{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":530,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":530,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"8ec81fbc78cc","filters":{"topic":"Precipitation Measurement and Analysis"}},"results":[{"id":"W2413554747","doi":"10.1175/bams-d-14-00283.1","title":"So, How Much of the Earth’s Surface Is Covered by Rain Gauges?","year":2016,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":731,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Hydrometeorology; Rain gauge; Precipitation; Environmental science; Snow; Meteorology; Gravimeter; Climatology; Geology; Geography","authors":[{"name":"Chris Kidd","is_ca":false},{"name":"Andreas Becker","is_ca":false},{"name":"George J. Huffman","is_ca":false},{"name":"C. Muller","is_ca":false},{"name":"Paul Joe","is_ca":true},{"name":"Gail Skofronick‐Jackson","is_ca":false},{"name":"Dalia Kirschbaum","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01487556436915609,"gpt":0.204012039636775,"spread":0.1891364752676189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002405053,0.0003755497,0.0004696522,0.001230528,0.0004147217,0.003055422,0.0006581041,0.0008119626,0.009089494],"category_scores_gemma":[0.01044953,0.0001910733,0.0002740345,0.003283601,0.0008856175,0.004214075,0.0007775342,0.001054331,0.003667209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007587337,"about_ca_system_score_gemma":0.0007350182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208528,"about_ca_topic_score_gemma":0.01490478,"domain_scores_codex":[0.9982837,0.0005858208,0.000173676,0.0003041843,0.0004180847,0.0002345451],"domain_scores_gemma":[0.994767,0.001219832,0.001072317,0.0003861983,0.002043722,0.000510936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002878712,0.00007254552,0.4257125,0.0009912351,0.0003323588,0.0002663049,0.0008864956,0.001977795,0.002575355,0.02140097,0.1843015,0.3611951],"study_design_scores_gemma":[0.00006656216,0.0000977507,0.5871314,0.001890603,0.000222013,0.0008489173,0.01097864,0.004683769,0.002280874,0.03093653,0.3607244,0.0001384807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4388474,0.08334052,0.05272389,0.2153005,0.008273276,0.0001655148,0.04670403,0.001266712,0.1533783],"genre_scores_gemma":[0.9438256,0.02105268,0.007745855,0.009848854,0.002768359,0.00008471247,0.006937445,0.000202422,0.007534031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01208528,"threshold_uncertainty_score":0.03040743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1522265489","doi":"10.1175/bams-d-14-00174.1","title":"Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities","year":2015,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":657,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quantitative precipitation estimation; Radar; Suite; Precipitation; Meteorology; Environmental science; Satellite; Numerical weather prediction; Computer science; Weather radar; Remote sensing; Geology; Geography","authors":[{"name":"Jian Zhang","is_ca":false},{"name":"Kenneth W. Howard","is_ca":false},{"name":"Carrie Langston","is_ca":false},{"name":"Brian Kaney","is_ca":false},{"name":"Youcun Qi","is_ca":false},{"name":"Lin Tang","is_ca":false},{"name":"Heather M. Grams","is_ca":false},{"name":"Yadong Wang","is_ca":false},{"name":"Stephen B. Cocks","is_ca":false},{"name":"Steven M. Martinaitis","is_ca":false},{"name":"Ami Arthur","is_ca":false},{"name":"Karen Cooper","is_ca":false},{"name":"Jeff W. Brogden","is_ca":false},{"name":"David Kitzmiller","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07750306661538607,"gpt":0.2985260489662824,"spread":0.2210229823508963,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002739003,0.0007776335,0.0004386507,0.001247471,0.000172577,0.001028098,0.0006403112,0.0003823238,0.001992176],"category_scores_gemma":[0.00268524,0.0004125074,0.0002871808,0.0007732636,0.0003446364,0.00184467,0.0007423182,0.0005976916,0.001089359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003603452,"about_ca_system_score_gemma":0.0003464146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744773,"about_ca_topic_score_gemma":0.0009507911,"domain_scores_codex":[0.9994418,0.0001100364,0.00003644393,0.0001211046,0.000248857,0.00004174876],"domain_scores_gemma":[0.9981905,0.000480095,0.00009288322,0.0003779784,0.0007823159,0.0000762521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001255606,0.0001855473,0.01783102,0.0006063881,0.0001737824,0.0001562243,0.0004694963,0.03216282,0.1433376,0.01154668,0.01123248,0.7810424],"study_design_scores_gemma":[0.0003118286,0.001065326,0.04888718,0.0002192718,0.0001624417,0.0007016979,0.0002543413,0.4465829,0.3497893,0.009018787,0.1427379,0.0002690443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1839182,0.00457148,0.7653632,0.0006920512,0.0001098411,0.0005285242,0.00391813,0.01857099,0.02232756],"genre_scores_gemma":[0.6931047,0.001186404,0.2984526,0.0001232712,0.0001177897,0.0001837817,0.002861098,0.0004824428,0.003487819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002739003,"threshold_uncertainty_score":0.01448536,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005813145","doi":"10.1016/j.rse.2020.111697","title":"Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets","year":2020,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":629,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Global Water Futures; National Natural Science Foundation of China","keywords":"Global Precipitation Measurement; Environmental science; Satellite; Precipitation; Snow; Scale (ratio); Meteorology; Climatology; Geography; Geology","authors":[{"name":"Guoqiang Tang","is_ca":true},{"name":"Martyn Clark","is_ca":true},{"name":"Simon Michael Papalexiou","is_ca":true},{"name":"Ziqiang Ma","is_ca":false},{"name":"Yang Hong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03225247623199527,"gpt":0.2495503031227362,"spread":0.217297826890741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006783764,0.0004566333,0.0006613517,0.001699274,0.00030233,0.001931278,0.0006349062,0.0008808404,0.001095166],"category_scores_gemma":[0.01069588,0.0003239268,0.001018669,0.005112706,0.0004145186,0.003250598,0.0009876287,0.0007390266,0.0004907385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326176,"about_ca_system_score_gemma":0.001469785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0355516,"about_ca_topic_score_gemma":0.05316158,"domain_scores_codex":[0.9983193,0.000376207,0.0002244404,0.0004927214,0.000354415,0.0002328707],"domain_scores_gemma":[0.9944554,0.001290085,0.001408286,0.0007130062,0.001969689,0.0001636316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005024096,0.00008322691,0.9136882,0.0005337025,0.001651705,0.0001782171,0.0004680392,0.002495019,0.002857487,0.0008133751,0.00557872,0.07114994],"study_design_scores_gemma":[0.0000121426,0.00005302588,0.9896164,0.00008896991,0.000233929,0.00005872364,0.0001921697,0.0007460642,0.000647486,0.00007566564,0.008262602,0.0000129234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461266,0.01418657,0.001568997,0.003568515,0.0002626112,0.00003768049,0.02888821,0.0001340514,0.005226756],"genre_scores_gemma":[0.9708528,0.005016914,0.00214815,0.0008591252,0.000208881,0.00002665881,0.01995265,0.0001026607,0.0008321734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0355516,"threshold_uncertainty_score":0.07068932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023073569","doi":"10.1029/2019ms001689","title":"Confronting the Challenge of Modeling Cloud and Precipitation Microphysics","year":2020,"lang":"en","type":"article","venue":"Journal of Advances in Modeling Earth Systems","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":612,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Horizon 2020; European Research Council; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Cloud computing; Cloud physics; Meteorology; Precipitation; Climate model; Computer science; Microscale chemistry; Environmental science; Population; Climate change; Geography; Mathematics; Geology","authors":[{"name":"Hugh Morrison","is_ca":false},{"name":"Marcus van Lier‐Walqui","is_ca":false},{"name":"Ann M. Fridlind","is_ca":false},{"name":"Wojciech W. Grabowski","is_ca":false},{"name":"Jerry Y. Harrington","is_ca":false},{"name":"Corinna Hoose","is_ca":false},{"name":"Alexei Korolev","is_ca":true},{"name":"Matthew R. Kumjian","is_ca":false},{"name":"Jason A. Milbrandt","is_ca":true},{"name":"Hanna Pawłowska","is_ca":false},{"name":"Derek J. Posselt","is_ca":false},{"name":"O. P. Prat","is_ca":false},{"name":"Karly J. Reimel","is_ca":false},{"name":"Shin‐ichiro Shima","is_ca":false},{"name":"Bastiaan van Diedenhoven","is_ca":false},{"name":"Lulin Xue","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03819095310188898,"gpt":0.2420342268497959,"spread":0.2038432737479069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447163,0.00058543,0.0008623473,0.000614957,0.0007974321,0.001622073,0.001830623,0.001498625,0.0004823046],"category_scores_gemma":[0.002885107,0.0005462234,0.001072236,0.0007664838,0.001683465,0.003017564,0.002020381,0.00280615,0.0002635713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008519032,"about_ca_system_score_gemma":0.002068921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009401068,"about_ca_topic_score_gemma":0.006417777,"domain_scores_codex":[0.9994854,0.0001839418,0.00002833355,0.0001101865,0.0001509906,0.00004111521],"domain_scores_gemma":[0.9985005,0.0009513379,0.0001761083,0.0001822344,0.0001226011,0.0000672586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001332898,0.00003856832,0.002904167,0.00009449829,0.00005564993,0.00006273847,0.000151939,0.7557132,0.002019418,0.2044929,0.001283588,0.03317009],"study_design_scores_gemma":[0.00000323048,0.00001902882,0.0004240515,0.00001269037,0.00001005023,0.00002665406,0.00003096546,0.9100883,0.0002960266,0.0854705,0.003603837,0.00001463468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01259271,0.0009895235,0.9823458,0.001681994,0.00008376141,0.00002226507,0.0001369738,0.0001539993,0.001992994],"genre_scores_gemma":[0.4950487,0.004972117,0.4950974,0.0004973966,0.0009055527,0.0002674404,0.0003775073,0.0002381651,0.002595714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009401068,"threshold_uncertainty_score":0.01869273,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019775760","doi":"10.1175/jas3535.1","title":"A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description","year":2005,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":582,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Moment (physics); Moment closure; Statistical physics; Context (archaeology); Closure (psychology); Physics; Meteorology; Classical mechanics; Geology; Turbulence","authors":[{"name":"Jason A. Milbrandt","is_ca":true},{"name":"M. K. Yau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02766970600309337,"gpt":0.219463132711734,"spread":0.1917934267086406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009265653,0.0005579449,0.0006294723,0.0005729702,0.0005189872,0.0009543498,0.002018878,0.0009871329,0.002140849],"category_scores_gemma":[0.001787828,0.0002906994,0.0008626177,0.0003262183,0.0005328296,0.001383841,0.0009668376,0.001256399,0.0004921793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050904,"about_ca_system_score_gemma":0.001312438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004083405,"about_ca_topic_score_gemma":0.002108998,"domain_scores_codex":[0.9996717,0.00005757924,0.00002649048,0.00003844782,0.0001618005,0.00004395747],"domain_scores_gemma":[0.9992672,0.0001789421,0.00007696357,0.0002119693,0.0002021441,0.00006285682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001099276,0.0001452619,0.002947577,0.00009904007,0.00003076193,0.0001777945,0.0001935497,0.7981277,0.02930517,0.1213714,0.002060006,0.04543187],"study_design_scores_gemma":[0.000005734541,0.0000154251,0.0001111269,0.000004542985,0.000001792118,0.00001496801,0.00000363243,0.9945574,0.001260184,0.002896632,0.001121526,0.000007133935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03231006,0.0001038322,0.9625222,0.0001564306,0.00005780678,0.0002177774,0.0002258087,0.0007844067,0.003621638],"genre_scores_gemma":[0.6274572,0.000142382,0.3656479,0.0001365065,0.00009024032,0.0006298886,0.0005309973,0.0004245678,0.004940297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004083405,"threshold_uncertainty_score":0.008119226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2477555870","doi":"10.5334/jors.119","title":"The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language","year":2016,"lang":"en","type":"article","venue":"Journal of Open Research Software","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":499,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Argonne National Laboratory; Biological and Environmental Research; Rheinische Friedrich-Wilhelms-Universität Bonn; Marshall Space Flight Center; Office of Science; Universität Stuttgart; U.S. Department of Energy; McGill University; University of Wyoming","keywords":"Python (programming language); Computer science; MIT License; Interfacing; Radar; Weather radar; Programming language; License; Operating system; Software; Computer hardware; Telecommunications","authors":[{"name":"Jonathan Helmus","is_ca":false},{"name":"Scott Collis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1582354633699748,"gpt":0.3594173750290672,"spread":0.2011819116590924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467848,0.001305093,0.001113416,0.001709532,0.0007504234,0.002510201,0.002799255,0.0006174463,0.0530057],"category_scores_gemma":[0.007323884,0.001126154,0.001387723,0.001872619,0.0005758739,0.002568536,0.003374614,0.002839293,0.04859068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003928879,"about_ca_system_score_gemma":0.002298976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002872283,"about_ca_topic_score_gemma":0.003627925,"domain_scores_codex":[0.9985506,0.0002386423,0.0001355778,0.0002381503,0.0006711633,0.0001659114],"domain_scores_gemma":[0.9981317,0.0005296627,0.0002275309,0.0004472304,0.0004564546,0.0002075212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002890705,0.00009085244,0.002612459,0.001607136,0.0002546907,0.0003251345,0.0004063477,0.009328841,0.0107446,0.01558198,0.7568808,0.2018782],"study_design_scores_gemma":[0.000155785,0.00005906558,0.004882705,0.0002626513,0.00008956173,0.0007208684,0.00007394106,0.07998287,0.01485055,0.03686586,0.8618049,0.0002512722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00295361,0.000543552,0.5758203,0.000518342,0.0004509588,0.0003159268,0.03084031,0.3579965,0.03056045],"genre_scores_gemma":[0.03689621,0.0009473203,0.6910736,0.001206711,0.0003316264,0.001237246,0.07463067,0.1574932,0.0361834],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0530057,"threshold_uncertainty_score":0.1773217,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096701604","doi":"10.1002/qj.375","title":"REAL—Ensemble radar precipitation estimation for hydrology in a mountainous region","year":2009,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":233,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Radar; Precipitation; Meteorology; Quantitative precipitation forecast; Weather radar; Environmental science; Ensemble forecasting; Flood forecasting; Surface runoff; Remote sensing; Computer science; Flood myth; Geology; Geography","authors":[{"name":"Urs Germann","is_ca":false},{"name":"Marc Berenguer","is_ca":true},{"name":"Daniel Sempere‐Torres","is_ca":false},{"name":"Massimiliano Zappa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02179393761533857,"gpt":0.2443583799540861,"spread":0.2225644423387475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000888341,0.0002536287,0.0003662947,0.000333335,0.0001388651,0.0003870889,0.0003767846,0.0002496233,0.000620781],"category_scores_gemma":[0.001700378,0.0001501065,0.0002304531,0.0003651149,0.000157756,0.0006586576,0.0003679259,0.0003742681,0.0001369026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574275,"about_ca_system_score_gemma":0.0002441364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398012,"about_ca_topic_score_gemma":0.003352674,"domain_scores_codex":[0.9997838,0.0001011175,0.000006686083,0.00004343829,0.00004473364,0.00002027804],"domain_scores_gemma":[0.999422,0.000243746,0.00009535803,0.0001254059,0.00008533194,0.00002833791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002814846,0.00007465387,0.00933635,0.00002214024,0.00006587647,0.00007900948,0.00007626595,0.9075242,0.01071133,0.001638256,0.0005291259,0.06966143],"study_design_scores_gemma":[0.000006468824,0.00001988157,0.002292498,7.778502e-7,0.000002482632,0.000008573731,0.000004450862,0.9953936,0.001693976,0.0004330611,0.0001406937,0.000003614135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6793973,0.0001320676,0.3177041,0.0001135721,0.0000134588,0.00002122088,0.0002764589,0.001339599,0.001002145],"genre_scores_gemma":[0.9653652,0.00002495735,0.03410296,0.000009989516,0.000009591025,0.000009200327,0.000248349,0.00002885101,0.0002009989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00398012,"threshold_uncertainty_score":0.007913947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2601151695","doi":"10.1175/bams-d-16-0182.1","title":"The Olympic Mountains Experiment (OLYMPEX)","year":2017,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":205,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Snow; Precipitation; Environmental science; Global Precipitation Measurement; Satellite; Meteorology; Climatology; Dropsonde; Peninsula; Geology; Geography","authors":[{"name":"Robert A. Houze","is_ca":false},{"name":"Lynn A. McMurdie","is_ca":false},{"name":"Walter A. Petersen","is_ca":false},{"name":"M. Schwaller","is_ca":false},{"name":"William Baccus","is_ca":false},{"name":"Jessica D. Lundquist","is_ca":false},{"name":"Clifford F. Mass","is_ca":false},{"name":"Bart Nijssen","is_ca":false},{"name":"Steven A. Rutledge","is_ca":false},{"name":"David Hudak","is_ca":true},{"name":"Simone Tanelli","is_ca":false},{"name":"Gerald G. Mace","is_ca":false},{"name":"Michael R. Poellot","is_ca":false},{"name":"Dennis P. Lettenmaier","is_ca":false},{"name":"Joseph P. Zagrodnik","is_ca":false},{"name":"Angela K. Rowe","is_ca":false},{"name":"Jennifer C. DeHart","is_ca":false},{"name":"Luke Madaus","is_ca":false},{"name":"Hannah C. Barnes","is_ca":false},{"name":"V. Chandrasekar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02390508888947828,"gpt":0.2509326899756226,"spread":0.2270276010861443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802182,0.0004874,0.00039662,0.0003252432,0.0009991189,0.0009033349,0.0005371914,0.000399531,0.004575432],"category_scores_gemma":[0.0008095047,0.0003063059,0.000221926,0.0003996765,0.0004957391,0.0004769928,0.0007514188,0.001017301,0.0008029772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006638545,"about_ca_system_score_gemma":0.0008291312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03309107,"about_ca_topic_score_gemma":0.08245624,"domain_scores_codex":[0.9994897,0.0002003782,0.00002467256,0.0001186189,0.0001074892,0.00005914025],"domain_scores_gemma":[0.9988075,0.0001504962,0.0001870315,0.0002687809,0.0002169008,0.0003691883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02071743,0.01467616,0.6858191,0.000228439,0.001237676,0.001000181,0.001300651,0.003427194,0.01627247,0.004382683,0.2247118,0.02622622],"study_design_scores_gemma":[0.001521197,0.001540578,0.9508593,0.00002598191,0.0001174431,0.00007700777,0.0005624091,0.001519541,0.001548163,0.0003435289,0.04185415,0.00003069883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583471,0.000116781,0.0007786503,0.0005719723,0.0002336051,0.0005310415,0.02201459,0.0001309934,0.01727518],"genre_scores_gemma":[0.9030344,0.0001912185,0.004065621,0.001060925,0.0003010829,0.002500767,0.06161263,0.0001211482,0.02711215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03309107,"threshold_uncertainty_score":0.06579691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2022349500","doi":"10.1016/j.rse.2015.02.024","title":"A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics","year":2015,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":195,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Geospatial-Intelligence Agency; Chinese Academy of Sciences; National Natural Science Foundation of China; National Aeronautics and Space Administration","keywords":"Downscaling; Precipitation; Normalized Difference Vegetation Index; Environmental science; Quantitative precipitation estimation; Satellite; Remote sensing; Algorithm; Climatology; Rain gauge; Vegetation (pathology); Meteorology; Computer science; Climate change; Geology; Geography","authors":[{"name":"Shiguang Xu","is_ca":false},{"name":"Chaoyang Wu","is_ca":false},{"name":"Li Wang","is_ca":false},{"name":"Alemu Gonsamo","is_ca":true},{"name":"Yan Shen","is_ca":false},{"name":"Zheng Niu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0328635121938099,"gpt":0.2187170694369136,"spread":0.1858535572431037,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004642429,0.000623402,0.001015217,0.0009768923,0.0004375784,0.0005596611,0.00115216,0.0005218439,0.002018719],"category_scores_gemma":[0.0008101885,0.000465978,0.000681946,0.001440867,0.0001556024,0.0009397424,0.0007209339,0.0006413605,0.001224481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141075,"about_ca_system_score_gemma":0.0009980677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005093036,"about_ca_topic_score_gemma":0.009239269,"domain_scores_codex":[0.9996538,0.0000267998,0.00002595748,0.0001078503,0.0001599351,0.00002568959],"domain_scores_gemma":[0.9996371,0.00003904906,0.00003033025,0.00004808787,0.0002238206,0.00002157803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002027167,0.0001610559,0.003758094,0.00009410227,0.0001804653,0.00006400616,0.00003530629,0.03728093,0.05105605,0.001338313,0.01029501,0.895534],"study_design_scores_gemma":[0.0000833955,0.00005708711,0.00591993,0.000006898361,0.00006822042,0.0001296771,0.00001296027,0.9723803,0.01111359,0.0007870352,0.009404592,0.00003631904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02111492,0.0003326578,0.9747867,0.00008198323,0.0002500153,0.00007998486,0.0003655179,0.002016943,0.0009712529],"genre_scores_gemma":[0.06859062,0.0002515471,0.9243734,0.0001176783,0.0001795312,0.0001626701,0.001945799,0.0002319295,0.004146769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005093036,"threshold_uncertainty_score":0.01012677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095274434","doi":"10.5194/amt-5-2661-2012","title":"Improved Micro Rain Radar snow measurements using Doppler spectra post-processing","year":2012,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":193,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Deutsches Zentrum für Luft- und Raumfahrt; Deutsche Forschungsgemeinschaft","keywords":"Radar; Remote sensing; Doppler radar; Snow; Continuous-wave radar; Environmental science; Doppler effect; Drizzle; Precipitation; Spurious relationship; Pulse-Doppler radar; Weather radar; Computer science; Meteorology; Radar imaging; Geology; Physics; Telecommunications","authors":[{"name":"Maximilian Maahn","is_ca":false},{"name":"Pavlos Kollias","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05400461618566246,"gpt":0.2528970271273483,"spread":0.1988924109416858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003818029,0.0004863553,0.0004525298,0.000758524,0.0001535631,0.0005153217,0.0004358117,0.0003051781,0.00126958],"category_scores_gemma":[0.0006722065,0.0002555392,0.0002651011,0.0006119632,0.000120482,0.0006827023,0.0004253829,0.000341358,0.0008212465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321034,"about_ca_system_score_gemma":0.0002560889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005328049,"about_ca_topic_score_gemma":0.001614855,"domain_scores_codex":[0.9996363,0.00007609706,0.00001575446,0.00008258934,0.0001628384,0.00002645843],"domain_scores_gemma":[0.9995901,0.0001296422,0.00006143524,0.00005858939,0.0001420064,0.00001819875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005513429,0.0001137267,0.01126393,0.0002936984,0.00005510203,0.00009566513,0.0001471368,0.009698158,0.6272809,0.0006195268,0.001232383,0.3486485],"study_design_scores_gemma":[0.0001698656,0.0005860109,0.05292265,0.00004952648,0.00013068,0.0005182044,0.00008343535,0.4893833,0.4479886,0.0007684756,0.007308077,0.00009105796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3976838,0.0008845056,0.5954632,0.0001085607,0.000161856,0.00008340238,0.0004827482,0.00264249,0.002489485],"genre_scores_gemma":[0.5985135,0.0003082689,0.3989452,0.00004232136,0.00008241498,0.00005264061,0.0004883813,0.0001274918,0.00143972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00126958,"threshold_uncertainty_score":0.004247189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077861728","doi":"10.1016/j.advwatres.2011.05.007","title":"Evaluation of precipitation products over complex mountainous terrain: A water resources perspective","year":2011,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":165,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Natural Environment Research Council; Universidad de Concepción","keywords":"Precipitation; Environmental science; Terrain; Quantitative precipitation estimation; Hindcast; Water resources; Climatology; Drainage basin; Structural basin; Water balance; Quantitative precipitation forecast; Satellite; Meteorology; Geology; Geography","authors":[{"name":"Eliot M. Ward","is_ca":false},{"name":"Wouter Buytaert","is_ca":false},{"name":"Louisa Peaver","is_ca":false},{"name":"H. S. Wheater","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05367018989973621,"gpt":0.2755091984003926,"spread":0.2218390085006564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003476121,0.0006790778,0.0009297644,0.001581624,0.0003668685,0.002412446,0.0008188382,0.0005365289,0.001096646],"category_scores_gemma":[0.008450735,0.0002596098,0.0005372951,0.003371278,0.0004786843,0.00212727,0.0005719261,0.0003764067,0.0001766558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007372473,"about_ca_system_score_gemma":0.001217951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971131,"about_ca_topic_score_gemma":0.01990516,"domain_scores_codex":[0.9987856,0.0004985509,0.00009424025,0.0001161614,0.0004414387,0.00006395128],"domain_scores_gemma":[0.9959667,0.002052971,0.0004150723,0.0003225042,0.00111271,0.0001300339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001101611,0.0003683363,0.1831873,0.0003207624,0.0005267691,0.000401788,0.0002126254,0.5888527,0.02060891,0.005050181,0.002227657,0.1971415],"study_design_scores_gemma":[0.0000807662,0.000396126,0.08383435,0.00002843056,0.0001065061,0.0001338452,0.0003602167,0.8940313,0.01575482,0.002971217,0.002252515,0.00004987911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790695,0.000685363,0.1084692,0.0006622581,0.00002890862,0.0002085251,0.00419672,0.000809322,0.005870134],"genre_scores_gemma":[0.9375971,0.0004115961,0.05906437,0.00003771245,0.0000304912,0.00004065732,0.002031507,0.0001027226,0.000683827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01971131,"threshold_uncertainty_score":0.03919315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W33954318","doi":"10.1007/978-1-4020-5835-6_48","title":"International Global Precipitation Measurement (GPM) Program and Mission: An Overview","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":163,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Global Precipitation Measurement; Precipitation; Environmental science; Meteorology; Aeronautics; Climatology; Remote sensing; Geology; Geography; Engineering","authors":[{"name":"Eric A. Smith","is_ca":false},{"name":"Ghassem Asrar","is_ca":false},{"name":"Yoji Furuhama","is_ca":false},{"name":"A. Ginati","is_ca":false},{"name":"Alberto Mugnai","is_ca":false},{"name":"Kenji Nakamura","is_ca":false},{"name":"Robert F. Adler","is_ca":false},{"name":"Ming‐Dah Chou","is_ca":false},{"name":"Michel Desbois","is_ca":false},{"name":"John F. Durning","is_ca":false},{"name":"Jared Entin","is_ca":false},{"name":"Franco Einaudi","is_ca":false},{"name":"Ralph Ferraro","is_ca":false},{"name":"Rodolfo Guzzi","is_ca":false},{"name":"Paul R. Houser","is_ca":false},{"name":"Toshio Iguchi","is_ca":false},{"name":"Paul Joe","is_ca":true},{"name":"Ramesh K. Kakar","is_ca":false},{"name":"Jack A. Kaye","is_ca":false},{"name":"Masahiro Kojima","is_ca":false},{"name":"Christian D. Kummerow","is_ca":false},{"name":"K. S. Kuo","is_ca":false},{"name":"Dennis P. Lettenmaier","is_ca":false},{"name":"Vincenzo Levizzani","is_ca":false},{"name":"Naimeng Lu","is_ca":false},{"name":"Amita Mehta","is_ca":false},{"name":"Carlos A. Morales","is_ca":false},{"name":"P. Morel","is_ca":false},{"name":"Tetsuo Nakazawa","is_ca":false},{"name":"Steven P. Neeck","is_ca":false},{"name":"Ken‐ichi Okamoto","is_ca":false},{"name":"Riko Oki","is_ca":false},{"name":"G. S. Raju","is_ca":false},{"name":"J. Marshall Shepherd","is_ca":false},{"name":"Joanne Simpson","is_ca":false},{"name":"Byung Ju Sohn","is_ca":false},{"name":"Eric F. Stocker","is_ca":false},{"name":"Wei-Kuo Tao","is_ca":false},{"name":"J. Testud","is_ca":false},{"name":"Gregory J. Tripoli","is_ca":false},{"name":"Eric F. Wood","is_ca":false},{"name":"Song Yang","is_ca":false},{"name":"Wenjian Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1648682612228083,"gpt":0.3250689091053535,"spread":0.1602006478825453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007678596,0.001201579,0.0005859316,0.003297278,0.0003375389,0.001518684,0.0009460453,0.0009361619,0.008394259],"category_scores_gemma":[0.0007256898,0.0006387444,0.0004381517,0.006140108,0.0002457492,0.002862401,0.0008143104,0.001112905,0.01144604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008656663,"about_ca_system_score_gemma":0.00190576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086476,"about_ca_topic_score_gemma":0.00953483,"domain_scores_codex":[0.9996614,0.00003353713,0.00002500676,0.00006038012,0.0001962299,0.0000233775],"domain_scores_gemma":[0.9997515,0.00005353427,0.00001522978,0.00001919704,0.0001397069,0.00002078963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001488255,0.0000595703,0.0004505659,0.000765066,0.00001426454,0.00004319233,0.00005270238,0.001837612,0.001377002,0.01311307,0.2499882,0.7322838],"study_design_scores_gemma":[0.000002055944,0.00001360013,0.0007654568,0.0001767011,0.000007851927,0.0001252149,0.0000184068,0.0009054646,0.0005096897,0.004634133,0.992831,0.00001043793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002909697,0.3936866,0.2738733,0.007616903,0.005435136,0.0007378867,0.01264872,0.005639748,0.2974519],"genre_scores_gemma":[0.01056752,0.4878946,0.2303105,0.003523688,0.002875163,0.0005844483,0.02131045,0.002390302,0.2405433],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008394259,"threshold_uncertainty_score":0.02808166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132366275","doi":"10.1175/jam2183.1","title":"Variability of Drop Size Distributions: Time-Scale Dependence of the Variability and Its Effects on Rain Estimation","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":158,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"","keywords":"Disdrometer; Environmental science; Storm; Climatology; Radar; Scale (ratio); Meteorology; Atmospheric sciences; Statistics; Mathematics; Rain gauge; Geology; Precipitation; Physics; Computer science","authors":[{"name":"GyuWon Lee","is_ca":true},{"name":"Isztar Zawadzki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007275312588322849,"gpt":0.2146831103271094,"spread":0.2074077977387865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086375,0.0002251554,0.000208551,0.001112826,0.0001618599,0.0005626684,0.0003126367,0.0001660407,0.0008208288],"category_scores_gemma":[0.003972423,0.0001205119,0.0003205372,0.0009355088,0.0002976845,0.0002113567,0.0002283799,0.0001611957,0.0001519585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626944,"about_ca_system_score_gemma":0.0003892946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2163478,"about_ca_topic_score_gemma":0.1886227,"domain_scores_codex":[0.999468,0.00009714688,0.00002556024,0.0001296248,0.0002108903,0.00006867191],"domain_scores_gemma":[0.9966378,0.00173545,0.0005087432,0.0003288711,0.0006834834,0.0001056447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009517384,0.00002082899,0.9523651,0.00005031713,0.0001643028,0.0001266762,0.0001571688,0.01320161,0.01205424,0.0001295941,0.000445193,0.02118985],"study_design_scores_gemma":[8.329019e-7,0.000009265548,0.9935126,0.000001764321,0.00000417287,0.00001770117,0.00001765965,0.005613543,0.0006020406,0.00001136244,0.0002056357,0.000003503302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915875,0.0002122072,0.00442536,0.00003196702,0.00000445989,0.00002476948,0.002425959,0.0001160569,0.001171719],"genre_scores_gemma":[0.9982968,0.00003586448,0.0004574086,0.00000457293,0.000003154746,0.000005192697,0.0009844868,0.0000130701,0.0001995041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2163478,"threshold_uncertainty_score":0.4301769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2734606400","doi":"10.5194/hess-21-3525-2017","title":"Analysis of single-Alter-shielded and unshielded measurements of mixed and solid precipitation from WMO-SPICE","year":2017,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":154,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; Ministry of Land, Infrastructure and Transport","keywords":"Precipitation; Gauge (firearms); Shielded cable; Environmental science; Spice; Meteorology; Materials science; Physics; Computer science; Electrical engineering; Telecommunications; Engineering","authors":[{"name":"John Kochendorfer","is_ca":false},{"name":"Rodica Nitu","is_ca":true},{"name":"Mareile Wolff","is_ca":false},{"name":"Éva Mekis","is_ca":true},{"name":"Roy Rasmussen","is_ca":false},{"name":"Bruce L. Baker","is_ca":false},{"name":"Michael E. Earle","is_ca":true},{"name":"Audrey Reverdin","is_ca":false},{"name":"Kai Chi Wong","is_ca":true},{"name":"Craig D. Smith","is_ca":true},{"name":"Daqing Yang","is_ca":true},{"name":"Yves‐Alain Roulet","is_ca":false},{"name":"Samuel Buisán","is_ca":false},{"name":"Timo Laine","is_ca":false},{"name":"GyuWon Lee","is_ca":false},{"name":"Jose Luis C. Aceituno","is_ca":false},{"name":"Javier Alastrué","is_ca":false},{"name":"Ketil Isaksen","is_ca":false},{"name":"Tilden P. Meyers","is_ca":false},{"name":"Ragnar Brækkan","is_ca":false},{"name":"Scott Landolt","is_ca":false},{"name":"Al Jachcik","is_ca":false},{"name":"Antti Poikonen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06548468526031885,"gpt":0.2635729529968045,"spread":0.1980882677364856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001792965,0.0005328615,0.000639957,0.001037118,0.0003656777,0.0004707622,0.0008839332,0.0004609023,0.0004319874],"category_scores_gemma":[0.003395366,0.0003676907,0.0005460139,0.001702835,0.0003212196,0.0005592819,0.0006764122,0.0004641737,0.0002026727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043308,"about_ca_system_score_gemma":0.0003897036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687406,"about_ca_topic_score_gemma":0.03828029,"domain_scores_codex":[0.9989887,0.0001227956,0.00005072709,0.0002018803,0.0005365025,0.00009937111],"domain_scores_gemma":[0.9980111,0.0003795086,0.0003119273,0.0003837304,0.0007920175,0.0001217545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001104313,0.0002490243,0.8395564,0.0001947874,0.0009672513,0.0005165117,0.0005836107,0.02144087,0.08773106,0.0003538838,0.002233704,0.0450686],"study_design_scores_gemma":[0.00005581979,0.00007895407,0.9574524,0.000009260189,0.00008131442,0.00007564404,0.00007816181,0.02662631,0.013704,0.00007329609,0.001736084,0.00002869654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925497,0.00004488206,0.004268546,0.00002161361,0.00002143086,0.0000247406,0.002018891,0.0001194603,0.0009307646],"genre_scores_gemma":[0.989389,0.00002859242,0.005205339,0.00003685578,0.00001723407,0.00005499986,0.004906596,0.00006490315,0.0002964239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687406,"threshold_uncertainty_score":0.03355169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2460809943","doi":"10.1175/amsmonographs-d-15-0037.1","title":"Development and Applications of ARM Millimeter-Wavelength Cloud Radars","year":2016,"lang":"en","type":"article","venue":"Meteorological Monographs","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Meteorology; Environmental science; Millimeter; Atmospheric physics; Radar; Telecommunications; Atmosphere (unit); Geography; Engineering; Physics; Astronomy","authors":[{"name":"Pavlos Kollias","is_ca":true},{"name":"Eugene E. Clothiaux","is_ca":false},{"name":"Thomas P. Ackerman","is_ca":false},{"name":"Bruce Albrecht","is_ca":false},{"name":"Kevin B. Widener","is_ca":false},{"name":"K. P. Moran","is_ca":false},{"name":"Edward Luke","is_ca":false},{"name":"Karen Johnson","is_ca":false},{"name":"Nitin Bharadwaj","is_ca":false},{"name":"James B. Mead","is_ca":false},{"name":"Mark A. Miller","is_ca":false},{"name":"Johannes Verlinde","is_ca":false},{"name":"Roger Marchand","is_ca":false},{"name":"Gerald G. Mace","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03033993969283791,"gpt":0.2208776597731981,"spread":0.1905377200803602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891575,0.0004296995,0.0002984739,0.001191238,0.0002022166,0.001027149,0.001039022,0.000597098,0.002308117],"category_scores_gemma":[0.001928562,0.0002543719,0.0003421589,0.001139038,0.0001477742,0.0007946551,0.0008581333,0.0007927839,0.001319206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004653736,"about_ca_system_score_gemma":0.0004428056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001640081,"about_ca_topic_score_gemma":0.001870957,"domain_scores_codex":[0.9991518,0.0001597869,0.00003225404,0.0001785372,0.0003588136,0.0001186624],"domain_scores_gemma":[0.9986904,0.0002100503,0.0001228745,0.000207652,0.000669465,0.0000995423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002269635,0.0001405247,0.01883573,0.0002576608,0.00005922807,0.0001139061,0.0001880257,0.01284418,0.06362811,0.01523434,0.007299977,0.8811714],"study_design_scores_gemma":[0.000176082,0.001449509,0.05834209,0.0004544969,0.0002495204,0.001145015,0.0003547015,0.2200342,0.1083279,0.01460726,0.5946638,0.0001953419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1363332,0.01320913,0.7328049,0.002272274,0.001010459,0.0004996005,0.002928295,0.004625874,0.1063163],"genre_scores_gemma":[0.3839272,0.004504371,0.5924087,0.0007106813,0.0005637677,0.0001954332,0.002297284,0.0001495884,0.01524289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002308117,"threshold_uncertainty_score":0.01000369,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2580791415","doi":"10.1175/jhm-d-16-0187.1","title":"Evaluation of Integrated Multisatellite Retrievals for GPM (IMERG) over Southern Canada against Ground Precipitation Observations: A Preliminary Assessment","year":2017,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":141,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Centrum fÖr Personcentrerad Vård","keywords":"Hydrometeorology; Environmental science; Global Precipitation Measurement; Precipitation; Climatology; Meteorology; Geography; Geology","authors":[{"name":"Zilefac Elvis Asong","is_ca":true},{"name":"Saman Razavi","is_ca":true},{"name":"H. S. Wheater","is_ca":true},{"name":"Jefferson S. Wong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07601916754362864,"gpt":0.3079233442144686,"spread":0.23190417667084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212525,0.0008224294,0.0003757614,0.001003499,0.0007135906,0.001192876,0.0009516947,0.0003763999,0.0007550429],"category_scores_gemma":[0.001878631,0.0002178587,0.000369485,0.001680077,0.0003204849,0.0005468928,0.0005349939,0.0003342203,0.0001943973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003677964,"about_ca_system_score_gemma":0.004430944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8971464,"about_ca_topic_score_gemma":0.918328,"domain_scores_codex":[0.9993254,0.00006276824,0.00002662193,0.0001320694,0.00031456,0.0001386131],"domain_scores_gemma":[0.9987584,0.00009376239,0.0001011898,0.0001070263,0.00084419,0.00009549323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001158947,0.0005104162,0.7145076,0.0002811835,0.0007276233,0.0004892669,0.000557275,0.1110706,0.03771942,0.0006501463,0.006216464,0.1261111],"study_design_scores_gemma":[0.000124538,0.0001668298,0.723414,0.0000511027,0.0001565173,0.00007825685,0.0005272875,0.2591022,0.01187533,0.00009479723,0.004342802,0.00006639394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890609,0.000330253,0.002899003,0.0001067172,0.00002181881,0.00006376593,0.004712267,0.0004911454,0.002314113],"genre_scores_gemma":[0.9861673,0.000120164,0.005774172,0.00004533416,0.000009847568,0.00001772604,0.007068423,0.00004997947,0.0007470022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028536,"threshold_uncertainty_score":0.2069186,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1882439680","doi":"10.1175/jhm-d-14-0191.1","title":"Performance Evaluation of the Canadian Precipitation Analysis (CaPA)","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Environmental science; Meteorology; Quantitative precipitation estimation; Numerical weather prediction; Climatology; Quantitative precipitation forecast; Radar; National weather service; Satellite; Computer science; Geography; Geology","authors":[{"name":"Franck Lespinas","is_ca":false},{"name":"Vincent Fortin","is_ca":false},{"name":"Guy Roy","is_ca":false},{"name":"Peter Rasmussen","is_ca":true},{"name":"Tricia Stadnyk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0607525631418683,"gpt":0.2602682118734719,"spread":0.1995156487316036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006495623,0.001337003,0.0006521384,0.003073371,0.002611754,0.002502426,0.002393504,0.0004603917,0.004072377],"category_scores_gemma":[0.0146388,0.0003845836,0.0006063218,0.004733873,0.0005497838,0.0008843674,0.001525956,0.0004732204,0.001041409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01356487,"about_ca_system_score_gemma":0.02080071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.939509,"about_ca_topic_score_gemma":0.904238,"domain_scores_codex":[0.9953032,0.0008872993,0.0001854993,0.0007673566,0.002486694,0.0003701331],"domain_scores_gemma":[0.9864262,0.001439642,0.000429065,0.0006128296,0.01033915,0.0007529808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005118507,0.0006571144,0.1696278,0.0008851375,0.001060206,0.0002489351,0.0004723338,0.2041012,0.01589446,0.007931023,0.09435881,0.4996445],"study_design_scores_gemma":[0.0006156615,0.0004183599,0.1442966,0.00009296428,0.0003016046,0.0001291701,0.0004931848,0.7979142,0.01353041,0.001127001,0.04084953,0.0002312016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7555537,0.003352581,0.08692633,0.002597969,0.0007054798,0.001603552,0.05306249,0.03020706,0.06599074],"genre_scores_gemma":[0.9036859,0.0005348384,0.06718941,0.0003274845,0.00007679412,0.0002465259,0.02202981,0.0006164332,0.005292762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06049103,"threshold_uncertainty_score":0.1216945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984694326","doi":"10.1175/bams-d-13-00262.1","title":"Global Precipitation Measurement Cold Season Precipitation Experiment (GCPEX): For Measurement’s Sake, Let It Snow","year":2014,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada; University of Manitoba; McGill University; Environment and Climate Change Canada","funders":"","keywords":"Snow; Environmental science; Precipitation; Global Precipitation Measurement; Snowpack; Context (archaeology); Climatology; Meteorology; Radar; Satellite; Atmospheric sciences; Geology; Geography; Computer science","authors":[{"name":"Gail Skofronick‐Jackson","is_ca":false},{"name":"David Hudak","is_ca":true},{"name":"Walter A. Petersen","is_ca":false},{"name":"Stephen W. Nesbitt","is_ca":false},{"name":"V. Chandrasekar","is_ca":false},{"name":"Stephen L. Durden","is_ca":false},{"name":"K. J. Gleicher","is_ca":false},{"name":"Gwo‐Jong Huang","is_ca":false},{"name":"Paul Joe","is_ca":true},{"name":"Pavlos Kollias","is_ca":true},{"name":"Kimberly A. Reed","is_ca":false},{"name":"M. Schwaller","is_ca":false},{"name":"Ronald E. Stewart","is_ca":true},{"name":"Simone Tanelli","is_ca":false},{"name":"Ali Tokay","is_ca":false},{"name":"James R. Wang","is_ca":false},{"name":"Mengistu Wolde","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04052970993595976,"gpt":0.2497428014036273,"spread":0.2092130914676676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006395433,0.00029231,0.000238713,0.0002251498,0.0006158363,0.0005561535,0.0003859337,0.000257232,0.0008462931],"category_scores_gemma":[0.0006142553,0.0001090567,0.0001243141,0.0009012016,0.0005771327,0.0003665875,0.0003184993,0.0005001837,0.0003241898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483053,"about_ca_system_score_gemma":0.00207973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.267004,"about_ca_topic_score_gemma":0.3990684,"domain_scores_codex":[0.9997326,0.00005896824,0.00001089841,0.00005351518,0.0001160405,0.00002800942],"domain_scores_gemma":[0.9993561,0.0000390703,0.00006205923,0.0002457575,0.0002143292,0.0000826489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003907165,0.001275113,0.6301373,0.0002231434,0.0003509772,0.0003101167,0.0004686684,0.009677107,0.04320263,0.005349258,0.2294968,0.07560182],"study_design_scores_gemma":[0.0004147933,0.000284091,0.8955774,0.00001775979,0.00004830272,0.00004411867,0.0001239269,0.003519233,0.008915235,0.0004369245,0.09059414,0.00002419174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.754692,0.0004194706,0.009194533,0.002753694,0.0003534069,0.001241921,0.2049472,0.0008755722,0.02552223],"genre_scores_gemma":[0.7787031,0.0004260465,0.02604766,0.0009594606,0.0001433867,0.000987654,0.1798556,0.0002541879,0.01262291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.267004,"threshold_uncertainty_score":0.5308998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1111091419","doi":"10.1016/j.jhydrol.2015.08.003","title":"Assimilation of radar quantitative precipitation estimations in the Canadian Precipitation Analysis (CaPA)","year":2015,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"European Commission","keywords":"Quantitative precipitation estimation; Environmental science; Radar; Meteorology; Precipitation; Quantitative precipitation forecast; Weather radar; Global Precipitation Measurement; Climatology; Computer science; Geography; Telecommunications; Geology","authors":[{"name":"Vincent Fortin","is_ca":true},{"name":"Guy Roy","is_ca":true},{"name":"Norman Donaldson","is_ca":true},{"name":"A. Mahidjiba","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0659194257920925,"gpt":0.2901420700190869,"spread":0.2242226442269944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148567,0.001044092,0.0006038026,0.001663969,0.001257696,0.001479723,0.001497112,0.000546989,0.002267248],"category_scores_gemma":[0.003404539,0.0004941567,0.0006683949,0.002823691,0.000335432,0.0009093047,0.0007209517,0.000950883,0.00110401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005949236,"about_ca_system_score_gemma":0.01587492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9481249,"about_ca_topic_score_gemma":0.9605212,"domain_scores_codex":[0.9992193,0.00007261623,0.00003938727,0.0001935183,0.0003431671,0.0001319486],"domain_scores_gemma":[0.9977008,0.00009341039,0.0001034214,0.000180477,0.001817656,0.0001042433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000919703,0.0006515607,0.1392813,0.0005425677,0.000864052,0.0001657051,0.0004223294,0.3803556,0.03949416,0.004921084,0.08761308,0.3447689],"study_design_scores_gemma":[0.0002682676,0.00005726507,0.1977595,0.00007505002,0.0002149841,0.00004951674,0.0001484963,0.7625328,0.01132394,0.0008571027,0.02651195,0.0002010764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7792447,0.002308738,0.07954702,0.00149202,0.001161866,0.0005124427,0.1035064,0.009036585,0.02319019],"genre_scores_gemma":[0.8960456,0.0006055019,0.06136112,0.000204773,0.00009291559,0.0001492082,0.03644347,0.0004393067,0.004658049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05187511,"threshold_uncertainty_score":0.1043612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4239091324","doi":"10.5194/essd-12-1525-2020","title":"AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"State Key Laboratory of Remote Sensing Science; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Environmental science; Precipitation; Global Precipitation Measurement; Climatology; Satellite; Scale (ratio); Calibration; Meteorology; Remote sensing; Geography; Geology; Statistics; Mathematics; Cartography","authors":[{"name":"Ziqiang Ma","is_ca":false},{"name":"Jintao Xu","is_ca":false},{"name":"Siyu Zhu","is_ca":false},{"name":"Jun Yang","is_ca":false},{"name":"Guoqiang Tang","is_ca":true},{"name":"Yuanjian Yang","is_ca":false},{"name":"Zhou Shi","is_ca":false},{"name":"Yang Hong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06222603384577385,"gpt":0.2680277605387067,"spread":0.2058017266929329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000952224,0.0005952927,0.0003996024,0.001131717,0.0002397529,0.0005419326,0.001058126,0.0003834869,0.001582954],"category_scores_gemma":[0.001523004,0.0002365157,0.0006138374,0.001901076,0.0001920725,0.0007564235,0.0007508715,0.0007802626,0.0009646795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000367066,"about_ca_system_score_gemma":0.001190364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809775,"about_ca_topic_score_gemma":0.02114667,"domain_scores_codex":[0.9995925,0.00006506512,0.00006944401,0.0001275962,0.0001072195,0.000038179],"domain_scores_gemma":[0.9991741,0.00003772035,0.00013727,0.0002838607,0.000312047,0.00005502854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001331032,0.0009542408,0.3244298,0.001509442,0.001803215,0.0005402823,0.0007924068,0.1495187,0.04038158,0.005078477,0.2321752,0.2414856],"study_design_scores_gemma":[0.0005532185,0.0001640787,0.5655569,0.0001856001,0.0002946994,0.0002686215,0.0003269692,0.219356,0.02739924,0.00152902,0.184149,0.0002166597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3770221,0.0006416484,0.07602592,0.0006131121,0.0004536131,0.0005811405,0.5273851,0.006991395,0.0102861],"genre_scores_gemma":[0.3346667,0.0002820212,0.08878704,0.0002123729,0.0001202411,0.000636637,0.5724876,0.0006196093,0.00218778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01809775,"threshold_uncertainty_score":0.03598481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164394722","doi":"10.1002/2014jd022079","title":"How does the spaceborne radar blind zone affect derived surface snowfall statistics in polar regions?","year":2014,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Goddard Space Flight Center; Vlaamse regering; Rheinische Friedrich-Wilhelms-Universität Bonn; Fonds Wetenschappelijk Onderzoek; Deutscher Akademischer Austauschdienst; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Snow; Precipitation; Environmental science; Radar; Satellite; Polar; Climatology; Meteorology; Geology; Geography; Computer science","authors":[{"name":"Maximilian Maahn","is_ca":false},{"name":"Clara Burgard","is_ca":false},{"name":"Susanne Crewell","is_ca":false},{"name":"Irina Gorodetskaya","is_ca":false},{"name":"Stefan Kneifel","is_ca":true},{"name":"Stef Lhermitte","is_ca":false},{"name":"Kristof Van Tricht","is_ca":false},{"name":"Nicole Van Lipzig","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04203288616486529,"gpt":0.2966258908233793,"spread":0.254593004658514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001996393,0.0002560772,0.0002510441,0.0006368282,0.0002328673,0.0009027597,0.0002089719,0.0003163048,0.0005004482],"category_scores_gemma":[0.005567905,0.0001499093,0.0003158995,0.0007007055,0.0004029091,0.000603802,0.0003513155,0.0001808359,0.0001737044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139937,"about_ca_system_score_gemma":0.0002551246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01520489,"about_ca_topic_score_gemma":0.01262724,"domain_scores_codex":[0.9991973,0.0003917473,0.00005163862,0.0001090815,0.0001504778,0.00009977069],"domain_scores_gemma":[0.9951882,0.002941858,0.0008661252,0.0002729663,0.0005775523,0.0001532489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006559235,0.0000384197,0.9507219,0.00006494311,0.0002182923,0.000216509,0.0002087466,0.02099247,0.0114122,0.0001223208,0.0003904771,0.01495788],"study_design_scores_gemma":[0.000007997472,0.00006024021,0.9769042,0.00001288161,0.00004377209,0.00006947962,0.0002744015,0.0189641,0.003091416,0.0000942616,0.0004635464,0.00001377121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979028,0.0001815551,0.001049386,0.00005256276,0.00001256852,0.000004794136,0.0003614855,0.00002570767,0.0004092505],"genre_scores_gemma":[0.999247,0.00006194851,0.0002914272,0.00001470576,0.000009421291,0.000001788835,0.000287703,0.00001140361,0.00007474633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01520489,"threshold_uncertainty_score":0.03023279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3084274556","doi":"10.1007/s11263-020-01366-3","title":"Rain Rendering for Evaluating and Improving Robustness to Bad Weather","year":2020,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Rendering (computer graphics); Robustness (evolution); Global illumination; Object detection; Synthetic data; Object based","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04708621936685208,"gpt":0.3068659415989364,"spread":0.2597797222320843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188449,0.0009142134,0.000923367,0.001495155,0.0003512407,0.001495064,0.0009314762,0.0008701099,0.003283754],"category_scores_gemma":[0.005921549,0.0004286599,0.0008347757,0.0006522586,0.0004047899,0.0007419997,0.0008537458,0.0008998459,0.0006811325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518533,"about_ca_system_score_gemma":0.0006090312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004726545,"about_ca_topic_score_gemma":0.004834262,"domain_scores_codex":[0.9993764,0.0001157229,0.00003750013,0.00009958968,0.0002717231,0.00009902618],"domain_scores_gemma":[0.998237,0.0007038013,0.0001010241,0.0003693324,0.0004607494,0.0001280913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002599752,0.0004266556,0.008242595,0.0004210492,0.0004858231,0.0003218925,0.0002283971,0.3524167,0.1586587,0.002603477,0.00593545,0.4676594],"study_design_scores_gemma":[0.00005623256,0.00007026879,0.00175168,0.000008147261,0.00005768011,0.0000810353,0.0000209937,0.9613073,0.03497768,0.0006803588,0.0009714387,0.00001716011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2203962,0.0007815898,0.7585157,0.0002094616,0.0003726686,0.000231743,0.0007819664,0.015541,0.003169704],"genre_scores_gemma":[0.6959102,0.000339611,0.2990712,0.0001197064,0.000116655,0.00004650461,0.001000265,0.001459572,0.001936389],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004726545,"threshold_uncertainty_score":0.01098531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226354791","doi":"10.1016/j.advwatres.2022.104144","title":"Extreme Precipitation in China: A Review on Statistical Methods and Applications","year":2022,"lang":"en","type":"review","venue":"Advances in Water Resources","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":110,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary; University of Saskatchewan; Global Institute for Water Security","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Precipitation; Climatology; Extreme weather; Environmental science; China; Climate change; Extreme value theory; Terrain; Natural disaster; Meteorology; Geography; Statistics; Mathematics; Geology; Cartography","authors":[{"name":"Xuezhi Gu","is_ca":false},{"name":"Lei Ye","is_ca":false},{"name":"Qian Xin","is_ca":false},{"name":"Chi Zhang","is_ca":false},{"name":"Fanzhang Zeng","is_ca":false},{"name":"Sofia D. Nerantzaki","is_ca":true},{"name":"Simon Michael Papalexiou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06270109138381103,"gpt":0.3625907330977053,"spread":0.2998896417138943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005754037,0.001621222,0.003492471,0.006726359,0.0003829769,0.001773094,0.001670722,0.001050913,0.001959365],"category_scores_gemma":[0.00798993,0.0006021377,0.001974802,0.01136789,0.0008310145,0.002181089,0.001057276,0.001400574,0.0005050287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187954,"about_ca_system_score_gemma":0.006714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008645331,"about_ca_topic_score_gemma":0.008581261,"domain_scores_codex":[0.9981748,0.000353428,0.0004683781,0.0003493999,0.000587252,0.000066766],"domain_scores_gemma":[0.99424,0.004011089,0.0006268239,0.000144661,0.0008779966,0.00009937051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007287726,0.00005801369,0.003503805,0.02382482,0.0005067357,0.00008116412,0.00008517349,0.001424832,0.0005719772,0.003072036,0.01392696,0.9528715],"study_design_scores_gemma":[0.0002145042,0.000885248,0.05783726,0.02489584,0.006870503,0.00214344,0.0004544032,0.009622111,0.003506968,0.02412223,0.8688171,0.0006304136],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004698981,0.9948334,0.003246144,0.0004147647,0.0003144218,0.00002501634,0.0002471811,0.00003709374,0.0004121458],"genre_scores_gemma":[0.002188255,0.993893,0.00259888,0.0002817769,0.0006179239,0.00003867295,0.0002180217,0.00001117498,0.0001523386],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008645331,"threshold_uncertainty_score":0.03043061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010410731","doi":"10.1175/2009jtecha1284.1","title":"A Methodology to Derive Radar Reflectivity–Liquid Equivalent Snow Rate Relations Using C-Band Radar and a 2D Video Disdrometer","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Disdrometer; Snow; Radar; Power law; Environmental science; Remote sensing; Meteorology; Geology; Mathematics; Physics; Computer science; Statistics","authors":[{"name":"Gwo‐Jong Huang","is_ca":false},{"name":"V. N. Bringi","is_ca":false},{"name":"Robert Cifelli","is_ca":false},{"name":"David Hudak","is_ca":true},{"name":"Walt Petersen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0418292126744678,"gpt":0.2830070461496829,"spread":0.2411778334752151,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006482775,0.0008526499,0.000373716,0.001807891,0.0002560743,0.0006512103,0.0009701646,0.0006082545,0.001471388],"category_scores_gemma":[0.001575928,0.0005730608,0.0005936564,0.0008665068,0.0002160161,0.000669294,0.0005491917,0.0006796764,0.00101268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005255663,"about_ca_system_score_gemma":0.0009219842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005525779,"about_ca_topic_score_gemma":0.005919739,"domain_scores_codex":[0.9996112,0.0000612463,0.00003038331,0.0001106655,0.0001615875,0.00002489926],"domain_scores_gemma":[0.9994949,0.0001324142,0.00009470058,0.00006533496,0.0001970521,0.00001550006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007372836,0.0002096393,0.008287095,0.0003466945,0.0001248647,0.0003018162,0.0001597243,0.2674093,0.2127136,0.0108489,0.001496717,0.4980279],"study_design_scores_gemma":[0.00001817179,0.00006249559,0.002929421,0.00001707231,0.00002134377,0.0001574648,0.00002314409,0.9569039,0.03420277,0.001385198,0.004238327,0.00004075366],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005131263,0.000046343,0.9939677,0.000009276638,0.000007548437,0.00005067953,0.00004271724,0.0003547683,0.0003897211],"genre_scores_gemma":[0.0921523,0.0001296715,0.9066066,0.00002714536,0.00001370021,0.000187052,0.0001975389,0.00007679863,0.0006091496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005525779,"threshold_uncertainty_score":0.01098722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106210883","doi":"10.1175/jam2253.1","title":"Error Statistics of VPR Corrections in Stratiform Precipitation","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Homogeneity (statistics); Range (aeronautics); Stratification (seeds); Precipitation; Radar; Root mean square; Ranging; Geology; Environmental science; Physics; Computational physics; Remote sensing; Geodesy; Meteorology; Mathematics; Statistics; Materials science; Computer science","authors":[{"name":"A. Bellon","is_ca":true},{"name":"GyuWon Lee","is_ca":true},{"name":"Isztar Zawadzki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02101189470426284,"gpt":0.2485848565884376,"spread":0.2275729618841748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004474277,0.0003673731,0.0003286833,0.0009269945,0.0001786113,0.0006216393,0.0004303343,0.0002922659,0.0006510857],"category_scores_gemma":[0.01751305,0.0001920516,0.0003657279,0.0007952849,0.0003724211,0.0004557734,0.0005011194,0.0003133281,0.0002167322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512592,"about_ca_system_score_gemma":0.0003111149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003658468,"about_ca_topic_score_gemma":0.002254387,"domain_scores_codex":[0.997551,0.0005907357,0.0002092928,0.0006180748,0.0008826978,0.0001481071],"domain_scores_gemma":[0.9776337,0.01463699,0.001966125,0.002495464,0.003036202,0.0002316815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001252542,0.0001453231,0.3378481,0.0001529682,0.0004637795,0.0003364013,0.0002457949,0.5563206,0.01535793,0.001909047,0.001482649,0.08448491],"study_design_scores_gemma":[0.00005441859,0.0002955894,0.2848061,0.0000389042,0.00006803064,0.0002936698,0.00008080156,0.6809134,0.03078057,0.001283176,0.001301791,0.00008346004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985087,0.0001181367,0.01271017,0.00003555775,0.0000293825,0.00001782781,0.0008467125,0.0003960305,0.0007591833],"genre_scores_gemma":[0.9953269,0.00001957004,0.003314863,0.000006215591,0.000006610363,0.00001003783,0.001020826,0.00006823976,0.0002267877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004474277,"threshold_uncertainty_score":0.02366257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020307155","doi":"10.1175/jas3563.1","title":"Modeling of the Melting Layer. Part III: The Density Effect","year":2005,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Snow; Snowflake; Precipitation; Supercooling; Radar; Atmospheric sciences; Liquid water content; Atmosphere (unit); Rain and snow mixed; Environmental science; Flux (metallurgy); Meteorology; Materials science; Geology; Physics; Cloud computing","authors":[{"name":"Isztar Zawadzki","is_ca":true},{"name":"Wanda Szyrmer","is_ca":true},{"name":"Cameron Bell","is_ca":true},{"name":"Frédéric Fabry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02927699850221913,"gpt":0.2365319563875517,"spread":0.2072549578853326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472755,0.0007189096,0.0006405437,0.0002901431,0.0003903076,0.0006405224,0.001195082,0.0008315024,0.001992551],"category_scores_gemma":[0.0007885037,0.0005304666,0.0009161466,0.0002324232,0.0004023918,0.0009295629,0.000697197,0.0005324068,0.0005388755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006057612,"about_ca_system_score_gemma":0.0008627261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01426417,"about_ca_topic_score_gemma":0.004306162,"domain_scores_codex":[0.9999087,0.00002375711,0.000004962571,0.000013245,0.00002332782,0.00002597049],"domain_scores_gemma":[0.9998212,0.00006382704,0.00002771974,0.00002438242,0.00003907816,0.00002370837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000296086,0.00002772334,0.001052921,0.00003910923,0.00002343424,0.0000747731,0.00002038522,0.9859911,0.005675569,0.004241082,0.000208387,0.002615966],"study_design_scores_gemma":[0.000008469173,0.00001500331,0.0003293183,0.000005032335,0.00000868495,0.00001649897,0.000003805016,0.997524,0.0008085154,0.0008040456,0.0004723896,0.000004420412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4158913,0.002998119,0.5455289,0.000793356,0.000303316,0.0002704433,0.001129022,0.001081808,0.0320037],"genre_scores_gemma":[0.9779693,0.0008455183,0.01253209,0.00006198519,0.0000670219,0.0001231224,0.0001908321,0.0001582648,0.008051781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01426417,"threshold_uncertainty_score":0.02836227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2252465257","doi":"10.1002/2015gl067618","title":"First observations of triple‐frequency radar Doppler spectra in snowfall: Interpretation and applications","year":2016,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Deutscher Akademischer Austauschdienst; Natural Environment Research Council; Sight Research UK","keywords":"Snow; Spectral line; Radar; Doppler effect; Doppler radar; Environmental science; Meteorology; Physics; Remote sensing; Precipitation; Computational physics; Geology; Computer science; Telecommunications","authors":[{"name":"Stefan Kneifel","is_ca":false},{"name":"Pavlos Kollias","is_ca":true},{"name":"Alessandro Battaglia","is_ca":false},{"name":"Jussi Leinonen","is_ca":false},{"name":"Maximilian Maahn","is_ca":false},{"name":"Frédéric Tridon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05371988581068977,"gpt":0.2853494138241053,"spread":0.2316295280134155,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002467209,0.0002215972,0.0002479013,0.0007876746,0.0002351064,0.0003357642,0.0001942189,0.0003048381,0.0006082475],"category_scores_gemma":[0.0004349573,0.0001282686,0.0001694406,0.0005810742,0.0002190639,0.0003132358,0.0003252175,0.0002685689,0.000128831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139696,"about_ca_system_score_gemma":0.00009888438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005224526,"about_ca_topic_score_gemma":0.0009135455,"domain_scores_codex":[0.999928,0.00001192004,0.000004029536,0.000019521,0.00002094813,0.00001546701],"domain_scores_gemma":[0.9997507,0.00006942156,0.00004189553,0.00003203688,0.00006333437,0.00004267307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008143511,0.0001751041,0.201148,0.0002339077,0.0000834403,0.0007124919,0.0004371905,0.005606287,0.6704593,0.001177164,0.0008226299,0.1183301],"study_design_scores_gemma":[0.00006938873,0.000516806,0.7095773,0.0000772282,0.0001084546,0.001727474,0.000547349,0.115328,0.1639251,0.004104079,0.00395544,0.00006337684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846176,0.0003966555,0.01364383,0.00004226012,0.00001977289,0.00001105819,0.0002279531,0.0001159624,0.0009249673],"genre_scores_gemma":[0.9941891,0.00006469928,0.005571016,0.000006875,0.000008969931,0.000002828388,0.00008549578,0.000005534347,0.00006539405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007876746,"threshold_uncertainty_score":0.002034724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2519567241","doi":"10.1016/j.envsoft.2015.01.011","title":"Comparing interpolation techniques for monthly rainfall mapping using multiple evaluation criteria and auxiliary data sources: A case study of Sri Lanka","year":2015,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":101,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University","funders":"Japan Aerospace Exploration Agency","keywords":"Inverse distance weighting; Kriging; Interpolation (computer graphics); Multivariate interpolation; Terrain; Geostatistics; Bayesian probability; Environmental science; Variable (mathematics); Spatial dependence; Statistics; Geography; Meteorology; Mathematics; Computer science; Cartography; Spatial variability; Bilinear interpolation; Artificial intelligence","authors":[{"name":"Cameron C. F. Plouffe","is_ca":true},{"name":"Colin Robertson","is_ca":true},{"name":"Lalith Chandrapala","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2606301012098816,"gpt":0.310371990809608,"spread":0.04974188959972642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005423781,0.0005291972,0.0005011867,0.002206034,0.0005654543,0.00163209,0.0008782696,0.0004908338,0.0007878323],"category_scores_gemma":[0.0142282,0.0002955341,0.0006629864,0.004264301,0.0002882737,0.001161216,0.0007423147,0.0005912635,0.0001312381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171302,"about_ca_system_score_gemma":0.001202269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06553381,"about_ca_topic_score_gemma":0.07917444,"domain_scores_codex":[0.9982515,0.001099367,0.0001286353,0.0001264664,0.0002606936,0.0001332528],"domain_scores_gemma":[0.989058,0.008047285,0.0004581974,0.0004752526,0.001872595,0.00008871032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003474937,0.0005721069,0.16073,0.001135368,0.001204813,0.0004518967,0.004559375,0.3226569,0.009074703,0.007411176,0.002390985,0.4863378],"study_design_scores_gemma":[0.000249216,0.001254918,0.1770686,0.0002651479,0.0007684684,0.0002835571,0.006949264,0.7938728,0.01212368,0.002846623,0.004112662,0.0002050565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524036,0.0007811223,0.04235311,0.0001461456,0.00002609551,0.0000936201,0.0004883414,0.0002834187,0.003424538],"genre_scores_gemma":[0.9327802,0.0004532429,0.06574295,0.00001373719,0.000005880852,0.00005591103,0.0003675564,0.00007124343,0.0005092641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06553381,"threshold_uncertainty_score":0.1303048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883837588","doi":"10.1080/07055900.2018.1474728","title":"Ten Years of Science Based on the Canadian Precipitation Analysis: A CaPA System Overview and Literature Review","year":2018,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Manitoba Hydro; University of Manitoba; Impact; Environment and Climate Change Canada","funders":"","keywords":"Hydropower; Precipitation; Product (mathematics); Computer science; Environmental science; Strengths and weaknesses; Flood myth; Environmental resource management; Meteorology; Geography; Engineering","authors":[{"name":"Vincent Fortin","is_ca":true},{"name":"Guy Roy","is_ca":true},{"name":"Tricia Stadnyk","is_ca":true},{"name":"Kristina Koenig","is_ca":true},{"name":"Nicolas Gasset","is_ca":true},{"name":"A. Mahidjiba","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01696037814633741,"gpt":0.2270228483719965,"spread":0.2100624702256591,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01125663,0.00261428,0.002073855,0.04376378,0.002394618,0.007134242,0.004471909,0.001491936,0.005855512],"category_scores_gemma":[0.03005707,0.001481334,0.001894922,0.07317423,0.002079012,0.005150678,0.002769063,0.002281329,0.003204353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01659015,"about_ca_system_score_gemma":0.0621588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6832538,"about_ca_topic_score_gemma":0.6850564,"domain_scores_codex":[0.9940448,0.0007142087,0.0007955782,0.0008106891,0.003312975,0.0003216285],"domain_scores_gemma":[0.9655364,0.00724605,0.001764126,0.001356909,0.02316109,0.0009354501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008189202,0.000046006,0.007169174,0.0271993,0.0004596344,0.0002055148,0.0007550735,0.002604616,0.001008111,0.01215014,0.2000309,0.7482897],"study_design_scores_gemma":[0.000008807469,0.00002225277,0.01150351,0.01298933,0.0003476152,0.0001482184,0.000334921,0.001480291,0.0007740476,0.002598068,0.9696469,0.0001461235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002527243,0.8924195,0.02039202,0.01054432,0.001942065,0.000578406,0.03831897,0.001763752,0.03151384],"genre_scores_gemma":[0.01569654,0.9109777,0.0313583,0.00238672,0.001015712,0.0004251146,0.0342823,0.0006370019,0.003220538],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3167462,"threshold_uncertainty_score":0.6372232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2093652946","doi":"10.1016/j.atmosres.2015.04.011","title":"Separating stratiform and convective rain types based on the drop size distribution characteristics using 2D video disdrometer data","year":2015,"lang":"en","type":"article","venue":"Atmospheric Research","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University; University of Alabama; National Aeronautics and Space Administration","keywords":"Disdrometer; Radar; Remote sensing; Meteorology; Wind profiler; Environmental science; Geology; Computer science; Physics","authors":[{"name":"Merhala Thurai","is_ca":false},{"name":"Patrick Gatlin","is_ca":false},{"name":"V. N. Bringi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2046590456908283,"gpt":0.3565518843357641,"spread":0.1518928386449357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002190745,0.0003081318,0.0002716468,0.002839361,0.0002491603,0.0007201113,0.0002885709,0.000223941,0.001442939],"category_scores_gemma":[0.0006045189,0.0001619727,0.000296647,0.001223916,0.0001157075,0.0004804193,0.0002726348,0.000208902,0.0006340475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003418204,"about_ca_system_score_gemma":0.0003703642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.020435,"about_ca_topic_score_gemma":0.0664153,"domain_scores_codex":[0.9998071,0.000008977535,0.00001252335,0.00005446306,0.00006047975,0.0000566323],"domain_scores_gemma":[0.9995782,0.0000758942,0.00005803404,0.00003511681,0.0001884502,0.00006424358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005445181,0.0002016655,0.6720389,0.0001073715,0.00007486445,0.0002125433,0.0002914232,0.004413127,0.1951143,0.0003484078,0.002957615,0.1236953],"study_design_scores_gemma":[0.00002115013,0.00003920884,0.9186805,0.00001513076,0.00004677871,0.0000906663,0.0001946459,0.05800917,0.02016759,0.0001217213,0.002580327,0.00003308785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687883,0.0001411647,0.02015481,0.00003822654,0.0000433363,0.0001068302,0.005962278,0.0006135221,0.004151538],"genre_scores_gemma":[0.9682897,0.0001410165,0.02303743,0.00003829964,0.00002692825,0.00006074814,0.006921838,0.00009117394,0.001392925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.020435,"threshold_uncertainty_score":0.04063213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048625779","doi":"10.1016/j.atmosres.2014.07.013","title":"Use of 2D-video disdrometer to derive mean density–size and Ze–SR relations: Four snow cases from the light precipitation validation experiment","year":2014,"lang":"en","type":"article","venue":"Atmospheric Research","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":90,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"Academy of Finland; National Aeronautics and Space Administration","keywords":"Disdrometer; Snow; Environmental science; Precipitation; Meteorology; Snowflake; Radar; Remote sensing; Atmospheric sciences; Rain gauge; Geology; Physics; Telecommunications; Computer science","authors":[{"name":"Gwo‐Jong Huang","is_ca":false},{"name":"V. N. Bringi","is_ca":false},{"name":"Dmitri Moisseev","is_ca":false},{"name":"Walter A. Petersen","is_ca":false},{"name":"Larry F. Bliven","is_ca":false},{"name":"David Hudak","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1029682492406748,"gpt":0.3050736774399993,"spread":0.2021054281993245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130025,0.0003582086,0.0003615301,0.0007293476,0.000785218,0.0005102081,0.0007575174,0.0005044369,0.0004987441],"category_scores_gemma":[0.00121994,0.0002205872,0.0004239284,0.0005710018,0.0004105759,0.0004982589,0.0004100511,0.0002873073,0.000249515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008543192,"about_ca_system_score_gemma":0.000551066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05555042,"about_ca_topic_score_gemma":0.09299524,"domain_scores_codex":[0.999629,0.0000777628,0.00002743885,0.00009002585,0.0001184928,0.00005735581],"domain_scores_gemma":[0.9990265,0.0003106192,0.00008502408,0.0001514454,0.0003432927,0.00008299187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002645634,0.001798806,0.724196,0.00009446177,0.0002994549,0.0007172918,0.001333605,0.06091552,0.1494077,0.0006350506,0.002618927,0.05533749],"study_design_scores_gemma":[0.0003698395,0.0005676416,0.634293,0.0000143655,0.0001606529,0.0001821483,0.0006390824,0.2822222,0.07812772,0.0004452479,0.002894847,0.00008317775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963933,0.00001271511,0.002074627,0.00001806298,0.000004465519,0.00001962349,0.0006764825,0.00008357433,0.0007170227],"genre_scores_gemma":[0.9950392,0.000009283451,0.003467322,0.000009514847,0.000001461121,0.0000181008,0.001180996,0.00002315266,0.0002510765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05555042,"threshold_uncertainty_score":0.1104542,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3044411297","doi":"10.1109/tgrs.2020.3008033","title":"Precipitation Merging Based on the Triple Collocation Method Across Mainland China","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Global Water Futures; State Key Laboratory of Remote Sensing Science; China Postdoctoral Science Foundation; State Key Laboratory of Resources and Environmental Information System; National Natural Science Foundation of China","keywords":"Mean squared error; Precipitation; Scale (ratio); Computer science; Collocation (remote sensing); Benchmark (surveying); Weighting; Meteorology; Algorithm; Remote sensing; Environmental science; Mathematics; Data mining; Statistics; Machine learning; Geology; Geography; Physics; Geodesy; Cartography","authors":[{"name":"Feng Lyu","is_ca":false},{"name":"Guoqiang Tang","is_ca":true},{"name":"Ali Behrangi","is_ca":false},{"name":"Tsechun Wang","is_ca":false},{"name":"Xiao Tan","is_ca":false},{"name":"Ziqiang Ma","is_ca":false},{"name":"Wentao Xiong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02893915602115757,"gpt":0.2613849442538375,"spread":0.2324457882326799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006322131,0.0006286225,0.0005573821,0.001421353,0.000581608,0.0008487226,0.0007546314,0.0004945936,0.001779325],"category_scores_gemma":[0.001550753,0.0003581725,0.0009840674,0.002300796,0.0002815075,0.00111042,0.0009301747,0.0004942933,0.0004644844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044212,"about_ca_system_score_gemma":0.001169718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01518416,"about_ca_topic_score_gemma":0.01560473,"domain_scores_codex":[0.9995185,0.00006369365,0.00003945513,0.0001776547,0.000145778,0.00005503727],"domain_scores_gemma":[0.9995373,0.00006473888,0.0000612482,0.00009858311,0.0001963051,0.00004188755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005884007,0.0001661948,0.03789833,0.0002727985,0.0003711361,0.0008449497,0.001080038,0.4199667,0.05605007,0.006699639,0.009827388,0.4662344],"study_design_scores_gemma":[0.00005773564,0.00004844158,0.01921229,0.00001422433,0.00008380538,0.00009505246,0.0001755403,0.9599333,0.01233658,0.002041921,0.005946978,0.00005403843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3813268,0.0003277897,0.6054339,0.0002103977,0.0002374138,0.0002467073,0.00257387,0.003522084,0.006121088],"genre_scores_gemma":[0.6998784,0.0001750669,0.2931542,0.00006477497,0.00005968339,0.0001455692,0.004298018,0.0003118889,0.001912448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01518416,"threshold_uncertainty_score":0.03019154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014804400","doi":"10.2166/hydro.2010.056","title":"Towards better utilization of NEXRAD data in hydrology: an overview of Hydro-NEXRAD","year":2010,"lang":"en","type":"article","venue":"Journal of Hydroinformatics","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University Corporation for Atmospheric Research; National Science Foundation","keywords":"Hydrometeorology; Radar; Environmental science; Meteorology; Remote sensing; Computer science; Geography","authors":[{"name":"Witold F. Krajewski","is_ca":false},{"name":"Anton Kruger","is_ca":false},{"name":"James A. Smith","is_ca":false},{"name":"Ramon Lawrence","is_ca":true},{"name":"Charles Gunyon","is_ca":false},{"name":"Radosław Goska","is_ca":false},{"name":"Bong‐Chul Seo","is_ca":false},{"name":"Piotr Domaszczynski","is_ca":false},{"name":"Mary Lynn Baeck","is_ca":false},{"name":"Mohan K. Ramamurthy","is_ca":false},{"name":"J. Weber","is_ca":false},{"name":"A. Allen Bradley","is_ca":false},{"name":"S. Delgreco","is_ca":false},{"name":"Matthias Steiner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1220614014423749,"gpt":0.3198690472201267,"spread":0.1978076457777517,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01070638,0.0009317544,0.0007941558,0.007356697,0.000560516,0.00482197,0.002188919,0.001018875,0.002252906],"category_scores_gemma":[0.006881773,0.001025299,0.0007132677,0.01291936,0.001261981,0.01046875,0.003028369,0.002656139,0.001530785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002332003,"about_ca_system_score_gemma":0.003624827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01278884,"about_ca_topic_score_gemma":0.01198701,"domain_scores_codex":[0.9976052,0.0005540926,0.0003471615,0.0004083379,0.0009452411,0.0001400455],"domain_scores_gemma":[0.9943388,0.001243018,0.000363877,0.0008138688,0.002821853,0.0004185845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006433567,0.0001296483,0.01225385,0.001717927,0.0001340043,0.000167803,0.0005720504,0.008052377,0.003187618,0.06990416,0.04919937,0.8546168],"study_design_scores_gemma":[0.00001592188,0.00006651119,0.01260307,0.001905803,0.000063756,0.0002971303,0.0004886548,0.01813712,0.004708483,0.02136458,0.9402547,0.00009421916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01679989,0.2256616,0.6515224,0.0275584,0.001810841,0.0006241115,0.005063682,0.008856196,0.06210289],"genre_scores_gemma":[0.04160186,0.143818,0.794093,0.003108058,0.001277817,0.0003479357,0.007652592,0.001615404,0.006485404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01278884,"threshold_uncertainty_score":0.05662143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167954354","doi":"10.1109/8.943313","title":"Effect of wet antenna attenuation on propagation data statistics","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia","funders":"","keywords":"Attenuation; Statistics; Fade; Antenna (radio); Fading; Path loss; Cumulative distribution function; Path (computing); Log-normal distribution; Mathematics; Remote sensing; Environmental science; Telecommunications; Acoustics; Computer science; Geology; Probability density function; Physics; Optics; Wireless","authors":[{"name":"M.M.Z. Kharadly","is_ca":true},{"name":"R. Ross","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0342740862969056,"gpt":0.263748146754147,"spread":0.2294740604572414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009785821,0.0005404493,0.0005756582,0.0009592807,0.0004385963,0.00107188,0.0006158204,0.0004735179,0.0007668282],"category_scores_gemma":[0.06735533,0.0004501403,0.0005956599,0.001597537,0.0007618487,0.001427331,0.0007448139,0.0007571619,0.0003092442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191285,"about_ca_system_score_gemma":0.001008715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008972445,"about_ca_topic_score_gemma":0.009478972,"domain_scores_codex":[0.9902294,0.003597648,0.0008037454,0.00142497,0.003273374,0.0006708291],"domain_scores_gemma":[0.9092348,0.06133707,0.008066797,0.01266212,0.008059122,0.0006401316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.004088918,0.0003894866,0.4315348,0.0002031938,0.0007228329,0.0007009753,0.001019106,0.4327913,0.03273151,0.002309259,0.001999978,0.09150869],"study_design_scores_gemma":[0.0001264495,0.002501722,0.3484882,0.00004605534,0.0003691787,0.001222948,0.0006162751,0.5699858,0.07144517,0.002282924,0.002733812,0.0001814184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345029,0.0001113364,0.0614834,0.000107997,0.00004426959,0.0001157356,0.00101115,0.00117342,0.001449869],"genre_scores_gemma":[0.9911436,0.00005193376,0.007468098,0.00003878661,0.000008326337,0.00003837808,0.0008414075,0.0001048442,0.0003047433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009785821,"threshold_uncertainty_score":0.05175298,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2795340014","doi":"10.1080/07055900.2018.1433627","title":"An Overview of Surface-Based Precipitation Observations at Environment and Climate Change Canada","year":2018,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Precipitation; Context (archaeology); Snow; Radar; Environmental science; Computer science; Environmental resource management; Climate change; Meteorology; Identification (biology); Geography; Telecommunications","authors":[{"name":"Éva Mekis","is_ca":true},{"name":"Norman Donaldson","is_ca":true},{"name":"Janti Reid","is_ca":true},{"name":"Alex Zucconi","is_ca":true},{"name":"Jeffery Hoover","is_ca":true},{"name":"Qian Li","is_ca":true},{"name":"Rodica Nitu","is_ca":true},{"name":"S. M. L. Melo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06568249508963439,"gpt":0.2395826785184402,"spread":0.1739001834288058,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001591246,0.0006667014,0.00041858,0.007522907,0.00220022,0.002615054,0.001448949,0.0003919295,0.003989359],"category_scores_gemma":[0.002571728,0.00044285,0.0004267268,0.01861406,0.0005062642,0.001100501,0.0009156718,0.0007896722,0.0009606241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0262401,"about_ca_system_score_gemma":0.06543221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848262,"about_ca_topic_score_gemma":0.9849538,"domain_scores_codex":[0.9975917,0.0001152886,0.0001023727,0.0002208114,0.00173624,0.0002335113],"domain_scores_gemma":[0.995338,0.0002978878,0.0001631905,0.0001395336,0.003800808,0.0002606491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001106662,0.00008639531,0.093861,0.002356004,0.0001434531,0.0002564656,0.0009356116,0.009466687,0.004808027,0.01394686,0.1425724,0.7314565],"study_design_scores_gemma":[0.0000107758,0.00003721546,0.1477559,0.0007568903,0.00005723628,0.0001698124,0.0006570902,0.004123705,0.001551971,0.00117053,0.843621,0.00008809113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06474064,0.2087827,0.1091527,0.01373046,0.001772409,0.002528384,0.222766,0.005913075,0.3706136],"genre_scores_gemma":[0.2731865,0.3172151,0.1964554,0.004243541,0.001267946,0.00107478,0.1334418,0.001187731,0.07192715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0262401,"threshold_uncertainty_score":0.1903862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090422664","doi":"10.1175/2009jamc1927.1","title":"Probabilistic Parameterizations of Visibility Using Observations of Rain Precipitation Rate, Relative Humidity, and Visibility","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Visibility; Environmental science; Precipitation; Relative humidity; Meteorology; Probabilistic logic; Percentile; Humidity; Atmospheric sciences; Climatology; Statistics; Geography; Mathematics; Geology","authors":[{"name":"Ismail Gültepe","is_ca":true},{"name":"Jason A. Milbrandt","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04764762418521118,"gpt":0.2754946950528007,"spread":0.2278470708675895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657922,0.0004472257,0.0002509699,0.0008486556,0.0001919257,0.0005988291,0.0004485759,0.0003314868,0.0002265745],"category_scores_gemma":[0.007263558,0.0003192009,0.0004953629,0.0007711308,0.0003620179,0.00102861,0.0003989439,0.0003654754,0.00006362586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007376574,"about_ca_system_score_gemma":0.0004346881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203927,"about_ca_topic_score_gemma":0.01626008,"domain_scores_codex":[0.9994161,0.0002082179,0.00003308112,0.0001538074,0.0001080066,0.000080675],"domain_scores_gemma":[0.9970246,0.001786791,0.0005303594,0.0003609969,0.0002249616,0.00007231024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002277777,0.00006146781,0.3526576,0.00003477081,0.000198128,0.00005646524,0.0001058863,0.6257672,0.004199846,0.001629686,0.0002034947,0.0148577],"study_design_scores_gemma":[0.00001100692,0.00006337778,0.2247602,0.00001007535,0.00002847298,0.00007184856,0.00006384636,0.7721611,0.001334307,0.001250588,0.0002102686,0.00003489308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391765,0.00009234604,0.05946724,0.00003832504,0.00000599489,0.00002534155,0.000367718,0.0001389027,0.0006876242],"genre_scores_gemma":[0.9981812,0.00001635144,0.001558337,0.000001786256,0.000003003201,0.000004881706,0.0002013003,0.000004495163,0.00002869125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02203927,"threshold_uncertainty_score":0.04382199,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994731825","doi":"10.1007/s00704-009-0140-y","title":"GIS-based high-resolution spatial interpolation of precipitation in mountain–plain areas of Upper Pakistan for regional climate change impact studies","year":2009,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Precipitation; Climatology; Monsoon; Environmental science; Climate change; Climate model; Elevation (ballistics); Physical geography; Geology; Geography; Meteorology","authors":[{"name":"Muhammad Waseem Ashiq","is_ca":true},{"name":"Chuanyan Zhao","is_ca":false},{"name":"Jian Ni","is_ca":false},{"name":"Muhammad Akhtar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02710249308281571,"gpt":0.299496305378414,"spread":0.2723938122955983,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005590405,0.0002566169,0.0002633905,0.001032443,0.000576706,0.0004927097,0.0004749086,0.0001705661,0.002310753],"category_scores_gemma":[0.001435255,0.000245899,0.000348143,0.002659278,0.0001501582,0.0004117621,0.0003609353,0.0002839194,0.0004017609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008351651,"about_ca_system_score_gemma":0.001847171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1096029,"about_ca_topic_score_gemma":0.1323891,"domain_scores_codex":[0.9997693,0.00007868589,0.00002186041,0.00003996852,0.00005439679,0.00003590779],"domain_scores_gemma":[0.9994628,0.0001033694,0.00006478865,0.00009696811,0.0002338484,0.00003820945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001335767,0.0009171808,0.5652046,0.0005292959,0.0003668865,0.0007916873,0.00150906,0.1577981,0.0131534,0.004953781,0.01555605,0.2378842],"study_design_scores_gemma":[0.0001801234,0.0001598009,0.7786753,0.00007721601,0.0001635655,0.0001689364,0.001763932,0.2027093,0.005533508,0.001261801,0.009247825,0.00005873277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553449,0.0001374963,0.02015182,0.000150658,0.0000521232,0.0001724733,0.01974194,0.0005563367,0.003692127],"genre_scores_gemma":[0.9622704,0.00007021592,0.02915569,0.000006767521,0.00000612653,0.0001049861,0.007903766,0.00001422549,0.0004678619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1096029,"threshold_uncertainty_score":0.21793,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W423317447","doi":"10.1016/j.agrformet.2015.05.003","title":"Empirical estimation of daytime net radiation from shortwave radiation and ancillary information","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; National Water Center, United Arab Emirates University; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences; Environment Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canadian Foundation for Climate and Atmospheric Sciences; Center for Neuroscience and Regenerative Medicine; University of Virginia; Natural Resources Canada; Université Laval; Università degli Studi della Tuscia; U.S. Department of Energy; National Science Foundation","keywords":"Shortwave radiation; Shortwave; Environmental science; Albedo (alchemy); Radiation; Meteorology; Remote sensing; Geography; Radiative transfer; Physics","authors":[{"name":"Bo Jiang","is_ca":false},{"name":"Yi Zhang","is_ca":false},{"name":"Shunlin Liang","is_ca":false},{"name":"Georg Wohlfahrt","is_ca":false},{"name":"M. Altaf Arain","is_ca":true},{"name":"Alessandro Cescatti","is_ca":false},{"name":"Teodoro Georgiadis","is_ca":false},{"name":"Kun Jia","is_ca":false},{"name":"Gerard Kiely","is_ca":false},{"name":"Magnus Lund","is_ca":false},{"name":"Leonardo Montagnani","is_ca":false},{"name":"Vincenzo Magliulo","is_ca":false},{"name":"Penélope Serrano-Ortíz","is_ca":false},{"name":"Walter C. Oechel","is_ca":false},{"name":"Francesco Primo Vaccari","is_ca":false},{"name":"Yunjun Yao","is_ca":false},{"name":"Xiaotong Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02042883994495708,"gpt":0.2185484453340794,"spread":0.1981196053891224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492537,0.0005202884,0.000478952,0.0005763681,0.0001412962,0.0006937165,0.0008240937,0.0004341301,0.001546776],"category_scores_gemma":[0.01075181,0.0003852606,0.0004337034,0.0005278828,0.000326456,0.00127365,0.0005168237,0.0005875788,0.0004047617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003619841,"about_ca_system_score_gemma":0.000754295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003957234,"about_ca_topic_score_gemma":0.004649649,"domain_scores_codex":[0.9996185,0.0001630885,0.00002945348,0.00008631305,0.00007449859,0.00002809139],"domain_scores_gemma":[0.9938274,0.00482382,0.0003204346,0.000571291,0.0003785417,0.00007842799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003254995,0.0002333684,0.1321881,0.0002693642,0.0002930537,0.0001927033,0.000105464,0.662828,0.007858289,0.007167648,0.002171853,0.1863668],"study_design_scores_gemma":[0.00001502607,0.00002222888,0.03334631,0.00001719068,0.00002286433,0.0000906368,0.00001713116,0.9621592,0.001218186,0.002569098,0.000510236,0.00001183033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5786688,0.001273245,0.4147205,0.0002775772,0.00003607972,0.00003575991,0.0009732058,0.0007012811,0.003313483],"genre_scores_gemma":[0.9554702,0.0004031893,0.04097804,0.00003499481,0.00004962523,0.00002675508,0.001665822,0.00007632665,0.001295098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003957234,"threshold_uncertainty_score":0.007893324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2172542931","doi":"10.1175/jam2222.1","title":"Variability of Drop Size Distributions: Noise and Noise Filtering in Disdrometric Data","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Spurious relationship; Statistics; Mathematics; Regression; Noise (video); Linear regression; Robust regression; Regression analysis; Simple linear regression; Sample size determination; Computer science","authors":[{"name":"GyuWon Lee","is_ca":true},{"name":"Isztar Zawadzki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02611319092023593,"gpt":0.2458837760685952,"spread":0.2197705851483592,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002646404,0.0004042434,0.0004520105,0.001636093,0.0003016171,0.000763552,0.0006052125,0.0003786175,0.0003837645],"category_scores_gemma":[0.008035574,0.0002494065,0.0004241966,0.001825277,0.0004304385,0.001070368,0.0005674501,0.000388241,0.0002309117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004893339,"about_ca_system_score_gemma":0.0002352511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003686009,"about_ca_topic_score_gemma":0.003229174,"domain_scores_codex":[0.998489,0.0003033192,0.0001309828,0.0003509603,0.0006512661,0.00007449863],"domain_scores_gemma":[0.9962385,0.001770802,0.0006552581,0.0005296724,0.0007609515,0.00004488257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005973776,0.0001832338,0.3745754,0.0005260885,0.0004625858,0.0005167669,0.001053318,0.09980095,0.1795037,0.005868922,0.003214811,0.3336967],"study_design_scores_gemma":[0.00003528463,0.0001460765,0.4804237,0.0000828733,0.0001415906,0.0005756894,0.0002241858,0.4424638,0.06356259,0.005656602,0.006575314,0.0001123512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5570457,0.0003996685,0.4381258,0.0001995241,0.00006555744,0.00007622622,0.0009868437,0.001065822,0.00203486],"genre_scores_gemma":[0.9546139,0.0001491839,0.04370113,0.00005894625,0.00003368404,0.00004228118,0.0009249209,0.0001554111,0.0003204444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003686009,"threshold_uncertainty_score":0.01399565,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2624989982","doi":"10.5194/hess-22-1437-2018","title":"Testing and development of transfer functions for weighing precipitation gauges in WMO-SPICE","year":2018,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Environment and Climate Change Canada","keywords":"Precipitation; Gauge (firearms); Environmental science; Shields; Shield; Meteorology; Geology; Materials science; Physics","authors":[{"name":"John Kochendorfer","is_ca":false},{"name":"Rodica Nitu","is_ca":true},{"name":"Mareile Wolff","is_ca":false},{"name":"Éva Mekis","is_ca":true},{"name":"Roy Rasmussen","is_ca":false},{"name":"Bruce L. Baker","is_ca":false},{"name":"Michael E. Earle","is_ca":true},{"name":"Audrey Reverdin","is_ca":false},{"name":"Kai Chi Wong","is_ca":true},{"name":"Craig D. Smith","is_ca":true},{"name":"Daqing Yang","is_ca":true},{"name":"Yves‐Alain Roulet","is_ca":false},{"name":"Tilden P. Meyers","is_ca":false},{"name":"Samuel Buisán","is_ca":false},{"name":"Ketil Isaksen","is_ca":false},{"name":"Ragnar Brækkan","is_ca":false},{"name":"Scott Landolt","is_ca":false},{"name":"Al Jachcik","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05394305567802384,"gpt":0.2404432550239304,"spread":0.1865001993459065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006106813,0.001046558,0.0004562511,0.0007960606,0.0003287111,0.0006045215,0.0015237,0.0009859557,0.001278648],"category_scores_gemma":[0.01626015,0.0004318253,0.0005953043,0.000632812,0.0003754062,0.001610747,0.0008498993,0.001157867,0.0006098397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000835974,"about_ca_system_score_gemma":0.000852299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007152806,"about_ca_topic_score_gemma":0.003147728,"domain_scores_codex":[0.9987705,0.0004888158,0.0000668196,0.000200064,0.0003739216,0.00009984589],"domain_scores_gemma":[0.9949349,0.00278109,0.0002222114,0.0005524245,0.001410071,0.0000992324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001783322,0.001121894,0.03471056,0.0003734136,0.0003065205,0.0002539869,0.0003440802,0.6059622,0.06208497,0.003516174,0.001878817,0.2876641],"study_design_scores_gemma":[0.0001244411,0.0004502612,0.01059279,0.0000210556,0.000046225,0.0000397993,0.00004310378,0.946291,0.04058072,0.0004715643,0.001304179,0.00003472969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5437906,0.00009141766,0.4474582,0.0001511585,0.00009090482,0.0003904472,0.000485015,0.005209924,0.002332488],"genre_scores_gemma":[0.8086,0.00006805419,0.1889646,0.00006135473,0.00001498942,0.0003297057,0.0008623244,0.0003680055,0.0007308812],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007152806,"threshold_uncertainty_score":0.0322963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4245424902","doi":"10.1007/s11600-018-0226-y","title":"Analysis of deterministic and geostatistical interpolation techniques for mapping meteorological variables at large watershed scales","year":2018,"lang":"en","type":"article","venue":"Acta Geophysica","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Kriging; Inverse distance weighting; Interpolation (computer graphics); Multivariate interpolation; Watershed; Geostatistics; Spline (mechanical); Precipitation; Remote sensing; Weighting; Environmental science; Spline interpolation; Spatial variability; Meteorology; Mathematics; Bilinear interpolation; Geology; Statistics; Computer science; Geography","authors":[{"name":"Mohammad Amin Amini","is_ca":false},{"name":"Ghazale Torkan","is_ca":false},{"name":"Saeid Eslamian","is_ca":false},{"name":"Mohammad Javad Zareian","is_ca":false},{"name":"Jan Adamowski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02177538478060756,"gpt":0.2495931379751193,"spread":0.2278177531945117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004048118,0.0003794578,0.0003846792,0.0009852669,0.0005096095,0.0006488709,0.0009807999,0.0005178795,0.0007409998],"category_scores_gemma":[0.01512451,0.0003933369,0.0007097374,0.001612518,0.0003416502,0.0007582721,0.0006060607,0.0006121697,0.00008515904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009469321,"about_ca_system_score_gemma":0.002543815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720571,"about_ca_topic_score_gemma":0.01863312,"domain_scores_codex":[0.9990637,0.00046106,0.00005893423,0.0001145443,0.0002413949,0.00006038587],"domain_scores_gemma":[0.985932,0.01161082,0.0005491194,0.0005796987,0.001255761,0.00007266949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002665591,0.0001441012,0.01088473,0.0001113905,0.0001344719,0.00004615122,0.00009318846,0.8619217,0.003204807,0.01256112,0.0003971836,0.1102346],"study_design_scores_gemma":[0.000007553224,0.00001929799,0.001807464,0.000003032026,0.00001248891,0.000008375293,0.000009357385,0.9959031,0.0007691837,0.001322983,0.0001313861,0.000005746158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2322807,0.0003783422,0.7655574,0.0001678109,0.00002654662,0.00005547458,0.0002503586,0.0004298741,0.0008534697],"genre_scores_gemma":[0.6647915,0.0003189964,0.3334552,0.00002056025,0.00002740131,0.0001135747,0.0004967539,0.00009054744,0.0006853332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01720571,"threshold_uncertainty_score":0.03421116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1935178354","doi":"10.1175/bams-d-15-00048.1","title":"The Threat to Weather Radars by Wireless Technology","year":2015,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Wireless; Radar; Telecommunications; Process (computing); Wireless network; Computer science; Radio spectrum; Weather radar; Work (physics); Engineering","authors":[{"name":"Elena Saltikoff","is_ca":false},{"name":"John Y. N. Cho","is_ca":false},{"name":"Philippe Tristant","is_ca":false},{"name":"Asko Huuskonen","is_ca":false},{"name":"Lynn Allmon","is_ca":false},{"name":"Russell Cook","is_ca":false},{"name":"Erik Becker","is_ca":false},{"name":"Paul Joe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0173076436645096,"gpt":0.2233788541627703,"spread":0.2060712104982607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001775654,0.0003235055,0.0002076672,0.0008761921,0.001197149,0.003658703,0.0004117941,0.001718981,0.005621971],"category_scores_gemma":[0.007539116,0.0002061001,0.0003156499,0.0006239658,0.001502075,0.003221247,0.002255192,0.002631895,0.002289179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936279,"about_ca_system_score_gemma":0.0004858919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580033,"about_ca_topic_score_gemma":0.0008402902,"domain_scores_codex":[0.9974179,0.00113973,0.0001394351,0.0001676732,0.0008385626,0.0002966122],"domain_scores_gemma":[0.993251,0.00271,0.002050543,0.0006034897,0.001001195,0.0003836497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004908472,0.0002883501,0.1315798,0.0007190643,0.0002598855,0.00672759,0.005350054,0.006873161,0.02736961,0.2285753,0.1365862,0.4551801],"study_design_scores_gemma":[0.00005574953,0.0007576522,0.06114527,0.0009544382,0.0001348095,0.01045488,0.006621445,0.01062324,0.01002147,0.07963219,0.8194613,0.0001374698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3386359,0.03005235,0.04628455,0.1037543,0.005186009,0.0001378233,0.0005167535,0.0004240014,0.4750084],"genre_scores_gemma":[0.954709,0.01226293,0.003820542,0.007572367,0.002799846,0.00003680541,0.0001339708,0.00005171101,0.0186128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005621971,"threshold_uncertainty_score":0.01880735,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015421666","doi":"10.1016/j.jhydrol.2005.11.046","title":"Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data","year":2006,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Disdrometer; Radar; Remote sensing; Polarimetry; Calibration; Differential phase; Environmental science; Meteorology; Rain gauge; Computer science; Mathematics; Geology; Statistics; Physics; Optics","authors":[{"name":"GyuWon Lee","is_ca":true},{"name":"Isztar Zawadzki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009223132467648337,"gpt":0.2258112695667997,"spread":0.2165881370991513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007322432,0.0005060447,0.0005900487,0.001028137,0.000660354,0.001325143,0.0009120812,0.001281093,0.0004773071],"category_scores_gemma":[0.02448917,0.0006551289,0.0004625877,0.001285689,0.0009487827,0.002270068,0.001325631,0.001241711,0.0002473062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078855,"about_ca_system_score_gemma":0.0008447196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490392,"about_ca_topic_score_gemma":0.00185336,"domain_scores_codex":[0.9958557,0.001330092,0.0001456795,0.0008006237,0.001652633,0.0002152515],"domain_scores_gemma":[0.9828154,0.01215512,0.0007380688,0.002438394,0.001739125,0.0001138378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007438316,0.0003003443,0.224762,0.0004348387,0.0002719558,0.0003597408,0.0005776934,0.2455835,0.05635547,0.05298968,0.002063379,0.4155575],"study_design_scores_gemma":[0.00004392516,0.0001176721,0.0594599,0.00007051177,0.00008503413,0.000891735,0.0000776891,0.8878537,0.03610648,0.01264569,0.00259011,0.00005754575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3715646,0.001883492,0.619499,0.000706163,0.00009768138,0.00004530562,0.0002305649,0.0008636296,0.00510957],"genre_scores_gemma":[0.9300184,0.0006048747,0.06810886,0.0001602124,0.00006459772,0.00004426368,0.000261998,0.0001282668,0.0006084536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007322432,"threshold_uncertainty_score":0.0387252,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031247233","doi":"10.3137/ao.460202","title":"Field accuracy of Canadian rain measurements","year":2008,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada","funders":"Transport Canada","keywords":"Rain gauge; Precipitation; Meteorology; Environmental science; Gauge (firearms); National weather service; Hydrology (agriculture); Geology; Geography; Geotechnical engineering","authors":[{"name":"Kenneth A. Devine","is_ca":false},{"name":"Éva Mekis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04747071629957189,"gpt":0.227614636698609,"spread":0.1801439203990371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002887687,0.0004490206,0.0004259745,0.002099845,0.002287532,0.001806863,0.001966448,0.0002262462,0.005249984],"category_scores_gemma":[0.007313076,0.0002910735,0.0003562188,0.003408704,0.000600839,0.0007278642,0.0008633112,0.00040531,0.0007518224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01613576,"about_ca_system_score_gemma":0.02001483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749104,"about_ca_topic_score_gemma":0.9800509,"domain_scores_codex":[0.9961738,0.0002717077,0.0001635354,0.0006835972,0.00230448,0.0004029139],"domain_scores_gemma":[0.9909014,0.0005966025,0.0003212164,0.0004799704,0.007543237,0.0001577636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001254859,0.0001695498,0.2968897,0.001353557,0.000445124,0.0002391419,0.002762685,0.02499362,0.04462192,0.006146177,0.06233174,0.5587919],"study_design_scores_gemma":[0.0001605503,0.0001510378,0.8399592,0.0002417941,0.0001884304,0.0001143842,0.001235602,0.02341002,0.03499503,0.0007975505,0.09853932,0.000207049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7751625,0.003683652,0.03584735,0.001213451,0.0004103026,0.0007218183,0.06293143,0.005081501,0.1149481],"genre_scores_gemma":[0.9560005,0.0009955302,0.0189352,0.0002241671,0.00002746813,0.0002045722,0.01275159,0.0001754791,0.01068547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02508956,"threshold_uncertainty_score":0.1170736,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3095201267","doi":"10.1175/jhm-d-20-0100.1","title":"Large-Scale Analysis of Global Gridded Precipitation and Temperature Datasets for Climate Change Impact Studies","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Environmental science; Satellite; Climatology; Scale (ratio); Climate change; Computer science; Climate Forecast System; Gauge (firearms); Quantitative precipitation estimation; Meteorology; Geography","authors":[{"name":"Tarek Mostafa","is_ca":true},{"name":"François Brissette","is_ca":true},{"name":"Richard Arsenault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04765562577156633,"gpt":0.3153899252982879,"spread":0.2677342995267215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01117278,0.0004738365,0.0005277215,0.002101076,0.000416646,0.0009413787,0.0008756254,0.0005216557,0.001209993],"category_scores_gemma":[0.0180873,0.0002211271,0.0009147823,0.004654379,0.0003067471,0.001057745,0.001092225,0.0006237095,0.0003758843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009004913,"about_ca_system_score_gemma":0.0008942602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137779,"about_ca_topic_score_gemma":0.02171947,"domain_scores_codex":[0.9958567,0.002442391,0.0003246381,0.0005494246,0.0006782475,0.0001486103],"domain_scores_gemma":[0.9869249,0.007426269,0.0008528599,0.002314697,0.002187043,0.0002942684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001171821,0.001335428,0.5766048,0.0006260803,0.002276244,0.0005639661,0.0004393773,0.2705649,0.007006126,0.002508612,0.02937296,0.1075297],"study_design_scores_gemma":[0.0003334399,0.0001858586,0.7880625,0.00007488976,0.00019342,0.00004306849,0.0006457921,0.1978108,0.003237302,0.0010732,0.00827225,0.00006748128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250182,0.0003352932,0.009495745,0.0005757681,0.0001254879,0.0004604397,0.06047413,0.0009866779,0.002528298],"genre_scores_gemma":[0.8926015,0.0001577635,0.02192055,0.0001156579,0.0000531181,0.0005949433,0.08406696,0.0001168975,0.0003727785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02137779,"threshold_uncertainty_score":0.05908805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109938968","doi":"10.5194/amt-6-3635-2013","title":"Characterization of video disdrometer uncertainties and impacts on estimates of snowfall rate and radar reflectivity","year":2013,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Jet Propulsion Laboratory; Colorado State University; National Aeronautics and Space Administration","keywords":"Disdrometer; Snow; Environmental science; Precipitation; Radar; Meteorology; Remote sensing; Particle (ecology); Snowflake; Latitude; Atmospheric sciences; Physics; Geology; Computer science; Geodesy","authors":[{"name":"Norman B. Wood","is_ca":false},{"name":"Tristan L’Ecuyer","is_ca":false},{"name":"Francis Bliven","is_ca":false},{"name":"Graeme L. Stephens","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02345897393193841,"gpt":0.2264150345275258,"spread":0.2029560605955874,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002802817,0.000351487,0.0002156647,0.0005718128,0.0002363365,0.0005701339,0.0005562704,0.0003940073,0.0003436487],"category_scores_gemma":[0.01083624,0.0001874128,0.0003030508,0.0005900484,0.0002510326,0.0007179798,0.0003580222,0.0003350105,0.0000820103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418839,"about_ca_system_score_gemma":0.0007295989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04467817,"about_ca_topic_score_gemma":0.03282941,"domain_scores_codex":[0.9991334,0.0002092408,0.00003677625,0.0002111225,0.0003394972,0.00006995492],"domain_scores_gemma":[0.9933208,0.004206758,0.0006656255,0.0005380071,0.001166516,0.0001022961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007606125,0.0001217356,0.2589901,0.0001547666,0.0002065979,0.0002132718,0.0002492641,0.6326823,0.02452627,0.001832233,0.001109891,0.07915305],"study_design_scores_gemma":[0.0000187788,0.0001069747,0.1642485,0.00002757102,0.00003342954,0.000105328,0.00008018902,0.8198348,0.01407442,0.0005849935,0.0008456699,0.00003938647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515142,0.0002924409,0.04485127,0.0001026683,0.00001592713,0.0000352305,0.0009311236,0.0003570106,0.001900331],"genre_scores_gemma":[0.994837,0.00003937319,0.004323429,0.00001686043,0.000003279687,0.000009097565,0.0006345385,0.00002827778,0.0001081106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04467817,"threshold_uncertainty_score":0.08883625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2767638814","doi":"10.3390/rs9111142","title":"Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation, Type Classification and Vertical Profiling","year":2017,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Goddard Space Flight Center; National Natural Science Foundation of China; Japan Aerospace Exploration Agency; Canada Excellence Research Chairs, Government of Canada; National Aeronautics and Space Administration","keywords":"Global Precipitation Measurement; Precipitation; Environmental science; Radar; Meteorology; Precipitation types; Climatology; Remote sensing; Geology; Computer science; Geography","authors":[{"name":"Jinyu Gao","is_ca":false},{"name":"Guoqiang Tang","is_ca":false},{"name":"Yang Hong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03401608123823094,"gpt":0.2740208816536024,"spread":0.2400048004153714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003996233,0.0005920911,0.000429838,0.001201858,0.0001790102,0.0007901369,0.0006383108,0.0006210199,0.0006866513],"category_scores_gemma":[0.005083398,0.0003261362,0.0006765759,0.001391444,0.0003171905,0.001589286,0.0007794746,0.0008643138,0.0004824642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793188,"about_ca_system_score_gemma":0.0003716271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002203203,"about_ca_topic_score_gemma":0.002656123,"domain_scores_codex":[0.9978635,0.0004947606,0.0001319012,0.0006430269,0.0007342246,0.0001325986],"domain_scores_gemma":[0.9978848,0.0004720784,0.0003264787,0.0004689571,0.0007622414,0.0000852693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005533771,0.000263586,0.09196462,0.0005147769,0.0003485461,0.0002575846,0.0004646177,0.0445556,0.1227072,0.002452044,0.003237647,0.7326804],"study_design_scores_gemma":[0.0001503832,0.001482599,0.5689235,0.0001288541,0.000569262,0.001198918,0.0005357142,0.263442,0.1077204,0.001985743,0.05366596,0.0001966785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7839584,0.006909431,0.1906973,0.0009218985,0.0003813025,0.0003065912,0.001069762,0.001300027,0.01445521],"genre_scores_gemma":[0.861841,0.001956308,0.1315073,0.0002848982,0.0002482647,0.0001069846,0.001487835,0.0001756597,0.002391734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003996233,"threshold_uncertainty_score":0.02113438,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023506241","doi":"10.1109/tgrs.2020.2989183","title":"Infrared Precipitation Estimation Using Convolutional Neural Network","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Convolutional neural network; Computer science; Mean squared error; Precipitation; Channel (broadcasting); Artificial intelligence; Correlation coefficient; Artificial neural network; Pattern recognition (psychology); Machine learning; Statistics; Mathematics; Meteorology; Telecommunications; Geography","authors":[{"name":"Cunguang Wang","is_ca":false},{"name":"Jing Xu","is_ca":false},{"name":"Guoqiang Tang","is_ca":true},{"name":"Yi Yang","is_ca":false},{"name":"Yang Hong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03920391852620005,"gpt":0.2387745704677226,"spread":0.1995706519415226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003001962,0.0006663622,0.0003251595,0.0005127809,0.0001715087,0.0003813954,0.0006390202,0.0003653879,0.0006914028],"category_scores_gemma":[0.0008881752,0.0002451997,0.0004050983,0.0005266093,0.0001663956,0.0004961095,0.0004268806,0.0005816981,0.0002534786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006499859,"about_ca_system_score_gemma":0.0006276557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01732788,"about_ca_topic_score_gemma":0.01341924,"domain_scores_codex":[0.9998629,0.00001574319,0.000008147837,0.00004284799,0.00004101362,0.00002936458],"domain_scores_gemma":[0.9998237,0.00004507757,0.00003307007,0.0000176317,0.00007214389,0.000008462396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001160998,0.00006528657,0.006985195,0.00004020513,0.0001086042,0.00007710684,0.00002000124,0.8260044,0.007347307,0.001184136,0.001704355,0.1563472],"study_design_scores_gemma":[0.000001825361,0.000003690975,0.0005870724,0.000001436577,0.000004815345,0.000004514332,0.000001201043,0.9982992,0.0007414806,0.0002448543,0.0001079507,0.000002053158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.261557,0.001061755,0.72763,0.0004537242,0.0001531884,0.0000479565,0.0005557152,0.002909255,0.00563136],"genre_scores_gemma":[0.9398293,0.0003555063,0.05535633,0.0001126932,0.00005547155,0.00003331836,0.0008551645,0.00005103801,0.00335128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01732788,"threshold_uncertainty_score":0.03445405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138706393","doi":"10.1002/hyp.1350","title":"Assessment of the impact of meteorological network density on the estimation of basin precipitation and runoff: a case study","year":2003,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Environmental science; Kriging; Flood myth; Surface runoff; Drainage basin; Hydrology (agriculture); Drainage; Meteorology; Statistics; Geology; Mathematics; Geography; Cartography","authors":[{"name":"André St‐Hilaire","is_ca":true},{"name":"Taha B. M. J. Ouarda","is_ca":true},{"name":"Marius Lachance","is_ca":true},{"name":"Bernard Bobée","is_ca":true},{"name":"Jocelyn Gaudet","is_ca":true},{"name":"Claude Gignac","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04224512651912046,"gpt":0.2901773533221452,"spread":0.2479322268030247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001820307,0.0005077309,0.0002766868,0.0006272266,0.0004648061,0.0008017237,0.0007967637,0.0005454892,0.000814324],"category_scores_gemma":[0.005950494,0.000319854,0.000377472,0.0009149484,0.0004632377,0.0005331826,0.000584889,0.0004436526,0.00005572565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003737572,"about_ca_system_score_gemma":0.001089106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2410744,"about_ca_topic_score_gemma":0.2041398,"domain_scores_codex":[0.9992893,0.0004039369,0.00002723554,0.00007809638,0.0001357839,0.0000655578],"domain_scores_gemma":[0.9921869,0.006032253,0.000358971,0.0003020219,0.0009592496,0.000160552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003033713,0.0004870122,0.1597691,0.00006728611,0.0001179813,0.0006424314,0.0001695735,0.8157672,0.002166026,0.0005763363,0.0003715781,0.01956202],"study_design_scores_gemma":[0.00004599265,0.0002898503,0.07229507,0.00001089518,0.00005179665,0.00007725418,0.000339231,0.9235832,0.002727685,0.0001750147,0.0003815538,0.00002251815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969295,0.00003066382,0.002166902,0.00006498486,0.000002164524,0.0000386273,0.0001246996,0.00004219549,0.0006002198],"genre_scores_gemma":[0.9968985,0.00002665472,0.002758861,0.000004875461,0.000002127213,0.00001618091,0.0001028368,0.000003669621,0.0001862826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2410744,"threshold_uncertainty_score":0.4793425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3017350530","doi":"10.3390/rs12081258","title":"Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Environmental science; Global Precipitation Measurement; Climatology; Meteorology; Quantitative precipitation estimation; Precipitation; Flash flood; Storm; Data assimilation; Flood myth; Geology; Geography","authors":[{"name":"Zhi Li","is_ca":false},{"name":"Mengye Chen","is_ca":false},{"name":"Shang Gao","is_ca":false},{"name":"Zhen Hong","is_ca":false},{"name":"Guoqiang Tang","is_ca":true},{"name":"Yixin Wen","is_ca":false},{"name":"Jonathan J. Gourley","is_ca":false},{"name":"Yang Hong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1098989412973402,"gpt":0.2784818655857837,"spread":0.1685829242884436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005453065,0.00054545,0.0003872645,0.003379729,0.0003360148,0.001281725,0.0003962889,0.000448685,0.0005039664],"category_scores_gemma":[0.01546768,0.0001581778,0.0004706534,0.001980367,0.0003908942,0.001394388,0.001445057,0.0003516702,0.0002051809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003343095,"about_ca_system_score_gemma":0.0003873963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002757336,"about_ca_topic_score_gemma":0.003614699,"domain_scores_codex":[0.9972968,0.0005895067,0.0003726547,0.0006532698,0.0009647273,0.0001230336],"domain_scores_gemma":[0.9898651,0.003570698,0.001930852,0.001319012,0.003128028,0.0001863624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002977439,0.00009161888,0.8028159,0.0002307638,0.0004818434,0.0002486838,0.001576308,0.01427421,0.01535078,0.001531797,0.001379788,0.1617206],"study_design_scores_gemma":[0.00001059259,0.0002617078,0.9032305,0.00006064065,0.0001933074,0.000479119,0.001593447,0.07531559,0.01372123,0.001517851,0.003537418,0.0000785823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479386,0.0003673895,0.04739751,0.00006399945,0.00004382167,0.00007836128,0.0008281809,0.0002364335,0.003045778],"genre_scores_gemma":[0.9868447,0.00006689459,0.0119193,0.00001767055,0.00001420517,0.00002855805,0.0008226038,0.00003322807,0.0002528575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005453065,"threshold_uncertainty_score":0.02883893,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}