; Precipitation; Cryosphere; Climatology; Automatic weather station; Energy balance; Sea ice thickness; Sea ice; Geology; Meteorology; Geography; Geomorphology","score_opus":0.0029727624774467678,"score_gpt":0.17392297412748606,"score_spread":0.1709502116500393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040643865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99961144,0.00004614498,0.000020230393,0.000008329374,7.59456e-7,0.0000015371248,0.00013507003,0.0000036349427,0.00017286398],"genre_scores_gemma":[0.99924797,0.000034879915,0.00009938391,0.000006015136,0.000001797238,0.000008469089,0.00037032974,0.0000020756534,0.00022907567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998915,0.000012823616,0.000009353112,0.00003063692,0.000020501875,0.000035234913],"domain_scores_gemma":[0.9998716,0.000024951129,0.00003841489,0.0000066546713,0.00002769714,0.000030773677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798247,0.00023793409,0.00031540953,0.0005955566,0.00066829746,0.00059088186,0.00026459506,0.00043115366,0.00058616645],"category_scores_gemma":[0.0004196711,0.0001882641,0.00036851058,0.00077166373,0.00032668546,0.00043187477,0.00050119025,0.00012159487,0.00012590915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006658671,0.00007724027,0.95483965,0.0001896243,0.00025427903,0.0011068011,0.0035883207,0.0035678386,0.02375319,0.00013991063,0.00036075938,0.011456555],"study_design_scores_gemma":[0.00000799364,0.000027973201,0.99689096,0.000005372124,0.000029152372,0.000052512012,0.00058011233,0.0016938288,0.00039707895,0.000022886039,0.00028396066,0.000008150749],"about_ca_topic_score_codex":0.06956418,"about_ca_topic_score_gemma":0.091453545,"teacher_disagreement_score":0.06956418,"about_ca_system_score_codex":0.0010645306,"about_ca_system_score_gemma":0.00069893943,"threshold_uncertainty_score":0.13831854},"labels":[],"label_agreement":null},{"id":"W2047076758","doi":"10.3402/tellusa.v65i0.18541","title":"Potential of an ensemble Kalman smoother for stratospheric chemical-dynamical data assimilation","year":2013,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Canadian Foundation for Climate and Atmospheric Sciences; Agenția Națională pentru Cercetare și Dezvoltare","keywords":"Data assimilation; Ensemble Kalman filter; Environmental science; Stratosphere; Microwave Limb Sounder; Atmospheric sciences; Troposphere; Extratropical cyclone; Kalman filter; Meteorology; Climatology; Mathematics; Extended Kalman filter; Statistics; Physics; Geology","score_opus":0.018233303104520048,"score_gpt":0.24013686193532877,"score_spread":0.22190355883080873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047076758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08360379,0.0003802887,0.9130821,0.000162715,0.000111869835,0.000027550936,0.00024303426,0.0011276493,0.0012609089],"genre_scores_gemma":[0.8251578,0.00039219964,0.1713583,0.000052975895,0.000084342326,0.00005878516,0.0009059952,0.00011117654,0.0018784137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996687,0.00011249602,0.000023587083,0.00006901427,0.00009296402,0.000033188273],"domain_scores_gemma":[0.9991467,0.00036855935,0.00007404053,0.00017518952,0.00021112068,0.000024248991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011920013,0.00047207464,0.0005022907,0.00025833724,0.0002239254,0.0006014443,0.00048423573,0.000419869,0.0006150039],"category_scores_gemma":[0.0025778092,0.00025159903,0.00055659475,0.00039509035,0.00018841351,0.00088990614,0.0005900906,0.00082486524,0.00018573439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021795636,0.000070529386,0.004211555,0.000077639175,0.0002570712,0.00003477302,0.000063879714,0.885383,0.007863951,0.0058768913,0.00065795094,0.095284745],"study_design_scores_gemma":[0.000009697886,0.000021474478,0.0010031164,0.0000032820744,0.000016211145,0.000004309559,0.0000042050774,0.99648845,0.00091068685,0.0009568837,0.00057479314,0.000006941191],"about_ca_topic_score_codex":0.01829391,"about_ca_topic_score_gemma":0.01301012,"teacher_disagreement_score":0.01829391,"about_ca_system_score_codex":0.00034368198,"about_ca_system_score_gemma":0.0010039174,"threshold_uncertainty_score":0.036374867},"labels":[],"label_agreement":null},{"id":"W2066061610","doi":"10.3402/tellusa.v66.23988","title":"Arctic Ocean freshwater composition, pathways and transformations from a passive tracer simulation","year":2014,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Halocline; Oceanography; Sea ice; Arctic; Canada Basin; Arctic sea ice decline; Geology; Surface runoff; Water mass; Salinity; Environmental science; Arctic ice pack; Climatology; Drift ice","score_opus":0.006243537708288159,"score_gpt":0.19138417019858361,"score_spread":0.18514063249029544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066061610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99308854,0.000028722086,0.0031667266,0.000047583962,0.000013385294,0.00003793131,0.0015816293,0.00011182354,0.001923681],"genre_scores_gemma":[0.99479526,0.000049354254,0.002848811,0.000018179424,0.000006541579,0.00006165805,0.001448166,0.00003172235,0.000740383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999188,0.000022333084,0.000005641031,0.000021378346,0.000012235139,0.000019564977],"domain_scores_gemma":[0.9997739,0.00008344457,0.000029130166,0.000025085825,0.00006090106,0.000027569711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039602004,0.000664119,0.00045085722,0.00042453338,0.0004857435,0.0007463351,0.0007162283,0.00077968027,0.0010050912],"category_scores_gemma":[0.00093786046,0.00047827972,0.00096869835,0.0006020465,0.0003640684,0.00040237166,0.00035793058,0.00061357656,0.00014778378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010012772,0.000037013564,0.006634418,0.000017738195,0.00003590911,0.000049254024,0.000025185347,0.99045056,0.0014422194,0.0003624083,0.000099108154,0.00074608554],"study_design_scores_gemma":[0.00007965107,0.00006809903,0.004711777,0.0000062856043,0.00003335562,0.0000092093915,0.000021001768,0.99357456,0.0009052,0.00017412296,0.00040185114,0.000014777942],"about_ca_topic_score_codex":0.12719427,"about_ca_topic_score_gemma":0.051502667,"teacher_disagreement_score":0.12719427,"about_ca_system_score_codex":0.0015146702,"about_ca_system_score_gemma":0.0015750749,"threshold_uncertainty_score":0.25290787},"labels":[],"label_agreement":null},{"id":"W2068161822","doi":"10.3402/tellusa.v64i0.17196","title":"A comparison of two identification and tracking methods for polar lows","year":2012,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Polar; Filter (signal processing); Mesoscale meteorology; Downscaling; Computer science; Tracking (education); Meteorology; Climatology; Remote sensing; Geology; Geography; Precipitation; Computer vision; Physics","score_opus":0.03425663476993871,"score_gpt":0.3704708271975539,"score_spread":0.3362141924276152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068161822","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2995902,0.0015924854,0.6843688,0.00028658682,0.00042452465,0.00044974606,0.0010673623,0.0031102996,0.009110025],"genre_scores_gemma":[0.5121721,0.00075606565,0.48053563,0.00012280008,0.00013112315,0.00023859132,0.002532347,0.0003125166,0.0031987499],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984524,0.0003936119,0.00015018332,0.0003776462,0.00049338076,0.00013274125],"domain_scores_gemma":[0.993948,0.0030978806,0.0004278687,0.0004878563,0.0018887762,0.00014964986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030051472,0.0007942171,0.00067469577,0.0027686225,0.0005087194,0.001310562,0.0008324645,0.0008497539,0.0017360382],"category_scores_gemma":[0.009162092,0.0002941035,0.00056941353,0.0015739939,0.00024335555,0.0014932696,0.0006668939,0.0004501656,0.00076295703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022587203,0.00039963878,0.07544407,0.0004494796,0.0005696395,0.00010092715,0.00029666373,0.067408316,0.015359547,0.0029903273,0.0034273402,0.83129525],"study_design_scores_gemma":[0.0006608697,0.00081731053,0.131279,0.00012747498,0.00052595476,0.0006062735,0.0005322334,0.8108827,0.042378977,0.0022607348,0.009721056,0.00020748713],"about_ca_topic_score_codex":0.008257524,"about_ca_topic_score_gemma":0.0075558536,"teacher_disagreement_score":0.008257524,"about_ca_system_score_codex":0.00052677124,"about_ca_system_score_gemma":0.00082434696,"threshold_uncertainty_score":0.016418934},"labels":[],"label_agreement":null},{"id":"W2070372194","doi":"10.3402/tellusa.v53i5.12230","title":"Nonlinear principal component analysis by neural networks","year":2001,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Principal component analysis; Maxima and minima; Nonlinear system; Artificial neural network; Regularization (linguistics); Mathematics; Bottleneck; Applied mathematics; Computer science; Mathematical analysis; Statistics; Artificial intelligence; Physics","score_opus":0.007072254337937034,"score_gpt":0.23106170946467555,"score_spread":0.2239894551267385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070372194","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015011277,0.0007177975,0.996084,0.00014527916,0.000059481546,0.000041155283,0.00008264111,0.0004575682,0.0009108447],"genre_scores_gemma":[0.10856989,0.0031623102,0.8797782,0.00010510742,0.00026354214,0.0004742624,0.0005747875,0.00030946088,0.006762384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987882,0.00056179555,0.00006487917,0.00024791397,0.0002775504,0.000059714854],"domain_scores_gemma":[0.99914,0.00041051587,0.00011414791,0.00012594227,0.00018245864,0.000026891175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015199974,0.0014426201,0.0010314382,0.001416425,0.00044994312,0.0012537494,0.0008560613,0.0010113019,0.0033545948],"category_scores_gemma":[0.005109694,0.0006299459,0.0010763941,0.0024514557,0.0010331642,0.0015798874,0.001461251,0.0018008987,0.0023612573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120670506,0.00004077692,0.0006499584,0.00041740868,0.0002380992,0.00010148779,0.00011086789,0.5475739,0.0058873105,0.06301364,0.006931514,0.37491432],"study_design_scores_gemma":[0.000007908912,0.000012696174,0.00022524368,0.000025378804,0.0000126168015,0.000027768998,0.000009875775,0.9591281,0.0011724317,0.034814432,0.004543628,0.000019905354],"about_ca_topic_score_codex":0.0038257446,"about_ca_topic_score_gemma":0.0034165275,"teacher_disagreement_score":0.0038257446,"about_ca_system_score_codex":0.00083558453,"about_ca_system_score_gemma":0.0010901401,"threshold_uncertainty_score":0.011222303},"labels":[],"label_agreement":null},{"id":"W2078058411","doi":"10.1111/j.1600-0870.2009.00399.x","title":"Fine structure of a Greenland reverse tip jet: a numerical simulation","year":2009,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Canadian Foundation for Climate and Atmospheric Sciences; National Center for Atmospheric Research","keywords":"Geology; Mesoscale meteorology; Jet (fluid); Anticyclone; Wind speed; Orographic lift; Jet stream; Atmospheric sciences; Thermal wind; Climatology; Wind shear; Meteorology; Oceanography; Mechanics; Physics","score_opus":0.007753018284866312,"score_gpt":0.23486672139088854,"score_spread":0.22711370310602222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078058411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522287,0.000041652842,0.0017634671,0.000089628615,0.00000965648,0.000017962771,0.00024590947,0.000044586344,0.0025642554],"genre_scores_gemma":[0.9979371,0.000027291913,0.0013740378,0.000019388166,0.0000031331795,0.000011511739,0.00018206959,0.000009379431,0.00043616846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999242,0.000013799615,0.0000034138855,0.000012635095,0.0000114705,0.00003443371],"domain_scores_gemma":[0.9996854,0.00012463218,0.000045511424,0.000024407482,0.000047857997,0.00007216191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022413474,0.00030420756,0.00040835675,0.00036872513,0.00048767577,0.00067931536,0.0006655323,0.000958964,0.0013523876],"category_scores_gemma":[0.00071124017,0.00022853893,0.00047792107,0.00042488723,0.0005856672,0.00038367728,0.00048480515,0.00040043352,0.00008990393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010450709,0.000109132445,0.013235678,0.00001625854,0.000024848048,0.00030206176,0.000051732888,0.9820794,0.0016003102,0.0006539073,0.00027538676,0.0015468055],"study_design_scores_gemma":[0.00003260718,0.00001830818,0.002995755,0.0000027376852,0.0000053733625,0.000009652904,0.000034500335,0.99648947,0.00014891039,0.00014934031,0.000108820044,0.000004396377],"about_ca_topic_score_codex":0.0721851,"about_ca_topic_score_gemma":0.036655325,"teacher_disagreement_score":0.0721851,"about_ca_system_score_codex":0.0011151959,"about_ca_system_score_gemma":0.00075205846,"threshold_uncertainty_score":0.14352989},"labels":[],"label_agreement":null},{"id":"W2078541383","doi":"10.3402/tellusa.v64i0.17614","title":"Simulation of surface temperature and ice cover of large northern lakes with 1-D models: a comparison with MODIS satellite data and &lt;i&gt;in situ&lt;/i&gt; measurements","year":2012,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; University of Waterloo","funders":"","keywords":"Snow; Moderate-resolution imaging spectroradiometer; Satellite; Environmental science; Flake; Climatology; Data assimilation; Geology; Atmospheric sciences; Meteorology; Geography; Geomorphology","score_opus":0.0200368617955574,"score_gpt":0.23306789276320383,"score_spread":0.21303103096764642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078541383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707174,0.000030706382,0.0013202251,0.00005865317,0.000007835936,0.000018658176,0.0004583914,0.00011089899,0.0009228007],"genre_scores_gemma":[0.9971125,0.000028146309,0.0020837947,0.000016035143,0.0000029831306,0.00002877004,0.0004443911,0.000013291547,0.0002700684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998723,0.000035671674,0.0000089413625,0.000036401812,0.00001718136,0.00002953824],"domain_scores_gemma":[0.999503,0.0002386764,0.000060277587,0.000038873477,0.00009916272,0.000060024497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004865341,0.00064905797,0.00045018297,0.00035360054,0.00049866753,0.00065111247,0.0009189436,0.00086774037,0.000859025],"category_scores_gemma":[0.00106011,0.0005037877,0.00080381933,0.0004412138,0.00043826023,0.00039535915,0.00032588415,0.00041168596,0.000104673454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008881932,0.000059582948,0.013011657,0.000016497643,0.000035375433,0.00003418374,0.000044079425,0.9842972,0.00079217646,0.000117668395,0.00013099771,0.0013716951],"study_design_scores_gemma":[0.000029537694,0.000023836643,0.00397345,0.0000023477753,0.000010253156,0.000003844354,0.000027474978,0.99551034,0.00029509413,0.00003514837,0.000082030216,0.000006697387],"about_ca_topic_score_codex":0.34477755,"about_ca_topic_score_gemma":0.23187841,"teacher_disagreement_score":0.34477755,"about_ca_system_score_codex":0.0029131076,"about_ca_system_score_gemma":0.0018554395,"threshold_uncertainty_score":0.68554145},"labels":[],"label_agreement":null},{"id":"W2080402544","doi":"10.3402/tellusa.v58i2.14755","title":"Transition of a synoptic system to a polar low via interaction with the orography of Greenland","year":2006,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Orography; Polar; Climatology; Geology; Meteorology; Atmospheric sciences; Environmental science; Geography; Precipitation; Physics","score_opus":0.0031723802840513174,"score_gpt":0.18683395223235041,"score_spread":0.1836615719482991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080402544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894196,0.000007971898,0.00023007815,0.000042620133,0.0000015110031,0.000004459318,0.000032065684,0.000007189795,0.0007321166],"genre_scores_gemma":[0.999749,0.000007057182,0.000100589816,0.000007263529,0.0000010938525,0.000002014418,0.00004453603,0.000001962922,0.00008639918],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988437,0.000034539058,0.0000042782094,0.000015076412,0.000012428431,0.000049355498],"domain_scores_gemma":[0.99985397,0.000043173666,0.00003344823,0.000014666046,0.000020324305,0.000034278648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002984685,0.00012911024,0.00018702992,0.000373388,0.0005470529,0.0008171051,0.00019997286,0.0002441746,0.0010406803],"category_scores_gemma":[0.00059531286,0.00010779784,0.00015736603,0.00036022652,0.0005260888,0.00043053366,0.0006073319,0.0002567745,0.00005884542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006962228,0.00036191143,0.8877206,0.000049287846,0.000108979664,0.005107996,0.0018987777,0.060596053,0.01780811,0.006423267,0.0019771617,0.017251736],"study_design_scores_gemma":[0.00010809671,0.0002548007,0.771529,0.000026090962,0.00009808436,0.0005047072,0.0058953776,0.20746809,0.0064295977,0.0025984664,0.005055642,0.000031967655],"about_ca_topic_score_codex":0.043332558,"about_ca_topic_score_gemma":0.055705372,"teacher_disagreement_score":0.043332558,"about_ca_system_score_codex":0.0014311771,"about_ca_system_score_gemma":0.00043519642,"threshold_uncertainty_score":0.08616066},"labels":[],"label_agreement":null},{"id":"W2087609225","doi":"10.3402/tellusa.v65i0.19110","title":"Causes and consequences of mid–21st-century rapid ice loss events simulated by the Rossby centre regional atmosphere-ocean model","year":2013,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Arctic sea ice decline; Climatology; Sea ice; Ice-albedo feedback; Arctic ice pack; Climate model; Environmental science; Cryosphere; Drift ice; Arctic geoengineering; Geology; Sea ice concentration; Thermohaline circulation; Antarctic sea ice; Sea ice thickness; Climate change; Oceanography","score_opus":0.007506630438547978,"score_gpt":0.1979029237622902,"score_spread":0.19039629332374222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087609225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988385,0.000039289924,0.0001621202,0.000055112552,0.0000068838253,0.00000538398,0.00060434674,0.000031558873,0.00025688682],"genre_scores_gemma":[0.9989693,0.00003569422,0.00010536274,0.000008386094,0.0000030180006,0.0000056266363,0.0008050171,0.000006529671,0.00006107985],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983644,0.00004541844,0.000016349171,0.000035145582,0.000021645586,0.000044977103],"domain_scores_gemma":[0.9995066,0.00013435956,0.00015130053,0.000055791046,0.00007438511,0.000077608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007254197,0.00050422037,0.00027737804,0.0004284118,0.00030994345,0.000503079,0.00043061128,0.00060509535,0.00085056527],"category_scores_gemma":[0.0012872926,0.0002272071,0.00066401873,0.00041521524,0.00026209984,0.000308606,0.0005351288,0.00046991624,0.00012801563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014765218,0.00026951372,0.6141685,0.00009234261,0.00053746667,0.00091839687,0.00013558503,0.3638069,0.0073660053,0.0008974303,0.00220967,0.008121657],"study_design_scores_gemma":[0.000113417525,0.00027129898,0.5281382,0.000017751858,0.0001868021,0.00021865,0.00024360868,0.46579263,0.003441078,0.00051340734,0.0010256437,0.00003748787],"about_ca_topic_score_codex":0.018042777,"about_ca_topic_score_gemma":0.012420667,"teacher_disagreement_score":0.018042777,"about_ca_system_score_codex":0.0005512121,"about_ca_system_score_gemma":0.00038483614,"threshold_uncertainty_score":0.0358755},"labels":[],"label_agreement":null},{"id":"W2090097760","doi":"10.3402/tellusa.v55i2.12088","title":"Spatial hierarchy in Arctic sea ice dynamics","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Polar Programs; Office of Naval Research; Canadian Space Agency; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration","keywords":"Sea ice; Geology; Climatology; Drift ice; Arctic; Temporal scales; Arctic ice pack; Spatial ecology; Oceanography","score_opus":0.005842181297381569,"score_gpt":0.19765540437893217,"score_spread":0.1918132230815506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090097760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138162,0.0032424808,0.03535563,0.0014385306,0.000037724763,0.0000405917,0.000856099,0.00022688844,0.044985853],"genre_scores_gemma":[0.99051243,0.0005978842,0.0063859276,0.00006052421,0.00003727309,0.000016012073,0.00029671006,0.000018836823,0.0020744542],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969137,0.000059043516,0.000027288053,0.000062503736,0.00008994531,0.000069796675],"domain_scores_gemma":[0.99883,0.0003123459,0.00031536384,0.00011589237,0.00031209906,0.00011419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004302455,0.00016722822,0.0001674717,0.0017780318,0.0005395166,0.0013998976,0.0003076354,0.00020510095,0.0025160392],"category_scores_gemma":[0.0022228325,0.00018233513,0.0002818029,0.0013097472,0.0008865965,0.0014669906,0.0009465331,0.00027260958,0.00029624053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029406126,0.000093023744,0.5230262,0.00031744246,0.000116600495,0.0005119191,0.0043402486,0.045246404,0.011716429,0.25765088,0.0043887747,0.15229796],"study_design_scores_gemma":[0.000040625095,0.00011553108,0.630829,0.00015227635,0.00007975556,0.0006798034,0.0036795011,0.13861538,0.0020179006,0.19014852,0.033565227,0.00007656936],"about_ca_topic_score_codex":0.02583191,"about_ca_topic_score_gemma":0.039260443,"teacher_disagreement_score":0.02583191,"about_ca_system_score_codex":0.0012412629,"about_ca_system_score_gemma":0.0006863817,"threshold_uncertainty_score":0.05136311},"labels":[],"label_agreement":null},{"id":"W2092483864","doi":"10.3402/tellusa.v55i1.12085","title":"Southern Ocean upwelling and eddies: sensitivity of the global overturning to the surface density range","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upwelling; Eddy; Oceanography; Geology; Range (aeronautics); Climatology; Environmental science; Meteorology; Geography; Turbulence","score_opus":0.0051003769109707366,"score_gpt":0.1879194632730779,"score_spread":0.18281908636210717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092483864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966401,0.000094263465,0.0019682003,0.00009900191,0.000008963986,0.000008464888,0.0002462054,0.000052967,0.0008819359],"genre_scores_gemma":[0.99905807,0.000077333476,0.00039356528,0.000012515413,0.0000031106242,0.0000040867058,0.00018907923,0.000011458859,0.00025084498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992585,0.000023313078,0.000004760085,0.0000145026115,0.000010990463,0.000020626348],"domain_scores_gemma":[0.99944526,0.00029048158,0.00009135223,0.000050476683,0.000049673312,0.000072705494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039420906,0.0005535893,0.00038084452,0.00025518762,0.00024281577,0.0006367872,0.00030145643,0.00051794865,0.00088398287],"category_scores_gemma":[0.0021896595,0.0003183587,0.0005178519,0.00029233392,0.00032648433,0.00060255424,0.00061834615,0.0004185221,0.00008870253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004400178,0.00010450945,0.10426733,0.00007855799,0.00020018996,0.00023726713,0.00007934443,0.863708,0.023701955,0.001807994,0.00034614585,0.005028661],"study_design_scores_gemma":[0.000079351135,0.00015376472,0.055544846,0.000008946869,0.000054997432,0.00006514522,0.000039910912,0.9387841,0.003753691,0.0011942454,0.00029446246,0.000026474263],"about_ca_topic_score_codex":0.01639954,"about_ca_topic_score_gemma":0.00739588,"teacher_disagreement_score":0.01639954,"about_ca_system_score_codex":0.00047637784,"about_ca_system_score_gemma":0.00023049003,"threshold_uncertainty_score":0.03260815},"labels":[],"label_agreement":null},{"id":"W2094351192","doi":"10.3402/tellusa.v66.23929","title":"Impact of partly ice-free Lake Ladoga on temperature and cloudiness in an anticyclonic winter situation – a case study using a limited area model","year":2014,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Climatology; Environmental science; Anticyclone; Cloud cover; Data assimilation; Numerical weather prediction; Greenland ice sheet; Geology; Physical geography; Meteorology; Glacier; Geography; Cloud computing","score_opus":0.02866136084841926,"score_gpt":0.2753626060161732,"score_spread":0.24670124516775394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094351192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985494,0.000039989245,0.00039035248,0.000072434515,0.000005439899,0.000008307213,0.00017504039,0.000029414012,0.00072963093],"genre_scores_gemma":[0.9993129,0.000027146149,0.00028792437,0.000009424743,0.0000029612495,0.0000072410817,0.00012523614,0.000007368789,0.00021976106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998627,0.000042876436,0.000010183289,0.000030416997,0.000012351829,0.000041444193],"domain_scores_gemma":[0.9995591,0.00021319815,0.00005300604,0.000033753407,0.00004999308,0.00009081648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028030528,0.0006549865,0.00056635996,0.00034416036,0.00066012744,0.0011315198,0.0007757399,0.0013450562,0.0011282687],"category_scores_gemma":[0.00087705033,0.0003808714,0.000748561,0.00038697277,0.0005211855,0.0006050556,0.0007035013,0.0005594242,0.00008381809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000223224,0.00017079551,0.028926032,0.000035616653,0.00008496173,0.0007372075,0.00009420232,0.96483195,0.002814119,0.00040590632,0.00026541465,0.001410536],"study_design_scores_gemma":[0.00007863406,0.00008367775,0.009956644,0.0000063561765,0.000044451554,0.000030904717,0.00009305089,0.9888437,0.000562328,0.000115098606,0.00016946951,0.000015830114],"about_ca_topic_score_codex":0.10232105,"about_ca_topic_score_gemma":0.05849637,"teacher_disagreement_score":0.10232105,"about_ca_system_score_codex":0.0013376544,"about_ca_system_score_gemma":0.0008625158,"threshold_uncertainty_score":0.20345098},"labels":[],"label_agreement":null},{"id":"W2102044921","doi":"10.1111/j.1600-0870.2011.00535.x","title":"Calibrating probabilistic forecasts from an NWP ensemble","year":2011,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"BC Hydro","keywords":"Calibration; Probabilistic logic; Probabilistic forecasting; Probability distribution; Ensemble forecasting; Consensus forecast; Computer science; Numerical weather prediction; Set (abstract data type); Cumulative distribution function; Probability density function; Statistics; Mathematics; Meteorology; Artificial intelligence; Geography","score_opus":0.0297712065548617,"score_gpt":0.2271499324257274,"score_spread":0.1973787258708657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102044921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07080381,0.000041997107,0.9265753,0.000060914463,0.000028339178,0.000048215905,0.00014419851,0.0011946367,0.0011025674],"genre_scores_gemma":[0.67721903,0.000079056,0.3206649,0.000033396358,0.000054283584,0.00009635948,0.00087284273,0.0002853015,0.0006947781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892455,0.0002872561,0.00006392762,0.0002477247,0.0004055765,0.00007092418],"domain_scores_gemma":[0.9943299,0.0026021234,0.0005928085,0.0009726555,0.0013983756,0.000104141975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031121888,0.00059255713,0.00061925437,0.0016092891,0.00039966468,0.00081192894,0.0007289265,0.00042558752,0.001089497],"category_scores_gemma":[0.019914906,0.0005938409,0.00054267765,0.0011979932,0.00030531923,0.0014477175,0.0010558829,0.0015259186,0.00030398203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006883474,0.000043313325,0.008048691,0.00003584765,0.00010674315,0.000061528306,0.00014582061,0.7996509,0.0034602298,0.005150813,0.0011099933,0.18211736],"study_design_scores_gemma":[0.0000046983923,0.000011666231,0.0022597408,0.0000052212845,0.000008789655,0.000013691061,0.000012445908,0.9915883,0.0016797932,0.0037696536,0.000631808,0.000014194005],"about_ca_topic_score_codex":0.0059023276,"about_ca_topic_score_gemma":0.005178573,"teacher_disagreement_score":0.0059023276,"about_ca_system_score_codex":0.00071542844,"about_ca_system_score_gemma":0.00084529613,"threshold_uncertainty_score":0.016458988},"labels":[],"label_agreement":null},{"id":"W2106410993","doi":"10.1111/j.1600-0870.2008.00386.x","title":"An analysis of regional climate model performance over the tropical Americas. Part I: simulating seasonal variability of precipitation associated with ENSO forcing","year":2009,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Supercomputer Centre, Linköpings Universitet; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; Precipitation; Forcing (mathematics); Predictability; Sea surface temperature; Environmental science; El Niño Southern Oscillation; Climate model; Tropics; Multivariate ENSO index; Range (aeronautics); Atmospheric model; Atmospheric sciences; La Niña; Climate change; Geology; Geography; Meteorology; Oceanography","score_opus":0.012448548377182522,"score_gpt":0.24878404024996267,"score_spread":0.23633549187278016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106410993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972127,0.00013330874,0.0007030969,0.000076020006,0.000011275586,0.000009831214,0.00071286975,0.00022045398,0.00092049455],"genre_scores_gemma":[0.9973053,0.00007031367,0.0012873051,0.000020936692,0.0000063986317,0.000015406995,0.0010355543,0.000053867006,0.0002049374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969304,0.00013302601,0.000022787233,0.000077709956,0.000033144417,0.000040391587],"domain_scores_gemma":[0.9982664,0.001006174,0.00017611247,0.00019025308,0.00025521466,0.0001058508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015717443,0.0010513393,0.0006392426,0.00033076075,0.00035091484,0.0006131285,0.00073308405,0.00063415844,0.00090952986],"category_scores_gemma":[0.0028792967,0.00041261144,0.0006907939,0.00062180514,0.0003107746,0.00064385094,0.00034758414,0.0006361682,0.0001589657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059263717,0.00024747546,0.049763598,0.0000720468,0.0003489018,0.00009661674,0.00008313044,0.93530643,0.0039044975,0.0003873699,0.0011480828,0.008049276],"study_design_scores_gemma":[0.00013962029,0.00028151216,0.02811196,0.000008425064,0.000103626255,0.000030572035,0.00006306788,0.96830386,0.0023659987,0.0001617356,0.00040761335,0.00002191594],"about_ca_topic_score_codex":0.04971936,"about_ca_topic_score_gemma":0.030203056,"teacher_disagreement_score":0.04971936,"about_ca_system_score_codex":0.0009508581,"about_ca_system_score_gemma":0.0006073287,"threshold_uncertainty_score":0.098859906},"labels":[],"label_agreement":null},{"id":"W2147866756","doi":"10.3402/tellusa.v52i4.12273","title":"Synoptic climatology of Northern Hemisphere available potential energy collapses","year":2000,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Climatology; Northern Hemisphere; Environmental science; Meteorology; Atmospheric sciences; Geology; Geography","score_opus":0.00463501807997642,"score_gpt":0.18958044024332515,"score_spread":0.18494542216334872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147866756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628603,0.00010107858,0.0001661052,0.000026504567,0.0000037935874,0.000009415294,0.001665214,0.00003305648,0.0017088192],"genre_scores_gemma":[0.99748105,0.00007440014,0.0001237593,0.000009225414,0.000006697609,0.00000936519,0.0020212736,0.0000034446232,0.00027085395],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990904,0.000009673621,0.000013437079,0.000022747468,0.000029583194,0.000015521422],"domain_scores_gemma":[0.9995372,0.00004917827,0.00020425781,0.000027555798,0.00009283068,0.00008905331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022756156,0.00013159827,0.000137151,0.0011684435,0.0002253871,0.0004332503,0.00012174789,0.000110496476,0.0011400529],"category_scores_gemma":[0.00058347196,0.000104922685,0.00012856637,0.0009722632,0.0001583743,0.0002879987,0.0003328777,0.00013007697,0.00009434972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013485386,0.000034527973,0.97741,0.00005043097,0.00014069898,0.00023641558,0.00045569727,0.0054776035,0.004034279,0.0003051807,0.002288719,0.009431505],"study_design_scores_gemma":[0.0000023232144,0.000009905328,0.9972613,0.00000355935,0.000007386527,0.00004520272,0.00007408584,0.0018322604,0.00013683534,0.00003135655,0.0005929273,0.0000028871707],"about_ca_topic_score_codex":0.01963067,"about_ca_topic_score_gemma":0.033698183,"teacher_disagreement_score":0.01963067,"about_ca_system_score_codex":0.00060739537,"about_ca_system_score_gemma":0.00021153575,"threshold_uncertainty_score":0.039032817},"labels":[],"label_agreement":null},{"id":"W2160841733","doi":"10.3402/tellusa.v52i2.12262","title":"Atmospheric water species budget in mesoscale simulations of lee cyclones over the Mackenzie River Basin","year":2000,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Precipitation; Moisture; Atmospheric sciences; Hydrology (agriculture); Mesoscale meteorology; Convection; Geology; Climatology; Meteorology; Physics","score_opus":0.006278778892959164,"score_gpt":0.2096846917935088,"score_spread":0.20340591290054963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160841733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99915683,0.000015159107,0.000107580774,0.000044541284,0.0000035801959,0.0000068986196,0.000108482556,0.000026383974,0.00053054636],"genre_scores_gemma":[0.9993806,0.000016355189,0.00026050076,0.000012666908,0.0000019926445,0.000009490994,0.00013567782,0.000008688487,0.00017400937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999186,0.000017969485,0.0000061727005,0.000019590028,0.0000120886725,0.00002561736],"domain_scores_gemma":[0.9998344,0.00004794531,0.000023450615,0.000014519108,0.000025560299,0.000054125914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702152,0.0004854928,0.00039019802,0.00033993155,0.0006578777,0.0007395145,0.0006075867,0.000721439,0.0008620108],"category_scores_gemma":[0.0007162713,0.00049552624,0.00049383397,0.00032526182,0.00044874314,0.0005205545,0.00048693444,0.0005259186,0.00007910507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068168005,0.00041772064,0.110561036,0.000055429315,0.00022873525,0.00056392315,0.00019185191,0.869964,0.011347025,0.0010941746,0.0009270384,0.0039674114],"study_design_scores_gemma":[0.00014820328,0.00012843282,0.03648097,0.000008019996,0.000038517646,0.000022158496,0.00012335219,0.96113724,0.0013823053,0.00015011095,0.0003589738,0.000021718808],"about_ca_topic_score_codex":0.06660044,"about_ca_topic_score_gemma":0.051118497,"teacher_disagreement_score":0.93339956,"about_ca_system_score_codex":0.0014378779,"about_ca_system_score_gemma":0.0008925944,"threshold_uncertainty_score":0.13242555},"labels":[],"label_agreement":null},{"id":"W2166529139","doi":"10.3402/tellusa.v54i1.12119","title":"Effects of hydrostatic approximation and resolution on the simulation of convective adjustment","year":2002,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"","keywords":"Hydrostatic equilibrium; Convection; Mechanics; Stratification (seeds); Geology; Physics; Mathematics","score_opus":0.0072079190660458365,"score_gpt":0.19048089654798356,"score_spread":0.18327297748193772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166529139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811029,0.00028537598,0.014248928,0.00023527171,0.00006256821,0.000038879945,0.00021945049,0.0003618641,0.003444855],"genre_scores_gemma":[0.99424875,0.00008453293,0.0051792003,0.000046880174,0.000010061982,0.000014840143,0.00008203446,0.00005711117,0.00027656573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995278,0.0001831633,0.000040748146,0.0000685802,0.00009038112,0.00008922641],"domain_scores_gemma":[0.99705875,0.0019110836,0.00025063803,0.0003515106,0.0002251007,0.00020283372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075491,0.00061144313,0.0005885527,0.0003231061,0.00048043093,0.0010513023,0.0010183753,0.0008299509,0.00092055567],"category_scores_gemma":[0.0068071513,0.00044626047,0.0006183243,0.00058135757,0.0008516715,0.0010161434,0.0008013212,0.0009174511,0.00012789166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055683433,0.00018923468,0.017379267,0.000082798804,0.000110746856,0.0002229064,0.00012356344,0.9593187,0.012081834,0.0023562263,0.00027612265,0.007301703],"study_design_scores_gemma":[0.00011150361,0.000117235635,0.0032121202,0.000012627431,0.000047389665,0.0000309469,0.000036978698,0.98965997,0.006008948,0.00039466706,0.00034111872,0.000026551166],"about_ca_topic_score_codex":0.009931635,"about_ca_topic_score_gemma":0.006494829,"teacher_disagreement_score":0.009931635,"about_ca_system_score_codex":0.00068541657,"about_ca_system_score_gemma":0.00076035684,"threshold_uncertainty_score":0.019747615},"labels":[],"label_agreement":null},{"id":"W2191043730","doi":"10.3402/tellusa.v67.25482","title":"Atmospheric energy transport to the Arctic 1979–2012","year":2015,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Arctic dipole anomaly; Arctic; Environmental science; Troposphere; Arctic sea ice decline; Arctic geoengineering; Atmospheric sciences; The arctic; Potential vorticity; Flux (metallurgy); Vorticity; Oceanography; Geography; Geology; Arctic ice pack; Meteorology","score_opus":0.008770447995464505,"score_gpt":0.19570877273871212,"score_spread":0.18693832474324762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191043730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8166412,0.0055095577,0.0039345473,0.0011614212,0.00078191195,0.000047989724,0.11396604,0.000439706,0.05751757],"genre_scores_gemma":[0.9338433,0.0033829026,0.0025204138,0.00013000092,0.00022821725,0.000049744394,0.048083905,0.000078576304,0.01168288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988496,0.000011642436,0.000012051468,0.000029619972,0.000040268063,0.000021394571],"domain_scores_gemma":[0.99985826,0.0000075952066,0.00002209641,0.000008177661,0.000093633724,0.000010222506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016362798,0.00030697358,0.00017631457,0.000775261,0.00044482222,0.0005031521,0.00018709074,0.00017199299,0.0017738905],"category_scores_gemma":[0.00040251168,0.00011930538,0.0003853159,0.0013118972,0.00006244089,0.0002389298,0.00021781652,0.00026534538,0.00087794836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038437836,0.00021629287,0.67100525,0.00050951296,0.0012045533,0.0006013862,0.0003583149,0.098463506,0.0061698016,0.0050141593,0.08225817,0.1338148],"study_design_scores_gemma":[0.000030265297,0.00002744527,0.85971916,0.000121516576,0.00018702746,0.00013239335,0.00016685473,0.022959119,0.0025254802,0.000618987,0.11347312,0.000038786395],"about_ca_topic_score_codex":0.3131634,"about_ca_topic_score_gemma":0.25393867,"teacher_disagreement_score":0.3131634,"about_ca_system_score_codex":0.0015729317,"about_ca_system_score_gemma":0.0012524244,"threshold_uncertainty_score":0.62268114},"labels":[],"label_agreement":null},{"id":"W2475607132","doi":"10.3402/tellusa.v68.32204","title":"Robustness of serial clustering of extratropical cyclones to the choice of tracking method","year":2016,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Extratropical cyclone; Climatology; Cyclone (programming language); Cyclogenesis; Overdispersion; North Atlantic oscillation; Environmental science; Storm; Meteorology; Statistics; Geology; Geography; Computer science; Mathematics; Count data","score_opus":0.0177483987898545,"score_gpt":0.2720586462925329,"score_spread":0.2543102475026784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475607132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835645,0.0005323608,0.013264147,0.00006555376,0.00008136433,0.00007879951,0.00081404805,0.0002038321,0.00139538],"genre_scores_gemma":[0.99228776,0.000106917,0.004711366,0.000033604836,0.000030481107,0.000029159375,0.0023502423,0.00006542403,0.00038498561],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942187,0.0022959851,0.0005322498,0.0018945663,0.00077762414,0.00028082845],"domain_scores_gemma":[0.9537602,0.029681401,0.005927359,0.0067000464,0.0033186574,0.00061233016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013608868,0.00058989995,0.00066156604,0.0017861291,0.0007208013,0.0015545224,0.00067222246,0.0006271967,0.00087665895],"category_scores_gemma":[0.040434133,0.00028215107,0.0012556196,0.0013154529,0.00064216234,0.0010448786,0.0010323279,0.00055822823,0.00033976193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015120959,0.0001486856,0.8479661,0.00022143422,0.0024694873,0.00011423062,0.0006024858,0.07665477,0.005074869,0.0005172921,0.0016335864,0.06308507],"study_design_scores_gemma":[0.000078226294,0.00040695062,0.7660121,0.00010948761,0.0005126242,0.00021245402,0.0005206959,0.22247525,0.006692384,0.0011555399,0.0016968457,0.00012747223],"about_ca_topic_score_codex":0.012279289,"about_ca_topic_score_gemma":0.007705769,"teacher_disagreement_score":0.013608868,"about_ca_system_score_codex":0.00067549385,"about_ca_system_score_gemma":0.00064620393,"threshold_uncertainty_score":0.071971476},"labels":[],"label_agreement":null},{"id":"W2528455018","doi":"10.3402/tellusa.v68.31971","title":"The influence of winter and summer atmospheric circulation on the variability of temperature and sea ice around Greenland","year":2016,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canada Excellence Research Chairs, Government of Canada; Division of Arctic Sciences; Canada Research Chairs; ArcticNet","keywords":"Climatology; Atmospheric circulation; Environmental science; Sea ice; Atmospheric sciences; Circulation (fluid dynamics); Arctic ice pack; Air temperature; Oceanography; Geology","score_opus":0.005452477280639109,"score_gpt":0.19347298227073628,"score_spread":0.18802050499009718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528455018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995055,0.000060221086,0.000017117696,0.000023974084,0.0000024778606,7.789219e-7,0.00011066755,0.0000032450778,0.00027602806],"genre_scores_gemma":[0.99960583,0.00004776924,0.000026447486,0.000014311009,0.000003390095,9.483853e-7,0.00019821677,0.0000023844768,0.000100824334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990165,0.000019580488,0.000005589499,0.000022896824,0.00001525189,0.000034988985],"domain_scores_gemma":[0.9997074,0.000056197237,0.000080528465,0.000019649764,0.000050010844,0.00008613462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017321219,0.00020235119,0.00018030268,0.0005585994,0.00030687964,0.00067203125,0.0001761373,0.00015306652,0.00048142482],"category_scores_gemma":[0.0005328252,0.000095460324,0.0001692472,0.0005481628,0.0004019992,0.0002444215,0.00031951017,0.0001359002,0.00008145087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090576,0.000015834192,0.98960054,0.0000106824355,0.00007336111,0.00018658832,0.00020375152,0.0008897608,0.004405591,0.000056130935,0.00017606573,0.0042911526],"study_design_scores_gemma":[8.577785e-7,0.000004074704,0.99961567,0.0000016055778,0.000004061083,0.0000093057315,0.0000652739,0.00017744522,0.000038491336,0.000007317371,0.00007483105,0.0000010059242],"about_ca_topic_score_codex":0.24959701,"about_ca_topic_score_gemma":0.4520288,"teacher_disagreement_score":0.24959701,"about_ca_system_score_codex":0.001348713,"about_ca_system_score_gemma":0.0007501246,"threshold_uncertainty_score":0.49628842},"labels":[],"label_agreement":null},{"id":"W2559600452","doi":"10.3402/tellusa.v68.31547","title":"Parametric Kalman filter for chemical transport models","year":2016,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ensemble Kalman filter; Kalman filter; Data assimilation; Parametric statistics; Context (archaeology); Extended Kalman filter; Covariance; Advection; Computer science; Invariant extended Kalman filter; Covariance matrix; Mathematics; Algorithm; Physics; Meteorology; Statistics; Artificial intelligence; Geography","score_opus":0.02088860789687884,"score_gpt":0.2230225632579918,"score_spread":0.20213395536111295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559600452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013094146,0.0004110542,0.9958183,0.00008052876,0.00006574208,0.000014021385,0.00015414532,0.00035168586,0.0017951062],"genre_scores_gemma":[0.5285675,0.004383305,0.44054168,0.0002753488,0.0005411735,0.0005958503,0.0025053003,0.00041339168,0.02217641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952877,0.00011479559,0.00003214995,0.00012579604,0.00015378893,0.0000447062],"domain_scores_gemma":[0.99937254,0.0002966093,0.000071035676,0.00008220722,0.00016318125,0.000014410386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073308824,0.0006902372,0.0010481752,0.00045881385,0.0003962587,0.0010710072,0.0010054987,0.0009403568,0.0031474226],"category_scores_gemma":[0.0035878073,0.00040077054,0.0007750312,0.00072698196,0.00042302578,0.0016546911,0.00075923704,0.001726017,0.001255945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048599057,0.00002348161,0.00051857065,0.00017477942,0.000073876654,0.000074886266,0.000064511616,0.84749466,0.0022376694,0.06884131,0.003156625,0.077291],"study_design_scores_gemma":[0.000005791291,0.000010497801,0.00017951794,0.000009913483,0.000010607525,0.000015768732,0.0000044384105,0.97979754,0.00040820296,0.015054301,0.004491901,0.000011530458],"about_ca_topic_score_codex":0.01234097,"about_ca_topic_score_gemma":0.0067029614,"teacher_disagreement_score":0.01234097,"about_ca_system_score_codex":0.000774175,"about_ca_system_score_gemma":0.0013546183,"threshold_uncertainty_score":0.024538279},"labels":[],"label_agreement":null},{"id":"W2605673073","doi":"10.1080/16000870.2017.1313025","title":"Towards improved objective analysis of lake surface water temperature in a NWP model: preliminary assessment of statistical properties","year":2017,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Satellite; Climatology; Autocorrelation; Data assimilation; Numerical weather prediction; Meteorology; Mathematics; Geology; Statistics; Geography","score_opus":0.011098952043858783,"score_gpt":0.26216718078910745,"score_spread":0.25106822874524864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605673073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45305845,0.00021011387,0.54349583,0.00033193346,0.000020826243,0.00008657119,0.00073585234,0.00044475892,0.0016155432],"genre_scores_gemma":[0.91214013,0.00018071795,0.085512824,0.00005026345,0.0000386778,0.00014942746,0.0009411944,0.00017594083,0.0008107508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966383,0.0001623769,0.000023380433,0.000061787745,0.00005392246,0.000034825316],"domain_scores_gemma":[0.9984382,0.00081628544,0.0001918057,0.00010722898,0.0003774496,0.000069184316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018173539,0.0009994569,0.0007610977,0.00044204967,0.00024194593,0.0010350992,0.00088400644,0.00084556243,0.00058987155],"category_scores_gemma":[0.0064958846,0.0004177273,0.00074878574,0.0003258947,0.00036717384,0.0012546207,0.0009730055,0.0009607212,0.000120819575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002649493,0.00003590334,0.0071676658,0.000037576134,0.000042495976,0.000051394247,0.00003592399,0.98571116,0.0015505954,0.0011154602,0.00011570193,0.0041095424],"study_design_scores_gemma":[0.0000016379238,0.0000034597947,0.00048325598,0.0000016008055,0.000002131644,0.0000012026628,0.0000026898208,0.99921405,0.0001226277,0.00013394098,0.000031196858,0.0000021269266],"about_ca_topic_score_codex":0.017640142,"about_ca_topic_score_gemma":0.011084975,"teacher_disagreement_score":0.017640142,"about_ca_system_score_codex":0.00042516194,"about_ca_system_score_gemma":0.0013507431,"threshold_uncertainty_score":0.03507495},"labels":[],"label_agreement":null},{"id":"W2792499691","doi":"10.1080/16000870.2018.1445379","title":"Impacts on sea ice analyses from the assumption of uncorrelated ice thickness observation errors: Experiments using a 1D toy model","year":2018,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"Environment and Climate Change Canada","keywords":"Uncorrelated; Standard deviation; Covariance; Covariance matrix; Diagonal; Mathematics; Data assimilation; Standard error; Scale (ratio); Statistics; Meteorology; Geometry; Physics","score_opus":0.05469825451249392,"score_gpt":0.30019580358642056,"score_spread":0.24549754907392665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792499691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98155814,0.000064639375,0.017504705,0.00011800001,0.000024118659,0.00001952248,0.00014506638,0.0001403296,0.00042541482],"genre_scores_gemma":[0.9907199,0.000034617577,0.008753049,0.000034485638,0.0000049132823,0.000018331892,0.00023847274,0.000034836452,0.00016127288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985832,0.0006780961,0.00010788158,0.0002476207,0.00026201215,0.00012128723],"domain_scores_gemma":[0.9892096,0.007844509,0.0009135609,0.0011522177,0.0005760026,0.00030404422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026871776,0.0005942075,0.0007151282,0.00032385948,0.00045403972,0.0009989,0.0006263505,0.00065588043,0.0006803838],"category_scores_gemma":[0.016428217,0.00044001592,0.0007406295,0.00038034024,0.0014121353,0.0009842489,0.001051692,0.0010455647,0.000095486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001536394,0.00028891704,0.009064959,0.00012483785,0.00016919646,0.00024963965,0.00021429925,0.9590402,0.018871617,0.0029500972,0.00039134745,0.0070984266],"study_design_scores_gemma":[0.00008620365,0.0003198422,0.0028570434,0.000008539045,0.000025719937,0.0000473901,0.00006973305,0.9866328,0.008589861,0.0012182369,0.000117198935,0.000027444006],"about_ca_topic_score_codex":0.010440341,"about_ca_topic_score_gemma":0.0034139468,"teacher_disagreement_score":0.010440341,"about_ca_system_score_codex":0.00066349114,"about_ca_system_score_gemma":0.0007725503,"threshold_uncertainty_score":0.020759165},"labels":[],"label_agreement":null},{"id":"W2846056831","doi":"10.1080/16000870.2018.1481688","title":"Recent subsurface North Atlantic cooling trend in context of Atlantic decadal-to-multidecadal variability","year":2018,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Atlantic multidecadal oscillation; Ocean gyre; North Atlantic oscillation; Atlantic Equatorial mode; North Atlantic Deep Water; Climatology; Ocean heat content; Context (archaeology); Atlantic hurricane; Gulf Stream; Sea surface temperature; Oceanography; Pacific decadal oscillation; Thermohaline circulation; Geology; Environmental science","score_opus":0.012192723947361069,"score_gpt":0.24117644152835555,"score_spread":0.22898371758099448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2846056831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974806,0.00031011226,0.00027236834,0.00010258719,0.000016051375,0.0000017561824,0.00084569165,0.000011256232,0.00095954665],"genre_scores_gemma":[0.99899334,0.0001288736,0.000112019756,0.0000152193,0.0000151916165,0.0000025045774,0.0006046454,0.0000035670691,0.00012456275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999536,0.0000055201053,0.0000053446297,0.000018386389,0.0000066359,0.000010469777],"domain_scores_gemma":[0.9996137,0.00005150764,0.00014634896,0.00002382283,0.000120790246,0.000043861124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022614267,0.00008207876,0.000116938965,0.00047991713,0.00014684432,0.0004308102,0.00009365244,0.000105438325,0.00085860275],"category_scores_gemma":[0.00073411444,0.000043065313,0.00017281345,0.00073084736,0.000117110816,0.00024400472,0.00031511046,0.0002209282,0.00010286369],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008543951,0.000008985631,0.9832811,0.00003295737,0.000096971446,0.000074848664,0.0003207655,0.0010088711,0.0034714313,0.0004374922,0.00060795504,0.01057305],"study_design_scores_gemma":[8.1582175e-7,0.000008288527,0.99828845,0.0000045810375,0.000011354201,0.000020943986,0.00009152285,0.0008066102,0.00008460582,0.00006033844,0.00062030455,0.0000022375302],"about_ca_topic_score_codex":0.011271705,"about_ca_topic_score_gemma":0.02095985,"teacher_disagreement_score":0.011271705,"about_ca_system_score_codex":0.0002475185,"about_ca_system_score_gemma":0.00016068503,"threshold_uncertainty_score":0.02241224},"labels":[],"label_agreement":null},{"id":"W290636014","doi":"10.3402/tellusa.v67.25950","title":"Evaluation of two modified Kalman gain algorithms for radar data assimilation in the WRF model","year":2015,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Data assimilation; Kalman filter; Ensemble Kalman filter; Algorithm; Computer science; Mean squared error; Radar; Weather Research and Forecasting Model; Fast Kalman filter; Numerical weather prediction; Square root; Extended Kalman filter; Mathematics; Meteorology; Statistics; Artificial intelligence","score_opus":0.1672147926936405,"score_gpt":0.34029965846942484,"score_spread":0.17308486577578433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W290636014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39824998,0.00034583954,0.597639,0.00021066844,0.00013323197,0.00010232409,0.00010988572,0.0012131274,0.0019958988],"genre_scores_gemma":[0.8370812,0.00010618625,0.16180888,0.000042819567,0.000017097726,0.000071931,0.00013403843,0.00007381221,0.0006640784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991509,0.0002653204,0.000071945404,0.00014509661,0.00027870547,0.00008808321],"domain_scores_gemma":[0.99668914,0.0017841381,0.0002533875,0.00037783373,0.0008121808,0.00008331381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024542862,0.00063884794,0.00074710295,0.00045532238,0.0003648957,0.00083469844,0.0009014038,0.001148017,0.0007200941],"category_scores_gemma":[0.010635499,0.0003435064,0.0005372367,0.0003395338,0.00034095618,0.0014881515,0.00075616874,0.00082000863,0.00015165137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042693928,0.00013333649,0.0043232986,0.00007075702,0.00013472409,0.000043552704,0.00008601407,0.9089899,0.0071359235,0.0024811085,0.00027493888,0.07589945],"study_design_scores_gemma":[0.000015699963,0.00005642506,0.00067833386,0.0000023449911,0.000009262308,0.000007755216,0.000006309909,0.9972452,0.0016602057,0.00018076245,0.00012762258,0.000010189316],"about_ca_topic_score_codex":0.013778236,"about_ca_topic_score_gemma":0.010779928,"teacher_disagreement_score":0.013778236,"about_ca_system_score_codex":0.00063749065,"about_ca_system_score_gemma":0.0011701097,"threshold_uncertainty_score":0.027396083},"labels":[],"label_agreement":null},{"id":"W2914948330","doi":"10.1080/16000870.2018.1564487","title":"Data fusion and data assimilation of ice thickness observations using a regularisation framework","year":2019,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Environment and Climate Change Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Data assimilation; Sensor fusion; Fusion; Data set; Sea ice; Covariance; Mean squared error; Range (aeronautics); Remote sensing; Mathematics; Norm (philosophy); Algorithm; Computer science; Statistics; Meteorology; Geology; Climatology; Physics; Artificial intelligence","score_opus":0.04871702233822625,"score_gpt":0.2746500078494842,"score_spread":0.22593298551125793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914948330","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24804962,0.00015813072,0.7498874,0.00017382405,0.000040513143,0.000059163616,0.00011414042,0.0004550368,0.0010621097],"genre_scores_gemma":[0.7862553,0.000081472805,0.21271627,0.000041987467,0.000023291183,0.000077496275,0.00027980303,0.000047745303,0.0004767496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953413,0.00014528022,0.000029856952,0.00011720848,0.00012555916,0.000047931047],"domain_scores_gemma":[0.99958414,0.00011859456,0.0000675115,0.000089632464,0.00012122727,0.000018936134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013210488,0.00058087654,0.0005723311,0.00032645228,0.00026727226,0.0006507452,0.00043668103,0.00056440354,0.00024429196],"category_scores_gemma":[0.0016714798,0.0002505133,0.0007419194,0.0004743449,0.00053380325,0.00072427857,0.0008201513,0.00074955256,0.0001103638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023428218,0.0000948637,0.0018148801,0.00006046395,0.00008814855,0.00006366078,0.00011271447,0.9071109,0.04487587,0.0029763519,0.00031238294,0.042255495],"study_design_scores_gemma":[0.000009479938,0.000039106257,0.0007292715,0.0000016165435,0.0000051191323,0.000007990083,0.000008276098,0.99404883,0.0043935254,0.0005675224,0.00017767707,0.000011498194],"about_ca_topic_score_codex":0.005186518,"about_ca_topic_score_gemma":0.0030267541,"teacher_disagreement_score":0.005186518,"about_ca_system_score_codex":0.0004265369,"about_ca_system_score_gemma":0.0007925788,"threshold_uncertainty_score":0.010312676},"labels":[],"label_agreement":null},{"id":"W2931157720","doi":"10.1080/16000870.2019.1591856","title":"Decadal variance of summer near-surface temperature maximum in Canada Basin of Arctic Ocean","year":2019,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; China Academy of Engineering Physics; National Natural Science Foundation of China","keywords":"Arctic; Structural basin; Canada Basin; Climatology; Period (music); Sea ice; Environmental science; Sea surface temperature; Oceanography; Geology; Atmospheric sciences","score_opus":0.003953218469327416,"score_gpt":0.1793281779488054,"score_spread":0.17537495947947798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931157720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952696,0.0005384805,0.0002266436,0.00012346182,0.000021561971,0.0000026794044,0.0023416518,0.000026417223,0.0014495088],"genre_scores_gemma":[0.9979188,0.00016321559,0.000091896625,0.000014032347,0.00000742878,0.0000021609253,0.0014089191,0.0000056353397,0.00038790007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998709,0.000006522345,0.0000059402655,0.000045190878,0.000033728084,0.000037637918],"domain_scores_gemma":[0.99964726,0.000021893966,0.000051699524,0.000016201959,0.00020024588,0.0000626963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018645177,0.00013207446,0.00015680045,0.00072014245,0.00048953807,0.00061009673,0.00018557275,0.00012512483,0.00057098037],"category_scores_gemma":[0.00058607315,0.00007339378,0.00015644888,0.0011991377,0.00018903866,0.00016216807,0.0002962781,0.00019815189,0.00007292885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008090167,0.000007755358,0.98297805,0.00002896138,0.000106060055,0.000096244235,0.0005153413,0.0011159204,0.0021496906,0.00032177102,0.0021441411,0.010455072],"study_design_scores_gemma":[7.162923e-7,0.0000020371708,0.99796706,0.0000043373275,0.000009425156,0.00001605778,0.00015214246,0.00058349373,0.00011310474,0.000024121542,0.0011232526,0.000004221378],"about_ca_topic_score_codex":0.6843912,"about_ca_topic_score_gemma":0.80416363,"teacher_disagreement_score":0.3156088,"about_ca_system_score_codex":0.0020574029,"about_ca_system_score_gemma":0.0020723143,"threshold_uncertainty_score":0.63493496},"labels":[],"label_agreement":null},{"id":"W3046396298","doi":"10.1080/16000870.2020.1788901","title":"On the contribution of internal climate variability to European future climate trends","year":2020,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Sveriges Meteorologiska och Hydrologiska Institut","keywords":"Climatology; Precipitation; Environmental science; Climate change; Climate model; Atmospheric sciences; Geography; Meteorology; Geology; Oceanography","score_opus":0.007738336238956814,"score_gpt":0.2188850445765721,"score_spread":0.21114670833761529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046396298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800228,0.0012845834,0.011290146,0.00029076848,0.000045293986,0.000012393745,0.0017407185,0.000113070884,0.005200259],"genre_scores_gemma":[0.996093,0.00047326498,0.0013273014,0.000029306642,0.000022102033,0.000010736749,0.0016639731,0.000042884258,0.00033751834],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918526,0.0002826844,0.00006676802,0.00024898368,0.0001428426,0.000073401774],"domain_scores_gemma":[0.9936699,0.0041213874,0.000789626,0.00065378123,0.00064469024,0.000120590485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041458304,0.0004892283,0.00037905847,0.0010217202,0.00034570709,0.001707365,0.00043924566,0.0005788945,0.0011133077],"category_scores_gemma":[0.011595078,0.00028572054,0.0011762611,0.0014870479,0.00034772186,0.0013180639,0.00078124175,0.0004957734,0.00015812878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002757476,0.000049841066,0.51953155,0.0002010639,0.0011368553,0.00041694357,0.00045276716,0.40950572,0.0033086669,0.008559019,0.0010471814,0.0555146],"study_design_scores_gemma":[0.000019338013,0.00011823982,0.6325833,0.00019853328,0.0005099156,0.00036771668,0.00022692715,0.34921333,0.0024297484,0.00811163,0.0061361436,0.000085094485],"about_ca_topic_score_codex":0.005991315,"about_ca_topic_score_gemma":0.0034312767,"teacher_disagreement_score":0.005991315,"about_ca_system_score_codex":0.0004680971,"about_ca_system_score_gemma":0.00031689246,"threshold_uncertainty_score":0.021925509},"labels":[],"label_agreement":null},{"id":"W3055892768","doi":"10.1080/16000870.2020.1803663","title":"Climate persistence and memory","year":2020,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Autocorrelation; Persistence (discontinuity); Exponent; Geopotential height; Climatology; Scaling; Mathematics; Confidence interval; Precipitation; Statistical physics; Atmospheric sciences; Environmental science; Statistics; Physics; Meteorology; Geology","score_opus":0.02411972541175321,"score_gpt":0.19095855437337184,"score_spread":0.1668388289616186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3055892768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90047246,0.019810809,0.048638705,0.0024698037,0.00016653322,0.00002675483,0.00075626426,0.000160955,0.02749777],"genre_scores_gemma":[0.9972247,0.0011295412,0.00079948985,0.000052668896,0.00008904314,0.000007727321,0.0001031081,0.000009110829,0.00058461976],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973863,0.00004682517,0.000022129783,0.00009549429,0.00004422111,0.000052630687],"domain_scores_gemma":[0.99567896,0.0020921638,0.0014129548,0.0003726787,0.0002431907,0.00020009569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062618166,0.00022959687,0.0003359663,0.0015942393,0.00043393314,0.0013822003,0.00035775115,0.0005277301,0.0020044472],"category_scores_gemma":[0.007135583,0.00011612036,0.00033290818,0.0020349128,0.0011018598,0.0020423187,0.0008131701,0.0006191579,0.00013738254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001752289,0.00008789518,0.434328,0.00042873246,0.00049584894,0.0010966241,0.0017151478,0.044718828,0.003339628,0.30965653,0.0034070897,0.20055045],"study_design_scores_gemma":[0.000012453296,0.00016045899,0.38120213,0.00019946587,0.00019102186,0.001878852,0.0014439631,0.065929845,0.0010504394,0.53347707,0.014345309,0.000109057655],"about_ca_topic_score_codex":0.0020978316,"about_ca_topic_score_gemma":0.0016293296,"teacher_disagreement_score":0.0020978316,"about_ca_system_score_codex":0.0005994464,"about_ca_system_score_gemma":0.0003707897,"threshold_uncertainty_score":0.0067055225},"labels":[],"label_agreement":null},{"id":"W3134038642","doi":"10.1080/16000870.2021.1890412","title":"Recent advances in polar low research: current knowledge, challenges and future perspectives","year":2021,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current (fluid); Engineering ethics; Political science; Data science; Computer science; Engineering; Electrical engineering","score_opus":0.0224786587557359,"score_gpt":0.28515155150466953,"score_spread":0.26267289274893363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134038642","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006395866,0.9873677,0.0006244456,0.008310497,0.0011518263,0.00000872416,0.0001092441,0.00003662333,0.0017513537],"genre_scores_gemma":[0.005594437,0.9852195,0.001244191,0.0036464783,0.0033640782,0.00002774495,0.00023858422,0.000016519209,0.0006485305],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895644,0.0002932164,0.00014060161,0.00027519112,0.0001646542,0.0001697607],"domain_scores_gemma":[0.9892792,0.006612762,0.00077645143,0.00029310837,0.0020678367,0.0009706375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058122477,0.001025063,0.002040407,0.0025456038,0.00081201835,0.0037948198,0.0020008732,0.003452311,0.014282793],"category_scores_gemma":[0.008075257,0.00048084994,0.0011761318,0.004006775,0.0028393164,0.006338185,0.0023445182,0.003639248,0.0038313477],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042267912,0.00013852183,0.003277308,0.017785976,0.00013758652,0.00040500876,0.00040583228,0.0007557271,0.0008082416,0.013504844,0.056078203,0.90628004],"study_design_scores_gemma":[0.000045057626,0.0002565281,0.0046593393,0.014193848,0.00029601116,0.0013932263,0.0018654738,0.0006365389,0.0004509247,0.02254186,0.9535655,0.00009562791],"about_ca_topic_score_codex":0.0026587166,"about_ca_topic_score_gemma":0.0038887907,"teacher_disagreement_score":0.014282793,"about_ca_system_score_codex":0.0015664025,"about_ca_system_score_gemma":0.0048349015,"threshold_uncertainty_score":0.047780693},"labels":[],"label_agreement":null},{"id":"W3214280265","doi":"10.1080/16000870.2021.1976907","title":"Variational assimilation of surface wave data for bathymetry reconstruction. Part I: algorithm and test cases","year":2021,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Bathymetry; Data assimilation; Algorithm; Sensitivity (control systems); Nonlinear system; Convergence (economics); Remote sensing; Geology; Computer science; Meteorology; Geography; Physics; Oceanography; Engineering","score_opus":0.024263962530091724,"score_gpt":0.2306364634671829,"score_spread":0.20637250093709117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214280265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37507552,0.00043593865,0.6164268,0.0004541829,0.00004442801,0.00045013815,0.00041253498,0.00043070284,0.006269706],"genre_scores_gemma":[0.7810965,0.000119085365,0.21652949,0.000049016537,0.000009297956,0.000281025,0.00035824894,0.0000843685,0.0014729889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996244,0.00016436439,0.000028886063,0.00005045281,0.00008640703,0.000045506997],"domain_scores_gemma":[0.99762976,0.0017604062,0.00010212741,0.0001866215,0.00026378455,0.000057212714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019254633,0.0006005378,0.00052505004,0.00037214704,0.00040482692,0.000680771,0.0007735747,0.0017712656,0.0012202918],"category_scores_gemma":[0.0071058967,0.00036823173,0.00055520365,0.00033958268,0.00079988,0.0007621573,0.0010379386,0.0007969869,0.00013706405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017911941,0.00014972797,0.004440357,0.00008473745,0.000052029776,0.00018110107,0.00007010418,0.95509785,0.0056985687,0.012579672,0.0004343254,0.021032372],"study_design_scores_gemma":[0.000011204553,0.000017966488,0.00017895563,0.0000029283144,0.0000022778977,0.000008720665,0.0000049362766,0.99783903,0.001067215,0.000783785,0.00008014436,0.0000029064074],"about_ca_topic_score_codex":0.019382477,"about_ca_topic_score_gemma":0.010118651,"teacher_disagreement_score":0.019382477,"about_ca_system_score_codex":0.0008642055,"about_ca_system_score_gemma":0.0011297254,"threshold_uncertainty_score":0.03853929},"labels":[],"label_agreement":null},{"id":"W4225908394","doi":"10.16993/tellusa.36","title":"Variational Assimilation of Surface Wave Data for Bathymetry Reconstruction. Part II: Second Order Adjoint Sensitivity Analysis","year":2022,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Bathymetry; Sensitivity (control systems); Data assimilation; Shoal; Geology; Gaussian; Geodesy; Remote sensing; Meteorology; Physics; Geomorphology; Oceanography","score_opus":0.019504727087120807,"score_gpt":0.22389593152664497,"score_spread":0.20439120443952416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225908394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06614955,0.0002527849,0.9310576,0.00027366236,0.00005306837,0.000064161555,0.000115321745,0.00016220841,0.00187159],"genre_scores_gemma":[0.8494011,0.00040951747,0.14644778,0.00017493985,0.000058881298,0.00016446465,0.0002981115,0.0001429635,0.0029022084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995906,0.0001580096,0.000021588115,0.000057499168,0.00013971026,0.000032689975],"domain_scores_gemma":[0.9987953,0.00083563116,0.00010156496,0.00011788283,0.00011433651,0.00003534853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013020366,0.0007120218,0.0004086566,0.00041677905,0.00025411567,0.0006698377,0.00055134634,0.0006105531,0.0008069244],"category_scores_gemma":[0.0041486383,0.00047947775,0.0008101788,0.00029067587,0.00085936394,0.00068931584,0.0013569217,0.0010587369,0.00012680182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057125355,0.000058749025,0.004712094,0.00015237175,0.00016572925,0.000110296765,0.0001569961,0.8599201,0.052695297,0.048710745,0.0005815389,0.032679107],"study_design_scores_gemma":[0.0000013794707,0.000008703007,0.00058314047,0.0000047860212,0.0000032653177,0.000009290155,0.0000040187388,0.99072695,0.0037428471,0.0046596546,0.00024888944,0.0000070880624],"about_ca_topic_score_codex":0.0042194007,"about_ca_topic_score_gemma":0.0025618041,"teacher_disagreement_score":0.0042194007,"about_ca_system_score_codex":0.00061003066,"about_ca_system_score_gemma":0.00089131185,"threshold_uncertainty_score":0.008389711},"labels":[],"label_agreement":null},{"id":"W4239612110","doi":"10.1111/j.1600-0870.2008.00387.x","title":"An analysis of regional climate model performance over the tropical Americas. Part II: simulating subseasonal variability of precipitation associated with ENSO forcing","year":2009,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Supercomputer Centre, Linköpings Universitet; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; Precipitation; Forcing (mathematics); Predictability; Environmental science; El Niño Southern Oscillation; Madden–Julian oscillation; Climate model; Wet season; Multivariate ENSO index; Tropics; Atmospheric sciences; La Niña; Climate change; Meteorology; Geography; Geology; Convection; Mathematics; Oceanography","score_opus":0.012929058809094092,"score_gpt":0.24758527799303973,"score_spread":0.23465621918394564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239612110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703526,0.0002454846,0.0007315971,0.00007192197,0.000012068928,0.000008464716,0.0006082289,0.00020517579,0.0010817079],"genre_scores_gemma":[0.9972832,0.00011722681,0.001203486,0.000019170964,0.0000075894727,0.000011685606,0.0010153905,0.0000495574,0.00029274565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978,0.00008997593,0.00001691241,0.00005508906,0.00002967496,0.00002832712],"domain_scores_gemma":[0.9990219,0.0005364095,0.00011603828,0.00009963233,0.00016460844,0.00006153714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010977293,0.00089907757,0.00049834704,0.00030306642,0.00026411796,0.0005582873,0.0004835554,0.0005338984,0.0008848926],"category_scores_gemma":[0.002019381,0.0003373358,0.0006052681,0.00056899874,0.0002188263,0.0004661779,0.00029842186,0.00046857033,0.00017548469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079600496,0.000239043,0.064649075,0.000096226024,0.000442427,0.00013528322,0.00009546891,0.9093165,0.005079468,0.00038871102,0.0013770846,0.017384727],"study_design_scores_gemma":[0.00012203454,0.00042251078,0.06662204,0.000011510165,0.00013882777,0.000046548244,0.000084879415,0.9282421,0.003349807,0.00020895405,0.0007242567,0.000026568312],"about_ca_topic_score_codex":0.04340052,"about_ca_topic_score_gemma":0.023918685,"teacher_disagreement_score":0.04340052,"about_ca_system_score_codex":0.00078208937,"about_ca_system_score_gemma":0.0003759219,"threshold_uncertainty_score":0.08629584},"labels":[],"label_agreement":null},{"id":"W4247864861","doi":"10.1111/j.1600-0870.2007.00226.x","title":"How useful are teleconnection patterns for explaining variability in extratropical storminess?","year":2007,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Teleconnection; Extratropical cyclone; Climatology; North Atlantic oscillation; Northern Hemisphere; Oceanography; Environmental science; Geology; Geography; El Niño Southern Oscillation","score_opus":0.0133306094058559,"score_gpt":0.23716427024058975,"score_spread":0.22383366083473386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247864861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98114955,0.0014591427,0.01000438,0.0014500828,0.0000382304,0.000029952289,0.0007701361,0.00007770774,0.00502074],"genre_scores_gemma":[0.9974341,0.0004502813,0.0013891713,0.000059020756,0.000040001647,0.000011580011,0.00031337212,0.000021389726,0.0002811282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931085,0.0003245696,0.000054773165,0.00014593171,0.00006572754,0.000098034485],"domain_scores_gemma":[0.9887687,0.0070954105,0.0020760896,0.0010158798,0.00061733066,0.00042660593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024781534,0.0007918092,0.0003570969,0.0021176331,0.00046025854,0.0015342196,0.0005836135,0.0009062552,0.0031355734],"category_scores_gemma":[0.016143523,0.00030460343,0.00086715893,0.0028488014,0.00073737866,0.0031801292,0.00083552283,0.00070615555,0.0005984266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114870854,0.00005715193,0.9538673,0.000053967815,0.00035371547,0.00021823224,0.0003585157,0.008741197,0.0005296056,0.0021776613,0.00052164873,0.033006094],"study_design_scores_gemma":[0.00004882062,0.00013107294,0.9437988,0.00007990802,0.00024389276,0.00040862738,0.0008190134,0.041554168,0.00021214054,0.010644613,0.0020224557,0.00003661946],"about_ca_topic_score_codex":0.008020005,"about_ca_topic_score_gemma":0.008830111,"teacher_disagreement_score":0.008020005,"about_ca_system_score_codex":0.00048395904,"about_ca_system_score_gemma":0.0004362379,"threshold_uncertainty_score":0.015946686},"labels":[],"label_agreement":null},{"id":"W4248344697","doi":"10.1034/j.1600-0870.2003.201518.x","title":"Southern Ocean upwelling and eddies: sensitivity of the global overturning to the surface density range","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Upwelling; Equator; Geology; Eddy; Isopycnal; Ekman transport; Ocean general circulation model; Ocean current; Mixing (physics); Thermohaline circulation; Eddy diffusion; Climatology; Oceanography; Thermal diffusivity; Water mass; Circumpolar deep water; Latitude; North Atlantic Deep Water; Turbulence; Meteorology; Geodesy; Physics; Climate change; General Circulation Model","score_opus":0.0051003769109707366,"score_gpt":0.1879194632730779,"score_spread":0.18281908636210717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248344697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966401,0.000094263465,0.0019682003,0.00009900191,0.000008963986,0.000008464888,0.0002462054,0.000052967,0.0008819359],"genre_scores_gemma":[0.99905807,0.000077333476,0.00039356528,0.000012515413,0.0000031106242,0.0000040867058,0.00018907923,0.000011458859,0.00025084498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992585,0.000023313078,0.000004760085,0.0000145026115,0.000010990463,0.000020626348],"domain_scores_gemma":[0.99944526,0.00029048158,0.00009135223,0.000050476683,0.000049673312,0.000072705494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039420906,0.0005535893,0.00038084452,0.00025518762,0.00024281577,0.0006367872,0.00030145643,0.00051794865,0.00088398287],"category_scores_gemma":[0.0021896595,0.0003183587,0.0005178519,0.00029233392,0.00032648433,0.00060255424,0.00061834615,0.0004185221,0.00008870253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004400178,0.00010450945,0.10426733,0.00007855799,0.00020018996,0.00023726713,0.00007934443,0.863708,0.023701955,0.001807994,0.00034614585,0.005028661],"study_design_scores_gemma":[0.000079351135,0.00015376472,0.055544846,0.000008946869,0.000054997432,0.00006514522,0.000039910912,0.9387841,0.003753691,0.0011942454,0.00029446246,0.000026474263],"about_ca_topic_score_codex":0.01639954,"about_ca_topic_score_gemma":0.00739588,"teacher_disagreement_score":0.01639954,"about_ca_system_score_codex":0.00047637784,"about_ca_system_score_gemma":0.00023049003,"threshold_uncertainty_score":0.03260815},"labels":[],"label_agreement":null},{"id":"W4250940672","doi":"10.1034/j.1600-0870.2003.00015.x","title":"Influence of a step-like coastline on the basin scale vorticity budget of mid-latitude gyre models","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University; Compute Canada","funders":"","keywords":"Vorticity; Advection; Enstrophy; Viscous stress tensor; Potential vorticity; Geology; Ocean gyre; Vorticity equation; Discretization; Geostrophic wind; Boundary current; Cauchy stress tensor; Geophysics; Physics; Geometry; Ocean current; Mechanics; Vortex; Mathematics; Mathematical analysis; Classical mechanics; Climatology","score_opus":0.007515099815614217,"score_gpt":0.19743570341202157,"score_spread":0.18992060359640736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250940672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550605,0.00016436455,0.0020061308,0.0002671541,0.000023017637,0.000016780315,0.00022776537,0.000101578735,0.001687096],"genre_scores_gemma":[0.99859244,0.00008536501,0.0008347379,0.00004719936,0.000006925716,0.000011137843,0.00013599634,0.00003951624,0.00024670205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997564,0.00011137578,0.000019049081,0.00004206853,0.00002685078,0.000044245608],"domain_scores_gemma":[0.99861145,0.0007608494,0.0001627427,0.00013621023,0.0001616112,0.00016711252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086814765,0.00059249985,0.0005215349,0.00037355782,0.00049830973,0.0012746414,0.00082750653,0.0011383638,0.0011011788],"category_scores_gemma":[0.003717037,0.00044580342,0.00078768993,0.0002453814,0.0007792621,0.0007095281,0.0008716904,0.0006467138,0.00011944108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046283033,0.00017083342,0.044834338,0.00008239743,0.00018571773,0.0003411397,0.00006808634,0.9384176,0.009390343,0.0021148087,0.0005214785,0.0034104474],"study_design_scores_gemma":[0.00008999821,0.00010579521,0.007869518,0.000024064002,0.00005015378,0.000034028628,0.00005751004,0.9892425,0.0019324134,0.00036769587,0.00020491067,0.00002148149],"about_ca_topic_score_codex":0.0231369,"about_ca_topic_score_gemma":0.016402902,"teacher_disagreement_score":0.0231369,"about_ca_system_score_codex":0.000856857,"about_ca_system_score_gemma":0.0007762622,"threshold_uncertainty_score":0.046004474},"labels":[],"label_agreement":null},{"id":"W4253049081","doi":"10.1034/j.1600-0870.2003.00029.x","title":"Boundary and initial flow induced variability over Pacific North America in CCC-AGCM simulations","year":2003,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Middle latitudes; Climatology; Empirical orthogonal functions; Environmental science; Atmospheric circulation; Sea surface temperature; Atmospheric sciences; Flow (mathematics); El Niño Southern Oscillation; Pacific decadal oscillation; Zonal and meridional; Geology; Mechanics; Physics","score_opus":0.010393446933046094,"score_gpt":0.23940130535519988,"score_spread":0.2290078584221538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253049081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99144894,0.000105904255,0.0014627322,0.00019983704,0.000038505696,0.000038477392,0.0032275957,0.00026791566,0.0032099895],"genre_scores_gemma":[0.9934238,0.000069476206,0.0022052494,0.00007675096,0.000011796291,0.000078193494,0.0033888267,0.000058430385,0.00068746787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980885,0.000071263166,0.000008779076,0.000041373645,0.000028555207,0.00004111495],"domain_scores_gemma":[0.99925524,0.0003557896,0.00006530708,0.000050937855,0.00014018809,0.00013252125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088739005,0.0007701812,0.0005047108,0.00044310882,0.0006311117,0.00093877455,0.0014411797,0.0013564748,0.0023418108],"category_scores_gemma":[0.002043382,0.00042995255,0.00073463446,0.0008007937,0.00047669213,0.00053166243,0.00048070695,0.001039939,0.00019705965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023387396,0.00015614826,0.021818254,0.00005762425,0.00008854592,0.000118933254,0.000059250917,0.97116256,0.000836155,0.0009053886,0.0025357911,0.0020274639],"study_design_scores_gemma":[0.00018521212,0.00005870486,0.009176485,0.0000116050705,0.000031784177,0.000012848987,0.000041725874,0.9894405,0.0003066981,0.00021472466,0.0005028848,0.00001682288],"about_ca_topic_score_codex":0.16943794,"about_ca_topic_score_gemma":0.10769067,"teacher_disagreement_score":0.16943794,"about_ca_system_score_codex":0.0018755721,"about_ca_system_score_gemma":0.0018168489,"threshold_uncertainty_score":0.3369034},"labels":[],"label_agreement":null},{"id":"W4253622962","doi":"10.3402/tellusa.v53i5.12229","title":"Active and passive ocean regimes in a low-order climate model","year":2001,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intermittency; Chaotic; Attractor; Atmosphere (unit); Climate model; Climatology; Ocean dynamics; Physics; Geophysical fluid dynamics; Ocean current; Meteorology; Environmental science; Statistical physics; Atmospheric sciences; Climate change; Geology; Mathematics; Mathematical analysis; Computer science; Turbulence; Oceanography","score_opus":0.005028008459159237,"score_gpt":0.20116672854341627,"score_spread":0.19613872008425703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253622962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93562645,0.00026701952,0.04732651,0.0008414415,0.00004556844,0.000050778868,0.00062672026,0.00029180312,0.01492365],"genre_scores_gemma":[0.9935679,0.00011473998,0.002550985,0.000035918052,0.000021540936,0.000046375324,0.00019945217,0.000023916544,0.003439243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999846,0.00005685221,0.00000860475,0.00003280168,0.000025139823,0.000030626],"domain_scores_gemma":[0.99955064,0.00016240838,0.00009836129,0.00004275817,0.000058641184,0.00008725054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033742582,0.00049086276,0.0008671275,0.00039574775,0.0006389347,0.0014658852,0.0010920864,0.0011612496,0.0019629716],"category_scores_gemma":[0.0011482653,0.0003086928,0.0005565637,0.00035435494,0.0009110299,0.0015076057,0.000996999,0.00073353754,0.0002470644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013451539,0.00006990796,0.002498195,0.00004310081,0.00003749684,0.00016528029,0.00011800745,0.9692858,0.0026075197,0.023181198,0.00040446667,0.0014546267],"study_design_scores_gemma":[0.00004127679,0.000022419727,0.0005039042,0.0000025538907,0.000009553933,0.000010731546,0.000012315225,0.9955695,0.00010205266,0.0034420562,0.00027531525,0.000008242637],"about_ca_topic_score_codex":0.012736341,"about_ca_topic_score_gemma":0.0062454306,"teacher_disagreement_score":0.012736341,"about_ca_system_score_codex":0.0011226465,"about_ca_system_score_gemma":0.0007475274,"threshold_uncertainty_score":0.025324404},"labels":[],"label_agreement":null},{"id":"W4253842049","doi":"10.3402/tellusa.v67.27218","title":"Assimilation of ice and water observations from SAR imagery to improve estimates of sea ice concentration","year":2015,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Sea ice concentration; Synthetic aperture radar; Sea ice; Remote sensing; Sea ice thickness; Data assimilation; Special sensor microwave/imager; Geology; Thresholding; Binary number; Meteorology; Environmental science; Microwave; Climatology; Arctic ice pack; Computer science; Mathematics; Artificial intelligence; Image (mathematics); Geography","score_opus":0.015286859491361505,"score_gpt":0.2193848508313123,"score_spread":0.2040979913399508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253842049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6218579,0.0003614252,0.37437752,0.00011955831,0.00010444494,0.000045927492,0.0005050584,0.0009656229,0.0016624725],"genre_scores_gemma":[0.8656231,0.00011889769,0.13235685,0.00003333209,0.000023715556,0.000026677932,0.0010199434,0.00005952591,0.00073790725],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991703,0.000014506689,0.000007995632,0.000030105608,0.000021893524,0.000008460917],"domain_scores_gemma":[0.9997739,0.000054867414,0.00004479818,0.00004045897,0.000072877774,0.000013163584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002891256,0.00038683816,0.00029577743,0.0004355469,0.00012652621,0.00034916337,0.00025352812,0.00021347356,0.0003667259],"category_scores_gemma":[0.00089295965,0.00025129842,0.00027818742,0.00037144686,0.00013545748,0.0005021579,0.00033327908,0.00034884328,0.00015560474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004017839,0.00029269443,0.055350557,0.0002149479,0.0003639828,0.00016571226,0.00029416004,0.2821049,0.30656606,0.0019806633,0.0015103568,0.3507542],"study_design_scores_gemma":[0.000019791936,0.00007810011,0.027036458,0.000008736789,0.000043479915,0.000024538054,0.00003147511,0.94710207,0.023720756,0.0007693164,0.0011429465,0.000022279406],"about_ca_topic_score_codex":0.0041345335,"about_ca_topic_score_gemma":0.0060383854,"teacher_disagreement_score":0.0041345335,"about_ca_system_score_codex":0.0001266236,"about_ca_system_score_gemma":0.0002846433,"threshold_uncertainty_score":0.008220911},"labels":[],"label_agreement":null},{"id":"W4300099911","doi":"10.3402/tellusa.v17i3.9152","title":"Numerical studies of frontal motion in the atmosphere-I","year":2012,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Courant Institute of Mathematical Sciences, New York University; Division of Mathematical Sciences; York University","keywords":"Geostrophic wind; Front (military); Warm front; Frontogenesis; Cold front; Mechanics; Atmosphere (unit); Geology; Boundary layer; Meteorology; Physics; Atmospheric sciences","score_opus":0.010433354069881334,"score_gpt":0.23149798299543156,"score_spread":0.22106462892555023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300099911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9225152,0.000685673,0.059133492,0.00040128213,0.00008933668,0.00006069442,0.0003166075,0.00024063968,0.01655709],"genre_scores_gemma":[0.98521924,0.0001669428,0.01298291,0.000021149915,0.000014248597,0.000026438533,0.00016823692,0.000026292395,0.0013746144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998398,0.00004175913,0.000011809465,0.000021193093,0.000041458545,0.000043982982],"domain_scores_gemma":[0.9992478,0.00040107785,0.00010299805,0.000060394752,0.00012802504,0.00005972587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004744412,0.00030365642,0.00032876414,0.0005384132,0.0005990632,0.0006539412,0.00047968686,0.00068563735,0.001811398],"category_scores_gemma":[0.0026929202,0.00017538868,0.00031057734,0.0004042159,0.0006449939,0.00048603505,0.00043173129,0.00038073037,0.00016664436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002094323,0.00015698656,0.015868908,0.00014040306,0.000049638427,0.00053484214,0.0003380155,0.9404847,0.009986517,0.016054394,0.0008437366,0.015332365],"study_design_scores_gemma":[0.000012985221,0.000031709005,0.0011776041,0.000009678035,0.0000037959487,0.000030912084,0.00005987117,0.9967008,0.00087291293,0.0005663309,0.00052899454,0.000004462818],"about_ca_topic_score_codex":0.011162851,"about_ca_topic_score_gemma":0.005794887,"teacher_disagreement_score":0.011162851,"about_ca_system_score_codex":0.00078224257,"about_ca_system_score_gemma":0.00046275175,"threshold_uncertainty_score":0.022195756},"labels":[],"label_agreement":null}]}