{"meta":{"query_hash":"c802bb6be8c7","filters":{"venue":"Journal of Atmospheric and Oceanic Technology"},"cohort_total":239,"direct_labels_cover":0,"predictions_cover":239,"exported":239,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/c802bb6be8c7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Atmospheric+and+Oceanic+Technology"},"results":[{"id":"W1534473503","doi":"10.1175/jtech-d-15-0181.1","title":"Evaluation of Beamforming and Direction Finding for a Phased Array HF Ocean Current Radar","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Beamforming; Radar; Phased array; Antenna (radio); Computer science; Current (fluid); Acoustics; Antenna array; Sensor array; Remote sensing; Geology; Telecommunications; Physics","score_opus":0.02951228456697024,"score_gpt":0.29027512337865485,"score_spread":0.2607628388116846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534473503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8122475,0.0032615948,0.18378225,0.00030838302,0.000172501,0.00015162052,0.000007739376,0.000010372423,0.000058035686],"genre_scores_gemma":[0.983098,0.0007642992,0.01606375,0.0000036279262,0.000052790936,2.7043475e-7,5.930817e-7,0.0000032076136,0.000013502637],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990543,0.000041231076,0.00028773648,0.00011308553,0.00032781783,0.00017582858],"domain_scores_gemma":[0.99919546,0.00015799228,0.00025619403,0.00006514409,0.00026933543,0.000055888457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012795865,0.00007714449,0.00018623064,0.000041784624,0.000081252576,0.000012846321,0.00009956377,0.00007620926,0.000062039515],"category_scores_gemma":[0.00028558142,0.000047702022,0.000033294076,0.00018289183,0.00013024542,0.00016618334,0.0000059720082,0.00010892799,4.827114e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007700035,0.000021155345,0.03370227,0.00003195259,0.0000480759,7.646043e-7,0.000074539064,0.00007571692,0.02074711,0.000016948054,0.000058701236,0.9451458],"study_design_scores_gemma":[0.036826942,0.01887136,0.21966775,0.0024009438,0.0028133425,0.0029340086,0.0056590172,0.23967768,0.23810597,0.18023491,0.050880376,0.0019277167],"about_ca_topic_score_codex":0.000007255627,"about_ca_topic_score_gemma":0.000010607449,"teacher_disagreement_score":0.94321805,"about_ca_system_score_codex":0.000022544838,"about_ca_system_score_gemma":0.00011861037,"threshold_uncertainty_score":0.1945232},"labels":[],"label_agreement":null},{"id":"W1816227822","doi":"10.1175/jtech-d-15-0101.1","title":"Air Oxygen Calibration of Oxygen Optodes on a Profiling Float Array","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Optode; Environmental science; Oxygen; Oxygen sensor; Calibration; Remote sensing; Meteorology; Chemistry; Geology; Ion; Physics","score_opus":0.010758088448226868,"score_gpt":0.20210786927500168,"score_spread":0.1913497808267748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1816227822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99318933,0.0012565738,0.0020309377,0.00054998935,0.00023278288,0.00008641539,0.000004720966,0.000024506156,0.002624768],"genre_scores_gemma":[0.993316,0.00010645615,0.006291456,0.00007587312,0.00009369233,2.1414785e-7,0.0000021273484,0.0000035840812,0.000110613255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912715,0.00003374028,0.00038315752,0.00011229543,0.00018861798,0.00015504539],"domain_scores_gemma":[0.99931556,0.000034522353,0.0003437593,0.000111464135,0.00009897245,0.00009569894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029186846,0.00010265531,0.00027812165,0.00002390505,0.00003769836,0.000011913863,0.00017936865,0.0001215015,0.00006655847],"category_scores_gemma":[0.000075179094,0.00007328661,0.000046637215,0.00028171853,0.00006410382,0.00016106557,0.000015325157,0.0001789977,0.0000047380363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008887858,0.00017240422,0.7518076,0.00019074377,0.00027840055,0.00013680218,0.00064284744,0.0075888587,0.0030754688,0.0034285807,0.0028621284,0.2289274],"study_design_scores_gemma":[0.0146731725,0.043676607,0.35956973,0.0013198972,0.00065365696,0.006828608,0.03921424,0.26440594,0.07536725,0.08747753,0.10377329,0.0030400893],"about_ca_topic_score_codex":0.00008856845,"about_ca_topic_score_gemma":0.00005814154,"teacher_disagreement_score":0.39223784,"about_ca_system_score_codex":0.0000063659913,"about_ca_system_score_gemma":0.00011255929,"threshold_uncertainty_score":0.29885414},"labels":[],"label_agreement":null},{"id":"W1965569301","doi":"10.1175/jtech1964.1","title":"Turbulence Anisotropy Determined by Wind Profiler Radar and Its Correlation with Rain Events in Montreal, Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Isotropy; Turbulence; Anisotropy; Wind profiler; Meteorology; Instability; Precipitation; Atmospheric sciences; Geology; Atmosphere (unit); Physics; Radar; Environmental science; Mechanics; Optics","score_opus":0.004514593421524136,"score_gpt":0.18396118303757591,"score_spread":0.17944658961605178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965569301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627787,0.0022059528,0.0009047368,0.00029548767,0.00005802885,0.00010394033,0.0000048855936,0.00000691713,0.00014215351],"genre_scores_gemma":[0.99759,0.0001269418,0.002063501,0.00009615381,0.000015232411,8.0075985e-8,0.0000022479321,0.0000021488552,0.00010367759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920756,0.000026404097,0.0002925393,0.0001254822,0.0001437736,0.0002042673],"domain_scores_gemma":[0.999496,0.00011836061,0.00020155171,0.000052934964,0.000039237224,0.00009192515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023199532,0.00009849212,0.00020096284,0.000016447495,0.00006723543,0.0000056018966,0.00009373488,0.00009955156,0.00010362618],"category_scores_gemma":[0.00005359672,0.00006589276,0.000010374231,0.00026736045,0.000054176617,0.00012225867,0.000007986528,0.0002043984,5.994452e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002288365,0.000020022007,0.9703574,0.00000725806,0.000017905286,0.00009498464,0.00005410536,0.0011801993,0.000075764176,0.000049359613,0.00016812015,0.027746052],"study_design_scores_gemma":[0.00089433347,0.00069925183,0.9819586,0.00001847737,0.000014746434,0.00016960343,0.00022352551,0.014209571,0.000023890312,0.0012349052,0.0004490468,0.00010402357],"about_ca_topic_score_codex":0.005893587,"about_ca_topic_score_gemma":0.05584988,"teacher_disagreement_score":0.049956292,"about_ca_system_score_codex":0.000014289866,"about_ca_system_score_gemma":0.00007365765,"threshold_uncertainty_score":0.9613784},"labels":[],"label_agreement":null},{"id":"W1979514218","doi":"10.1175/jtech-d-13-00239.1","title":"An Assessment of the Impact of Antishattering Tips and Artifact Removal Techniques on Cloud Ice Size Distributions Measured by the 2D Cloud Probe","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ice crystals; Instrumentation (computer programming); Pixel; Remote sensing; Environmental science; Materials science; Meteorology; Computer science; Optics; Physics; Geology","score_opus":0.005631281465559793,"score_gpt":0.2591977379034468,"score_spread":0.253566456437887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979514218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98143625,0.00017872699,0.017111622,0.00072702504,0.00007691254,0.0001757541,0.0000072977136,0.000022827107,0.00026356184],"genre_scores_gemma":[0.991347,0.00014280602,0.008373122,0.000051458777,0.000041373194,0.000002103059,2.9221184e-7,0.000013520503,0.000028304124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870837,0.000116376075,0.00047183162,0.00018737503,0.00028769768,0.00022835484],"domain_scores_gemma":[0.9987333,0.00009726081,0.000691585,0.00036823197,0.000038590224,0.00007104151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061198807,0.00017783188,0.0003570733,0.000001042741,0.00017413196,0.000019591627,0.00045473644,0.00015581324,0.00008181183],"category_scores_gemma":[0.00011823895,0.000094890805,0.00011512579,0.00034326618,0.00069566135,0.0001059246,0.00017942069,0.00038419513,4.295106e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015317457,0.00067035604,0.51641554,0.000033881584,0.00021119474,0.0000102433,0.00027712277,0.00032514875,0.31132054,0.0016951489,0.004740263,0.1641474],"study_design_scores_gemma":[0.00090260943,0.0042968914,0.9562535,0.00016515511,0.00015746498,0.0010673162,0.0007112325,0.004731217,0.02270073,0.0050259777,0.003641233,0.0003466297],"about_ca_topic_score_codex":0.000093906056,"about_ca_topic_score_gemma":0.0000065241666,"teacher_disagreement_score":0.43983802,"about_ca_system_score_codex":0.00011294155,"about_ca_system_score_gemma":0.000037230002,"threshold_uncertainty_score":0.38695347},"labels":[],"label_agreement":null},{"id":"W1982711784","doi":"10.1175/jtech-d-13-00085.1","title":"Polarization Diversity for Millimeter Spaceborne Doppler Radars: An Answer for Observing Deep Convection?","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Japan Aerospace Exploration Agency","keywords":"Remote sensing; Doppler effect; Radar; Doppler radar; Environmental science; Pulse-Doppler radar; Meteorology; Geology; Computer science; Physics; Radar imaging; Telecommunications","score_opus":0.015794336069054008,"score_gpt":0.21067559944867303,"score_spread":0.19488126337961903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982711784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86861986,0.000801915,0.1290544,0.0010460595,0.00021361845,0.00020946741,0.0000062185686,0.000023127,0.000025339625],"genre_scores_gemma":[0.92359334,0.000082474275,0.07599654,0.00016081148,0.00008412216,8.369494e-7,0.000010227015,0.0000031754805,0.00006849157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993461,0.000023225497,0.00022967035,0.0001250668,0.00011606791,0.00015991335],"domain_scores_gemma":[0.99925923,0.000072307135,0.0002425184,0.00007679737,0.0002790118,0.000070126785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027366838,0.00008768179,0.00019053729,0.000028084944,0.00026261888,0.00004135159,0.00015464753,0.00010637511,0.00036714997],"category_scores_gemma":[0.00008777683,0.000069088775,0.00007423837,0.00022517389,0.000051855495,0.00046780697,0.000014171826,0.00008380823,0.0000032592402],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007824772,0.00003071696,0.91921955,0.000022992519,0.00016138253,9.639288e-7,0.00021687862,0.00019400664,0.000832767,0.00016682809,0.00089673285,0.07817895],"study_design_scores_gemma":[0.0020995303,0.0015324279,0.8850441,0.00002472825,0.0003331848,0.000054026325,0.0028826855,0.08430494,0.00035992631,0.01972501,0.0033431775,0.0002962562],"about_ca_topic_score_codex":0.000079450285,"about_ca_topic_score_gemma":0.00011476017,"teacher_disagreement_score":0.08411094,"about_ca_system_score_codex":0.0000074639606,"about_ca_system_score_gemma":0.000020903186,"threshold_uncertainty_score":0.40200347},"labels":[],"label_agreement":null},{"id":"W1986288626","doi":"10.1175/1520-0426(2000)017<0069:aauvft>2.0.co;2","title":"An Autonomous Underwater Vehicle for the Study of Small Lakes","year":2000,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sawtooth wave; Thermocline; Heading (navigation); Environmental science; Underwater; Geology; Altimeter; Remote sensing; Thermistor; CTD; Geodesy; Defrosting; Meteorology; Compass; Marine engineering; Computer science; Oceanography; Aerospace engineering; Telecommunications","score_opus":0.011009813463239291,"score_gpt":0.21600822229881422,"score_spread":0.20499840883557494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986288626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98725027,0.001608201,0.010589962,0.00023711107,0.000035229157,0.00016806788,7.013153e-7,0.000056070778,0.00005439424],"genre_scores_gemma":[0.9963993,0.00028682512,0.0031766593,0.000019345682,0.00003091006,0.000005304185,1.1606377e-7,0.000015714686,0.00006586323],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937457,0.000020773707,0.00036425784,0.000062537365,0.000058294965,0.00011955749],"domain_scores_gemma":[0.99952525,0.000048720423,0.000093699535,0.0002486169,0.00005561132,0.000028081147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017008567,0.000084631116,0.00020962713,0.000009484081,0.00006567582,0.000018050154,0.0003580687,0.00007940096,0.000026036189],"category_scores_gemma":[0.0000012861311,0.00005419182,0.000038732353,0.00013239944,0.000053259635,0.000063478255,0.000017071567,0.00014517918,9.763326e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015924074,0.0007385607,0.013735759,0.000088050576,0.00073531125,0.000011623313,0.005242347,0.021289391,0.017497564,0.0004896831,0.0002149191,0.9397975],"study_design_scores_gemma":[0.014205425,0.017986018,0.06218746,0.00021545563,0.00089564186,0.0013128774,0.090750694,0.51222134,0.022383453,0.0112142805,0.2653183,0.0013090482],"about_ca_topic_score_codex":0.000007823108,"about_ca_topic_score_gemma":0.00001863767,"teacher_disagreement_score":0.9384885,"about_ca_system_score_codex":0.00001727122,"about_ca_system_score_gemma":0.000011932994,"threshold_uncertainty_score":0.22098783},"labels":[],"label_agreement":null},{"id":"W1986964928","doi":"10.1175/1520-0426(2000)017<1541:mlsftb>2.0.co;2","title":"Maximum Likelihood Spectral Fitting: The Batchelor Spectrum","year":2000,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Wavenumber; Noise (video); Range (aeronautics); Function (biology); Least-squares function approximation; Spectrum (functional analysis); Statistical physics; Algorithm; Physics; Computational physics; Computer science; Applied mathematics; Mathematics; Statistics; Optics; Artificial intelligence","score_opus":0.004057187523151628,"score_gpt":0.21890006685962757,"score_spread":0.21484287933647594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986964928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98344576,0.000910756,0.0014549647,0.005779617,0.00015465259,0.00007516621,0.0000028895458,0.000019569463,0.008156644],"genre_scores_gemma":[0.9966877,0.00011275023,0.0016201215,0.0000634409,0.0002898458,0.0000012519852,4.0655266e-7,0.000009342961,0.0012151051],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989861,0.000024055447,0.00029240255,0.00014069946,0.0001937095,0.0003629966],"domain_scores_gemma":[0.99947107,0.00004479128,0.00015036046,0.000201756,0.00004084145,0.00009116421],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027009295,0.00011659696,0.00020623863,0.0000116517085,0.00017412884,0.00008886983,0.00036620972,0.000051017563,0.0027560657],"category_scores_gemma":[0.000015215058,0.000070164555,0.00010321502,0.00038984156,0.00029019077,0.00015615034,0.00005348011,0.00037974614,0.000032974167],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024900897,0.00031146163,0.085428484,0.000013750075,0.00033491646,0.00007721205,0.0006466994,0.000033466316,0.000973848,0.038265496,0.022801781,0.8508639],"study_design_scores_gemma":[0.0024337312,0.0013184937,0.04178435,0.00006646484,0.000111892405,0.00045273357,0.011281487,0.00072415895,0.008119919,0.7641632,0.1690813,0.00046229796],"about_ca_topic_score_codex":0.000016359441,"about_ca_topic_score_gemma":0.0000014863648,"teacher_disagreement_score":0.8504016,"about_ca_system_score_codex":0.000015486705,"about_ca_system_score_gemma":0.000116905394,"threshold_uncertainty_score":0.99815553},"labels":[],"label_agreement":null},{"id":"W1988704990","doi":"10.1175/2010jtecha1402.1","title":"The Effect of Radial Velocity Gridding Artifacts on Variationally Retrieved Vertical Velocities","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Interpolation (computer graphics); Spurious relationship; Linear interpolation; Radar; Simple (philosophy); Meteorology; Computer science; Radial velocity; Geology; Algorithm; Image (mathematics); Physics; Computer vision; Artificial intelligence","score_opus":0.005409742190250302,"score_gpt":0.20265963977926119,"score_spread":0.19724989758901088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988704990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975951,0.0002388624,0.00026909678,0.0008922822,0.00042505187,0.00006291457,0.000002274968,0.000012939296,0.00050151977],"genre_scores_gemma":[0.998208,0.000055311357,0.0015727404,0.00004980451,0.00009522629,1.5371283e-7,7.350696e-7,0.0000018783521,0.000016185315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991503,0.0000664045,0.00033489976,0.00008931991,0.00019119316,0.00016788703],"domain_scores_gemma":[0.9983085,0.0012917421,0.00016756337,0.000101230136,0.00006191231,0.00006907772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006367332,0.00008872915,0.00022890497,0.000010049873,0.00019672274,0.000020846752,0.00019709003,0.00015042393,0.000209608],"category_scores_gemma":[0.001120695,0.000047538397,0.00005549487,0.00022688875,0.0002891741,0.00006850868,0.000012633386,0.00045422875,0.000005287549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00171832,0.00004637536,0.6729814,0.000022938813,0.00021129203,0.000034292883,0.00015501189,0.0022845592,0.0026153598,0.029278737,0.00035452208,0.2902972],"study_design_scores_gemma":[0.0008323191,0.0031121226,0.9605238,0.000010582035,0.000046002748,0.00006220956,0.000061753904,0.011847146,0.00095973024,0.020260066,0.0021829035,0.00010138601],"about_ca_topic_score_codex":0.0000061148207,"about_ca_topic_score_gemma":0.000012189067,"teacher_disagreement_score":0.29019582,"about_ca_system_score_codex":0.0000040308178,"about_ca_system_score_gemma":0.00004533891,"threshold_uncertainty_score":0.22950606},"labels":[],"label_agreement":null},{"id":"W1990849997","doi":"10.1175/jtech-d-12-00186.1","title":"Lagrangian Detection of Wind Shear for Landing Aircraft","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Air Force; McGill University","keywords":"Turbulence; Lyapunov exponent; Lidar; Lagrangian; Wind shear; Upwelling; Meteorology; Geology; Intersection (aeronautics); Remote sensing; Computer science; Geodesy; Aerospace engineering; Physics; Nonlinear system; Wind speed; Mathematics; Applied mathematics; Engineering","score_opus":0.003108591846757885,"score_gpt":0.17705297805805054,"score_spread":0.17394438621129266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990849997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95400274,0.0016749282,0.04369072,0.0001429326,0.0002545777,0.00010334186,0.0000011770836,0.000046593334,0.00008301214],"genre_scores_gemma":[0.98961896,0.0003028432,0.009974476,0.000008971405,0.0000477809,0.000001309646,1.8163624e-7,0.00001571583,0.000029775292],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994862,0.0000033676513,0.0002637697,0.00005593644,0.000055854547,0.00013483928],"domain_scores_gemma":[0.9997125,0.000025620158,0.00008498837,0.00007262908,0.000069434696,0.000034775785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077113684,0.00008071418,0.00020412848,0.000023490244,0.000026178326,0.000008899878,0.00008705553,0.00013429466,0.000016912465],"category_scores_gemma":[0.000021029338,0.000067602225,0.000059932725,0.00016469455,0.000035658355,0.00008813315,0.000013572422,0.0001408042,0.0000015381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012225767,0.00017522404,0.017962685,0.0007605648,0.0008975529,0.000028803235,0.00049286237,0.030906964,0.41437426,0.0069616567,0.0030316734,0.5242855],"study_design_scores_gemma":[0.0021990517,0.0012873589,0.018395131,0.00013820511,0.0001266685,0.00043535835,0.00041435618,0.94917226,0.0084028095,0.008386469,0.010706949,0.00033536478],"about_ca_topic_score_codex":0.0000034344148,"about_ca_topic_score_gemma":0.000001248829,"teacher_disagreement_score":0.91826534,"about_ca_system_score_codex":0.000024535044,"about_ca_system_score_gemma":0.000007875439,"threshold_uncertainty_score":0.27567387},"labels":[],"label_agreement":null},{"id":"W1992577591","doi":"10.1175/jtech-d-12-00105.1","title":"High-Frequency Radars: Beamforming Calibrations Using Ships as Reflectors*","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Azimuth; Beamforming; Antenna (radio); Calibration; Beam (structure); Acoustics; Phased array; Beam steering; Aperture (computer memory); Antenna array; Radar; Optics; Remote sensing; Geology; Computer science; Amplitude; Phase (matter); Physics; Telecommunications","score_opus":0.020701310987570963,"score_gpt":0.2612637181050933,"score_spread":0.24056240711752233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992577591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95757604,0.0026020445,0.038613997,0.00044780338,0.00031826354,0.00006628549,0.0000037789243,0.000032494594,0.00033926786],"genre_scores_gemma":[0.8436714,0.0001798173,0.15586324,0.00006080167,0.00017882648,8.294333e-8,0.0000011478901,0.000005664617,0.000039067498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987916,0.00004478608,0.0003653884,0.00010827611,0.00025661272,0.00043338517],"domain_scores_gemma":[0.99930435,0.000088331006,0.00021058932,0.0001342857,0.00008248354,0.00017994236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003881668,0.00012038937,0.00023452511,0.00004561411,0.00018875797,0.000044291945,0.0002513316,0.00017281807,0.0005484415],"category_scores_gemma":[0.00012809325,0.000091510956,0.00004275579,0.00051882636,0.00017567443,0.000561675,0.000029790539,0.00044127787,0.00001774319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008853821,0.000115637726,0.9274956,0.00005527265,0.0002240607,0.00016254556,0.0006651734,0.004340788,0.012278298,0.003570929,0.00037523312,0.05062793],"study_design_scores_gemma":[0.008104875,0.009623154,0.3453836,0.0006957094,0.0012748624,0.04350988,0.017984422,0.21153419,0.030632148,0.3037925,0.02364775,0.0038168847],"about_ca_topic_score_codex":0.00024326354,"about_ca_topic_score_gemma":0.000034637593,"teacher_disagreement_score":0.58211195,"about_ca_system_score_codex":0.000026131076,"about_ca_system_score_gemma":0.00016592573,"threshold_uncertainty_score":0.600505},"labels":[],"label_agreement":null},{"id":"W1996367659","doi":"10.1175/2009jtecha1332.1","title":"PARSIVEL Snow Observations: A Critical Assessment","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":317,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Snowflake; Snow; Disdrometer; Cloud physics; Meteorology; Lidar; Environmental science; Remote sensing; Satellite; Precipitation; Particle (ecology); Atmospheric sciences; Physics; Computer science; Geology; Cloud computing","score_opus":0.008656422478266267,"score_gpt":0.25598833756012657,"score_spread":0.2473319150818603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996367659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573092,0.000608849,0.0306965,0.009697682,0.00014292111,0.00007792756,5.2531766e-7,0.000041071085,0.0014253389],"genre_scores_gemma":[0.86671615,0.00026255482,0.1320368,0.00080171094,0.000043665397,0.000001110191,1.3278415e-7,0.0000071633262,0.00013068541],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989085,0.000022254197,0.0003979378,0.00017343015,0.0002376726,0.00026019485],"domain_scores_gemma":[0.9994067,0.00006719488,0.0002146514,0.00016373738,0.000036673227,0.00011102559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018659838,0.00013830251,0.00026838644,0.0000010976232,0.0001276764,0.00002185289,0.00026858074,0.00015954943,0.0005155423],"category_scores_gemma":[0.00017167354,0.000109548346,0.00006766209,0.00041243865,0.00030444414,0.00021272548,0.00008862844,0.00033126125,0.000012147658],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008595493,0.00087464345,0.4238556,0.0000134244565,0.000085272,0.00035481763,0.0003626941,0.00027545157,0.010192457,0.05445749,0.020685192,0.488757],"study_design_scores_gemma":[0.0008285808,0.0019321201,0.89260226,0.000051502626,0.000081205384,0.00078032154,0.0010621583,0.002701676,0.00017747215,0.08224477,0.017241651,0.00029628302],"about_ca_topic_score_codex":0.0000039077117,"about_ca_topic_score_gemma":9.429056e-7,"teacher_disagreement_score":0.48846072,"about_ca_system_score_codex":0.00010911112,"about_ca_system_score_gemma":0.000036900383,"threshold_uncertainty_score":0.5644827},"labels":[],"label_agreement":null},{"id":"W1996776821","doi":"10.1175/2007jtecha957.1","title":"Performance of the Precipitation Occurrence Sensor System as a Precipitation Gauge","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Environmental science; Radar; Quantitative precipitation estimation; Interquartile range; Range (aeronautics); Meteorology; Atmospheric sciences; Materials science; Geology; Computer science; Physics; Mathematics; Statistics","score_opus":0.010466516170168475,"score_gpt":0.1958587229441809,"score_spread":0.18539220677401244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996776821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977703,0.0009978744,0.00021142904,0.00021512431,0.00023575724,0.00008232575,0.000007280104,0.000017594117,0.00046232514],"genre_scores_gemma":[0.996864,0.00045661884,0.002557539,0.000020756474,0.000031904136,3.0811435e-7,0.0000016084505,0.0000017473524,0.000065507906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896985,0.00006503769,0.0004265177,0.00010380469,0.00030767045,0.0001271178],"domain_scores_gemma":[0.9989195,0.00007114689,0.0006141062,0.000118874916,0.00023585263,0.000040531988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003035885,0.000092368035,0.0002170444,0.000030236886,0.00015332889,0.000007967229,0.0002199249,0.00008384944,0.00007458117],"category_scores_gemma":[0.00013912722,0.000059275244,0.00007453488,0.00058548327,0.0001695879,0.00021722293,0.000010525144,0.00016153436,0.000009487424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070081805,0.000017873108,0.97372866,0.000054739212,0.00005772607,0.000004689992,0.0004720256,0.0008030006,0.00038720062,0.00013804607,0.0002165829,0.024049357],"study_design_scores_gemma":[0.0004956531,0.00064463523,0.9799025,0.00014274885,0.00010169998,0.00046410976,0.0017465801,0.014785349,0.000958662,0.00020760913,0.00043320298,0.00011725206],"about_ca_topic_score_codex":0.000014853005,"about_ca_topic_score_gemma":0.000010685693,"teacher_disagreement_score":0.023932105,"about_ca_system_score_codex":0.000010623037,"about_ca_system_score_gemma":0.0000945939,"threshold_uncertainty_score":0.24171743},"labels":[],"label_agreement":null},{"id":"W1999125535","doi":"10.1175/2007jtecha982.1","title":"Penalized Maximal F Test for Detecting Undocumented Mean Shift without Trend Change","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":350,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Series (stratigraphy); Mathematics; Statistics; Confidence interval; False alarm; Geology","score_opus":0.03722101966189688,"score_gpt":0.23414392865981085,"score_spread":0.19692290899791398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999125535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710304,0.0069988454,0.02000061,0.001243577,0.00020622989,0.00016421804,0.000052686984,0.00004590628,0.0002575395],"genre_scores_gemma":[0.9881747,0.001389457,0.009952439,0.00013638771,0.00016247312,0.0000075069984,0.000003527715,0.000020333144,0.00015318998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987667,0.000007471702,0.0006968562,0.00022664336,0.000039340906,0.0002629881],"domain_scores_gemma":[0.99880975,0.0000835306,0.0008121515,0.00017688712,0.00004245185,0.000075200616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029053199,0.00015371872,0.00061231654,0.00006857035,0.00016810413,0.000022971877,0.00024281131,0.00015405634,0.0001437219],"category_scores_gemma":[0.000216905,0.00014210516,0.00015571741,0.00045467247,0.000115959236,0.00022658582,0.000056837605,0.00020420543,0.000010106077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003522072,0.00032306177,0.94207996,0.00007635954,0.0006970382,0.00013027317,0.0013179983,0.000011214034,0.00021975074,0.016607808,0.0009603305,0.037224025],"study_design_scores_gemma":[0.027249401,0.010617937,0.4079758,0.00030954665,0.00094555266,0.0061406926,0.0033095982,0.041927613,0.0015779978,0.18634228,0.31062993,0.0029736296],"about_ca_topic_score_codex":0.00008202729,"about_ca_topic_score_gemma":0.000050071587,"teacher_disagreement_score":0.53410417,"about_ca_system_score_codex":0.000047586596,"about_ca_system_score_gemma":0.000017267892,"threshold_uncertainty_score":0.57948804},"labels":[],"label_agreement":null},{"id":"W1999431623","doi":"10.1175/1520-0426(2000)017<0688:vbtfmt>2.0.co;2","title":"Vibration-Based Techniques for Measuring the Elastic Properties of Ropes and the Added Mass of Submerged Objects","year":2000,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Added mass; Mooring; Oscillation (cell signaling); Buoyancy; Spring (device); Rope; Mechanics; Tension (geology); Vibration; Physics; Acoustics; Marine engineering; Structural engineering; Classical mechanics; Engineering; Chemistry","score_opus":0.007868649470384603,"score_gpt":0.17418587222880996,"score_spread":0.16631722275842536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999431623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94285274,0.01104673,0.044744816,0.0008457497,0.000026450934,0.0003130976,0.0000011072987,0.00005954541,0.00010978152],"genre_scores_gemma":[0.9924716,0.0010002565,0.0064552967,0.000017173037,0.00001612779,0.000011706705,6.9935474e-8,0.000011485245,0.000016317681],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993445,0.000039213457,0.00039762646,0.000047105972,0.00008375167,0.000087754386],"domain_scores_gemma":[0.9994866,0.00007015288,0.00017234642,0.00015626494,0.00010065196,0.000013945321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003015358,0.00008057866,0.00024734784,0.000011565159,0.000064009626,0.000012178681,0.00022114797,0.00007122291,0.000005823674],"category_scores_gemma":[0.000015426629,0.00004132017,0.000048561196,0.00014850897,0.0002209701,0.00005326725,0.000012225989,0.00012663806,8.66098e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013617316,0.00013326849,0.0023560592,0.0011435616,0.00093670224,0.0000026332177,0.0038177902,0.007937748,0.6900955,0.0030900468,0.00021993527,0.28890505],"study_design_scores_gemma":[0.0035311603,0.00075430237,0.0011503629,0.00071942137,0.00024568333,0.0001347138,0.0039470205,0.0963257,0.8822702,0.005011174,0.005624389,0.00028587016],"about_ca_topic_score_codex":0.0000048142724,"about_ca_topic_score_gemma":0.0000031063246,"teacher_disagreement_score":0.2886192,"about_ca_system_score_codex":0.000010134065,"about_ca_system_score_gemma":0.000022592047,"threshold_uncertainty_score":0.16849877},"labels":[],"label_agreement":null},{"id":"W2000142235","doi":"10.1175/jtech-d-10-05050.1","title":"Atmospheric Temperature and Absolute Humidity Profiles over the Beaufort Sea and Amundsen Gulf from a Microwave Radiometer","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radiosonde; Environmental science; Sea ice; Humidity; Radiometer; Atmospheric sciences; Climatology; Arctic; Microwave radiometer; Relative humidity; Depth sounding; Meteorology; Oceanography; Geology; Remote sensing; Geography","score_opus":0.005114979237387041,"score_gpt":0.191023551225413,"score_spread":0.18590857198802596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000142235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98420733,0.0139466,0.0002931297,0.0009938919,0.00029640523,0.000121113335,0.000021810098,0.000022075497,0.00009763286],"genre_scores_gemma":[0.9815761,0.0031647878,0.014496963,0.00040166758,0.00026379043,4.2333625e-7,0.000005125833,0.000008294731,0.000082856066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988751,0.00004937099,0.00033830226,0.00018402391,0.00017440028,0.00037880495],"domain_scores_gemma":[0.9991651,0.00017302207,0.00029063338,0.00016829827,0.00004826864,0.00015467127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033043485,0.000208595,0.00035712554,0.000008113809,0.00026462963,0.00006226207,0.00020426966,0.00024565557,0.00021306387],"category_scores_gemma":[0.000054410066,0.00012457128,0.00005749152,0.00028224278,0.0005163598,0.00033632418,0.00006659905,0.0005409317,0.0000032935984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006877846,0.000025420872,0.95467126,0.000022673019,0.00016099858,0.000026675309,0.0005731882,0.000006859239,0.0003048391,0.00013995454,0.00092875893,0.04307059],"study_design_scores_gemma":[0.000568304,0.00030252515,0.9853588,0.00003993523,0.00015440802,0.0013533857,0.002190737,0.0017436334,0.00004800232,0.00225999,0.0057655293,0.00021478794],"about_ca_topic_score_codex":0.00017674871,"about_ca_topic_score_gemma":0.000057006826,"teacher_disagreement_score":0.0428558,"about_ca_system_score_codex":0.000010800224,"about_ca_system_score_gemma":0.00004828858,"threshold_uncertainty_score":0.50798696},"labels":[],"label_agreement":null},{"id":"W2001544385","doi":"10.1175/jtech-d-11-00088.1","title":"Toward Automated Identification of Sea Surface Temperature Front Signatures in Radarsat-2 Images","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Sea surface temperature; Synthetic aperture radar; Computer science; Identification (biology); Feature (linguistics); Front (military); Remote sensing; Cloud computing; Signature (topology); Support vector machine; Meteorology; Artificial intelligence; Pattern recognition (psychology); Geology; Climatology; Geography; Mathematics","score_opus":0.007316095035408868,"score_gpt":0.1967504869943774,"score_spread":0.18943439195896852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001544385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98121643,0.017686894,0.00026749205,0.00020238906,0.00019666491,0.00008483008,0.000010761115,0.000079328835,0.0002552252],"genre_scores_gemma":[0.9759029,0.001910733,0.022069184,0.00003914725,0.000020336993,6.517322e-8,0.0000016271985,0.000005409557,0.0000506087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872243,0.000043171716,0.00062997965,0.00018031664,0.00019648693,0.00022759246],"domain_scores_gemma":[0.99902993,0.00004910732,0.00056816085,0.00013628352,0.00015080693,0.000065703156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033688883,0.00016105974,0.00039256524,0.000021850365,0.000048933303,0.000017586908,0.00034698876,0.0002598712,0.0002594861],"category_scores_gemma":[0.00008430856,0.00011977841,0.00006371375,0.00070173375,0.00026370087,0.00028310381,0.000019308474,0.0003689597,0.0000025912507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019921824,0.00011514077,0.9675398,0.00011940258,0.00010340347,0.00017520072,0.00072415825,0.00062064274,0.002172502,0.00010583707,0.0015200122,0.0266047],"study_design_scores_gemma":[0.00084304763,0.00067386514,0.974154,0.00011548242,0.00006523818,0.00025838157,0.0029141866,0.0060083293,0.01089841,0.0033895725,0.0004228386,0.000256658],"about_ca_topic_score_codex":0.0001671711,"about_ca_topic_score_gemma":0.000035300596,"teacher_disagreement_score":0.026348043,"about_ca_system_score_codex":0.0000059408835,"about_ca_system_score_gemma":0.00010302827,"threshold_uncertainty_score":0.48844218},"labels":[],"label_agreement":null},{"id":"W2002371840","doi":"10.1175/jtech1936.1","title":"Nonintrusive Measurement of Ocean Waves: Lidar Wave Gauge","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Remote sensing; Environmental science; Elevation (ballistics); Gauge (firearms); Ground truth; Meteorology; Hydrology (agriculture); Geology; Engineering; Geotechnical engineering; Physics; Geography; Computer science","score_opus":0.006219744937240821,"score_gpt":0.17235911019920136,"score_spread":0.16613936526196055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002371840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991333,0.0057574064,0.0003678227,0.00052334816,0.00029062523,0.00007270233,0.000005413306,0.000021120366,0.001628578],"genre_scores_gemma":[0.98463184,0.0004115853,0.01468047,0.000046270186,0.00015536248,1.2686231e-9,0.0000011621668,0.000006184052,0.00006714224],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986089,0.00003167285,0.0005823319,0.00015422364,0.00034726475,0.00027563213],"domain_scores_gemma":[0.99893314,0.000040521478,0.0005639494,0.0001430592,0.00024420512,0.000075150296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034341527,0.00016002139,0.0004078047,0.000036769936,0.00008796445,0.000018407334,0.00015683979,0.00016973948,0.0001259796],"category_scores_gemma":[0.000054311335,0.000114015726,0.000105960266,0.00035702635,0.00026471872,0.000105922765,0.000020314996,0.00027737473,0.0000037372197],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064152846,0.00039809613,0.28806803,0.00032641314,0.00072546396,0.0015918491,0.0007984573,0.0021022242,0.0056983507,0.006251921,0.008377535,0.68502015],"study_design_scores_gemma":[0.004759805,0.0059796292,0.8448654,0.00079863594,0.0005378444,0.008818435,0.008208588,0.027446108,0.010880503,0.058004946,0.028479556,0.0012205846],"about_ca_topic_score_codex":0.00012091942,"about_ca_topic_score_gemma":0.00003469557,"teacher_disagreement_score":0.68379956,"about_ca_system_score_codex":0.000014693627,"about_ca_system_score_gemma":0.000099278426,"threshold_uncertainty_score":0.46494263},"labels":[],"label_agreement":null},{"id":"W2007612631","doi":"10.1175/jtech-d-11-00178.1","title":"Application of Artificial Neural Networks on North Atlantic Tropical Cyclogenesis Potential Index in Climate Change","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tropical cyclone; Climatology; Atlantic hurricane; Cyclogenesis; Climate change; Structural basin; Environmental science; Tropical Atlantic; GCM transcription factors; Tropical cyclogenesis; Oceanography; Geology; Cyclone (programming language); General Circulation Model; Sea surface temperature; Computer science","score_opus":0.01100920695065276,"score_gpt":0.2227775923012225,"score_spread":0.21176838535056972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007612631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425936,0.0012880099,0.0037241275,0.00044775542,0.00015616161,0.00010070552,0.0000024219735,0.0000115451485,0.00000989652],"genre_scores_gemma":[0.99850035,0.00061018526,0.0004974053,0.000055429922,0.0003295198,8.6111544e-7,0.0000020799273,0.000003562588,6.018074e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988129,0.000052591135,0.00041365792,0.00012093638,0.0002000269,0.00039990197],"domain_scores_gemma":[0.99950266,0.000054703698,0.00018495531,0.00009872598,0.000035910547,0.00012306853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091066984,0.00010726582,0.0002918822,0.000037229183,0.000050667488,0.000009313089,0.00018258832,0.00017536424,0.000058451533],"category_scores_gemma":[0.00002674221,0.000075818934,0.00006209727,0.00045566182,0.0001565803,0.00012064862,0.000025611214,0.00037658087,0.0000050811086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024516275,0.000063670675,0.80225986,0.000010396899,0.000008047405,0.00001579006,0.0000107045735,0.00091328536,0.00002048051,0.00033469746,0.000003646174,0.19611426],"study_design_scores_gemma":[0.00025050686,0.00049754145,0.9336197,0.000008084951,0.000012872786,0.0000840158,0.000046357673,0.06507556,0.0000064097403,0.00024315192,0.0000866651,0.00006912626],"about_ca_topic_score_codex":0.00017773162,"about_ca_topic_score_gemma":0.00034247895,"teacher_disagreement_score":0.19604513,"about_ca_system_score_codex":0.000007037372,"about_ca_system_score_gemma":0.000009444221,"threshold_uncertainty_score":0.30918065},"labels":[],"label_agreement":null},{"id":"W2007924705","doi":"10.1175/jtech-d-12-00109.1","title":"The Response of the Dines Anemometer to Gusts and Comparisons with Cup Anemometers","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Anemometer; Wind speed; Meteorology; Environmental science; Wind gradient; Wind direction; Physics","score_opus":0.00525880760832163,"score_gpt":0.19575220506415575,"score_spread":0.19049339745583413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007924705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98594093,0.0013483847,0.00020534,0.012286601,0.000063837375,0.00011706529,0.0000015644517,0.0000067149863,0.000029572957],"genre_scores_gemma":[0.9956232,0.00019719641,0.0039434927,0.00011297859,0.000020345295,4.6309555e-7,6.119441e-8,0.0000023206778,0.00009999914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916357,0.00007863771,0.00024177332,0.000099352445,0.00019673303,0.00021993172],"domain_scores_gemma":[0.99918854,0.00034000783,0.00012434763,0.0001461642,0.00008837952,0.00011253631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001587975,0.00008724768,0.00020037244,0.000015353702,0.00017161269,0.00004238746,0.0003134609,0.000067639514,0.00008361251],"category_scores_gemma":[0.00015458876,0.000034586414,0.00003403023,0.0004670267,0.0004982182,0.00007972154,0.000047638187,0.00025561653,0.000004932647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004722196,0.000013757256,0.9319743,0.000008209169,0.000032273736,0.000008422762,0.00005077312,0.000028536639,0.00044879192,0.00007796139,0.0011282811,0.065756485],"study_design_scores_gemma":[0.0002519623,0.0013163247,0.99178743,0.00001775968,0.0000122206575,0.0002442959,0.0005610668,0.00030044065,0.0001103867,0.0005037885,0.004840229,0.000054069624],"about_ca_topic_score_codex":0.00016659767,"about_ca_topic_score_gemma":0.00014768112,"teacher_disagreement_score":0.065702416,"about_ca_system_score_codex":0.0000031422574,"about_ca_system_score_gemma":0.000032721622,"threshold_uncertainty_score":0.18357058},"labels":[],"label_agreement":null},{"id":"W2008446409","doi":"10.1175/jtech-d-14-00191.1","title":"High-Resolution Spectral Estimation of HF Radar Data for Current Measurement Applications","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Radar; Remote sensing; Autoregressive model; Discriminator; Environmental science; Geology; Telecommunications; Statistics; Mathematics","score_opus":0.05629506073522735,"score_gpt":0.28469136436322845,"score_spread":0.2283963036280011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008446409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04924454,0.0045098034,0.9451925,0.0005715189,0.00016020372,0.00023680208,0.000043485215,0.00001531089,0.000025839672],"genre_scores_gemma":[0.81705123,0.0002442354,0.1826087,0.000004725389,0.000067192945,6.482112e-7,0.000016378299,0.0000024129456,0.00000447836],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990232,0.000021213036,0.0003257417,0.00012479315,0.00034261544,0.00016244077],"domain_scores_gemma":[0.9991459,0.00003843006,0.00024203083,0.00021754867,0.0002727732,0.0000832958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075042964,0.000069656555,0.0001793428,0.000025269264,0.00005000269,0.000014700044,0.00037178482,0.00006461253,0.000020307556],"category_scores_gemma":[0.0001471353,0.000053870226,0.00002118185,0.00023389216,0.000118053,0.00015545133,0.000034839974,0.0001547163,0.000002733186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002448212,0.00015830515,0.009633045,0.0001332837,0.00011885385,0.000004400857,0.00007364045,0.04777036,0.0004113046,0.00095174665,0.0053218906,0.93517834],"study_design_scores_gemma":[0.0020920546,0.0017694469,0.011958649,0.000066774075,0.0001666945,0.00019326624,0.00056440337,0.9130812,0.0007821636,0.05193871,0.017182937,0.00020369966],"about_ca_topic_score_codex":0.00003960453,"about_ca_topic_score_gemma":0.000037997543,"teacher_disagreement_score":0.9349747,"about_ca_system_score_codex":0.000025983069,"about_ca_system_score_gemma":0.00022263586,"threshold_uncertainty_score":0.21967642},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0418292126744678,"score_gpt":0.2830070461496829,"score_spread":0.24117783347521513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010410731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9225602,0.0028255552,0.07087842,0.003369692,0.000109631575,0.000092888564,0.0000026365115,0.000024077935,0.00013686372],"genre_scores_gemma":[0.8847781,0.0003332977,0.11445005,0.00033471998,0.000050428,1.6782379e-7,0.0000010359342,0.0000035532885,0.000048681362],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99869186,0.00021918103,0.00042904832,0.00022461226,0.00017370086,0.00026159335],"domain_scores_gemma":[0.9990529,0.00024623994,0.0003212844,0.00012367216,0.00011058168,0.00014535204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009435606,0.00015611811,0.00042723902,0.00009382886,0.0001910867,0.000037192378,0.00015187432,0.0001438171,0.00021875375],"category_scores_gemma":[0.00044243032,0.00012306146,0.000078371944,0.00074327027,0.00011354987,0.00026303937,0.000015837344,0.00026432337,0.0000045252987],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002569819,0.00024217037,0.23067644,0.00005733692,0.0012652427,0.00038340478,0.002768431,0.004107485,0.16730118,0.0015372912,0.0015042953,0.5875869],"study_design_scores_gemma":[0.0051968847,0.01523974,0.87408835,0.00043740246,0.0018759434,0.002987432,0.0043687723,0.0148020545,0.01116087,0.060990207,0.007283131,0.001569243],"about_ca_topic_score_codex":0.000022329446,"about_ca_topic_score_gemma":0.000053768563,"teacher_disagreement_score":0.6434119,"about_ca_system_score_codex":0.000019652132,"about_ca_system_score_gemma":0.00006878763,"threshold_uncertainty_score":0.50183004},"labels":[],"label_agreement":null},{"id":"W2013406015","doi":"10.1175/1520-0426(2001)018<0649:otftps>2.0.co;2","title":"Ocean Tides from TOPEX/Poseidon Sea Level Data","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Altimeter; Geology; Pelagic zone; Oceanography; Sea level; Ocean tide; Pacific ocean; Climatology; Geodesy","score_opus":0.025724965158523506,"score_gpt":0.22421660545891448,"score_spread":0.19849164030039096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013406015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97392815,0.019803958,0.003042947,0.0015996135,0.00038635154,0.000069620124,0.00008478217,0.00008088146,0.0010036654],"genre_scores_gemma":[0.9631274,0.0073232665,0.02873816,0.00034695116,0.00025324605,2.9961303e-8,0.000027858641,0.000009103032,0.00017398444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998393,0.00003522952,0.00058668666,0.0003397586,0.00027499787,0.00037032738],"domain_scores_gemma":[0.9986649,0.00014315282,0.0004634861,0.00045004714,0.00011021521,0.00016815873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033618798,0.00022697951,0.00044602857,0.000016424094,0.00016655844,0.00006410123,0.001059859,0.00022221556,0.00083555287],"category_scores_gemma":[0.00016114165,0.00016869388,0.0000629939,0.00083150924,0.00029809607,0.0005862992,0.0001068377,0.00042413583,0.000021694677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080534744,0.000035675967,0.76615024,0.000010070411,0.00009842372,0.00020102409,0.00004195641,0.00006590916,0.000013054701,0.00007000633,0.0041432073,0.22908993],"study_design_scores_gemma":[0.0018998056,0.0013037438,0.76366794,0.00016995949,0.000273717,0.002420869,0.0029495724,0.017346002,0.00013227707,0.02170798,0.18740238,0.0007257197],"about_ca_topic_score_codex":0.0003479104,"about_ca_topic_score_gemma":0.00012500309,"teacher_disagreement_score":0.22836421,"about_ca_system_score_codex":0.0000056647877,"about_ca_system_score_gemma":0.00013155927,"threshold_uncertainty_score":0.9148718},"labels":[],"label_agreement":null},{"id":"W2014066303","doi":"10.1175/2008jtecha1214.1","title":"A Variational Method for Computation of Sensible Heat Flux over the Arctic Sea Ice","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sensible heat; Computation; Sea ice; Heat flux; Arctic; Arctic ice pack; Environmental science; Meteorology; Climatology; Flux (metallurgy); Atmospheric sciences; Geology; Heat transfer; Mechanics; Physics; Mathematics; Algorithm; Materials science; Oceanography","score_opus":0.012806691500870123,"score_gpt":0.25386280597581623,"score_spread":0.2410561144749461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014066303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.706137,0.00010656979,0.2923313,0.0011633188,0.0000601579,0.00010122929,0.0000021040323,0.000008099286,0.000090224],"genre_scores_gemma":[0.83906716,0.000059658178,0.16067411,0.00014460283,0.00001910411,0.0000011954193,4.5189418e-7,0.0000048370266,0.000028870902],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993072,0.000037594164,0.00029445623,0.00010320054,0.00014199315,0.00011555244],"domain_scores_gemma":[0.99941957,0.00023041303,0.00018915845,0.00008923425,0.000044006727,0.000027634238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042872966,0.00006880473,0.0001807167,0.0000063556454,0.00010805524,0.000003935208,0.00011064876,0.00009076812,0.00010286791],"category_scores_gemma":[0.000109869776,0.00004700317,0.00005940812,0.00023730569,0.00019809959,0.00009191886,0.00006389454,0.00012928295,0.0000015360819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010330777,0.0015185642,0.4938512,0.00032256043,0.000661775,0.000060462764,0.004354361,0.3327825,0.059212193,0.041449357,0.012960715,0.05179322],"study_design_scores_gemma":[0.0019895388,0.0009571932,0.19711468,0.000039744722,0.0001499167,0.0018477123,0.00046634124,0.71573776,0.0009338002,0.07654788,0.0040187044,0.00019670933],"about_ca_topic_score_codex":0.000054281052,"about_ca_topic_score_gemma":0.0000054600737,"teacher_disagreement_score":0.38295528,"about_ca_system_score_codex":0.00006142352,"about_ca_system_score_gemma":0.000031129286,"threshold_uncertainty_score":0.19167337},"labels":[],"label_agreement":null},{"id":"W2016233014","doi":"10.1175/2010jtecho772.1","title":"Ice-Tethered Profiler Measurements of Dissolved Oxygen under Permanent Ice Cover in the Arctic Ocean","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Polar Programs; Fisheries and Oceans Canada; Division of Arctic Sciences; Japan Agency for Marine-Earth Science and Technology; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Sea ice; Water column; Oceanography; Arctic ice pack; Arctic; Environmental science; Biogeochemical cycle; Sea ice thickness; Drift ice; Salinity; Ocean current; Geology; Climatology; Chemistry","score_opus":0.011174708858388597,"score_gpt":0.214839550271267,"score_spread":0.2036648414128784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016233014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668705,0.0003569104,0.00022856992,0.0016960485,0.00030226068,0.00013424242,0.0000036851197,0.000009502055,0.0005817296],"genre_scores_gemma":[0.9962092,0.00014301782,0.0032261894,0.00028824454,0.000055111483,2.025772e-7,0.0000021057763,0.0000053494928,0.00007056241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987618,0.00006140907,0.00045264547,0.00014178733,0.00032222594,0.00026014177],"domain_scores_gemma":[0.9991333,0.00011511683,0.00038616254,0.00019700568,0.000109763605,0.000058655914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064214587,0.00014315394,0.00028556297,0.000023460034,0.00008388724,0.000017555149,0.00043326677,0.00016557473,0.00040871275],"category_scores_gemma":[0.00010594767,0.00008714871,0.00006939923,0.00033043508,0.0002842275,0.0001445194,0.00002416272,0.0006319647,0.000007554111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011326185,0.00010545883,0.98902303,0.00004256638,0.00008602571,0.000032742646,0.0006518995,0.0002117977,0.0006409047,0.000439127,0.00020885805,0.008444307],"study_design_scores_gemma":[0.0010199405,0.00050734874,0.98424476,0.00005959766,0.0000938789,0.000633838,0.004715219,0.0022958724,0.00007366707,0.0051072417,0.0010766847,0.00017195745],"about_ca_topic_score_codex":0.000114621565,"about_ca_topic_score_gemma":0.00011789951,"teacher_disagreement_score":0.00827235,"about_ca_system_score_codex":0.000009296024,"about_ca_system_score_gemma":0.00009240667,"threshold_uncertainty_score":0.4475118},"labels":[],"label_agreement":null},{"id":"W2016908308","doi":"10.1175/jtech-d-14-00100.1","title":"Numerical Simulation of Terrestrial Radiation over a Snow Cover","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université de Montréal","funders":"","keywords":"Water content; Emissivity; Snow cover; Detector; Environmental science; Snow; Remote sensing; Radiation; Moisture; Soil science; Meteorology; Physics; Geology; Optics; Geotechnical engineering","score_opus":0.00498853752888134,"score_gpt":0.234282184535429,"score_spread":0.22929364700654767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016908308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9193082,0.00010863433,0.079743095,0.00025060613,0.00024277752,0.00005436422,8.4101805e-7,0.000035421253,0.00025608292],"genre_scores_gemma":[0.9985008,0.000015955962,0.001268745,0.000019550724,0.00015134133,6.348893e-7,2.0255497e-7,0.0000073486913,0.000035372348],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992582,0.000026279007,0.0003935803,0.000094946074,0.00012084382,0.00010613238],"domain_scores_gemma":[0.9991372,0.0001010665,0.00055557216,0.00011723285,0.000056131554,0.000032767977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013457703,0.00009006436,0.000257957,0.00003598229,0.000041863106,0.000012752043,0.00011152146,0.00011732589,0.00014373269],"category_scores_gemma":[0.00012208628,0.00007449838,0.00007902081,0.0003172365,0.00008266056,0.00011781323,0.000019792886,0.00018628931,0.0000029318262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015198128,0.00012838094,0.21250862,0.000009746418,0.00017178318,0.0000013569787,0.00010700599,0.056803428,0.00078802375,0.010092543,0.0011270487,0.7181101],"study_design_scores_gemma":[0.005313489,0.0017768346,0.10344786,0.00006621357,0.00013540131,0.00003575276,0.00061242515,0.7784692,0.007353571,0.025392517,0.07697324,0.00042351184],"about_ca_topic_score_codex":0.000004564473,"about_ca_topic_score_gemma":5.6307204e-8,"teacher_disagreement_score":0.72166574,"about_ca_system_score_codex":0.000018907858,"about_ca_system_score_gemma":0.00002897525,"threshold_uncertainty_score":0.30379558},"labels":[],"label_agreement":null},{"id":"W2018062428","doi":"10.1175/jtech-d-13-00194.1","title":"On the Challenges of Tomography Retrievals of a 2D Water Vapor Field Using Ground-Based Microwave Radiometers: An Observation System Simulation Experiment","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Remote sensing; Lidar; Water vapor; Environmental science; A priori and a posteriori; Microwave radiometer; Microwave; Field (mathematics); Planetary boundary layer; Radiometer; Elevation (ballistics); Meteorology; Computer science; Turbulence; Geology; Physics; Mathematics","score_opus":0.02059402000083101,"score_gpt":0.2296966736840588,"score_spread":0.20910265368322778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018062428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9364578,0.0007936352,0.062389992,0.00010503288,0.00011833392,0.000055903507,3.4592068e-7,0.00002866785,0.000050298804],"genre_scores_gemma":[0.99561715,0.000030063655,0.0043027354,0.000017280594,0.000021593996,7.5595136e-7,2.4225162e-7,0.000009509469,6.472337e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934614,0.000038371974,0.00034723428,0.00007074401,0.00010078951,0.000096731725],"domain_scores_gemma":[0.9994325,0.00011640928,0.00018504051,0.0001437393,0.000102746024,0.000019560448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023938942,0.00008881705,0.00022048868,0.00003648724,0.000029206709,0.000008363606,0.0001135047,0.00011727115,0.000003529514],"category_scores_gemma":[0.00003350188,0.00005679423,0.000053815787,0.00014559539,0.000045296896,0.00007470773,0.00000944739,0.00012412926,1.3108719e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003450812,0.00021137668,0.0010210769,0.0006268584,0.00035680828,0.000005234458,0.0022921881,0.107120335,0.83850324,0.025297476,0.000040193838,0.024180148],"study_design_scores_gemma":[0.00058742356,0.0025916141,0.0011734735,0.00065177353,0.000068037836,0.000038532777,0.0014924024,0.3953078,0.5966528,0.0012743842,0.00003190126,0.00012985649],"about_ca_topic_score_codex":0.0000033048684,"about_ca_topic_score_gemma":2.3922217e-7,"teacher_disagreement_score":0.28818747,"about_ca_system_score_codex":0.00003452923,"about_ca_system_score_gemma":0.0000065646377,"threshold_uncertainty_score":0.23160015},"labels":[],"label_agreement":null},{"id":"W2018504765","doi":"10.1175/jtech-d-11-00168.1","title":"SeaCycler: A Moored Open-Ocean Profiling System for the Upper Ocean in Extended Self-Contained Deployments","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"Natural Environment Research Council; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; Universität Bremen; European Commission; Sight Research UK; National Science Foundation","keywords":"Mooring; Neutral buoyancy; Buoyancy; Mixed layer; Sea-surface height; Environmental science; Marine engineering; Winch; Float (project management); Relay; Ocean current; Remote sensing; Geology; Meteorology; Computer science; Oceanography; Sea surface temperature; Engineering; Physics","score_opus":0.010159455760645962,"score_gpt":0.23044299567343368,"score_spread":0.2202835399127877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018504765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97643554,0.0078079607,0.013929351,0.0006098342,0.00023487351,0.0006562602,0.000001917663,0.00020162817,0.00012263445],"genre_scores_gemma":[0.9817233,0.0003243496,0.01776451,0.000036502268,0.000076179735,0.0000112953085,5.11294e-7,0.00003987281,0.000023479033],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987839,0.000044424036,0.00060495705,0.000101602236,0.00011488913,0.00035025185],"domain_scores_gemma":[0.9992358,0.00009169979,0.0002196261,0.0002992227,0.00007804845,0.00007558667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006858666,0.00016494864,0.00036990913,0.000026833968,0.00011060177,0.00005937539,0.00070579577,0.00015658104,0.00000222878],"category_scores_gemma":[0.000010022178,0.00011313668,0.00006754043,0.00029096808,0.000037111266,0.00023214452,0.0001598349,0.00029999265,0.0000012776688],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007955507,0.0012410554,0.7189525,0.00155687,0.0031656618,0.000058813104,0.007860916,0.0023832903,0.015362704,0.03165124,0.0020380598,0.21493335],"study_design_scores_gemma":[0.035116304,0.002688242,0.13361311,0.0022793957,0.0012836313,0.0068197553,0.12336784,0.49210978,0.048199736,0.007462828,0.14394557,0.0031138072],"about_ca_topic_score_codex":0.0000072316907,"about_ca_topic_score_gemma":0.0000021418934,"teacher_disagreement_score":0.58533937,"about_ca_system_score_codex":0.00017138354,"about_ca_system_score_gemma":0.00003268078,"threshold_uncertainty_score":0.46135798},"labels":[],"label_agreement":null},{"id":"W2023145281","doi":"10.1175/jtech-d-14-00015.1","title":"Error Analysis of a Conceptual Cloud Doppler Stereoradar with Polarization Diversity for Better Understanding Space Applications","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Japan Aerospace Exploration Agency; Natural Environment Research Council; Sight Research UK","keywords":"Remote sensing; Radar; Doppler effect; Computer science; Doppler radar; Polarization (electrochemistry); Mesoscale meteorology; Meteorology; Geology; Physics; Telecommunications","score_opus":0.04359242673533291,"score_gpt":0.23062857100052164,"score_spread":0.18703614426518872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023145281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65236133,0.00037681832,0.34638834,0.0006471746,0.000031515283,0.00008667153,0.000016581724,0.000010283133,0.00008124485],"genre_scores_gemma":[0.9819122,0.00002037064,0.017953398,0.000047681075,0.000026306963,2.1083316e-7,0.000011708141,0.0000017363786,0.000026384305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993636,0.000024643181,0.00021713294,0.00009738358,0.00019497066,0.00010224268],"domain_scores_gemma":[0.99924904,0.000056592737,0.00037757284,0.0000761691,0.00017608746,0.00006451482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027570568,0.00007065645,0.00025904717,0.00006469477,0.000106624095,0.000010996562,0.00012911369,0.000072257804,0.00005882578],"category_scores_gemma":[0.000026912696,0.000051859242,0.00006026436,0.0009482607,0.0001914816,0.00014144427,0.000014456498,0.00008426787,5.316265e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011071574,0.000019031448,0.99279475,0.000006825251,0.000833903,0.0000014392742,0.0005272424,0.001141865,0.00003981727,0.0024698,0.0002267515,0.0018278849],"study_design_scores_gemma":[0.008756312,0.0050999867,0.6795971,0.00009570241,0.01603779,0.00011195036,0.1417474,0.09672763,0.0002950293,0.04311592,0.0073916777,0.0010234952],"about_ca_topic_score_codex":0.000032183627,"about_ca_topic_score_gemma":0.00014698395,"teacher_disagreement_score":0.32955083,"about_ca_system_score_codex":0.00001647764,"about_ca_system_score_gemma":0.00005337941,"threshold_uncertainty_score":0.21147585},"labels":[],"label_agreement":null},{"id":"W2026160589","doi":"10.1175/1520-0426(2000)017<1066:atoams>2.0.co;2","title":"Alternate Transmission of +45° and −45° Slant Polarization and Simultaneous Reception of Vertical and Horizontal Polarization for Precipitation Measurement","year":2000,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Differential phase; Observable; Polarization (electrochemistry); Radar; Optics; Scattering; Polarimetry; Physics; Linear polarization; Computational physics; Phase (matter); Telecommunications; Chemistry","score_opus":0.009010061872458383,"score_gpt":0.2065431490358339,"score_spread":0.19753308716337553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026160589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980302,0.0031315219,0.016090777,0.00025970626,0.000036476533,0.0001425784,0.0000054070933,0.000007809458,0.000023764542],"genre_scores_gemma":[0.98996854,0.0018414509,0.008138573,0.000010960321,0.00001781365,2.7630716e-7,0.0000059868007,0.0000030897274,0.00001329318],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991312,0.000036455367,0.00039180813,0.0001240195,0.00021916792,0.000097374534],"domain_scores_gemma":[0.9994524,0.00006405438,0.0002022933,0.000042052678,0.00017832818,0.000060865477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038290815,0.000088932575,0.00022674518,0.000037248414,0.000066863104,0.000013971918,0.00004757575,0.000113057824,0.000044772187],"category_scores_gemma":[0.00010816749,0.000071102964,0.000028554492,0.00016551037,0.00009994579,0.00018373529,0.0000038414432,0.00008298427,1.4632178e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067710265,0.00003858295,0.18167906,0.00008193447,0.00008274569,0.0000014426448,0.00033121658,0.0002883699,0.029597903,0.00012005733,0.000004629351,0.787097],"study_design_scores_gemma":[0.007848122,0.006686828,0.6645402,0.0004455578,0.00084665767,0.00024589314,0.001520093,0.2991586,0.009615518,0.007913765,0.0007393563,0.00043944392],"about_ca_topic_score_codex":0.000028783912,"about_ca_topic_score_gemma":0.000021796122,"teacher_disagreement_score":0.7866575,"about_ca_system_score_codex":0.0000062991126,"about_ca_system_score_gemma":0.000025329286,"threshold_uncertainty_score":0.28994948},"labels":[],"label_agreement":null},{"id":"W2026705638","doi":"10.1175/jtech-d-12-00201.1","title":"Combining the All-Source Green's Functions and the GPS-Derived Source Functions for Fast Tsunami Predictions—Illustrated by the March 2011 Japan Tsunami","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Global Positioning System; Geology; Submarine; Elevation (ballistics); Seismology; Source function; Field (mathematics); Arrival time; Geodesy; Source model; Function (biology); Meteorology; Computer science; Geography; Oceanography; Telecommunications","score_opus":0.008113274261045182,"score_gpt":0.18779599227686475,"score_spread":0.17968271801581956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026705638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94241744,0.0098313745,0.01201276,0.03398299,0.00038288115,0.0006274516,0.000024027648,0.00008767994,0.0006333703],"genre_scores_gemma":[0.99478996,0.0009980848,0.00027421958,0.00047063504,0.00010976349,0.000012885988,0.0000057192337,0.000009224494,0.0033295178],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99872345,0.000118775155,0.00041378697,0.00020000273,0.00018574469,0.00035824082],"domain_scores_gemma":[0.9983463,0.0008491275,0.00033515802,0.00023652942,0.00015818959,0.000074660515],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00055356417,0.00019520045,0.00030315336,0.000019108733,0.0013065783,0.000098485405,0.0003459318,0.00015162145,0.00037262065],"category_scores_gemma":[0.00011233426,0.00009030034,0.000108000924,0.0003341409,0.0012215318,0.00015640797,0.000056243105,0.000620799,0.000020536507],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005439435,0.00012242314,0.24811567,0.000042755277,0.002084926,0.000004387296,0.0027883162,0.0017635277,0.0001815796,0.0013262399,0.09608996,0.64693624],"study_design_scores_gemma":[0.0059343893,0.0024859381,0.5799791,0.00006595298,0.0009480233,0.0020605794,0.08030892,0.08271831,0.000017571208,0.0058747954,0.23907655,0.00052986416],"about_ca_topic_score_codex":0.00095110486,"about_ca_topic_score_gemma":0.0003867875,"teacher_disagreement_score":0.6464064,"about_ca_system_score_codex":0.0000071933046,"about_ca_system_score_gemma":0.000050504732,"threshold_uncertainty_score":0.99999356},"labels":[],"label_agreement":null},{"id":"W2028063264","doi":"10.1175/jtech1962.1","title":"Ground-Based Solar Absorption FTIR Spectroscopy: Characterization of Retrievals and First Results from a Novel Optical Design Instrument at a New NDACC Complementary Station","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Foundation for Climate and Atmospheric Sciences; University of Saskatchewan","keywords":"Spectrograph; Remote sensing; Observatory; Environmental science; Solar observatory; Satellite; Spectrometer; Interferometry; Computer science; Meteorology; Optics; Physics; Spectral line; Geology; Astronomy","score_opus":0.016966971260969826,"score_gpt":0.2220581773594296,"score_spread":0.20509120609845977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028063264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87354064,0.0002794961,0.12493005,0.00089424144,0.000117039854,0.00014605501,0.00005020355,0.000019563613,0.000022728582],"genre_scores_gemma":[0.8653016,0.0005370491,0.1339187,0.00010063154,0.000063163556,1.0832749e-7,0.000058343532,0.0000055739424,0.000014826049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985318,0.000024167597,0.0007380993,0.0002070906,0.00025144502,0.00024739263],"domain_scores_gemma":[0.99877894,0.00019103539,0.0007177835,0.000119291624,0.00006975806,0.00012321815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000546948,0.00015419633,0.00033347713,0.000015632304,0.00011855657,0.000025912477,0.0001255543,0.00015338954,0.00022849241],"category_scores_gemma":[0.00006421599,0.00012917911,0.00004056631,0.00032448248,0.0001433951,0.00022367437,0.000023969189,0.00018001562,0.000003044329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01284347,0.00039665838,0.44381317,0.00011482552,0.00041507982,0.00013429871,0.0013356372,0.0007973036,0.29396597,0.00036584807,0.0004764939,0.24534123],"study_design_scores_gemma":[0.0045176083,0.002776294,0.95415914,0.00011388163,0.00013913352,0.00013272908,0.0006687781,0.012203842,0.022424227,0.0011077204,0.0015144591,0.00024218099],"about_ca_topic_score_codex":0.0003049544,"about_ca_topic_score_gemma":0.00015868469,"teacher_disagreement_score":0.51034594,"about_ca_system_score_codex":0.000039277264,"about_ca_system_score_gemma":0.00009145233,"threshold_uncertainty_score":0.5267771},"labels":[],"label_agreement":null},{"id":"W2028277313","doi":"10.1175/jtech-d-14-00017.1","title":"Why Scanning Instruments Are a Necessity for Constraining Temperature and Humidity Fields in the Lower Atmosphere","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Radiometer; Water vapor; Mesoscale meteorology; Troposphere; Remote sensing; Environmental science; Microwave radiometer; Microwave; Temperature measurement; Meteorology; Physics; Geology","score_opus":0.011673291131803999,"score_gpt":0.2184089344290874,"score_spread":0.20673564329728342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028277313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946987,0.000875016,0.0010208639,0.0028667888,0.00012449794,0.00009657467,0.0000032000235,0.000010254014,0.00030407496],"genre_scores_gemma":[0.9933287,0.000079291945,0.0050119897,0.0015098903,0.00006005343,4.5070857e-7,8.4557934e-7,0.0000017736328,0.000006984732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927247,0.00007196094,0.00025422362,0.00012677452,0.000095223964,0.00017937139],"domain_scores_gemma":[0.99929756,0.0003194938,0.00020798208,0.00008451795,0.000041224426,0.00004923505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005650718,0.00009791326,0.0002367082,0.0000060220295,0.00017777784,0.000042565993,0.00017358222,0.00017561312,0.00009842717],"category_scores_gemma":[0.0002653124,0.000057997517,0.000036007936,0.00020877285,0.00016734666,0.00011909603,0.000014090759,0.00033955523,3.4456497e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008457177,0.00003593431,0.9172616,0.000023086648,0.000025367974,0.000013976393,0.00028325923,0.0010318211,0.000016985623,0.0008050811,0.00068553956,0.07973276],"study_design_scores_gemma":[0.0017205663,0.0019484989,0.91445816,0.0000979101,0.000050553244,0.00024734638,0.0042860503,0.02967347,0.000009882795,0.035313867,0.011965233,0.00022847476],"about_ca_topic_score_codex":0.000017027174,"about_ca_topic_score_gemma":0.0001071041,"teacher_disagreement_score":0.07950428,"about_ca_system_score_codex":0.000002991177,"about_ca_system_score_gemma":0.000018627878,"threshold_uncertainty_score":0.236507},"labels":[],"label_agreement":null},{"id":"W2029401907","doi":"10.1175/jtech-d-13-00045.1","title":"Scanning ARM Cloud Radars. Part II: Data Quality Control and Processing","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"U.S. Department of Energy","keywords":"Depth sounding; Radar; Remote sensing; Doppler effect; Feature (linguistics); Wind speed; Computer science; Wind profiler; Doppler radar; Geology; Environmental science; Meteorology; Physics; Telecommunications","score_opus":0.011926691282241457,"score_gpt":0.24159293345164107,"score_spread":0.2296662421693996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029401907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98736185,0.0034548722,0.005230208,0.0030040406,0.00016160186,0.00014133278,0.0000020017926,0.0000446959,0.00059941085],"genre_scores_gemma":[0.9762349,0.00039065667,0.022546336,0.00048750654,0.00009726679,0.0000020513341,4.849612e-7,0.000016952521,0.00022385598],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984702,0.00004171183,0.00057516503,0.0003251456,0.00024858452,0.00033920468],"domain_scores_gemma":[0.9988484,0.00004780935,0.00057250937,0.0003467404,0.000033824297,0.00015075509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050681346,0.00018953715,0.00041120753,0.0000011712785,0.00028379308,0.000053442403,0.00051672594,0.00018489434,0.00046303796],"category_scores_gemma":[0.00012859909,0.00014445595,0.00003476434,0.00028262608,0.00059337914,0.000505935,0.0006052824,0.0003778216,0.000011096949],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006476934,0.00021773286,0.40669495,0.000035495865,0.000088825596,0.000036999387,0.00034928648,0.000054529537,0.0022838244,0.0005044729,0.016938845,0.5727303],"study_design_scores_gemma":[0.0064153085,0.0026010713,0.7815301,0.00030606787,0.000320682,0.0021917892,0.007635179,0.027428742,0.00022979657,0.015763635,0.15427451,0.0013031376],"about_ca_topic_score_codex":0.00007316149,"about_ca_topic_score_gemma":0.00000546949,"teacher_disagreement_score":0.57142717,"about_ca_system_score_codex":0.000056435765,"about_ca_system_score_gemma":0.00003843464,"threshold_uncertainty_score":0.58907425},"labels":[],"label_agreement":null},{"id":"W2029646251","doi":"10.1175/jtech-d-11-00195.1","title":"Separating Cloud and Drizzle Radar Moments during Precipitation Onset Using Doppler Spectra","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Biological and Environmental Research; U.S. Department of Energy","keywords":"Drizzle; Environmental science; Doppler effect; Cloud top; Radar; Meteorology; Cloud computing; Doppler radar; Remote sensing; Precipitation; Physics; Geography; Computer science","score_opus":0.0046936715411159645,"score_gpt":0.20973595858630756,"score_spread":0.2050422870451916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029646251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960268,0.0004587811,0.0026767438,0.00035430008,0.00013217604,0.00014224299,4.2755727e-7,0.000028731865,0.000179787],"genre_scores_gemma":[0.9378687,0.00020372748,0.061601494,0.00006735203,0.00005609682,0.0000018002563,1.696007e-7,0.00001612778,0.00018452336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989018,0.000026146692,0.00039810094,0.00020330603,0.00019062134,0.00028002253],"domain_scores_gemma":[0.9993652,0.000024786665,0.0003744302,0.00012511757,0.000020358304,0.00009009066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013229816,0.00016084396,0.00025940174,0.000001938562,0.00018813986,0.000040611485,0.00015123784,0.00014062111,0.0006077414],"category_scores_gemma":[0.000031352676,0.00013307875,0.0000396372,0.0002773388,0.00024051675,0.00032692493,0.00016540644,0.0002538871,0.000014651367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066056295,0.000149512,0.8875016,0.00003499881,0.00011967733,0.000065686654,0.0010551478,0.0006492364,0.0903313,0.00019150633,0.002723161,0.017112147],"study_design_scores_gemma":[0.0028827316,0.001135376,0.9544578,0.0001314857,0.00015210998,0.004148387,0.005632979,0.016276024,0.004476276,0.0081369495,0.0018128006,0.0007570459],"about_ca_topic_score_codex":0.00007049845,"about_ca_topic_score_gemma":0.0000043246596,"teacher_disagreement_score":0.08585502,"about_ca_system_score_codex":0.0001221417,"about_ca_system_score_gemma":0.000015377185,"threshold_uncertainty_score":0.66543424},"labels":[],"label_agreement":null},{"id":"W2030885453","doi":"10.1175/jtech-d-12-00104.1","title":"Influence of Filter Band Function on Retrieval of Aerosol Optical Depth from Sunphotometer Data","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Radiative transfer; Aerosol; Rayleigh scattering; Optical depth; Attenuation; Absorption (acoustics); Environmental science; Wavelength; Remote sensing; Optics; Filter (signal processing); Physics; Computational physics; Materials science; Meteorology; Geology; Computer science","score_opus":0.01199697359791288,"score_gpt":0.21018951775303052,"score_spread":0.19819254415511764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030885453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980467,0.0007588276,0.00047635133,0.00017040623,0.0000928708,0.00008102484,0.000022842623,0.000012397311,0.0003385727],"genre_scores_gemma":[0.9920962,0.00019814598,0.0075130067,0.00008029718,0.0000587706,1.2160905e-7,0.000008627342,0.0000041414473,0.000040702147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987324,0.000021255746,0.0005981317,0.00021388652,0.00024478746,0.00018953966],"domain_scores_gemma":[0.9986789,0.00020261954,0.00052882096,0.00037203042,0.00012608619,0.0000914908],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001796933,0.0001415969,0.00039155764,0.00000525477,0.000037773847,0.000015248899,0.00047512405,0.00021708857,0.0009183275],"category_scores_gemma":[0.00021407024,0.000102155456,0.00005090074,0.0003249384,0.00031583084,0.00031314557,0.000049185346,0.00031886902,0.000011622585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015530796,0.0002525417,0.74251616,0.0001236288,0.00047299566,0.000063905776,0.00012994026,0.0024683103,0.1725345,0.000054963664,0.0023387189,0.07749125],"study_design_scores_gemma":[0.001639243,0.002790356,0.864288,0.00021387314,0.00018098987,0.0001968484,0.0005258119,0.0029991062,0.12449142,0.0017177108,0.0006335957,0.0003230796],"about_ca_topic_score_codex":0.000088318775,"about_ca_topic_score_gemma":0.000008614784,"teacher_disagreement_score":0.12177179,"about_ca_system_score_codex":0.000004405952,"about_ca_system_score_gemma":0.000057147623,"threshold_uncertainty_score":0.999995},"labels":[],"label_agreement":null},{"id":"W2032227757","doi":"10.1175/jtech-d-10-05013.1","title":"Spatial and Temporal Sampling of Polar Regions from Two-Satellite System on Molniya Orbit","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Constellation; Sampling (signal processing); Satellite constellation; Remote sensing; Satellite; Polar orbit; Orbit (dynamics); Computer science; Arctic; Environmental science; The arctic; Satellite system; Sun-synchronous orbit; Meteorology; Geodesy; Geology; Geography; Global Positioning System; Telecommunications; Astronomy; Aerospace engineering; Physics; Geosynchronous orbit; Oceanography; Detector; GNSS applications","score_opus":0.01069387008861203,"score_gpt":0.1991363346985856,"score_spread":0.18844246460997358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032227757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699213,0.0009632914,0.02823549,0.00008544995,0.00011383584,0.000084401814,0.000002615655,0.000029455317,0.00056419586],"genre_scores_gemma":[0.9025563,0.00057059224,0.096738,0.00004145668,0.0000310264,6.2483224e-7,4.5674614e-7,0.000018678062,0.00004283791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988389,0.00002977058,0.0004805716,0.00023098585,0.00019848504,0.00022126155],"domain_scores_gemma":[0.9991252,0.00003737538,0.0005006137,0.00021516385,0.000008480472,0.000113199836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014880064,0.00018663002,0.00037709024,0.0000057706075,0.00008285573,0.000007039482,0.0002347459,0.00017842487,0.00012221304],"category_scores_gemma":[0.000017246566,0.00015154699,0.00006643742,0.00018592147,0.000518726,0.00011895739,0.00019047843,0.00029272021,0.0000075138128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023761296,0.00014231006,0.9300752,0.000020592413,0.000107471635,0.000107442305,0.00067359174,0.0004151778,0.0020458617,0.0024036989,0.000028547549,0.06374246],"study_design_scores_gemma":[0.0029701155,0.0030755966,0.9581537,0.00030262122,0.0002895482,0.0011865275,0.007300579,0.010321727,0.0011602064,0.01060767,0.003913074,0.00071859715],"about_ca_topic_score_codex":0.0007203595,"about_ca_topic_score_gemma":0.000021738562,"teacher_disagreement_score":0.06850251,"about_ca_system_score_codex":0.00011931507,"about_ca_system_score_gemma":0.000010868489,"threshold_uncertainty_score":0.6179907},"labels":[],"label_agreement":null},{"id":"W2034723258","doi":"10.1175/2008jtecha1046.1","title":"Errors of Naturally Ventilated Air Temperature Measurements in a Spatial Observation Network","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Shields; Environmental science; Shield; Radiative transfer; Wind speed; Radiation; Radiation flux; Root mean square; Thermal radiation; Meteorology; Heat flux; Air temperature; Flux (metallurgy); Radiative flux; Atmospheric sciences; Temperature measurement; Remote sensing; Physics; Optics; Geology; Materials science; Mechanics; Heat transfer","score_opus":0.007913946202634395,"score_gpt":0.1861172772788404,"score_spread":0.178203331076206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034723258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899757,0.00038205946,0.0001484038,0.00019882894,0.00013541357,0.00005903545,6.0861794e-7,0.000009811747,0.000068275054],"genre_scores_gemma":[0.9930889,0.00019642992,0.0065971487,0.000037899576,0.0000132688365,4.2861677e-7,9.960553e-7,0.0000053110944,0.00005961369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924743,0.000019686579,0.0003377016,0.00008910664,0.00017342382,0.00013265916],"domain_scores_gemma":[0.9995945,0.000008080396,0.00027278138,0.00007545573,0.000022510443,0.000026690168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014748036,0.000079775295,0.00018451181,0.000010996845,0.00004275309,0.0000020717894,0.00013347679,0.00016817465,0.00003147244],"category_scores_gemma":[0.000021072943,0.000064092405,0.000034625944,0.00046028552,0.00010673945,0.0001101232,0.000047665217,0.00026322977,0.0000010131538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005324648,0.000050548475,0.97618866,0.0000041495964,0.00001807549,0.000037694754,0.000088590554,0.013915031,0.0075749634,0.00003109425,0.00020285712,0.0018351005],"study_design_scores_gemma":[0.0006559357,0.00025348258,0.9862943,0.000059943515,0.000021882437,0.00046218542,0.000040624243,0.010160732,0.00052802655,0.0009462326,0.0004656466,0.00011099786],"about_ca_topic_score_codex":0.000027236982,"about_ca_topic_score_gemma":0.00004695272,"teacher_disagreement_score":0.010105662,"about_ca_system_score_codex":0.00006651568,"about_ca_system_score_gemma":0.000019305406,"threshold_uncertainty_score":0.26136124},"labels":[],"label_agreement":null},{"id":"W2037547818","doi":"10.1175/jtech-d-14-00209.1","title":"Air-Deployed Microbuoy Measurement of Temperatures in the Marginal Ice Zone Upper Ocean during the MIZOPEX Campaign","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Environmental science; Flash (photography); Meteorology; EEPROM; On board; Atmospheric sciences; Geology; Remote sensing; Computer science","score_opus":0.007903996021374978,"score_gpt":0.1876828843945876,"score_spread":0.17977888837321263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037547818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926909,0.003146745,0.00024593997,0.0035317244,0.0001565748,0.00011224305,0.0000032579028,0.000011486909,0.0001011273],"genre_scores_gemma":[0.9966893,0.00040320147,0.0024925545,0.00030200637,0.000070793685,1.7134289e-7,4.8486964e-7,0.0000049165074,0.000036525802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869764,0.00011126715,0.00042076383,0.00012459047,0.00039083397,0.00025492944],"domain_scores_gemma":[0.9992113,0.00008200576,0.00030426346,0.0001824705,0.00016025873,0.000059693582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011457432,0.00014143767,0.00027470922,0.000022621447,0.000120655466,0.00001936341,0.00047718192,0.000102135295,0.000029581724],"category_scores_gemma":[0.00011845571,0.000071488095,0.00006445396,0.00041283222,0.00028613882,0.00009719873,0.000029209123,0.0004993701,0.000001873453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035729678,0.00008854402,0.9860306,0.000050065933,0.000112472546,0.0001661064,0.0019885295,0.0010191029,0.0002064019,0.00029263657,0.0016232308,0.008065038],"study_design_scores_gemma":[0.0021818874,0.0010771488,0.945159,0.00015096618,0.00012103862,0.0040110126,0.03585905,0.0018624852,0.00016591557,0.0014951729,0.007650721,0.0002655997],"about_ca_topic_score_codex":0.00013931467,"about_ca_topic_score_gemma":0.00010978448,"teacher_disagreement_score":0.04087157,"about_ca_system_score_codex":0.000021428597,"about_ca_system_score_gemma":0.00014461378,"threshold_uncertainty_score":0.29152},"labels":[],"label_agreement":null},{"id":"W2038006265","doi":"10.1175/jtech1987.1","title":"SPARC: New Cloud, Snow, and Cloud Shadow Detection Scheme for Historical 1-km AVHHR Data over Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pixel; Advanced very-high-resolution radiometer; Remote sensing; Snow; Sky; Cloud computing; Satellite; Shadow (psychology); Image resolution; Meteorology; Environmental science; Radiometry; Polar orbit; Weather satellite; Computer science; Geology; Geography; Artificial intelligence; Astronomy; Physics","score_opus":0.009953319322166896,"score_gpt":0.2207516784945713,"score_spread":0.21079835917240441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038006265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91502553,0.0024524666,0.07956459,0.0013790377,0.0011733782,0.00016377293,0.000004609494,0.000033452292,0.00020317385],"genre_scores_gemma":[0.95035416,0.0003746236,0.047361538,0.0003720233,0.000606213,9.309173e-7,0.0000013563775,0.000027945176,0.0009011866],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984087,0.000012552099,0.00052083243,0.00035282294,0.00028605232,0.00041909202],"domain_scores_gemma":[0.9988658,0.00009989625,0.00040493024,0.0003509441,0.000024086034,0.0002543436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043473952,0.00020484092,0.00036605287,0.0000018588185,0.00018308125,0.00001879396,0.00047258736,0.0002476942,0.0001976886],"category_scores_gemma":[0.00018035369,0.00017359493,0.00004543325,0.00034852885,0.00018065453,0.00019020328,0.00037590935,0.00037434167,0.000001914421],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060077826,0.0001664671,0.18643203,0.000037976362,0.00017076933,0.00018393942,0.00014963537,0.000048720947,0.0069029042,0.0008723334,0.23921286,0.5652216],"study_design_scores_gemma":[0.0024499267,0.0012109583,0.082733825,0.00004038641,0.00015122697,0.0011367111,0.00073881354,0.0038325775,0.00087730505,0.0028134694,0.903458,0.0005568125],"about_ca_topic_score_codex":0.0253438,"about_ca_topic_score_gemma":0.04764012,"teacher_disagreement_score":0.6642451,"about_ca_system_score_codex":0.0007020249,"about_ca_system_score_gemma":0.00016305454,"threshold_uncertainty_score":0.9811465},"labels":[],"label_agreement":null},{"id":"W2038651270","doi":"10.1175/jtech-d-13-00200.1","title":"Processing of Underway CTD Data","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Science Foundation","keywords":"CTD; Salinity; Environmental science; Gradient descent; Meteorology; Remote sensing; Computer science; Geology; Physics; Artificial intelligence; Artificial neural network","score_opus":0.02074566099537033,"score_gpt":0.2415629122779666,"score_spread":0.22081725128259627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038651270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17413263,0.0035777632,0.8194951,0.0019606336,0.0002825403,0.00006361379,3.4321425e-7,0.00011671563,0.00037068187],"genre_scores_gemma":[0.90064394,0.000112452486,0.09910297,0.00006770764,0.000036241345,2.648593e-7,1.0062604e-7,0.000005846489,0.00003044641],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886703,0.00003812597,0.0005112883,0.00020886901,0.00019386315,0.0001807919],"domain_scores_gemma":[0.9984097,0.00004420049,0.00068833673,0.00065712153,0.00015927745,0.000041393236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007526264,0.000104759085,0.0003309253,0.000037141686,0.000062129955,0.000017484184,0.0015508612,0.00020625937,0.0000028864265],"category_scores_gemma":[0.00023153401,0.000081692655,0.000030045107,0.0005241076,0.00018522472,0.00031966114,0.0001653691,0.0002674367,0.0000015950166],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023938723,0.00015619051,0.01699281,0.00012551498,0.00011737992,0.000029596065,0.00018149232,0.000017113893,0.024784122,0.075892374,0.0017550634,0.8799244],"study_design_scores_gemma":[0.011966309,0.008872011,0.04067196,0.002217367,0.0005894193,0.016148275,0.004613546,0.30192512,0.1214332,0.21026435,0.27899116,0.0023072583],"about_ca_topic_score_codex":0.0000014472312,"about_ca_topic_score_gemma":9.3353964e-7,"teacher_disagreement_score":0.8776171,"about_ca_system_score_codex":0.000016956821,"about_ca_system_score_gemma":0.000076657205,"threshold_uncertainty_score":0.33313298},"labels":[],"label_agreement":null},{"id":"W2039082173","doi":"10.1175/1520-0426(2001)018<0117:tntoua>2.0.co;2","title":"Two New Types of Ultrafast Aircraft Thermometer","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resistance thermometer; Thermometer; Materials science; Aerodynamics; Meteorology; Environmental science; Mechanics; Physics; Temperature measurement; Thermodynamics","score_opus":0.010280864156869057,"score_gpt":0.2359949678359934,"score_spread":0.22571410367912437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039082173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932223,0.0004607637,0.004405272,0.0005794038,0.00012637931,0.000027176473,1.9946741e-7,0.000021076268,0.0011574426],"genre_scores_gemma":[0.9818994,0.00020142556,0.017243367,0.00003475364,0.00008195123,1.45229e-7,4.007609e-8,0.000008309169,0.0005306046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992874,0.00001652919,0.00030451242,0.000096528434,0.0001378812,0.0001571115],"domain_scores_gemma":[0.9994995,0.000040302413,0.0002732519,0.00010971742,0.0000136588815,0.000063552434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018871808,0.0000855136,0.0002093145,0.000008642422,0.000039415776,0.000005466696,0.00018362555,0.00008393559,0.0002978403],"category_scores_gemma":[0.00006530826,0.00006483454,0.000050168186,0.0003202296,0.00018506554,0.0000925472,0.0000705305,0.0001887941,0.000011137143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075231634,0.00008955563,0.524822,0.00000874298,0.00006570245,0.000051881398,0.00041151876,0.00045333127,0.014310434,0.0003106342,0.00075113506,0.4586498],"study_design_scores_gemma":[0.0074513243,0.0067979074,0.765174,0.0005069073,0.00047289042,0.008698693,0.007025617,0.0047459328,0.03368736,0.03847541,0.12555322,0.0014107598],"about_ca_topic_score_codex":0.000034537596,"about_ca_topic_score_gemma":0.0000021369153,"teacher_disagreement_score":0.45723906,"about_ca_system_score_codex":0.000033432432,"about_ca_system_score_gemma":0.0000142165345,"threshold_uncertainty_score":0.32611427},"labels":[],"label_agreement":null},{"id":"W2044104363","doi":"10.1175/1520-0426(2001)018<1223:ocfrst>2.0.co;2","title":"Ozone Corrections for Rayleigh-Scatter Temperature Determinations in the Middle Atmosphere","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"Stratosphere; Rayleigh scattering; Atmospheric sciences; Atmosphere (unit); Wavelength; Ozone; Environmental science; Atmospheric temperature; Mesosphere; Latitude; Meteorology; Physics; Optics","score_opus":0.011952964580620009,"score_gpt":0.21610641718417664,"score_spread":0.20415345260355663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044104363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908448,0.003168684,0.001279224,0.00327165,0.00036101494,0.00020256046,0.000006308922,0.000026162783,0.0008395806],"genre_scores_gemma":[0.98890275,0.0010707787,0.008930595,0.0005771115,0.00014245383,0.0000031146853,0.0000030804304,0.0000066534935,0.00036345058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989014,0.00005262933,0.00042414892,0.00016607028,0.00014923378,0.00030649616],"domain_scores_gemma":[0.99918425,0.00023773538,0.00025211103,0.00017233889,0.00009788481,0.000055679113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038932217,0.0001547942,0.0002811771,0.00000622202,0.00022943928,0.00005051512,0.00033611417,0.00020252282,0.0004284026],"category_scores_gemma":[0.00009071068,0.00009836002,0.0000940487,0.00077035365,0.00015119671,0.00021490689,0.000012376334,0.00039202714,0.000010518625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014966991,0.00013497204,0.8816188,0.000027621327,0.00006656941,0.00016330177,0.000790882,0.0006538642,0.000089410634,0.00048249177,0.003568296,0.11225411],"study_design_scores_gemma":[0.0031965417,0.002602033,0.82647645,0.00015940524,0.0002387735,0.005854185,0.02642406,0.01353236,0.00008724202,0.010824238,0.10997255,0.00063217466],"about_ca_topic_score_codex":0.000042484575,"about_ca_topic_score_gemma":0.00042154375,"teacher_disagreement_score":0.11162194,"about_ca_system_score_codex":0.000008814864,"about_ca_system_score_gemma":0.00006230831,"threshold_uncertainty_score":0.4690708},"labels":[],"label_agreement":null},{"id":"W2045354197","doi":"10.1175/jtech1765.1","title":"Assimilation of Wind Profiler Data in the Canadian Meteorological Centre’s Analysis Systems","year":2005,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiosonde; Wind profiler; Environmental science; Data assimilation; Meteorology; Troposphere; Standard deviation; Climatology; Geology; Statistics; Mathematics; Computer science; Geography","score_opus":0.023852114016676796,"score_gpt":0.23504667927706593,"score_spread":0.21119456526038913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045354197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935895,0.0018480736,0.00030406105,0.0028460047,0.00005666534,0.00010252375,0.000023731824,0.000005550567,0.0012238882],"genre_scores_gemma":[0.99673766,0.00007646627,0.0029790269,0.00012965256,0.000045707555,6.882987e-8,0.000013354403,0.0000010400673,0.000016995811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894273,0.00011871926,0.00044096922,0.00013103471,0.00018019248,0.00018638032],"domain_scores_gemma":[0.9991907,0.00017941087,0.00026784366,0.00023445666,0.00005707162,0.000070548005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087195646,0.00007744278,0.00029129558,0.000061516694,0.00008006617,0.000022696,0.0004619982,0.0001534686,0.00041992991],"category_scores_gemma":[0.00015941159,0.000042529515,0.0000398965,0.00095286145,0.00012100367,0.000146486,0.000015864242,0.00024365491,0.0000030161636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015898042,0.00002075162,0.9578229,0.0000033065842,0.00009948977,0.000011229827,0.00009845421,0.030321063,0.0000032985872,0.0009312858,0.00014418752,0.010528123],"study_design_scores_gemma":[0.00019141618,0.00015258342,0.8734259,0.0000035352377,0.00014111512,0.000028250935,0.0004153401,0.12091909,7.259751e-7,0.0006862825,0.003983548,0.000052207033],"about_ca_topic_score_codex":0.0027186836,"about_ca_topic_score_gemma":0.04229405,"teacher_disagreement_score":0.09059803,"about_ca_system_score_codex":0.000010827253,"about_ca_system_score_gemma":0.0000772859,"threshold_uncertainty_score":0.9751816},"labels":[],"label_agreement":null},{"id":"W2045877097","doi":"10.1175/1520-0426(2001)018<0883:motduf>2.0.co;2","title":"Measurement of Three-Dimensional Unsteady Flows Using an Inexpensive Multiple Disk Probe","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anemometer; Measure (data warehouse); Wind tunnel; Range (aeronautics); Acoustics; Work (physics); Mechanics; Physics; Pressure sensor; Flow (mathematics); Calibration; Transducer; Optics; Materials science; Computer science; Turbulence","score_opus":0.013753490306860482,"score_gpt":0.2044478897640581,"score_spread":0.1906943994571976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045877097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96817154,0.0037641323,0.027516067,0.0000676087,0.00028913261,0.00011104628,0.0000016801264,0.00005522866,0.00002354636],"genre_scores_gemma":[0.9738059,0.00020348383,0.02589049,0.00001389866,0.00005533022,8.121983e-7,4.290917e-7,0.000026512262,0.00000312294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988898,0.000012413021,0.00049513613,0.00012243957,0.00026111476,0.00021908522],"domain_scores_gemma":[0.99928844,0.000015099705,0.0001776723,0.00017330467,0.00026648692,0.00007900341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019618962,0.00016820618,0.00037043742,0.000032307416,0.000045032455,0.000009361568,0.00016811314,0.0001642928,0.000017106688],"category_scores_gemma":[0.00004468414,0.00014034516,0.000069122194,0.00028124487,0.00006970757,0.000139915,0.000048920778,0.00026833668,7.562219e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002845748,0.00065621105,0.096171245,0.00017800623,0.00078213186,0.00038513457,0.00022942606,0.66341096,0.17920683,0.0016945864,0.0002595048,0.056741413],"study_design_scores_gemma":[0.001017541,0.0004085545,0.0052738073,0.00011766358,0.00006434415,0.0006210213,0.00008439838,0.9902776,0.0006019428,0.00089962705,0.0004624261,0.00017107693],"about_ca_topic_score_codex":0.000013131988,"about_ca_topic_score_gemma":0.000043851796,"teacher_disagreement_score":0.32686666,"about_ca_system_score_codex":0.00009124874,"about_ca_system_score_gemma":0.000050364913,"threshold_uncertainty_score":0.5723109},"labels":[],"label_agreement":null},{"id":"W2047091742","doi":"10.1175/jtech2006.1","title":"Advancements in Techniques for Calibration and Characterization of In Situ Optical Particle Measuring Probes, and Applications to the FSSP-100 Probe","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Airspeed; Calibration; Characterization (materials science); Sizing; Spectrometer; Optics; Particle (ecology); Materials science; Scattering; Physics; Chemistry","score_opus":0.009802854264791407,"score_gpt":0.22624099313740967,"score_spread":0.21643813887261826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047091742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7264191,0.0008141188,0.27200276,0.0004243237,0.000010798324,0.00028461235,5.450892e-7,0.00003903656,0.0000047271847],"genre_scores_gemma":[0.970487,0.00085887563,0.028603682,0.000016463682,0.000013158814,0.000011116705,3.5285257e-7,0.000006957382,0.0000024015226],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945074,0.00000432452,0.00030257038,0.000076991964,0.000045204197,0.000120150704],"domain_scores_gemma":[0.999787,0.000022795317,0.00007055245,0.00006780553,0.000033509234,0.00001833767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027029583,0.00006577239,0.00014522078,0.00003062787,0.000022618087,0.000007910568,0.00006418897,0.00010288298,2.3596695e-7],"category_scores_gemma":[0.000033725417,0.000049654645,0.000008636054,0.00028655073,0.000068987385,0.00007950403,0.000036341917,0.00011093323,2.7376112e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003087137,0.000030015926,0.011116415,0.000054737146,0.000007185495,0.0000017056606,0.00009672645,0.000008688462,0.78560674,0.002114789,0.000008615375,0.20092352],"study_design_scores_gemma":[0.00056036544,0.00039265747,0.038051546,0.00016633436,0.000019180909,0.00009024151,0.00066568423,0.0026461019,0.951896,0.0026010398,0.0027728837,0.00013797006],"about_ca_topic_score_codex":9.4465975e-7,"about_ca_topic_score_gemma":0.000009985358,"teacher_disagreement_score":0.2440679,"about_ca_system_score_codex":0.000027934206,"about_ca_system_score_gemma":0.000008772088,"threshold_uncertainty_score":0.20248577},"labels":[],"label_agreement":null},{"id":"W2048374182","doi":"10.1175/jtech-d-14-00112.1","title":"Developing and Evaluating Ice Cloud Parameterizations for Forward Modeling of Radar Moments Using in situ Aircraft Observations","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Remote sensing; Kurtosis; Skewness; Radar; Doppler effect; Zenith; Environmental science; Doppler radar; Meteorology; Computational physics; Physics; Geology; Computer science; Mathematics; Statistics","score_opus":0.06357290530243373,"score_gpt":0.30048665934190005,"score_spread":0.23691375403946632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048374182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67342794,0.0003088596,0.3257891,0.00026737785,0.00006351852,0.000116430114,6.794353e-7,0.00000756505,0.000018514698],"genre_scores_gemma":[0.6039261,0.00006343784,0.39593962,0.000039126786,0.000012635008,0.0000019095694,2.7072016e-7,0.000008259601,0.0000086256705],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988919,0.00002511805,0.0005486454,0.0001561226,0.00017855654,0.00019966751],"domain_scores_gemma":[0.99934816,0.00005076689,0.00036862338,0.00009774583,0.00006797291,0.00006673873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004493464,0.00011545983,0.0002944995,0.0000033540414,0.00008578177,0.000011584028,0.00014871667,0.00012029459,0.00000542429],"category_scores_gemma":[0.00024045345,0.00010420973,0.000034204495,0.0004646045,0.00012889867,0.00020893656,0.00014434733,0.00013089637,2.2787054e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030502965,0.00030933524,0.60932577,0.00014147213,0.0002071613,0.00002128029,0.0035147448,0.26020548,0.06510739,0.0062716124,0.0001781727,0.054412547],"study_design_scores_gemma":[0.0023267595,0.00078480167,0.012038435,0.00015752646,0.00011480488,0.00014718155,0.005137069,0.9492586,0.0005643392,0.028866237,0.00030782,0.0002963839],"about_ca_topic_score_codex":0.000032304903,"about_ca_topic_score_gemma":0.000011586144,"teacher_disagreement_score":0.6890532,"about_ca_system_score_codex":0.00016444577,"about_ca_system_score_gemma":0.00009086384,"threshold_uncertainty_score":0.42495492},"labels":[],"label_agreement":null},{"id":"W2050569921","doi":"10.1175/2009jtecho688.1","title":"Gas Bubbles as Oceanographic Tracers","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Downwelling; Geology; Oceanography; Front (military); Tidal current; Bubble; Echo sounding; Stratification (seeds); Meteorology; Mechanics; Upwelling; Physics","score_opus":0.003537627316075258,"score_gpt":0.19186869816347082,"score_spread":0.18833107084739556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050569921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714144,0.021928024,0.0005869537,0.0029154602,0.00023437322,0.000076816665,0.0000020335815,0.00010029425,0.0027416698],"genre_scores_gemma":[0.9817125,0.0066271033,0.010841791,0.0006144074,0.00010949735,7.7247066e-8,0.0000010496736,0.000005647601,0.00008793242],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985061,0.00002936206,0.00052962085,0.00023407074,0.00028807812,0.00041272375],"domain_scores_gemma":[0.9989891,0.00007039972,0.00043769568,0.0001733562,0.00013244103,0.0001969919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002791753,0.0002380107,0.00044582636,0.000036526508,0.00017656466,0.00005424454,0.0004311219,0.0002401678,0.00045595856],"category_scores_gemma":[0.00010085965,0.00017759729,0.00013773504,0.0013470227,0.00033474644,0.0003608807,0.00001193547,0.00043722134,0.00001582085],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016541881,0.000085305815,0.33762777,0.000025375139,0.00010793114,0.00026410323,0.0001481556,0.00013367248,0.00007840554,0.0021972442,0.0016876563,0.657479],"study_design_scores_gemma":[0.003088881,0.009989983,0.69422835,0.0002731534,0.0003553159,0.008294459,0.006615334,0.0031875193,0.0005906425,0.21652512,0.055680387,0.0011708557],"about_ca_topic_score_codex":0.0000153464,"about_ca_topic_score_gemma":0.000008853398,"teacher_disagreement_score":0.6563081,"about_ca_system_score_codex":0.000005027217,"about_ca_system_score_gemma":0.00012870625,"threshold_uncertainty_score":0.72422075},"labels":[],"label_agreement":null},{"id":"W2053250666","doi":"10.1175/jtech-d-12-00140.1","title":"Estimating Oceanic Turbulence Dissipation from Seismic Images","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Office of Naval Research; National Science Foundation","keywords":"Dissipation; Geology; Turbulence; Reflector (photography); Noise (video); Geophysics; Geodesy; Seismology; Physics; Meteorology; Optics; Computer science","score_opus":0.003925065388256485,"score_gpt":0.18792261672929075,"score_spread":0.18399755134103427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053250666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710718,0.008509514,0.018405331,0.00105496,0.0003848535,0.000105818166,0.000006861183,0.000084551466,0.00037633296],"genre_scores_gemma":[0.9041084,0.0006489466,0.094826244,0.0001894396,0.00015176531,4.1683464e-7,0.0000032958656,0.0000070614506,0.00006439811],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99865913,0.000031488416,0.0005271895,0.00023697727,0.00022846466,0.0003167442],"domain_scores_gemma":[0.9988546,0.00014044694,0.0005447328,0.00016842475,0.00015435868,0.00013748265],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015733692,0.00020598994,0.00036306694,0.000015653464,0.00016322533,0.000089352776,0.00038378025,0.00017611402,0.0010666767],"category_scores_gemma":[0.00015617396,0.00015175986,0.000072231844,0.0005997374,0.00025744457,0.0006682569,0.000031670188,0.00037065792,0.000044143148],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025931377,0.00003885851,0.4554583,0.000037030524,0.00008697299,0.000043367596,0.00013422883,0.0011402597,0.0001848983,0.00005251829,0.0026710785,0.54012656],"study_design_scores_gemma":[0.00083370955,0.0007808305,0.7809809,0.0002050852,0.000118521384,0.00046746948,0.0017380927,0.16145281,0.00039066095,0.051041458,0.0015264886,0.00046400112],"about_ca_topic_score_codex":0.00016782331,"about_ca_topic_score_gemma":0.000004680929,"teacher_disagreement_score":0.53966254,"about_ca_system_score_codex":0.000006940654,"about_ca_system_score_gemma":0.0000828387,"threshold_uncertainty_score":0.99984646},"labels":[],"label_agreement":null},{"id":"W2054001858","doi":"10.1175/jtech-d-11-00069.1","title":"Simultaneous Velocity Ambiguity Resolution and Noise Suppression for Multifrequency Coherent Doppler Sonar","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Sonar; Doppler effect; Ambiguity function; Estimator; Acoustic Doppler velocimetry; Acoustics; Noise (video); Decorrelation; Turbulence; Physics; Remote sensing; Geology; Computer science; Algorithm; Laser Doppler velocimetry; Mathematics; Radar; Statistics; Meteorology; Telecommunications; Artificial intelligence","score_opus":0.02205832003711729,"score_gpt":0.2393791610915861,"score_spread":0.2173208410544688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054001858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578932,0.0018176752,0.03948504,0.00023838146,0.00014436607,0.00022261996,0.000021473903,0.000031922013,0.00014535038],"genre_scores_gemma":[0.9086057,0.0006596684,0.090599015,0.00002646098,0.000040309016,5.7850787e-7,0.0000021173641,0.000004837563,0.00006129157],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989783,0.00003812429,0.0003181476,0.00018315253,0.00017968126,0.00030258694],"domain_scores_gemma":[0.99923956,0.00015185525,0.00019451471,0.000112505455,0.00016984687,0.00013170499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031067003,0.00012347607,0.00023763826,0.000024387602,0.00015992067,0.000022125332,0.00020255579,0.00020150529,0.00024402104],"category_scores_gemma":[0.00015697756,0.00009006957,0.000038417773,0.00015509932,0.00026637487,0.0001344334,0.000036462567,0.00029874634,0.0000039098472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013180833,0.00021807881,0.30655596,0.00018465242,0.00015767945,0.00033671552,0.0009740534,0.001731601,0.004708236,0.0001525881,0.0019012608,0.6817611],"study_design_scores_gemma":[0.0033315439,0.004557678,0.2541482,0.00012248573,0.00014702085,0.0020977978,0.0012235406,0.69802475,0.0030681766,0.027420392,0.0053472677,0.00051117525],"about_ca_topic_score_codex":0.0001770842,"about_ca_topic_score_gemma":0.0000910792,"teacher_disagreement_score":0.6962931,"about_ca_system_score_codex":0.000015455213,"about_ca_system_score_gemma":0.00006672401,"threshold_uncertainty_score":0.36729303},"labels":[],"label_agreement":null},{"id":"W2054723735","doi":"10.1175/jtech-d-12-00142.1","title":"Modification and Tests of Particle Probe Tips to Mitigate Effects of Ice Shattering","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Haliburton Forest & Wild Life Reserve; Environment and Climate Change Canada","funders":"","keywords":"Particle (ecology); Wind tunnel; Spectrometer; Airflow; Remote sensing; Work (physics); Environmental science; Aerospace engineering; Materials science; Optics; Geology; Physics; Mechanical engineering; Engineering","score_opus":0.00498171184295751,"score_gpt":0.20305270857865093,"score_spread":0.19807099673569342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054723735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96738374,0.0032403767,0.029015493,0.0001650278,0.000075026765,0.00008100907,6.3170665e-7,0.00002113408,0.000017572545],"genre_scores_gemma":[0.9917496,0.0003754464,0.007826445,0.000012833792,0.000017294742,0.0000015606079,6.102294e-8,0.000011402635,0.00000536448],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994971,0.0000057445354,0.0002511977,0.00004798924,0.00005831948,0.00013965838],"domain_scores_gemma":[0.9997379,0.000037912163,0.000042529082,0.000077969235,0.000040976192,0.00006271611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009568673,0.00007086013,0.00019889146,0.00001299187,0.0000133287085,0.0000034013033,0.000062770196,0.00007568327,0.000002419637],"category_scores_gemma":[0.000025838754,0.00006193034,0.000020988942,0.00016584295,0.000044202563,0.000087544664,0.000017756476,0.000099174555,4.885017e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027185162,0.00008117975,0.051850956,0.00060875434,0.00008900076,0.000004756978,0.00071551354,0.00088488346,0.9039476,0.007069179,0.000056169396,0.034664832],"study_design_scores_gemma":[0.0021428673,0.0015664172,0.59975165,0.0006831063,0.00024214422,0.00042069162,0.0004699577,0.10392835,0.28781912,0.0017925341,0.0007453309,0.00043786402],"about_ca_topic_score_codex":0.0000015984506,"about_ca_topic_score_gemma":9.089462e-7,"teacher_disagreement_score":0.6161285,"about_ca_system_score_codex":0.000013500769,"about_ca_system_score_gemma":0.0000060012653,"threshold_uncertainty_score":0.2525446},"labels":[],"label_agreement":null},{"id":"W2056237624","doi":"10.1175/2008jtecho615.1","title":"Versatile Harmonic Tidal Analysis: Improvements and Applications","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Hydrographic Service; Fisheries and Oceans Canada","funders":"","keywords":"Software; Computer science; Altimeter; Algorithm; Series (stratigraphy); Satellite; Time series; Data mining; Remote sensing; Geodesy; Geology; Programming language; Machine learning","score_opus":0.005235964525097492,"score_gpt":0.18688176264098036,"score_spread":0.18164579811588286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056237624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97993237,0.01292422,0.006346805,0.00024635755,0.000055312128,0.000086217966,0.0000052275136,0.000038414062,0.00036506372],"genre_scores_gemma":[0.9867132,0.0046683587,0.008362296,0.0001138447,0.000054457578,6.1393547e-7,0.0000018861984,0.000003340905,0.00008205702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991064,0.000013169129,0.00033332067,0.00017773079,0.00015804027,0.00021134656],"domain_scores_gemma":[0.99934304,0.000044922268,0.00029625112,0.00012240937,0.00008115557,0.00011223719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011719285,0.00012895063,0.00031440178,0.000026464284,0.00020190426,0.000018121178,0.0001979759,0.00011384965,0.0001991245],"category_scores_gemma":[0.000019643974,0.00009924739,0.000071637114,0.0012494294,0.00032757016,0.00018896446,0.000023069251,0.00021234361,0.0000046878786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030230742,0.000031242045,0.88440436,0.000016114429,0.00037803792,0.00003456906,0.00007596467,0.000057702462,0.00002727864,0.00015090454,0.00020226982,0.11459134],"study_design_scores_gemma":[0.0010759148,0.00082691957,0.9731377,0.000015179859,0.0006152973,0.000818635,0.0013854208,0.004192745,0.00012112148,0.0037764332,0.01374745,0.00028719456],"about_ca_topic_score_codex":0.000031362968,"about_ca_topic_score_gemma":0.00001486018,"teacher_disagreement_score":0.11430415,"about_ca_system_score_codex":0.0000040356003,"about_ca_system_score_gemma":0.000074132106,"threshold_uncertainty_score":0.40471908},"labels":[],"label_agreement":null},{"id":"W2060391505","doi":"10.1175/2008jtecho585.1","title":"Modeling Pulse-to-Pulse Coherent Doppler Sonar","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sonar; Doppler effect; Profiling (computer programming); Computer science; Acoustics; Transducer; Bistatic radar; Physics; Radar; Radar imaging; Telecommunications","score_opus":0.01980569593900077,"score_gpt":0.23396262733684872,"score_spread":0.21415693139784794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060391505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93028915,0.0015484475,0.06644467,0.0010242793,0.0001336899,0.00010070337,0.0000044363687,0.000034750643,0.0004198453],"genre_scores_gemma":[0.95599616,0.00096129515,0.042622447,0.00014225623,0.00009033125,2.8186238e-7,9.831152e-7,0.0000067691913,0.00017949914],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866754,0.000029117551,0.000385388,0.00018200993,0.00034144003,0.00039451258],"domain_scores_gemma":[0.99934286,0.00004547675,0.00009463385,0.00014783499,0.00015242927,0.0002167815],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023265257,0.0001385673,0.00029292732,0.00004463554,0.00017122574,0.000025060379,0.00035308505,0.0001541297,0.0009663241],"category_scores_gemma":[0.000050027946,0.000103504106,0.000053408592,0.00044565735,0.0001488639,0.00013629848,0.00004598423,0.00044879783,0.000059981543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042236006,0.00016147348,0.35905096,0.000055806027,0.00024225227,0.0018631666,0.0008030695,0.31567356,0.0013961624,0.00010098362,0.00457315,0.31565705],"study_design_scores_gemma":[0.0011624637,0.0017151309,0.03778818,0.000051959418,0.00004359929,0.0077939495,0.0008447006,0.942058,0.00024424415,0.0037121912,0.004226703,0.00035887284],"about_ca_topic_score_codex":0.00011368339,"about_ca_topic_score_gemma":0.000055446388,"teacher_disagreement_score":0.62638444,"about_ca_system_score_codex":0.000016486672,"about_ca_system_score_gemma":0.00013096251,"threshold_uncertainty_score":0.99994695},"labels":[],"label_agreement":null},{"id":"W2060398853","doi":"10.1175/jtech1980.1","title":"Reconstruction of the Sizes of Spherical Particles from Their Shadow Images. Part I: Theoretical Considerations","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Pixel; Position (finance); Binary number; Optics; Monochromatic color; Computer science; Physics; Algorithm; Mathematics","score_opus":0.005032416609419725,"score_gpt":0.1962639849648789,"score_spread":0.19123156835545918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060398853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924041,0.0006770724,0.004972082,0.0009955397,0.00017936726,0.000077194185,0.0000034677244,0.000013238333,0.0006779603],"genre_scores_gemma":[0.96683156,0.00017946519,0.032843564,0.0000836896,0.000039754937,5.4002527e-7,7.6256235e-8,0.000008610475,0.000012729489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987948,0.000044350305,0.0006374599,0.00014159449,0.00019010542,0.000191724],"domain_scores_gemma":[0.99889594,0.00022199671,0.0005631431,0.00021261802,0.00004222447,0.00006405928],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032031178,0.00012047147,0.00032054048,8.8844195e-7,0.00008734642,0.000007460669,0.00020554246,0.00015712701,0.0019138452],"category_scores_gemma":[0.0001946997,0.00007288748,0.000107931126,0.0003059071,0.0021441625,0.00009257552,0.0001483671,0.00025155474,0.000002085316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001692807,0.00031795038,0.7257171,0.000010366335,0.00015071443,0.00002103051,0.0004991993,0.00014476247,0.07955889,0.028949413,0.0015661507,0.16289513],"study_design_scores_gemma":[0.0015171417,0.0008956229,0.4846169,0.00012241046,0.00020396161,0.00086829683,0.0071475934,0.0014046666,0.17628494,0.32540357,0.0012086869,0.00032620726],"about_ca_topic_score_codex":0.000024798064,"about_ca_topic_score_gemma":0.0000142964445,"teacher_disagreement_score":0.29645416,"about_ca_system_score_codex":0.00003889417,"about_ca_system_score_gemma":0.00003404844,"threshold_uncertainty_score":0.9989985},"labels":[],"label_agreement":null},{"id":"W2061537181","doi":"10.1175/2010jtecha1511.1","title":"Incorporating Ice Crystal Scattering Databases in the Simulation of Millimeter-Wavelength Radar Reflectivity","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Ice crystals; Snow; Environmental science; Radar; Lidar; Precipitation; Remote sensing; Satellite; Backscatter (email); Meteorology; Mie scattering; Graupel; Scattering; Atmospheric sciences; Geology; Light scattering; Optics; Physics","score_opus":0.011291488344894164,"score_gpt":0.2486592246117307,"score_spread":0.23736773626683655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061537181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895672,0.00008946514,0.009500875,0.00042654693,0.00009139991,0.00008642056,0.0000011325122,0.00001088633,0.00022607995],"genre_scores_gemma":[0.95755607,0.000032496213,0.042276405,0.00008148412,0.000036289206,8.8054617e-7,2.5116367e-7,0.000008976767,0.000007173161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989955,0.000048228023,0.00042292025,0.0001500502,0.00021331396,0.00017002958],"domain_scores_gemma":[0.9990794,0.00014472535,0.0005132637,0.00021061255,0.00001891496,0.00003305227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005622987,0.000118268625,0.00023796411,0.0000022608297,0.00008489866,0.000011663761,0.00028904952,0.00008477589,0.000090146204],"category_scores_gemma":[0.000143541,0.00008114987,0.000043688473,0.00049964,0.00035647285,0.00023752575,0.00015978163,0.00048879563,0.000001352116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010530156,0.00030292955,0.61677563,0.00002949051,0.000035342517,0.00006874038,0.000699212,0.0033679653,0.24153803,0.00049676315,0.00017261086,0.13640797],"study_design_scores_gemma":[0.0022870244,0.0015373074,0.90315723,0.00013205833,0.00012632916,0.0013033358,0.005236408,0.06446418,0.008268606,0.008035702,0.004805671,0.0006461169],"about_ca_topic_score_codex":0.000062467465,"about_ca_topic_score_gemma":0.00009307163,"teacher_disagreement_score":0.28638163,"about_ca_system_score_codex":0.00003328648,"about_ca_system_score_gemma":0.000021205227,"threshold_uncertainty_score":0.33091956},"labels":[],"label_agreement":null},{"id":"W2064835592","doi":"10.1175/jtech-d-13-00115.1","title":"Quantification of the Effects of Shattering on Airborne Ice Particle Measurements","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; Transport Canada; Federal Aviation Administration; National Aeronautics and Space Administration","keywords":"Instrumentation (computer programming); Particle (ecology); Spectrometer; Remote sensing; Environmental science; Ice crystals; Characterization (materials science); Materials science; Optics; Physics; Geology; Computer science","score_opus":0.00756027944695367,"score_gpt":0.20116568821282096,"score_spread":0.1936054087658673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064835592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975045,0.00029931805,0.0011777364,0.00058942207,0.0001304585,0.00013163697,1.2603357e-7,0.000007950819,0.00015888718],"genre_scores_gemma":[0.9975923,0.000068434776,0.002176111,0.000077305165,0.000009749343,0.000002290972,1.9235719e-8,0.000007448623,0.00006634977],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99915135,0.000029754345,0.00034760643,0.000103883496,0.00023190708,0.0001355039],"domain_scores_gemma":[0.9992012,0.00004262571,0.00048432275,0.00020447887,0.00003146104,0.000035936508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014591585,0.000086320135,0.00019515515,6.643813e-7,0.000047530757,0.0000051460083,0.00026796322,0.00007733059,0.00015911798],"category_scores_gemma":[0.0001050786,0.00005445508,0.000054654156,0.0002991883,0.00025287457,0.00009235737,0.00010276102,0.00013102312,0.000009699483],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032245807,0.00023477837,0.4482034,0.00005481521,0.000056882018,0.0000020086143,0.00021569093,0.00036863697,0.4768644,0.00043981467,0.00075791345,0.0727694],"study_design_scores_gemma":[0.00053920865,0.00068849296,0.84754026,0.0001035898,0.000044157943,0.000023904642,0.00030616412,0.0008481512,0.14882323,0.00075738353,0.00023910616,0.00008635539],"about_ca_topic_score_codex":0.000027741815,"about_ca_topic_score_gemma":0.0000017170848,"teacher_disagreement_score":0.39933684,"about_ca_system_score_codex":0.000039760274,"about_ca_system_score_gemma":0.000009721026,"threshold_uncertainty_score":0.22206137},"labels":[],"label_agreement":null},{"id":"W2064904998","doi":"10.1175/jtech-d-12-00149.1","title":"Test of a Method for Monitoring the Geostrophic Meridional Overturning Circulation Using Only Boundary Measurements","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Geostrophic wind; Geology; Ocean current; Hydrostatic equilibrium; Thermohaline circulation; Pressure gradient; Hydrostatic pressure; Geodesy; Gulf Stream; Boundary current; Zonal and meridional; Boundary (topology); Climatology; Flow (mathematics); Mechanics; Oceanography; Physics; Mathematics","score_opus":0.01836921702850505,"score_gpt":0.24510894254345894,"score_spread":0.2267397255149539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064904998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92926425,0.0072927196,0.06262523,0.00035567494,0.0002449987,0.00015872608,0.0000034821019,0.000016445918,0.000038483584],"genre_scores_gemma":[0.8367511,0.00017564085,0.1629132,0.000035758105,0.00011116946,4.5569067e-7,5.694092e-7,0.000005187721,0.0000069298735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886656,0.000033388857,0.0004644732,0.00013855899,0.00026592988,0.00023106932],"domain_scores_gemma":[0.9986451,0.0002877224,0.00061118376,0.00010716903,0.00029052864,0.000058275684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044386383,0.00013728341,0.00029459028,0.000011306713,0.00022907704,0.00004110589,0.00024908097,0.000117205214,0.00007835822],"category_scores_gemma":[0.00027140055,0.000089018744,0.00009280596,0.00047670736,0.00018054452,0.00029098394,0.000017926342,0.00021896686,7.445322e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002701068,0.000022079865,0.8208987,0.000040184663,0.000092240116,0.0000019495558,0.00006422546,0.0011388877,0.0022977174,0.00003892119,0.000032795153,0.17534527],"study_design_scores_gemma":[0.0009136225,0.00082645076,0.89175963,0.00019012109,0.00019175236,0.00076197885,0.001791904,0.09206927,0.0007526957,0.00968383,0.0008261825,0.00023256082],"about_ca_topic_score_codex":0.00008797315,"about_ca_topic_score_gemma":0.0000037449954,"teacher_disagreement_score":0.17511271,"about_ca_system_score_codex":0.000010292263,"about_ca_system_score_gemma":0.0001985127,"threshold_uncertainty_score":0.3630079},"labels":[],"label_agreement":null},{"id":"W2068196980","doi":"10.1175/2010jtecha1463.1","title":"Observational Studies of Atmospheric Aerosols over Bozeman, Montana, Using a Two-Color Lidar, a Water Vapor DIAL, a Solar Radiometer, and a Ground-Based Nephelometer over a 24-h Period","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; National Aeronautics and Space Administration","keywords":"Nephelometer; Lidar; Aerosol; Environmental science; AERONET; Sun photometer; Radiometer; Remote sensing; Optical depth; Atmospheric sciences; Meteorology; Geology; Physics; Light scattering; Scattering; Optics","score_opus":0.021924347754194006,"score_gpt":0.268026367661943,"score_spread":0.246102019907749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068196980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945035,0.0017441595,0.0023896047,0.00053737056,0.00045097986,0.00030308324,0.0000047857043,0.000041480587,0.000025063056],"genre_scores_gemma":[0.8938337,0.00022131726,0.10532097,0.00035490404,0.000098103366,0.000011522059,8.045243e-7,0.000047000034,0.00011167699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972937,0.000064794025,0.0010136832,0.0004880217,0.000532087,0.00060773204],"domain_scores_gemma":[0.9984169,0.00012478094,0.0007839055,0.0003738356,0.00010461304,0.00019593655],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005315498,0.0004491073,0.0009983716,0.0000051828847,0.000284292,0.000066332184,0.0004155091,0.0003568269,0.000831263],"category_scores_gemma":[0.00015412031,0.0003177764,0.00021921413,0.00074538984,0.0013018368,0.0004925785,0.0004277092,0.00067105115,0.0000043993437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007779114,0.0007522959,0.54630697,0.00015809097,0.0008204437,0.0004299097,0.0019365954,0.0008073068,0.4288467,0.00036630713,0.0008905921,0.017906895],"study_design_scores_gemma":[0.025377344,0.01043603,0.78017694,0.0005946412,0.0022369383,0.0067847343,0.0066552204,0.1166816,0.018526906,0.0104672145,0.018268963,0.0037934443],"about_ca_topic_score_codex":0.00013005063,"about_ca_topic_score_gemma":0.00006770692,"teacher_disagreement_score":0.4103198,"about_ca_system_score_codex":0.00018489637,"about_ca_system_score_gemma":0.00009249114,"threshold_uncertainty_score":0.9999274},"labels":[],"label_agreement":null},{"id":"W2068603911","doi":"10.1175/jtech-d-13-00258.1","title":"Real-Time Radar Reflectivity Calibration from Differential Phase Measurements","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Disdrometer; Differential phase; Radar; Precipitation; Calibration; Environmental science; Remote sensing; Azimuth; Meteorology; Geology; Phase (matter); Optics; Physics; Computer science; Rain gauge; Telecommunications","score_opus":0.014929564177543217,"score_gpt":0.23390534799561333,"score_spread":0.21897578381807012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068603911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98420423,0.0002640362,0.01440988,0.00039158706,0.0001618151,0.00004050271,0.0000046069663,0.000035326484,0.0004880152],"genre_scores_gemma":[0.990863,0.0001448443,0.008765276,0.000034535908,0.00013674675,1.07991546e-7,0.000008552477,0.0000032110245,0.00004368005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989652,0.000110665234,0.0003358177,0.0001448643,0.00029389496,0.00014952617],"domain_scores_gemma":[0.99930805,0.00006241234,0.0003511793,0.00011028906,0.00008724495,0.00008085142],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035272658,0.000110863046,0.0002876197,0.000026964208,0.000106694846,0.00003614795,0.0001625165,0.00010954079,0.00093079294],"category_scores_gemma":[0.00011498201,0.000084738895,0.00006697659,0.0002700455,0.00006782148,0.00023144473,0.000009287602,0.00015251862,0.0000122924275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043710333,0.00020723314,0.4751709,0.000013112261,0.00044083505,0.000012794751,0.0001924546,0.00013184789,0.1075423,0.0001294103,0.0015015837,0.41422042],"study_design_scores_gemma":[0.011368917,0.004431399,0.71137565,0.00015183698,0.0010756968,0.00009376083,0.0005855984,0.2175422,0.016398609,0.03214026,0.0038840827,0.00095199735],"about_ca_topic_score_codex":0.00009075923,"about_ca_topic_score_gemma":0.000046785844,"teacher_disagreement_score":0.41326842,"about_ca_system_score_codex":0.000009749635,"about_ca_system_score_gemma":0.000039202154,"threshold_uncertainty_score":0.9999825},"labels":[],"label_agreement":null},{"id":"W2070727302","doi":"10.1175/jtech-d-14-00034.1","title":"A General Numerical Method for Analyzing the Linear Stability of Stratified Parallel Shear Flows","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eigenvalues and eigenvectors; Stratification (seeds); Shear (geology); Stability (learning theory); Numerical analysis; Turbulence; Shear flow; Mathematical analysis; Mathematics; Linear stability; Amplitude; Numerical stability; Mechanics; Physics; Instability; Geology; Computer science","score_opus":0.019259217019603436,"score_gpt":0.2576274596658139,"score_spread":0.23836824264621048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070727302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65020967,0.0005543034,0.34820777,0.0007682907,0.000063491185,0.000087171546,0.0000038180096,0.000009054242,0.00009641661],"genre_scores_gemma":[0.7118432,0.000034769186,0.28798565,0.000063716405,0.000062670166,3.092138e-7,9.054474e-7,0.000001638178,0.000007121255],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990092,0.00012664036,0.00045760762,0.00012606311,0.0001055324,0.0001749379],"domain_scores_gemma":[0.99884355,0.0005715654,0.00028307078,0.000143852,0.00009463203,0.00006330304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091717485,0.000091338,0.00033893454,0.00001042183,0.00011287021,0.000010413091,0.000217322,0.00011238448,0.0002423467],"category_scores_gemma":[0.00033701767,0.00005003093,0.00009870495,0.00025568728,0.00011821486,0.000059864073,0.000012904049,0.00020952868,9.0741634e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079469435,0.00016738864,0.4182739,0.00007684125,0.00032471106,0.000005534747,0.00041131637,0.15136626,0.0018507646,0.018242255,0.0002826328,0.40820372],"study_design_scores_gemma":[0.0005439431,0.0014527527,0.074662976,0.000005341626,0.00007290789,0.000030846888,0.00021418334,0.8853322,0.000088718014,0.03494246,0.0025548195,0.000098840654],"about_ca_topic_score_codex":0.000023783303,"about_ca_topic_score_gemma":0.000012112781,"teacher_disagreement_score":0.73396593,"about_ca_system_score_codex":0.0000030514313,"about_ca_system_score_gemma":0.000035534475,"threshold_uncertainty_score":0.26535264},"labels":[],"label_agreement":null},{"id":"W2073485491","doi":"10.1175/2010jtecha1393.1","title":"Simulation and Interpretation of the Phase Data Used by the Radar Refractivity Retrieval Algorithm","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Radar; Terrain; Remote sensing; Phase (matter); Depth sounding; Environmental science; Refractive index; Algorithm; Computer science; Meteorology; Geology; Optics; Physics; Geography","score_opus":0.007303761443335125,"score_gpt":0.2609401910106442,"score_spread":0.2536364295673091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073485491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851828,0.00022233029,0.013037851,0.0012227544,0.00018127114,0.00006461257,0.0000015499467,0.000006332918,0.00008045017],"genre_scores_gemma":[0.99335027,0.000033568536,0.0065136193,0.000051252497,0.00002567912,1.4624162e-8,3.8656685e-7,0.000004585642,0.000020620599],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944496,0.000034212993,0.00019434885,0.000105642335,0.00014562464,0.00007518242],"domain_scores_gemma":[0.99923116,0.00014007876,0.0003355191,0.00025806174,0.000014112459,0.00002108217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032364955,0.00006316506,0.00012234163,0.0000030425504,0.000087724555,0.000010486147,0.00024221145,0.00010719858,0.000008532376],"category_scores_gemma":[0.0002304436,0.000032758016,0.000020311334,0.00019706703,0.0003968262,0.00016538528,0.00019264466,0.00037326323,3.464268e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054973578,0.000051712785,0.0038455336,0.0000021692806,0.000021309868,0.000002520491,0.00022936998,0.000073064395,0.04663526,0.000008281825,0.00026549524,0.94881034],"study_design_scores_gemma":[0.002599251,0.00069786486,0.074718356,0.000048498096,0.00022760285,0.0007255632,0.00154355,0.88797265,0.01275475,0.003412425,0.015074014,0.00022544681],"about_ca_topic_score_codex":0.00002457534,"about_ca_topic_score_gemma":0.000024389059,"teacher_disagreement_score":0.94858485,"about_ca_system_score_codex":0.000015537154,"about_ca_system_score_gemma":0.000011657032,"threshold_uncertainty_score":0.16216637},"labels":[],"label_agreement":null},{"id":"W2077532394","doi":"10.1175/jtech-d-12-00247.1","title":"Performance of Hot Plate for Measuring Solid Precipitation in Complex Terrain during the 2010 Vancouver Winter Olympics","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Snow; Wind speed; Altitude (triangle); Environmental science; Precipitation; Terrain; Atmospheric sciences; Meteorology; Climatology; Geology; Physics; Geography; Mathematics","score_opus":0.015088096702175351,"score_gpt":0.20772251643774842,"score_spread":0.19263441973557308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077532394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99799,0.0006445694,0.00038364378,0.00044984274,0.00030309305,0.00016679731,0.000002626453,0.000007861564,0.000051539795],"genre_scores_gemma":[0.99240553,0.00036434302,0.00700486,0.000048267928,0.000044367527,0.0000011487754,5.901335e-7,0.0000032234834,0.00012764745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999253,0.0000122274405,0.0003806427,0.00008415021,0.000098141245,0.00017183837],"domain_scores_gemma":[0.9994075,0.00008857458,0.0002897388,0.00008542296,0.000105021965,0.000023786546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017564232,0.00008417741,0.00020965091,0.000011437153,0.00011125615,0.000011559916,0.0001664387,0.00006472879,0.00016271857],"category_scores_gemma":[0.000055224602,0.000053929387,0.000042773652,0.00021838257,0.00011315873,0.00017717872,0.000019152918,0.00012778421,0.0000011686808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011065661,0.000022548058,0.94902015,0.000057367466,0.00005926127,0.0000016446089,0.0007115819,0.004146359,0.0006132838,0.000013175715,0.0019326892,0.043311257],"study_design_scores_gemma":[0.0005147776,0.00029987132,0.9564459,0.000035625333,0.000013102109,0.000023161067,0.0019235496,0.039317343,0.00008969493,0.00029778585,0.00097369286,0.00006550934],"about_ca_topic_score_codex":0.00007294562,"about_ca_topic_score_gemma":0.00061139715,"teacher_disagreement_score":0.043245748,"about_ca_system_score_codex":0.000009613743,"about_ca_system_score_gemma":0.000021476042,"threshold_uncertainty_score":0.21991765},"labels":[],"label_agreement":null},{"id":"W2081716334","doi":"10.1175/1520-0426(2000)017<0795:wmoamt>2.0.co;2","title":"Wind Measurements on a Maneuvering Twin-Engine Turboprop Aircraft Accounting for Flow Distortion","year":2000,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fuselage; Calibration; Aerodynamics; Environmental science; Delta wing; Dynamic pressure; Static pressure; Mechanics; Geodesy; Distortion (music); Meteorology; Physics; Geology; Aerospace engineering; Engineering","score_opus":0.007060401310829852,"score_gpt":0.19798819232118983,"score_spread":0.19092779101035998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081716334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978194,0.0011327305,0.019310458,0.0005038344,0.00027697042,0.00014607234,0.0000018222048,0.0002834122,0.00015072856],"genre_scores_gemma":[0.9855416,0.00034031906,0.0137702795,0.00006175762,0.00011663145,0.000003681616,8.4146376e-7,0.000035283396,0.00012960593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905986,0.0000055991263,0.00038566874,0.00013843748,0.000144387,0.00026606963],"domain_scores_gemma":[0.99958825,0.000020686535,0.0001301457,0.00014747363,0.000069914226,0.0000435192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015919143,0.00017228333,0.00029813382,0.000036449284,0.00008156838,0.000017109442,0.00017356426,0.00025268292,0.000071723705],"category_scores_gemma":[0.000044911198,0.00015684942,0.00007314213,0.00028330978,0.000051013398,0.00015252858,0.000015193805,0.00033522764,0.000008224822],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011761324,0.000101775215,0.008184707,0.00013165265,0.00026308163,0.000032294265,0.0001640991,0.030320993,0.009333137,0.00021448376,0.0028134703,0.9483227],"study_design_scores_gemma":[0.023354713,0.009126458,0.08458085,0.0019017541,0.001215084,0.0031657782,0.0029059479,0.39145133,0.13232607,0.019550981,0.32597443,0.004446598],"about_ca_topic_score_codex":5.9374634e-7,"about_ca_topic_score_gemma":0.0000010590444,"teacher_disagreement_score":0.9438761,"about_ca_system_score_codex":0.00011435174,"about_ca_system_score_gemma":0.000015769761,"threshold_uncertainty_score":0.6396134},"labels":[],"label_agreement":null},{"id":"W2082227113","doi":"10.1175/2008jtecha1139.1","title":"Onboard Real-Time Absolute Radiometric Calibration for Thermal Infrared Channels of Chinese Geostationary Meteorological Satellites","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Natural Science Foundation of China","keywords":"Radiance; Geostationary orbit; Radiometric calibration; Remote sensing; Environmental science; Calibration; Radiometer; Satellite; Brightness temperature; Black-body radiation; Meteorology; Geostationary Operational Environmental Satellite; Brightness; Physics; Optics; Geology; Astronomy","score_opus":0.01030565614382753,"score_gpt":0.21489414752659133,"score_spread":0.2045884913827638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082227113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641503,0.0021130277,0.03283762,0.00016661549,0.00012461592,0.00018790415,0.0000047339204,0.00021622611,0.00019892966],"genre_scores_gemma":[0.9318655,0.0027484987,0.06516038,0.00003567898,0.00007629168,0.0000069018897,0.0000045950715,0.000021162326,0.000081000435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990662,0.00001911657,0.0005056956,0.00009398755,0.00016029208,0.00015471085],"domain_scores_gemma":[0.9993988,0.000098381504,0.00021564838,0.00010230878,0.00013262857,0.000052189793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020869226,0.0001353601,0.00035615748,0.000094366114,0.000048106434,0.000008612821,0.00014394481,0.00020085201,0.00004588406],"category_scores_gemma":[0.00011829259,0.000106524574,0.00009214902,0.00066980167,0.00010322903,0.00020737991,0.000020945552,0.00013873042,5.928011e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006270839,0.00034804118,0.017845048,0.00027211904,0.00066093233,0.00008871874,0.001003554,0.0063083614,0.90083694,0.0033897732,0.009663434,0.058955994],"study_design_scores_gemma":[0.010313344,0.009788831,0.2152522,0.00023061423,0.00039884966,0.003083133,0.00051921484,0.4554883,0.24691626,0.04090061,0.0152134085,0.001895241],"about_ca_topic_score_codex":8.737765e-7,"about_ca_topic_score_gemma":9.278933e-8,"teacher_disagreement_score":0.6539207,"about_ca_system_score_codex":0.000034414108,"about_ca_system_score_gemma":0.000037564958,"threshold_uncertainty_score":0.43439463},"labels":[],"label_agreement":null},{"id":"W2082238833","doi":"10.1175/jtech2033.1","title":"The Atmospheric Radiation Measurement Program Cloud Profiling Radars: Second-Generation Sampling Strategies, Processing, and Cloud Data Products","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Remote sensing; Radar; Doppler effect; Doppler radar; Computer science; Environmental science; Cloud computing; Ceilometer; Sampling (signal processing); Meteorology; Filter (signal processing); Physics; Geology; Telecommunications; Lidar","score_opus":0.02682349040637729,"score_gpt":0.2663336155802584,"score_spread":0.23951012517388112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082238833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621673,0.014206803,0.021240385,0.00081949815,0.0006965569,0.00054471206,0.0000012821081,0.000094675815,0.00022876577],"genre_scores_gemma":[0.8958982,0.0011587045,0.10209944,0.00007624225,0.00065345346,0.0000057298066,0.0000030413844,0.000030745094,0.00007440748],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759835,0.00005151944,0.00079288287,0.00048179924,0.00056677515,0.00050868903],"domain_scores_gemma":[0.99841166,0.00004138044,0.00083379704,0.00046184703,0.00012195323,0.00012938582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002253871,0.00027226948,0.00032327804,0.0000012556538,0.00057592744,0.00019624403,0.000590955,0.00022137372,0.000038796232],"category_scores_gemma":[0.00020922147,0.00018990242,0.000034990262,0.00070118596,0.0005041453,0.00059794635,0.0003452458,0.00048023177,0.00000264504],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010930782,0.0001743775,0.022409007,0.000055130102,0.00008305893,0.000021375805,0.00031688105,0.00020193048,0.014620394,0.0007001733,0.002553771,0.9587546],"study_design_scores_gemma":[0.005047666,0.0050130426,0.16145207,0.00030575748,0.0006186906,0.0025823517,0.01994924,0.06073293,0.008765925,0.0056793033,0.72774905,0.0021039962],"about_ca_topic_score_codex":0.00001643887,"about_ca_topic_score_gemma":0.000082405015,"teacher_disagreement_score":0.9566506,"about_ca_system_score_codex":0.00023167998,"about_ca_system_score_gemma":0.00020632005,"threshold_uncertainty_score":0.77439964},"labels":[],"label_agreement":null},{"id":"W2083106486","doi":"10.1175/jtech-d-11-00021.1","title":"Parameterization of Runway Visual Range as a Function of Visibility: Implications for Numerical Weather Prediction Models","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Visibility; Nowcasting; Snow; Environmental science; Meteorology; Precipitation; Relative humidity; Weather Research and Forecasting Model; Numerical weather prediction; Atmospheric sciences; Range (aeronautics); Climatology; Physics; Geology; Materials science","score_opus":0.02700416449340763,"score_gpt":0.23558409661164736,"score_spread":0.20857993211823972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083106486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79084224,0.0004197885,0.20809369,0.00008137618,0.00007193548,0.00015839971,0.000016572789,0.000014454388,0.0003015528],"genre_scores_gemma":[0.9844447,0.00009653555,0.015387011,0.000029330173,0.000022380336,0.0000014063862,0.000004402278,0.000002949015,0.000011286216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916905,0.000033477303,0.00048503114,0.00011830036,0.000083200044,0.00011091302],"domain_scores_gemma":[0.9991609,0.00010790712,0.00041693414,0.0001023302,0.00016289037,0.000049068796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022606362,0.000077570614,0.00025818913,0.000026996557,0.000055412776,0.0000036703452,0.00010048275,0.00013892888,0.00022329284],"category_scores_gemma":[0.00009902663,0.000056656212,0.00007290095,0.00030055878,0.0001210735,0.0001661743,0.000008370045,0.0000899516,7.9456424e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013344001,0.00036826602,0.7478096,0.000066695015,0.00020469591,9.327459e-7,0.00046678953,0.0062343325,0.0021134831,0.018512944,0.000044831595,0.22284307],"study_design_scores_gemma":[0.0007129513,0.004722514,0.7108202,0.000014264104,0.00012993728,0.000026546793,0.0002445751,0.07337561,0.00010740154,0.20962226,0.00014343862,0.00008030251],"about_ca_topic_score_codex":0.000016377337,"about_ca_topic_score_gemma":0.000001901577,"teacher_disagreement_score":0.22276276,"about_ca_system_score_codex":0.0000042516126,"about_ca_system_score_gemma":0.00003525399,"threshold_uncertainty_score":0.24449},"labels":[],"label_agreement":null},{"id":"W2084100268","doi":"10.1175/jtech-d-13-00058.1","title":"A Novel and Low-Cost Sea Ice Mass Balance Buoy","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Office of Naval Research; British Antarctic Survey; Natural Environment Research Council; Sight Research UK","keywords":"Thermistor; Buoy; Snow; Instrumentation (computer programming); Environmental science; Sea ice; Computer science; Remote sensing; Software deployment; Ocean observations; Meteorology; Marine engineering; Real-time computing; Geology; Electrical engineering; Oceanography; Engineering","score_opus":0.00395147281167309,"score_gpt":0.17821281113134568,"score_spread":0.17426133831967258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084100268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829338,0.0010271083,0.013052527,0.00222168,0.00018964,0.000107911335,0.000006904481,0.000026819964,0.00043359285],"genre_scores_gemma":[0.9677172,0.0010562968,0.03065272,0.00036906239,0.00006775682,3.273135e-7,0.0000012736992,0.0000044059784,0.00013101076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991546,0.000012743952,0.0002876904,0.00014618637,0.0001333843,0.00026538462],"domain_scores_gemma":[0.99936616,0.0000841425,0.00023538669,0.00010601007,0.000085380525,0.00012291764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014714147,0.00013085072,0.00025724692,0.000014941446,0.000108252716,0.000037942682,0.00018941106,0.00014618828,0.00032914252],"category_scores_gemma":[0.00006199008,0.0000957761,0.000035268076,0.0002319717,0.00024460544,0.00026157132,0.00002300191,0.00033003197,0.000019133042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030935542,0.000026261376,0.8617808,0.000034704593,0.000053434862,0.000039098984,0.00009275376,0.00008269168,0.00041258795,0.0004386992,0.0005843797,0.1364236],"study_design_scores_gemma":[0.0014649667,0.00059295114,0.87011814,0.00010443696,0.00007467057,0.0033281345,0.0026760541,0.10816223,0.000049717488,0.0078081186,0.0052637337,0.00035681718],"about_ca_topic_score_codex":0.00013814222,"about_ca_topic_score_gemma":0.0000127907515,"teacher_disagreement_score":0.1360668,"about_ca_system_score_codex":0.000006429999,"about_ca_system_score_gemma":0.000052232877,"threshold_uncertainty_score":0.39056358},"labels":[],"label_agreement":null},{"id":"W2084826907","doi":"10.1175/jtech2045.1","title":"Lidar-Based Characterization of the Geometry and Structure of Water Clouds","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Lidar; Azimuth; Range (aeronautics); Remote sensing; Autocorrelation; Elevation (ballistics); Liquid water content; Histogram; Environmental science; Ranging; Geology; Meteorology; Physics; Geometry; Cloud computing; Geodesy; Optics; Materials science; Computer science; Mathematics","score_opus":0.002417281386639207,"score_gpt":0.182637892830821,"score_spread":0.18022061144418178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084826907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99515355,0.0001479045,0.004120298,0.0003393906,0.0001138474,0.00006523531,0.0000018021857,0.0000066823286,0.00005131623],"genre_scores_gemma":[0.99569494,0.00005391848,0.0040801424,0.00009306048,0.00002171161,9.826316e-8,2.6988675e-7,0.000008774621,0.000047102618],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99912345,0.000015139127,0.00040356707,0.00010560791,0.00018465768,0.00016755945],"domain_scores_gemma":[0.9993423,0.000019578962,0.00041800895,0.00015003806,0.000027714097,0.000042317966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018918813,0.00010353915,0.00024147333,0.0000017227919,0.000054689302,0.000004394867,0.0002080468,0.00017179202,0.00025639948],"category_scores_gemma":[0.000024333902,0.000056967187,0.00004908973,0.00034394508,0.0004739303,0.000066427245,0.00013618336,0.00019548486,4.6309523e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053927895,0.000038245653,0.39487234,0.000017614191,0.000019804507,0.000003970678,0.00012387049,0.000031043357,0.5863079,0.00012842774,0.000017876873,0.018385015],"study_design_scores_gemma":[0.000568182,0.00041104248,0.77100956,0.00003100219,0.000047966987,0.000121224635,0.00029096944,0.00019202038,0.22507025,0.00081987196,0.0013364997,0.00010138342],"about_ca_topic_score_codex":0.00000702811,"about_ca_topic_score_gemma":0.0000027807969,"teacher_disagreement_score":0.37613723,"about_ca_system_score_codex":0.00002908652,"about_ca_system_score_gemma":0.000013369292,"threshold_uncertainty_score":0.28073946},"labels":[],"label_agreement":null},{"id":"W2085271015","doi":"10.1175/jtech2027.1","title":"Three-Dimensional Mapping of Fluorescent Dye Using a Scanning, Depth-Resolving Airborne Lidar","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"Office of Naval Research; Universidad del Atlántico; Florida Atlantic University; U.S. Army Corps of Engineers; Woods Hole Oceanographic Institution","keywords":"Lidar; Remote sensing; TRACER; Attenuation; Ranging; Seawater; Temporal resolution; Environmental science; Fluorescence; Materials science; Optics; Near-infrared spectroscopy; Image resolution; Geology; Physics; Geodesy","score_opus":0.007921658668353761,"score_gpt":0.21267516932982405,"score_spread":0.2047535106614703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085271015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87815297,0.0012103698,0.12015843,0.00009980533,0.00013756055,0.00008768773,3.4127663e-7,0.000023593859,0.00012927897],"genre_scores_gemma":[0.7664581,0.00007269846,0.23332477,0.000062313826,0.000035644716,2.5636186e-7,1.343556e-7,0.00002112956,0.00002495546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981954,0.000011447669,0.0007329833,0.0002432676,0.00038913643,0.0004277582],"domain_scores_gemma":[0.99888927,0.000045639204,0.0006955809,0.00020398114,0.000020750898,0.00014480176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005206135,0.00021933374,0.00041223186,0.000012838201,0.00012941958,0.000008833741,0.0003143076,0.00023014228,0.00019687484],"category_scores_gemma":[0.000047781567,0.00019008105,0.00011061229,0.0005363706,0.0006478498,0.00017249,0.00037710895,0.0003888898,0.0000044577155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001450862,0.00023436111,0.84384423,0.000026461703,0.000115997886,0.00023248557,0.00024989832,0.019395439,0.035082787,0.00023098146,0.00016824405,0.10027402],"study_design_scores_gemma":[0.0015718469,0.0008252824,0.90642405,0.00025161976,0.00013540205,0.0018194279,0.0018809511,0.07927181,0.0030525737,0.00240743,0.001842299,0.0005172977],"about_ca_topic_score_codex":0.00010135048,"about_ca_topic_score_gemma":0.000025745632,"teacher_disagreement_score":0.11316635,"about_ca_system_score_codex":0.00030746104,"about_ca_system_score_gemma":0.000029359107,"threshold_uncertainty_score":0.775128},"labels":[],"label_agreement":null},{"id":"W2089140064","doi":"10.1175/jtech-d-12-00190.1","title":"Automated Discrimination of Certain Brightness Fronts in RADARSAT-2 Images of the Ocean Surface","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography; Defence Research and Development Canada; Dalhousie University","funders":"National Aeronautics and Space Administration","keywords":"Synthetic aperture radar; Remote sensing; Geology; Brightness; Moderate-resolution imaging spectroradiometer; Satellite; Physics","score_opus":0.003572754018914439,"score_gpt":0.1864956262262967,"score_spread":0.18292287220738226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089140064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99266106,0.005897623,0.00022339521,0.0007549557,0.00015139548,0.0001251098,0.0000052028454,0.000028918374,0.00015235519],"genre_scores_gemma":[0.99259835,0.00086121,0.0064333426,0.000027141301,0.0000119524675,3.2462527e-8,7.974027e-7,0.0000044548865,0.000062740706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987918,0.00005718084,0.0005938005,0.00012875417,0.00022315161,0.0002052965],"domain_scores_gemma":[0.9988605,0.00009357035,0.0006808968,0.0001508216,0.00016903025,0.000045201214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022820274,0.00013584159,0.00038846032,0.00001233655,0.00005279101,0.000013206986,0.00041066832,0.0001417392,0.00016157706],"category_scores_gemma":[0.00009712196,0.00008147872,0.00007081591,0.00088259386,0.00041325385,0.00029268806,0.000031610813,0.00022140141,0.0000011550379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030903197,0.000064659434,0.96809256,0.00009225385,0.000037820882,0.000006573387,0.00017719997,0.00083955063,0.00037897675,0.00008440935,0.00049513596,0.029699955],"study_design_scores_gemma":[0.00061423174,0.0002649502,0.979722,0.00015732537,0.000035495483,0.00006688782,0.0018396578,0.010369341,0.0025825875,0.004046509,0.00018732077,0.00011368471],"about_ca_topic_score_codex":0.00049310824,"about_ca_topic_score_gemma":0.000056509405,"teacher_disagreement_score":0.02958627,"about_ca_system_score_codex":0.0000061997093,"about_ca_system_score_gemma":0.00009483292,"threshold_uncertainty_score":0.33226058},"labels":[],"label_agreement":null},{"id":"W2090037534","doi":"10.1175/jtech-d-13-00172.1","title":"Reduced-Rank Sigma-Point Kalman Filter and Its Application in ENSO Model","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Northern British Columbia","funders":"","keywords":"Kalman filter; Singular value decomposition; Covariance; Rank (graph theory); Sigma; Covariance matrix; Mathematics; Ensemble Kalman filter; Extended Kalman filter; Filter (signal processing); Computer science; Algorithm; Data assimilation; Control theory (sociology); Statistics; Physics; Meteorology; Artificial intelligence; Combinatorics","score_opus":0.008052527977876645,"score_gpt":0.2141088854619456,"score_spread":0.20605635748406895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090037534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980033,0.00020587015,0.017378133,0.0017092881,0.000025280277,0.00009781377,5.779145e-7,0.000017398821,0.00053266017],"genre_scores_gemma":[0.99194604,0.00033047958,0.0074929763,0.00015915003,0.00001444524,0.0000026976259,1.8540679e-7,0.0000075614225,0.000046481546],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992213,0.000022678545,0.00030788794,0.00018498018,0.000096724216,0.00016643372],"domain_scores_gemma":[0.999593,0.00003609507,0.00016252705,0.00013892313,0.000011704839,0.00005770564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003859979,0.00009570034,0.00020276468,0.000010574341,0.000044996083,0.000007816289,0.00014317056,0.00015142755,0.000051298397],"category_scores_gemma":[0.00006617218,0.00007988028,0.00002491856,0.00017449864,0.00012654749,0.00015045196,0.00012719061,0.00022258177,0.000005502097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039463807,0.0010640114,0.14995877,0.0001831666,0.00008616899,0.000041388368,0.002990385,0.0899811,0.37106726,0.05283007,0.001939746,0.32946327],"study_design_scores_gemma":[0.001055754,0.00033050944,0.01898415,0.00003318667,0.00003030443,0.0002597008,0.00018846185,0.90434664,0.0013575597,0.070599586,0.0025958926,0.00021823602],"about_ca_topic_score_codex":0.000009631514,"about_ca_topic_score_gemma":0.000010847221,"teacher_disagreement_score":0.81436557,"about_ca_system_score_codex":0.000059504502,"about_ca_system_score_gemma":0.000008233418,"threshold_uncertainty_score":0.3257423},"labels":[],"label_agreement":null},{"id":"W2098041255","doi":"10.1175/2008jtecha1077.1","title":"On the Possible Use of Copolar Correlation Coefficient for Improving the Drop Size Distribution Estimates at C Band","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Disdrometer; Correlation coefficient; Reflectivity; Environmental science; Remote sensing; Drop (telecommunication); Radar; Atmospheric sciences; Physics; Computer science; Mathematics; Statistics; Optics; Geology; Rain gauge","score_opus":0.014955072398307833,"score_gpt":0.1992785740303869,"score_spread":0.18432350163207906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098041255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764982,0.0009327956,0.021551702,0.0007803624,0.00009528477,0.00010273138,0.000015268857,0.0000086629525,0.000014979586],"genre_scores_gemma":[0.99846584,0.0001276071,0.0012671489,0.00005450985,0.000016521111,3.2401886e-7,0.000005116247,0.0000017581946,0.00006118102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935395,0.000029203318,0.00026183832,0.00007559051,0.00016882355,0.00011061054],"domain_scores_gemma":[0.9986401,0.00073500833,0.00037827986,0.000088880326,0.0001336218,0.000024096329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342531,0.0000702804,0.00014345798,0.0000063466487,0.0003347544,0.000018982417,0.00012159494,0.00006065298,0.00009075978],"category_scores_gemma":[0.00072761986,0.000035452482,0.00006313645,0.0002598917,0.00018645127,0.00009338832,0.000007539226,0.000112892696,0.0000017797195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000415199,0.000074178526,0.94874734,0.000027019021,0.00016505955,0.0000073965375,0.00034455452,0.020465598,0.0027918536,0.0017071893,0.0038544838,0.021400124],"study_design_scores_gemma":[0.0009805124,0.0014362705,0.61231554,0.000053954347,0.00025599578,0.00018005916,0.00069677917,0.37574834,0.0036377485,0.0029941383,0.0015338488,0.00016681898],"about_ca_topic_score_codex":0.000021479798,"about_ca_topic_score_gemma":0.000012600909,"teacher_disagreement_score":0.35528272,"about_ca_system_score_codex":0.000011413734,"about_ca_system_score_gemma":0.00003562861,"threshold_uncertainty_score":0.25746942},"labels":[],"label_agreement":null},{"id":"W2101253582","doi":"10.1175/jtech-d-13-00191.1","title":"Measuring Stratospheric H2O with an Airborne Spectrometer","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radiance; Remote sensing; Environmental science; Hyperspectral imaging; Radiative transfer; Spectrometer; Spectral resolution; Detector; Tropopause; Stratosphere; Atmospheric radiative transfer codes; Infrared; Water vapor; Spectral line; Meteorology; Optics; Physics; Geology","score_opus":0.008419104163570473,"score_gpt":0.18437097395508295,"score_spread":0.17595186979151248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101253582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893684,0.00131917,0.0066700387,0.0003415423,0.0001297459,0.000062628205,0.000001121883,0.00006951973,0.0020378313],"genre_scores_gemma":[0.92979664,0.0002759442,0.069574066,0.00015378612,0.00013008564,2.0448847e-7,8.291608e-7,0.000010192809,0.00005823002],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986682,0.00005327877,0.00039755818,0.00023370268,0.0002630959,0.0003841926],"domain_scores_gemma":[0.9990665,0.00005273343,0.00037071205,0.00023208869,0.00009511253,0.00018285746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035047153,0.00020857493,0.00042215787,0.000008947212,0.00012735721,0.00005251896,0.0003238356,0.00015097564,0.00069154095],"category_scores_gemma":[0.000035644014,0.00014000421,0.000054753604,0.0005477879,0.0002106585,0.00037825687,0.000016302878,0.00037338957,0.00001940885],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035052892,0.000092799,0.38939127,0.00003626822,0.00016676197,0.00017031946,0.00014876014,0.0006133445,0.00021519123,0.0013074607,0.00013534035,0.6073719],"study_design_scores_gemma":[0.003221205,0.017692639,0.91866326,0.0001411798,0.00029708093,0.0054808557,0.0037782176,0.022275766,0.00053957116,0.012909492,0.014030676,0.0009700612],"about_ca_topic_score_codex":0.000041579384,"about_ca_topic_score_gemma":0.00008197855,"teacher_disagreement_score":0.6064019,"about_ca_system_score_codex":0.000008569277,"about_ca_system_score_gemma":0.000067153225,"threshold_uncertainty_score":0.7571888},"labels":[],"label_agreement":null},{"id":"W2102033711","doi":"10.1175/1520-0426(2003)020<1804:eafmca>2.0.co;2","title":"Efficient Algorithms for Maximum Covariance Analysis of Datasets with Many Variables and Fewer Realizations: A Revisit","year":2003,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Singular value decomposition; Algorithm; Principal component analysis; Covariance; Covariance matrix; Eigenvalues and eigenvectors; Matrix decomposition; Computer science; Eigendecomposition of a matrix; QR decomposition; Decomposition; Factorization; Mathematics; Statistics; Artificial intelligence","score_opus":0.008986900124469933,"score_gpt":0.25137273272243926,"score_spread":0.24238583259796934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102033711","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01553588,0.0015407267,0.98213947,0.00051901914,0.000026471951,0.00014363926,0.000012481663,0.00003736451,0.000044961056],"genre_scores_gemma":[0.21311937,0.00038514155,0.7863255,0.00013239075,0.0000053688586,0.000003958642,0.0000022815739,0.0000066543134,0.000019312394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903524,0.000057395133,0.00041414937,0.00020689152,0.00014701577,0.00013932225],"domain_scores_gemma":[0.99874043,0.00011131182,0.0005362698,0.00031444783,0.00024908056,0.000048427555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074683625,0.00010989885,0.00039114602,0.00008039132,0.0000703617,0.000041287247,0.0002934452,0.000114571936,0.0000058114906],"category_scores_gemma":[0.00016941734,0.000083882675,0.000044835677,0.0015618629,0.00011481036,0.00012296472,0.000061838065,0.00012105327,8.7804246e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006613176,0.0002650146,0.0033069141,0.00007759033,0.0011015338,0.00003011557,0.00043751716,0.006639968,0.0003391647,0.9529575,0.0014361885,0.033342324],"study_design_scores_gemma":[0.0033093994,0.002912453,0.0052403654,0.00030046114,0.0018372389,0.0013247326,0.00072514726,0.87182677,0.0027975573,0.05883714,0.050182097,0.0007066316],"about_ca_topic_score_codex":0.0000028658787,"about_ca_topic_score_gemma":0.0000012078068,"teacher_disagreement_score":0.8941204,"about_ca_system_score_codex":0.000020342442,"about_ca_system_score_gemma":0.000087500244,"threshold_uncertainty_score":0.34206364},"labels":[],"label_agreement":null},{"id":"W2102568768","doi":"10.1175/jtech-d-12-00198.1","title":"An Intercomparison of Acoustic Current Meter Measurements in Low to Moderate Flow Regions","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Current meter; Current (fluid); Doppler effect; Environmental science; Acoustic Doppler current profiler; Metre; Sampling (signal processing); Range (aeronautics); Geodesy; Remote sensing; Flow measurement; Flow (mathematics); Compass; Geology; Meteorology; Physics; Oceanography; Optics; Materials science","score_opus":0.02820306782563495,"score_gpt":0.27142079445229705,"score_spread":0.2432177266266621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102568768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8681522,0.0006887105,0.13048437,0.00032759036,0.00014261203,0.00014843594,0.000002349137,0.0000108874665,0.000042850483],"genre_scores_gemma":[0.97052747,0.00015235927,0.029243939,0.00003518797,0.00002434722,7.2517514e-7,8.428102e-7,0.0000044209937,0.000010698874],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876225,0.00006259797,0.00045695604,0.00015394206,0.0002751623,0.00028908998],"domain_scores_gemma":[0.9992817,0.00004244613,0.00015620117,0.00016378742,0.00020266726,0.00015320594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031007014,0.00011513729,0.00032086144,0.00007767235,0.000036935842,0.00003573558,0.00035474362,0.000094111514,0.0002517998],"category_scores_gemma":[0.00006799759,0.00008555199,0.000034917066,0.00043315635,0.000099094425,0.00023279697,0.000029933455,0.0003599255,0.00001713029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022831118,0.00032725764,0.41942412,0.00010984479,0.00009752596,0.000029164736,0.0007100801,0.24183154,0.00882492,0.000008939768,0.0010206298,0.32738766],"study_design_scores_gemma":[0.0007284327,0.0014965327,0.100936584,0.00017546955,0.0000300754,0.00009930358,0.000669619,0.890931,0.0012012011,0.0034576955,0.00009953236,0.00017453145],"about_ca_topic_score_codex":0.00012509066,"about_ca_topic_score_gemma":0.00023567346,"teacher_disagreement_score":0.64909947,"about_ca_system_score_codex":0.000019253144,"about_ca_system_score_gemma":0.00007440077,"threshold_uncertainty_score":0.34887087},"labels":[],"label_agreement":null},{"id":"W2102791407","doi":"10.1175/jtech-d-13-00020.1","title":"Calibrations and Performance of the Airborne Cloud Extinction Probe","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ice crystals; Extinction (optical mineralogy); Scattering; SPHERES; Environmental science; Particle (ecology); Attenuation; Computational physics; Precipitation; Remote sensing; Materials science; Atmospheric sciences; Optics; Physics; Meteorology; Geology","score_opus":0.004229977894353091,"score_gpt":0.16802440261730814,"score_spread":0.16379442472295505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102791407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969522,0.0012567678,0.0003317692,0.0009581708,0.00013646216,0.000076718265,0.0000011274581,0.0000112534335,0.00027556118],"genre_scores_gemma":[0.99485254,0.00038510174,0.0044905585,0.00005365954,0.000059536556,3.2507722e-7,2.87415e-7,0.0000020011773,0.00015599758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994341,0.00001392121,0.00026368204,0.000081283986,0.00009260957,0.00011439917],"domain_scores_gemma":[0.99948573,0.000032511653,0.00027937052,0.00010015866,0.00005885741,0.000043391723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008817236,0.00007689424,0.00015284398,0.0000017300607,0.0001030863,0.000014550501,0.00014288476,0.00009709771,0.00039950086],"category_scores_gemma":[0.00003499902,0.000045898127,0.000030110345,0.00024481377,0.00024385733,0.00019193765,0.00002193232,0.00019345294,0.0000023219748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033770757,0.00002625622,0.87915176,0.0000515809,0.000036829188,0.000002268157,0.00010302304,0.00015052443,0.0029581406,0.00015955626,0.00057369255,0.1167526],"study_design_scores_gemma":[0.00038214828,0.0005205008,0.98313767,0.000054375127,0.00003508344,0.0005315632,0.0006595938,0.0062213545,0.0047595864,0.0017579392,0.001829994,0.00011022001],"about_ca_topic_score_codex":0.000022853823,"about_ca_topic_score_gemma":0.0000048093057,"teacher_disagreement_score":0.11664238,"about_ca_system_score_codex":0.0000026713574,"about_ca_system_score_gemma":0.000041636347,"threshold_uncertainty_score":0.43742543},"labels":[],"label_agreement":null},{"id":"W2108221229","doi":"10.1175/1520-0426(2001)018<1258:teosmf>2.0.co;2","title":"The Evaluation of Salinity Measurements from PALACE Floats","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Salinity; Temperature salinity diagrams; Environmental science; Float (project management); Conductivity; Geology; Structural basin; Meteorology; Oceanography; Ocean current; Climatology; Remote sensing; Marine engineering; Geography; Physics; Geomorphology","score_opus":0.030149165650942302,"score_gpt":0.2510096229262763,"score_spread":0.22086045727533402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108221229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97270226,0.024943804,0.00060107873,0.000605684,0.000306703,0.00008200093,0.0000026444902,0.000017117462,0.00073867466],"genre_scores_gemma":[0.993101,0.003419694,0.0033347416,0.00004779391,0.00007179834,1.9999196e-7,0.0000010046673,0.0000031643044,0.000020594356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856114,0.000092961694,0.00046542037,0.0001257213,0.0005603242,0.00019441925],"domain_scores_gemma":[0.9986517,0.00016363125,0.00054759224,0.0001604133,0.00041156678,0.00006512719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012231203,0.00011577452,0.00024650813,0.0000068675176,0.0001664472,0.00002281732,0.00032954634,0.00012252961,0.0002932472],"category_scores_gemma":[0.00033922953,0.00007044606,0.000062256266,0.0005852694,0.0002624628,0.00015206092,0.000017135742,0.00021117888,0.0000037170962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007344983,0.000021053223,0.6687503,0.0000038962903,0.000083568775,0.0000043750533,0.00004798135,0.00019652437,0.000041232946,0.000026389971,0.00023165178,0.33051962],"study_design_scores_gemma":[0.0012763806,0.0005522668,0.95421404,0.00006497184,0.0002608201,0.0001362379,0.0019495197,0.008768907,0.00029594862,0.02623794,0.0060816873,0.0001613128],"about_ca_topic_score_codex":0.00008181361,"about_ca_topic_score_gemma":0.00012514883,"teacher_disagreement_score":0.3303583,"about_ca_system_score_codex":0.0000072259795,"about_ca_system_score_gemma":0.00015661695,"threshold_uncertainty_score":0.32108513},"labels":[],"label_agreement":null},{"id":"W2110422638","doi":"10.1175/jtech-d-12-00151.1","title":"The Case of Sharp Velocity Transitions in High Vertical Wind Shear When Measuring Doppler Velocities with Narrow Nyquist Intervals","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Doppler effect; Nyquist–Shannon sampling theorem; Wind shear; Shear (geology); Geology; Nyquist frequency; Wind speed; Physics; Geodesy; Meteorology; Mathematics; Mathematical analysis; Telecommunications","score_opus":0.012104907886110206,"score_gpt":0.18849020776394168,"score_spread":0.17638529987783147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110422638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702454,0.0007739641,0.00016680633,0.0017650912,0.000078316,0.000096415555,0.000005507697,0.0000073123138,0.000082044266],"genre_scores_gemma":[0.9966324,0.000029121285,0.003257695,0.000036089743,0.000023192453,4.5547154e-7,5.805048e-7,0.0000033545725,0.00001712729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911094,0.000043543474,0.0003602069,0.00010558479,0.00016416628,0.00021553368],"domain_scores_gemma":[0.9995022,0.000054971282,0.00012349355,0.000112533235,0.00014157963,0.00006524621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031545022,0.000105388826,0.00024938083,0.00001637995,0.0001530164,0.00003310557,0.00017494726,0.00008268769,0.00016296275],"category_scores_gemma":[0.00003652257,0.00006384824,0.00004217591,0.00021083673,0.00030574162,0.0001645677,0.000011426065,0.00028846157,0.000004659568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007126704,0.0003992335,0.6849403,0.00023959749,0.0006643378,0.0014926603,0.0072263647,0.0019926562,0.0013262505,0.0048287185,0.0013678564,0.29480937],"study_design_scores_gemma":[0.0016589749,0.0013229395,0.95261747,0.00016471487,0.000081376194,0.002852991,0.0069927955,0.0045698904,0.00037429822,0.028743751,0.0003653981,0.00025538306],"about_ca_topic_score_codex":0.00069532514,"about_ca_topic_score_gemma":0.0006796385,"teacher_disagreement_score":0.29455397,"about_ca_system_score_codex":0.000009455737,"about_ca_system_score_gemma":0.00006395114,"threshold_uncertainty_score":0.26036558},"labels":[],"label_agreement":null},{"id":"W2111379200","doi":"10.1175/jtech-d-12-00005.1","title":"A Behavioral Probabilistic Risk Assessment Framework for Managing Autonomous Underwater Vehicle Deployments","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Submarine Engineering (Canada)","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Computer science; Risk assessment; Expert elicitation; Software deployment; Bayes' theorem; Probabilistic logic; Process (computing); Risk analysis (engineering); Range (aeronautics); Bayesian network; Operations research; Bayesian probability; Artificial intelligence; Engineering; Computer security; Statistics; Business","score_opus":0.04097629516352327,"score_gpt":0.3691405623533232,"score_spread":0.32816426718979996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111379200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6697704,0.0010558715,0.3266382,0.0020545642,0.00027409222,0.0001249671,0.000002617179,0.00002887634,0.000050399158],"genre_scores_gemma":[0.82637465,0.0003211572,0.1730207,0.00007127523,0.00008636512,0.0000048852285,1.9945166e-7,0.000013620945,0.00010715429],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99788946,0.00009770701,0.0008760599,0.00023623131,0.00048407228,0.000416449],"domain_scores_gemma":[0.9979006,0.00046142025,0.00088633195,0.00034062003,0.00025814807,0.00015288549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018840054,0.00016233715,0.00050295825,0.00005869866,0.00023689837,0.000096084776,0.00051623385,0.0002219821,0.00008774961],"category_scores_gemma":[0.0005183828,0.00010936159,0.00020765646,0.0006752718,0.00016488704,0.00037833836,0.0001465292,0.00044112589,0.000009747427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010109422,0.0004985863,0.45772946,0.000009546467,0.00020579205,0.000018245031,0.0004209679,0.000402743,0.0000805499,0.022466008,0.00063768256,0.5174293],"study_design_scores_gemma":[0.00092796795,0.0008919253,0.08440311,0.000034523273,0.0004851803,0.00015920609,0.0031403739,0.011127211,0.000087080036,0.89007014,0.008419601,0.00025369995],"about_ca_topic_score_codex":0.000007730814,"about_ca_topic_score_gemma":0.000003560274,"teacher_disagreement_score":0.86760414,"about_ca_system_score_codex":0.000119891076,"about_ca_system_score_gemma":0.00007569843,"threshold_uncertainty_score":0.44596362},"labels":[],"label_agreement":null},{"id":"W2111994038","doi":"10.1175/jtech-d-12-00146.1","title":"Signal Postprocessing and Reflectivity Calibration of the Atmospheric Radiation Measurement Program 915-MHz Wind Profilers","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Oceanic and Atmospheric Administration; Natural Environment Research Council; Sight Research UK; U.S. Department of Energy","keywords":"Wind profiler; Disdrometer; Remote sensing; Environmental science; Context (archaeology); Doppler effect; Wind speed; Calibration; Meteorology; Computer science; Radar; Geology; Rain gauge; Physics; Telecommunications","score_opus":0.01172598845647392,"score_gpt":0.2118667632876237,"score_spread":0.20014077483114978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111994038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99424046,0.0030243264,0.0012423045,0.0010464777,0.000086477085,0.00022904477,8.8024535e-7,0.00002155719,0.00010849637],"genre_scores_gemma":[0.9918578,0.00016498244,0.007868047,0.000050781437,0.000037047284,8.962551e-7,7.270817e-7,0.0000033188405,0.000016363669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988593,0.000082189574,0.00038258266,0.00013385992,0.00038616994,0.00015592741],"domain_scores_gemma":[0.99899685,0.000026836837,0.00057155313,0.000088311055,0.0002578327,0.000058636953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046412853,0.000112283305,0.00022658319,0.000011294734,0.00014785117,0.00005269774,0.00014755118,0.00010475296,0.00014464853],"category_scores_gemma":[0.00010879353,0.00007141019,0.00005738203,0.0006031245,0.00016507835,0.00040906624,0.000014104112,0.00018604806,9.027813e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026157315,0.000036117,0.5814966,0.000030586274,0.00007702817,6.7880165e-7,0.00013668911,0.0004960235,0.003345872,0.000014773875,0.00009728022,0.4142422],"study_design_scores_gemma":[0.0004912787,0.0006176614,0.9354889,0.000074573756,0.00011691575,0.00004123447,0.0007279944,0.058870826,0.0012935995,0.0019488948,0.00020139496,0.00012677156],"about_ca_topic_score_codex":0.00008073465,"about_ca_topic_score_gemma":0.000034764653,"teacher_disagreement_score":0.41411543,"about_ca_system_score_codex":0.000016357102,"about_ca_system_score_gemma":0.00011378213,"threshold_uncertainty_score":0.2912023},"labels":[],"label_agreement":null},{"id":"W2112985153","doi":"10.1175/jtech-d-11-00199.1","title":"Improved Imaging and Image Analysis System for Application to Measurement of Small Ice Crystals","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canadian Space Agency","keywords":"Polygon (computer graphics); Particle (ecology); Optics; Pixel; Materials science; Remote sensing; Computer science; Geology; Physics","score_opus":0.0055646573614841245,"score_gpt":0.20761634365568618,"score_spread":0.20205168629420206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112985153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60766065,0.00096930156,0.39083168,0.00023145,0.000037151854,0.00017038586,0.0000011089878,0.000014697831,0.00008357379],"genre_scores_gemma":[0.90719783,0.00004258486,0.092656404,0.00003692575,0.00003015906,0.000008922799,1.5025455e-7,0.000010467978,0.000016555327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898136,0.000016758844,0.00043337946,0.00015923247,0.00016382376,0.00024547768],"domain_scores_gemma":[0.9991498,0.000022076856,0.0004639537,0.00016695005,0.000071779934,0.0001254214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006191937,0.00012396237,0.0003608856,0.0000034455404,0.00006996918,0.000011024532,0.00016900866,0.00007645798,0.000020540598],"category_scores_gemma":[0.00004984378,0.000099616555,0.00008353093,0.0005363398,0.00012655268,0.00012000935,0.00012188813,0.00008753395,0.0000010803406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015166451,0.0001861522,0.5449089,0.00013421064,0.00045749164,0.0000025978607,0.00047840743,0.00023659573,0.33935836,0.0006564862,0.00037128045,0.113057874],"study_design_scores_gemma":[0.005780177,0.0028426915,0.7576061,0.00024134167,0.006031495,0.00081601494,0.025805678,0.12698205,0.050127473,0.0012027619,0.020853044,0.0017111889],"about_ca_topic_score_codex":0.00003515309,"about_ca_topic_score_gemma":0.0000066226,"teacher_disagreement_score":0.29953718,"about_ca_system_score_codex":0.00014156435,"about_ca_system_score_gemma":0.000011725094,"threshold_uncertainty_score":0.40622452},"labels":[],"label_agreement":null},{"id":"W2115012166","doi":"10.1175/1520-0426(2002)019<1003:pcimap>2.0.co;2","title":"Profiling Cloud Ice Mass and Particle Characteristic Size from Doppler Radar Measurements","year":2002,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Ice cloud; Doppler effect; Radar; Particle-size distribution; Remote sensing; Liquid water content; Particle size; Particle (ecology); Ice crystals; Environmental science; Geology; Meteorology; Atmospheric sciences; Optics; Physics; Cloud computing; Radiative transfer","score_opus":0.012045506777618498,"score_gpt":0.19841133449013826,"score_spread":0.18636582771251975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115012166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994471,0.0019295382,0.0019069102,0.0010220027,0.00023392054,0.00010062452,0.0000018670531,0.00003890294,0.00029524026],"genre_scores_gemma":[0.9612154,0.00060292514,0.037605755,0.00023632385,0.00009809276,0.0000019437111,1.5918333e-7,0.000018470397,0.00022097796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998689,0.000035455247,0.00043624858,0.0002516434,0.000277627,0.00031005012],"domain_scores_gemma":[0.99923563,0.00006496766,0.00035282967,0.00018185536,0.000022107759,0.00014262993],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019860221,0.00018237517,0.00032929517,6.702631e-7,0.0001334288,0.000030545503,0.00022323671,0.00015979845,0.0015750669],"category_scores_gemma":[0.00011692895,0.00014671759,0.000048102236,0.00025703845,0.00025396625,0.00018037463,0.00013552391,0.00028895616,0.000036123944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009481049,0.00020112736,0.81996053,0.000015100674,0.00013743364,0.000120082776,0.00037896537,0.0000196761,0.12836702,0.00016514963,0.0021252697,0.048414845],"study_design_scores_gemma":[0.009933384,0.0035190685,0.87787914,0.00026592435,0.00085580273,0.001657593,0.005811311,0.021119783,0.02930093,0.013812818,0.03367743,0.002166837],"about_ca_topic_score_codex":0.000016827713,"about_ca_topic_score_gemma":0.0000020454456,"teacher_disagreement_score":0.099066086,"about_ca_system_score_codex":0.00007903121,"about_ca_system_score_gemma":0.000007753984,"threshold_uncertainty_score":0.9993376},"labels":[],"label_agreement":null},{"id":"W2115423126","doi":"10.1175/jtech-d-11-00048.1","title":"Three-Apogee 16-h Highly Elliptical Orbit as Optimal Choice for Continuous Meteorological Imaging of Polar Regions","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Environment and Climate Change Canada","funders":"","keywords":"Orbit (dynamics); Elliptic orbit; Frozen orbit; Ground track; Orbital inclination; Orbital eccentricity; Eccentricity (behavior); Physics; Satellite; Geodesy; Polar orbit; Spacecraft; Equator; Sun-synchronous orbit; Orbital maneuver; Polar; Geosynchronous orbit; Geology; Mathematics; Astronomy; Aerospace engineering; Latitude; Planet","score_opus":0.009086080910940661,"score_gpt":0.2251823295735223,"score_spread":0.21609624866258165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115423126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73417586,0.00066837325,0.26396853,0.00044328862,0.00012508291,0.00010988803,0.000007835032,0.000023946075,0.00047723664],"genre_scores_gemma":[0.9315948,0.000033483986,0.06813806,0.00003953666,0.000102036865,0.0000029921025,0.0000013567375,0.000018942103,0.000068807756],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988997,0.000017513794,0.00046743962,0.00018354543,0.00011331493,0.0003184674],"domain_scores_gemma":[0.9989264,0.00015256993,0.0004378287,0.00018278215,0.00019873162,0.000101692036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019370363,0.00018044333,0.0005200164,0.000023584726,0.000087733555,0.000014572086,0.00029536957,0.00015409947,0.000098089884],"category_scores_gemma":[0.000080726706,0.00014250915,0.000202433,0.00020375762,0.0002905166,0.00011491803,0.00008407584,0.0004059101,0.0000025901713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004748382,0.0005687031,0.5613188,0.000026970647,0.0006133052,0.000044887078,0.00022190534,0.000024266996,0.0018470878,0.39948884,0.001153185,0.034217212],"study_design_scores_gemma":[0.019316211,0.015891995,0.11518289,0.000367482,0.003206066,0.0031680458,0.017090205,0.056824915,0.012432415,0.69073516,0.06304387,0.002740746],"about_ca_topic_score_codex":0.00006261585,"about_ca_topic_score_gemma":0.000004544659,"teacher_disagreement_score":0.4461359,"about_ca_system_score_codex":0.000022693908,"about_ca_system_score_gemma":0.00007780309,"threshold_uncertainty_score":0.58113545},"labels":[],"label_agreement":null},{"id":"W2116300329","doi":"10.1175/jtech-1674.1","title":"A Laterally Averaged Nonhydrostatic Ocean Model","year":2004,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Turbulence; Geology; Mechanics; Hydrostatic equilibrium; Stratified flows; Amplitude; Frontogenesis; Stratified flow; Flow (mathematics); Meteorology; Physics; Statistical physics; Climatology; Mesoscale meteorology","score_opus":0.0038797781171511733,"score_gpt":0.1802967106446225,"score_spread":0.17641693252747132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116300329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98133326,0.0039262217,0.012741365,0.001184496,0.00015263371,0.00007482913,0.000004411844,0.000072003655,0.00051079394],"genre_scores_gemma":[0.94723225,0.0012349745,0.05099705,0.00039449363,0.000048387657,7.9444284e-8,0.0000012321777,0.00000780762,0.00008372832],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871737,0.000015846861,0.00048608243,0.00019926684,0.00023438313,0.00034705238],"domain_scores_gemma":[0.999193,0.000039185335,0.00036008933,0.00014706657,0.00010852886,0.00015212937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002148677,0.00020225986,0.00038048738,0.00001991311,0.00015136687,0.000044797143,0.00034487684,0.00017189991,0.00012382354],"category_scores_gemma":[0.00006346938,0.00015027053,0.0000889371,0.0006554492,0.0002553271,0.00033620917,0.000023351602,0.0003955177,0.0000108125505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048809283,0.0003169701,0.6604068,0.0002356791,0.0004725837,0.001175963,0.0017495512,0.15889671,0.0003164654,0.005721734,0.0013179516,0.16890149],"study_design_scores_gemma":[0.010620258,0.0062252763,0.20600171,0.0005938808,0.00047131217,0.008186293,0.0037281262,0.18279867,0.00079866155,0.57412976,0.004578952,0.0018670914],"about_ca_topic_score_codex":0.000023646973,"about_ca_topic_score_gemma":0.000015723017,"teacher_disagreement_score":0.568408,"about_ca_system_score_codex":0.000009953901,"about_ca_system_score_gemma":0.00021280958,"threshold_uncertainty_score":0.6127854},"labels":[],"label_agreement":null},{"id":"W2116543418","doi":"10.1175/jtech-d-13-00044.1","title":"Scanning ARM Cloud Radars. Part I: Operational Sampling Strategies","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Biological and Environmental Research; U.S. Department of Energy","keywords":"Cloud computing; Computer science; Azimuth; Radar; Remote sensing; Elevation (ballistics); Environmental science; Cloud cover; Real-time computing; Geology; Telecommunications; Engineering; Physics","score_opus":0.007733381010454846,"score_gpt":0.2183647248702553,"score_spread":0.21063134385980045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116543418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746903,0.0008296224,0.019721115,0.0024561225,0.00030275554,0.000101248,4.654282e-7,0.00003702596,0.00186131],"genre_scores_gemma":[0.94527483,0.00022516437,0.053611428,0.00029557847,0.000161755,0.00000307154,3.0221983e-7,0.000016009231,0.00041187767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985745,0.000026333082,0.00055976486,0.0002183735,0.00031572478,0.00030531632],"domain_scores_gemma":[0.99923325,0.000049938826,0.00036718932,0.00017904176,0.000052841828,0.00011775191],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025709838,0.00017472886,0.00031301455,0.0000016051592,0.0001845017,0.00010697599,0.0003600513,0.00017254324,0.0034300636],"category_scores_gemma":[0.000067785666,0.00013300343,0.000072186886,0.00037758448,0.00036471398,0.0004879833,0.00019795515,0.00035748567,0.00007033088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009287682,0.00052806886,0.54512256,0.000029719493,0.0002871635,0.000120397046,0.001084369,0.011772094,0.013837979,0.029805077,0.057440534,0.33987916],"study_design_scores_gemma":[0.003768793,0.003720286,0.4885243,0.00020972565,0.00020869306,0.003630494,0.029870432,0.0170789,0.0012174146,0.18829869,0.26172897,0.001743331],"about_ca_topic_score_codex":0.000039359977,"about_ca_topic_score_gemma":0.0000029076064,"teacher_disagreement_score":0.3381358,"about_ca_system_score_codex":0.00008828714,"about_ca_system_score_gemma":0.0000644221,"threshold_uncertainty_score":0.9974809},"labels":[],"label_agreement":null},{"id":"W2116787253","doi":"10.1175/2008jtecho599.1","title":"Improved ENSO Prediction by Singular Vector Analysis in a Hybrid Coupled Model","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Aeronautics and Space Administration","keywords":"El Niño Southern Oscillation; Tangent; Oscillation (cell signaling); Southern oscillation; Computer science; Applied mathematics; Singular spectrum analysis; Forecast skill; Mathematics; Algorithm; Meteorology; Climatology; Statistics; Geology; Singular value decomposition; Physics; Geometry","score_opus":0.005656590398443726,"score_gpt":0.19418002430140222,"score_spread":0.18852343390295848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116787253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9359935,0.0002745136,0.06323427,0.00031675037,0.00003395217,0.000071681905,0.0000043032783,0.000026126316,0.000044931996],"genre_scores_gemma":[0.98858577,0.00053654634,0.010733546,0.00006119441,0.000008450314,0.0000014814901,0.0000011338341,0.000007506061,0.000064391614],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990202,0.000019650197,0.00041511864,0.00019522275,0.00014619554,0.00020362294],"domain_scores_gemma":[0.999515,0.000025414158,0.00021865436,0.0001593272,0.000017452548,0.00006418126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002459808,0.00011089569,0.0003239921,0.000022462431,0.00007362675,0.0000065183044,0.00015453485,0.00012925513,0.00012492471],"category_scores_gemma":[0.00006320898,0.00009592684,0.00008382844,0.000660689,0.00023449051,0.00015338894,0.00008128339,0.00025259104,0.0000017531931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040941712,0.001227803,0.65528613,0.000027559041,0.0005817538,0.0002259833,0.0010550532,0.14545132,0.18562376,0.00023285566,0.0022389654,0.007639392],"study_design_scores_gemma":[0.00063640956,0.00023203513,0.013584962,0.000005065589,0.00012403703,0.0001979152,0.00006592845,0.9833812,0.00038427036,0.0010967592,0.00019539545,0.00009600218],"about_ca_topic_score_codex":0.00005428886,"about_ca_topic_score_gemma":0.000011413863,"teacher_disagreement_score":0.8379299,"about_ca_system_score_codex":0.00016314286,"about_ca_system_score_gemma":0.000024424176,"threshold_uncertainty_score":0.3911783},"labels":[],"label_agreement":null},{"id":"W2118538388","doi":"10.1175/jtech-d-11-00026.1","title":"Determining Size Distributions and Composition of Particles Suspended in Water: A New SEM–EDS Protocol with Validation and Comparison to Other Methods","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Seawater; Particle-size distribution; Particle size; Context (archaeology); Mineralogy; Spectrometer; Materials science; Particle (ecology); Analytical Chemistry (journal); Biogeochemical cycle; Environmental science; Optics; Chemistry; Environmental chemistry; Physics; Geology","score_opus":0.018319196914647826,"score_gpt":0.26695726341396364,"score_spread":0.2486380664993158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118538388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996717,0.00006306539,0.00848712,0.00012886788,0.000012799821,0.001211791,0.0000015449482,0.000008265884,0.00011939761],"genre_scores_gemma":[0.9450442,0.0000069277958,0.05490515,0.000011603532,0.00000802231,0.000014443575,4.583506e-7,0.0000019140055,0.000007273102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993934,0.000050564577,0.00029379126,0.00008864949,0.000057290625,0.00011628508],"domain_scores_gemma":[0.99964887,0.00004389334,0.00015863804,0.00005284105,0.00003035954,0.00006540212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023559573,0.000070854905,0.00022120353,0.000015773045,0.000035121462,0.0000139211725,0.00005582122,0.000054949578,0.000090842266],"category_scores_gemma":[0.000017548162,0.00004498126,0.000010535814,0.00014418548,0.000056461042,0.00010802493,0.000020127452,0.000089799934,3.6392194e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022980866,0.000029006133,0.8032245,0.000030509731,0.000019163937,0.0000071263066,0.0004573321,0.000023480748,0.0014144516,0.00011818593,0.000009536528,0.19443686],"study_design_scores_gemma":[0.0032469742,0.0058931964,0.9046411,0.00026295512,0.00009380459,0.00096329773,0.0024514224,0.012699175,0.060052153,0.0072698863,0.0021112524,0.0003147697],"about_ca_topic_score_codex":0.0002982743,"about_ca_topic_score_gemma":0.00034937682,"teacher_disagreement_score":0.19412209,"about_ca_system_score_codex":0.0000028912418,"about_ca_system_score_gemma":0.000021335549,"threshold_uncertainty_score":0.18342826},"labels":[],"label_agreement":null},{"id":"W2118648852","doi":"10.1175/2008jtecha1095.1","title":"Effects of Multiple Scattering on Attenuation-Based Retrievals of Stratiform Rainfall from CloudSat","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Attenuation; Environmental science; Remote sensing; Radar; Precipitation; Scattering; Snow; Rayleigh scattering; Range (aeronautics); Global Precipitation Measurement; Backscatter (email); Meteorology; Atmospheric sciences; Geology; Computer science; Materials science; Physics; Optics","score_opus":0.01071137062822504,"score_gpt":0.19642247723599618,"score_spread":0.18571110660777113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118648852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967179,0.0011365486,0.0016874014,0.00023742142,0.00008561399,0.000059996928,0.0000065265967,0.000009805859,0.000058826896],"genre_scores_gemma":[0.9936631,0.0002145075,0.0060183904,0.000058503207,0.000030628205,1.0626495e-7,0.000003400417,0.0000024091842,0.000008996898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908066,0.000033894266,0.0004304289,0.00009555278,0.00025335967,0.00010610555],"domain_scores_gemma":[0.99876463,0.00042103502,0.00055560697,0.00009239148,0.00012301847,0.000043324322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020584337,0.00008967076,0.00031358952,0.000034888428,0.00005312932,0.000004338044,0.00015325274,0.00009234248,0.00012261633],"category_scores_gemma":[0.0003233979,0.00006883195,0.00008268072,0.00034075868,0.00013769857,0.00008306793,0.000005199056,0.0001290869,0.000002528129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016278023,0.000049753882,0.9643821,0.000035092613,0.00011893967,0.000016010863,0.0001399786,0.0015687804,0.011045185,0.000016071492,0.00010150279,0.022363799],"study_design_scores_gemma":[0.0014674505,0.0008948847,0.9532798,0.00015563266,0.00009481091,0.000011281288,0.00020269047,0.010330768,0.032721315,0.0006546316,0.00007770366,0.00010904777],"about_ca_topic_score_codex":0.000064627086,"about_ca_topic_score_gemma":0.000026143167,"teacher_disagreement_score":0.02225475,"about_ca_system_score_codex":0.0000055655314,"about_ca_system_score_gemma":0.00006122619,"threshold_uncertainty_score":0.28068855},"labels":[],"label_agreement":null},{"id":"W2120164909","doi":"10.1175/2007jtecha941.1","title":"Evaluating the Effects of Height-Variable Reflectivity and Antenna Sidelobes on the Radar Equation","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University; Environment and Climate Change Canada","funders":"","keywords":"Radar; SIGNAL (programming language); Remote sensing; Precipitation; Antenna (radio); Environmental science; Geology; Optics; Physics; Meteorology; Computer science; Telecommunications","score_opus":0.03336885660440708,"score_gpt":0.2540196060467018,"score_spread":0.22065074944229474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120164909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925173,0.0040629846,0.0018443216,0.0012373038,0.00007977063,0.00007286029,4.995524e-7,0.000007763138,0.00017723239],"genre_scores_gemma":[0.994878,0.00094471354,0.0040027807,0.00010732331,0.000031373893,2.2624758e-7,2.534817e-7,0.000001570524,0.00003376487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999222,0.00012715367,0.00023011363,0.00008409975,0.0002350453,0.000101633676],"domain_scores_gemma":[0.9988366,0.00063120265,0.00031683163,0.00009442915,0.00009834169,0.00002260663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081017165,0.00007201834,0.00017452464,0.000014646058,0.00023534262,0.000011037229,0.00012855211,0.000054838656,0.00004813512],"category_scores_gemma":[0.0007088603,0.000035028424,0.00003523154,0.0003726788,0.00016721761,0.00009671041,0.000009868753,0.0001810619,0.0000010778633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038027836,0.00011278207,0.6869813,0.000104189254,0.00054774486,0.000033633638,0.0013408803,0.0008664794,0.041327436,0.00426354,0.00064073154,0.26340097],"study_design_scores_gemma":[0.0018222128,0.005928422,0.8453287,0.00028812245,0.00041223402,0.0004346484,0.0019301802,0.09444872,0.0046981773,0.043903254,0.00051171356,0.00029362386],"about_ca_topic_score_codex":0.00003174507,"about_ca_topic_score_gemma":0.000011253347,"teacher_disagreement_score":0.26310736,"about_ca_system_score_codex":0.0000041624166,"about_ca_system_score_gemma":0.00004850289,"threshold_uncertainty_score":0.18100889},"labels":[],"label_agreement":null},{"id":"W2120233396","doi":"10.1175/1520-0426(2004)021<0284:mtsrot>2.0.co;2","title":"Modeling the Spatial Response of the Airfoil Shear Probe Using Different Sized Probes","year":2004,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Dissipation; Wavenumber; Airfoil; Shear (geology); Kinetic energy; Turbulence; Spectral density; Computational physics; Physics; Mechanics; Optics; Geology; Classical mechanics; Statistics; Thermodynamics","score_opus":0.005489372335830116,"score_gpt":0.18916687014700892,"score_spread":0.1836774978111788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120233396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93288755,0.0017306398,0.06423495,0.0007312034,0.00025024803,0.00012467417,9.41978e-7,0.00003439563,0.000005392023],"genre_scores_gemma":[0.9938437,0.00026776665,0.005801827,0.000018946337,0.00004006671,0.0000010862105,4.4735096e-8,0.00002042529,0.0000061877467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917144,0.000028199232,0.00039683777,0.00007920355,0.0001510886,0.0001732395],"domain_scores_gemma":[0.9995657,0.000030266283,0.00011495169,0.00019672725,0.00006443117,0.000027886743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021271085,0.00013286454,0.00025778994,0.000013363392,0.0000707214,0.000013300279,0.0002781917,0.00012887662,0.0000046922696],"category_scores_gemma":[0.00006217168,0.00006993492,0.000097645505,0.00021866398,0.000109180255,0.000046845176,0.00008185128,0.0003679971,2.1807728e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019335053,0.000056528414,0.0009490141,0.00004391345,0.0001005003,0.000010299074,0.0003151065,0.964475,0.0294565,0.00145337,0.0000072838798,0.0029391705],"study_design_scores_gemma":[0.00090675306,0.00017848004,0.0021046042,0.00013543491,0.00006140153,0.00023144057,0.00013576254,0.98986596,0.002242369,0.003975783,0.00006544391,0.00009654276],"about_ca_topic_score_codex":0.000012239223,"about_ca_topic_score_gemma":0.000005668714,"teacher_disagreement_score":0.060956094,"about_ca_system_score_codex":0.000079076344,"about_ca_system_score_gemma":0.0000698826,"threshold_uncertainty_score":0.28518632},"labels":[],"label_agreement":null},{"id":"W2120587732","doi":"10.1175/2006jtecho472.1","title":"Reducing Drag and Oscillation of Spheres Used for Buoyancy in Oceanographic Moorings","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Drag; Buoyancy; Parasitic drag; Lift-to-drag ratio; Lift (data mining); Mechanics; Physics; SPHERES; Wave drag; Drag coefficient; Underwater; Drag divergence Mach number; Oscillation (cell signaling); Lift-induced drag; Neutral buoyancy; Classical mechanics; Geology; Computer science; Oceanography","score_opus":0.0064074671871426426,"score_gpt":0.21135051310650188,"score_spread":0.20494304591935925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120587732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98315114,0.0019629546,0.0145365,0.00006448068,0.00012611909,0.00007332773,0.0000012576195,0.000028735922,0.000055494744],"genre_scores_gemma":[0.980258,0.0011164891,0.018573547,0.0000030844574,0.00002053976,0.0000010263841,2.7726034e-7,0.000012347669,0.000014687667],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940443,0.0000045352026,0.0003643632,0.00007021829,0.00005099037,0.00010544714],"domain_scores_gemma":[0.99966204,0.000057220488,0.00011509672,0.00006950381,0.0000721251,0.000024008868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062521816,0.00007782038,0.00020823233,0.00005752385,0.00004241012,0.0000048162788,0.000053097767,0.00010115481,0.000008273715],"category_scores_gemma":[0.000043816235,0.00007379014,0.000039015566,0.00035654954,0.0000736904,0.00014914747,0.000012844613,0.00014741016,8.2308745e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013272178,0.0001965262,0.6740209,0.00038908102,0.00032558487,0.000036544727,0.002026089,0.22675253,0.048098896,0.011912391,0.0010791956,0.035029568],"study_design_scores_gemma":[0.002044174,0.0006694415,0.09862736,0.000245946,0.000054246415,0.00065419835,0.0012692644,0.88851196,0.0013619132,0.0047929725,0.0015107873,0.000257742],"about_ca_topic_score_codex":0.0000064512997,"about_ca_topic_score_gemma":0.000007722415,"teacher_disagreement_score":0.66175944,"about_ca_system_score_codex":0.000025064404,"about_ca_system_score_gemma":0.000016006574,"threshold_uncertainty_score":0.3009075},"labels":[],"label_agreement":null},{"id":"W2122762543","doi":"10.1175/2009jtecho650.1","title":"Pacific Hindcast Performance of Three Numerical Wave Models","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"W.F. Baird & Associates Coastal Engineers (Canada)","funders":"","keywords":"Hindcast; Buoy; Wave model; Quantile; Significant wave height; Computer science; Meteorology; Environmental science; Remote sensing; Geology; Wind wave; Statistics; Machine learning; Mathematics; Physics; Oceanography","score_opus":0.009297462655463853,"score_gpt":0.17909293045301491,"score_spread":0.16979546779755106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122762543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99365884,0.0023280196,0.0016535535,0.000662156,0.00015866016,0.000042610016,0.0000014683324,0.000018028257,0.0014766623],"genre_scores_gemma":[0.9768766,0.00081141887,0.02215842,0.000051142564,0.00006426821,8.3985463e-10,4.6218167e-7,0.0000029364335,0.00003473257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906784,0.000013301564,0.00039997985,0.000120067205,0.00017247409,0.00022634906],"domain_scores_gemma":[0.99935746,0.00002853592,0.00033238952,0.00012484692,0.00007724372,0.00007949274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015727135,0.00012083186,0.0003366728,0.00002395891,0.00007256566,0.000012673727,0.00014326943,0.00014733593,0.000059081885],"category_scores_gemma":[0.000015010801,0.000083093575,0.00007040663,0.00033882607,0.00014325845,0.00018759936,0.000010154828,0.00029955094,0.000002552754],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014741484,0.000040281044,0.023730442,0.000018237653,0.000042782325,0.0000909923,0.0001207175,0.003425901,0.00014832601,0.00046452714,0.00016046007,0.9716099],"study_design_scores_gemma":[0.00070791243,0.0035310697,0.25157422,0.0001089752,0.000060019844,0.003037121,0.00073779887,0.7221541,0.0002643478,0.016780049,0.00080193975,0.00024248213],"about_ca_topic_score_codex":0.0000076072292,"about_ca_topic_score_gemma":0.0000016776243,"teacher_disagreement_score":0.9713674,"about_ca_system_score_codex":0.000004931306,"about_ca_system_score_gemma":0.000045453133,"threshold_uncertainty_score":0.33884576},"labels":[],"label_agreement":null},{"id":"W2122971702","doi":"10.1175/jtech1913.1","title":"Identification and Removal of Ground Echoes and Anomalous Propagation Using the Characteristics of Radar Echoes","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Radar; Remote sensing; Echo (communications protocol); Identification (biology); Elevation angle; Geology; Polarimetry; Function (biology); Elevation (ballistics); Computer science; Fuzzy logic; Physics; Optics; Telecommunications; Artificial intelligence; Scattering","score_opus":0.005129625327218846,"score_gpt":0.19762782554562966,"score_spread":0.19249820021841083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122971702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689653,0.0063771876,0.024325717,0.00011831018,0.000084612526,0.00008519614,0.0000021699525,0.000021220472,0.000020264437],"genre_scores_gemma":[0.98935837,0.0012786672,0.009295989,0.0000028971817,0.000040203424,4.6003228e-7,2.8635074e-7,0.000010968481,0.00001216633],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99923575,0.000019073446,0.0004906448,0.000073141586,0.00009811539,0.00008328633],"domain_scores_gemma":[0.99928397,0.000045412144,0.00041563815,0.00008996644,0.0001520766,0.000012924677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023310003,0.000090500434,0.00025352993,0.000024387013,0.0000580986,0.000014770494,0.00006722355,0.00008311689,0.0000010550557],"category_scores_gemma":[0.00006301099,0.00006617335,0.000019012654,0.00022757567,0.00025233865,0.00011762272,0.00002715642,0.0001229449,5.1593204e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000965116,0.00009690103,0.085762784,0.0007102344,0.0004003538,0.0000547258,0.00092787016,0.00040520896,0.69414854,0.007743409,0.0001243274,0.20952916],"study_design_scores_gemma":[0.0018228266,0.00060327456,0.8180492,0.00034462992,0.0005658918,0.0066608484,0.0032872644,0.07448919,0.07453439,0.01806464,0.0010779431,0.0004998883],"about_ca_topic_score_codex":0.000005635908,"about_ca_topic_score_gemma":9.241288e-7,"teacher_disagreement_score":0.73228645,"about_ca_system_score_codex":0.000025582236,"about_ca_system_score_gemma":0.000014597358,"threshold_uncertainty_score":0.2698471},"labels":[],"label_agreement":null},{"id":"W2124075705","doi":"10.1175/2009jtecha1191.1","title":"The Effects of Precipitation on Cloud Droplet Measurement Devices","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Science Foundation","keywords":"Precipitation; Liquid water content; Environmental science; Spectrometer; Cloud computing; Atmospheric sciences; Volume (thermodynamics); Meteorology; Liquid water; Climatology; Geology; Physics; Computer science; Optics; Thermodynamics","score_opus":0.0035943964769840713,"score_gpt":0.1970399313035632,"score_spread":0.19344553482657914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124075705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936093,0.0021326828,0.0017505381,0.0015049523,0.00025165913,0.00011894889,1.0240086e-7,0.000016192042,0.0006156332],"genre_scores_gemma":[0.9959872,0.0006720922,0.0030292454,0.00019617607,0.00004228104,0.0000010506554,3.1959488e-8,0.0000062537783,0.00006566247],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99893105,0.000036923513,0.00035329378,0.000119523975,0.0003769374,0.00018224388],"domain_scores_gemma":[0.9992055,0.00008991325,0.0004563776,0.00015920984,0.000038994298,0.000049969036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034718576,0.00011646116,0.00021018856,8.6241107e-7,0.00012702255,0.0000119066235,0.00026839494,0.00010159328,0.00003065964],"category_scores_gemma":[0.00018072236,0.00007022652,0.000059607115,0.00027208915,0.00020710872,0.0000697116,0.000044661683,0.00019552781,0.000005699746],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003095097,0.00044461706,0.055646412,0.000040146257,0.0001325797,0.000041199546,0.0005518538,0.00032201933,0.025579732,0.006706264,0.008922283,0.9013034],"study_design_scores_gemma":[0.0023883462,0.013131405,0.9071806,0.0002958542,0.00020167987,0.00021016247,0.0015899461,0.00084034237,0.012826854,0.023557048,0.03734818,0.00042958872],"about_ca_topic_score_codex":0.0000039738225,"about_ca_topic_score_gemma":0.0000044346853,"teacher_disagreement_score":0.9008738,"about_ca_system_score_codex":0.00009291087,"about_ca_system_score_gemma":0.000018538185,"threshold_uncertainty_score":0.28637543},"labels":[],"label_agreement":null},{"id":"W2125404460","doi":"10.1175/2010jtecha1343.1","title":"Automated Retrievals of Precipitation Parameters Using Non-Rayleigh Scattering at 95 GHz","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Biological and Environmental Research; McGill University; U.S. Department of Energy","keywords":"Disdrometer; Standard deviation; Geology; Rayleigh scattering; Doppler effect; Geodesy; Radar; Spectral line; Environmental science; Remote sensing; Meteorology; Precipitation; Physics; Optics; Mathematics; Computer science","score_opus":0.012458982807074718,"score_gpt":0.22996544818485595,"score_spread":0.21750646537778123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125404460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790615,0.0005788262,0.00089248014,0.00017725797,0.0002826356,0.000056158937,0.0000028636941,0.000032501834,0.00007111812],"genre_scores_gemma":[0.9572837,0.00014220098,0.042498164,0.000026056707,0.000028857037,7.887572e-8,0.0000018183295,0.000003640612,0.000015491638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989743,0.000029415789,0.00047887035,0.00012372885,0.00022852333,0.0001651317],"domain_scores_gemma":[0.99895835,0.0000801909,0.00062310736,0.00011712311,0.00015503106,0.000066172324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045661948,0.000106149,0.00029461464,0.000044106087,0.00009143874,0.00001883722,0.00018194431,0.00014637342,0.0002525358],"category_scores_gemma":[0.0001618876,0.00008497179,0.000076949604,0.0005408894,0.00015810945,0.00020847881,0.00001676332,0.00021485749,0.000004872973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008891684,0.000023633018,0.8207319,0.000033171014,0.00015411049,0.0000109967,0.00019042117,0.0026433996,0.1536941,0.000014610267,0.00021106875,0.02220368],"study_design_scores_gemma":[0.001048803,0.00062437746,0.76209587,0.00010703895,0.00027748922,0.00026678978,0.0006585222,0.20793639,0.025171151,0.0012288986,0.0003055738,0.00027911997],"about_ca_topic_score_codex":0.00003561406,"about_ca_topic_score_gemma":0.000042668413,"teacher_disagreement_score":0.205293,"about_ca_system_score_codex":0.000008968186,"about_ca_system_score_gemma":0.000049593047,"threshold_uncertainty_score":0.3465049},"labels":[],"label_agreement":null},{"id":"W2130169104","doi":"10.1175/jtech-d-10-05042.1","title":"Adaptive Range Oversampling to Achieve Faster Scanning on the National Weather Radar Testbed Phased-Array Radar","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"NOAA Research; Nunavut Wildlife Research Trust; University of Oklahoma; U.S. Department of Commerce","keywords":"Oversampling; Computer science; Testbed; Radar; Weather radar; Phased array; Space-time adaptive processing; Real-time computing; Remote sensing; Range (aeronautics); Radar imaging; Radar engineering details; Geography; Telecommunications; Engineering","score_opus":0.038076573682903396,"score_gpt":0.2272775428442255,"score_spread":0.1892009691613221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130169104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545697,0.0013264883,0.029400326,0.003926556,0.00025532302,0.00018659206,0.000011043208,0.000044246204,0.010279749],"genre_scores_gemma":[0.9739806,0.00004547665,0.025026338,0.0007484691,0.00009144795,3.9801216e-7,5.445651e-7,0.000004459067,0.000102233345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989725,0.00005384667,0.00028731016,0.00014627328,0.000351924,0.00018816411],"domain_scores_gemma":[0.99930483,0.00013465599,0.000253154,0.0000799613,0.00015051392,0.00007686038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005881287,0.00012723169,0.00020634309,0.000043894102,0.00016097071,0.000024316696,0.00025392685,0.00007997248,0.000920968],"category_scores_gemma":[0.00014642079,0.00007845141,0.00007817811,0.00044793714,0.00009009521,0.00015117097,0.0000067340384,0.00025304695,0.00002952874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039945515,0.0004419983,0.61678064,0.000029425246,0.0020953473,0.00008929667,0.009456293,0.0010467315,0.019868135,0.007312857,0.009736958,0.32914776],"study_design_scores_gemma":[0.007936842,0.014299142,0.8134506,0.00073698687,0.0009132501,0.0006127447,0.034690015,0.004558618,0.01110648,0.0621866,0.04741882,0.002089911],"about_ca_topic_score_codex":0.000021780048,"about_ca_topic_score_gemma":0.000018427558,"teacher_disagreement_score":0.32705784,"about_ca_system_score_codex":0.000014459961,"about_ca_system_score_gemma":0.000054558255,"threshold_uncertainty_score":0.9999923},"labels":[],"label_agreement":null},{"id":"W2130906410","doi":"10.1175/2010jtecha1500.1","title":"Estimation of Near-Ground Propagation Conditions Using Radar Ground Echo Coverage","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Radiosonde; Radar; Remote sensing; Geology; Ground truth; Meteorology; Geodesy; Environmental science; Computer science; Geography; Telecommunications","score_opus":0.006251742547298342,"score_gpt":0.22660500493072902,"score_spread":0.22035326238343067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130906410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9064448,0.0008401272,0.09198352,0.00010041663,0.00033860956,0.00009915673,0.0000027598082,0.00006936541,0.00012126216],"genre_scores_gemma":[0.95035434,0.00015907633,0.049399838,0.000009982814,0.000046219648,0.0000011286656,7.7940746e-7,0.000018165041,0.000010495408],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991765,0.000011979171,0.0004572045,0.00008269057,0.00014046748,0.00013114979],"domain_scores_gemma":[0.9993614,0.000045730758,0.00029784514,0.00012291403,0.00013653531,0.000035570603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016502569,0.000118576194,0.00027570463,0.000029470708,0.000106024854,0.000026780339,0.00010304666,0.00015535082,0.000024221548],"category_scores_gemma":[0.00009875875,0.00010893372,0.000044825363,0.00034773647,0.00021912012,0.0002975224,0.000023527675,0.00037119386,0.0000016118913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095666204,0.00026468447,0.010330669,0.0005695921,0.001000454,0.00009448063,0.0015277795,0.106154576,0.55817145,0.0150880935,0.0010841191,0.30561846],"study_design_scores_gemma":[0.0024205304,0.00075503177,0.04030004,0.00018828097,0.0003381904,0.0028186783,0.0010990853,0.9018643,0.022003327,0.025839007,0.0018185894,0.0005549494],"about_ca_topic_score_codex":0.0000032728233,"about_ca_topic_score_gemma":0.0000015432408,"teacher_disagreement_score":0.7957097,"about_ca_system_score_codex":0.00005818473,"about_ca_system_score_gemma":0.000049104994,"threshold_uncertainty_score":0.4442188},"labels":[],"label_agreement":null},{"id":"W2131054710","doi":"10.1175/jtech-d-12-00016.1","title":"Adaptation of Classical Tidal Harmonic Analysis to Nonstationary Tides, with Application to River Tides","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Portland State University; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Tidal river; Harmonic analysis; Forcing (mathematics); Bathymetry; Tidal Waves; Tide gauge; Hindcast; Amplitude; Geology; Harmonic; Meteorology; Geodesy; Environmental science; Climatology; Mathematics; Physics; Estuary; Geophysics; Sea level; Oceanography; Acoustics; Mathematical analysis","score_opus":0.0053951291368622215,"score_gpt":0.20104970312516027,"score_spread":0.19565457398829805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131054710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8354092,0.0018204708,0.16187066,0.0006327805,0.000042964028,0.00010063037,0.0000065701925,0.000021000558,0.00009569377],"genre_scores_gemma":[0.8970747,0.00014746081,0.10255983,0.00012801528,0.000048426296,8.4726327e-7,0.000004067363,0.000004130133,0.000032515698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989667,0.000023143668,0.00037460966,0.00014988867,0.00024717822,0.00023849004],"domain_scores_gemma":[0.9991001,0.00008506714,0.0003231471,0.00012418821,0.00017731567,0.00019017544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022211084,0.00012938035,0.00032924267,0.000049473776,0.00007382177,0.00001130926,0.00019243019,0.00009611462,0.00009439718],"category_scores_gemma":[0.000047732952,0.00009298794,0.00006258332,0.002248342,0.00016164154,0.00026219446,0.000017196147,0.00014820091,0.000010920893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015928531,0.00006035869,0.8085739,0.000014724297,0.00026457495,0.0000044951803,0.0003496732,0.005176269,0.000075300515,0.00048406055,0.00020263765,0.18463473],"study_design_scores_gemma":[0.00035597087,0.0011341888,0.9807794,0.000027508719,0.00044336185,0.00011260391,0.0019221486,0.009091789,0.00017517079,0.00078271783,0.0049807034,0.00019442868],"about_ca_topic_score_codex":0.00006825756,"about_ca_topic_score_gemma":0.00007480197,"teacher_disagreement_score":0.1844403,"about_ca_system_score_codex":0.000008946175,"about_ca_system_score_gemma":0.00008062044,"threshold_uncertainty_score":0.3791938},"labels":[],"label_agreement":null},{"id":"W2131079905","doi":"10.1175/1520-0426(2002)019<0618:steslf>2.0.co;2","title":"Scanning the Earth's Limb from a High-Altitude Balloon: The Development and Flight of a New Balloon-Based Pointing System","year":2002,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Azimuth; Remote sensing; Computer science; Balloon; Tilt (camera); Elevation (ballistics); Geosynchronous orbit; Aerospace engineering; Simulation; Satellite; Geology; Physics; Optics; Engineering; Mechanical engineering","score_opus":0.0057949554115699535,"score_gpt":0.16914557702475613,"score_spread":0.16335062161318617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131079905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854235,0.006903709,0.0063875914,0.0008026734,0.00018159722,0.00008331162,5.6517644e-7,0.0000658305,0.00015123568],"genre_scores_gemma":[0.98560476,0.00009516351,0.014108777,0.000037968224,0.000103466045,8.7183236e-7,2.3015313e-7,0.000015045577,0.00003369715],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991415,0.00002024188,0.00043716957,0.00008793399,0.00014743747,0.00016569076],"domain_scores_gemma":[0.99949265,0.00008576905,0.0002018288,0.00012081734,0.000054939508,0.000043980268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017068652,0.0001268897,0.00025024248,0.00001401452,0.00011226782,0.000023158775,0.0001754501,0.00012128474,0.000020876818],"category_scores_gemma":[0.000033399956,0.000075445336,0.000041473428,0.00025273283,0.00006992813,0.0000578161,0.00003235841,0.0002841475,0.0000017176812],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041359855,0.0002533654,0.05664644,0.0008903731,0.0026334194,0.00035787627,0.01613258,0.03665013,0.08921494,0.010712128,0.005744665,0.7803505],"study_design_scores_gemma":[0.009319917,0.0016205617,0.16106898,0.0030209115,0.00095916743,0.001380004,0.015274264,0.6107205,0.15110897,0.001022657,0.043006886,0.0014971604],"about_ca_topic_score_codex":0.00002837872,"about_ca_topic_score_gemma":0.000011630182,"teacher_disagreement_score":0.7788533,"about_ca_system_score_codex":0.000037172864,"about_ca_system_score_gemma":0.000025651865,"threshold_uncertainty_score":0.30765715},"labels":[],"label_agreement":null},{"id":"W2131373907","doi":"10.1175/2010jtecha1508.1","title":"A New Low-Cost, Stand-Alone Sensor System for Snow Monitoring","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Snowpack; Snow; Environmental science; Suite; Flexibility (engineering); Range (aeronautics); Meteorology; Snowmelt; Remote sensing; Computer science; Geology; Geography; Engineering","score_opus":0.010502675439031665,"score_gpt":0.21826666106526993,"score_spread":0.20776398562623827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131373907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795514,0.0035338865,0.013882602,0.0008886688,0.0017508694,0.00019259502,0.0000111348845,0.000060911912,0.00012795234],"genre_scores_gemma":[0.912564,0.0004640214,0.08614988,0.000023879484,0.0005636942,5.125611e-7,7.4559756e-7,0.0000067060087,0.0002266061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990699,0.0000079747515,0.0003712963,0.00014566393,0.00013572375,0.0002693852],"domain_scores_gemma":[0.99914485,0.0001620439,0.00029096747,0.00013725176,0.00013760338,0.00012725889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019407399,0.00013320817,0.00032375002,0.000011008286,0.00020010638,0.000035458303,0.00019977376,0.00015800005,0.00010182354],"category_scores_gemma":[0.00013539835,0.000100532954,0.00007907418,0.00033395903,0.000072179944,0.00011939672,0.000017263159,0.00031680366,0.0000048959423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015895918,0.00002299323,0.5865912,0.000080778984,0.00014339219,0.000051455656,0.00017887205,0.00027632815,0.0005715828,0.0006671292,0.0033258754,0.40793148],"study_design_scores_gemma":[0.003907142,0.001268577,0.8201401,0.00030866498,0.0002526467,0.001487308,0.011932783,0.0063572493,0.0015055675,0.0017353321,0.15051508,0.00058953866],"about_ca_topic_score_codex":0.000067876164,"about_ca_topic_score_gemma":0.000050058825,"teacher_disagreement_score":0.40734193,"about_ca_system_score_codex":0.0000099737645,"about_ca_system_score_gemma":0.00010653822,"threshold_uncertainty_score":0.4099615},"labels":[],"label_agreement":null},{"id":"W2133302014","doi":"10.1175/jtech-d-13-00006.1","title":"High-Resolution Hurricane Vector Winds from C-Band Dual-Polarization SAR Observations","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Scatterometer; Synthetic aperture radar; Remote sensing; Dual-polarization interferometry; Wind speed; Polarization (electrochemistry); Wind direction; Meteorology; Environmental science; Geology; Computer science; Physics; Telecommunications","score_opus":0.006756330789546257,"score_gpt":0.17551742217542157,"score_spread":0.1687610913858753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133302014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934678,0.001941579,0.0016766075,0.002237998,0.0004603858,0.00008162146,0.000008486599,0.00003695068,0.000088570676],"genre_scores_gemma":[0.9637013,0.00029516502,0.035512548,0.00014682827,0.00021153079,5.6807634e-9,0.000012724991,0.0000053662598,0.000114553346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990763,0.000032502554,0.00037454825,0.00014566456,0.00015985356,0.00021112578],"domain_scores_gemma":[0.999256,0.000067909124,0.00033520724,0.00012062898,0.00012788262,0.00009235552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000971234,0.00012354006,0.00025099912,0.000025256048,0.00015868295,0.000052016123,0.00011499399,0.00018941476,0.00042059392],"category_scores_gemma":[0.00007279827,0.000092459755,0.000047092337,0.00043481568,0.00013666706,0.0003132175,0.000011893303,0.0002671006,0.000022658402],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009099649,0.0001132016,0.67170495,0.000028763327,0.00031580153,0.000116445204,0.0003772811,0.0036879645,0.014451355,0.0014124372,0.004161748,0.30353907],"study_design_scores_gemma":[0.0004974302,0.00039979996,0.95427364,0.000038545044,0.00005712507,0.00018344875,0.0004768362,0.034787405,0.0002458579,0.0070051635,0.0018808807,0.0001538566],"about_ca_topic_score_codex":0.0008040093,"about_ca_topic_score_gemma":0.000039207414,"teacher_disagreement_score":0.3033852,"about_ca_system_score_codex":0.000011073249,"about_ca_system_score_gemma":0.00004969555,"threshold_uncertainty_score":0.46052086},"labels":[],"label_agreement":null},{"id":"W2133362770","doi":"10.1175/2008jtecha1060.1","title":"An Intercomparison of Ground-Based Solar FTIR Measurements of Atmospheric Gases at Eureka, Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Eurostars; Institute for Research on Women and Gender, University of Michigan","keywords":"Environmental science; Atmospheric chemistry; Atmospheric sciences; Methane; Spectrometer; Ozone; Fourier transform infrared spectroscopy; Hydrogen fluoride; Nitrous oxide; Meteorology; Physics; Chemistry; Optics","score_opus":0.016434241586816944,"score_gpt":0.21044206298828527,"score_spread":0.19400782140146833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133362770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99376506,0.004671021,0.00066366186,0.00016063615,0.0003230988,0.00009978746,0.000010289126,0.000024226498,0.00028221705],"genre_scores_gemma":[0.97448796,0.00043462316,0.024847321,0.00012617728,0.000037605023,3.12873e-7,0.000004531363,0.00001100838,0.0000504432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978478,0.00008699422,0.0009244415,0.00023620206,0.0005263837,0.0003781673],"domain_scores_gemma":[0.99808294,0.00008988023,0.00105133,0.00029928907,0.0002985991,0.0001779467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028661548,0.0002514935,0.0007743003,0.000006439516,0.00015757131,0.000008022431,0.0004937041,0.00018104038,0.0006056666],"category_scores_gemma":[0.00007589158,0.00020077036,0.00010439952,0.0006839022,0.0003944788,0.00021200885,0.000031307933,0.00028699636,0.0000026316186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027770887,0.00012780091,0.9768274,0.000059150814,0.00011745863,0.00010930337,0.000115104245,0.0018837418,0.0008694346,0.0000067689766,0.0013605392,0.018245608],"study_design_scores_gemma":[0.0025217617,0.0047138506,0.9637629,0.00017359018,0.00023132733,0.001176978,0.001878809,0.015332952,0.005730233,0.00021762805,0.003717813,0.0005421882],"about_ca_topic_score_codex":0.039023314,"about_ca_topic_score_gemma":0.039828707,"teacher_disagreement_score":0.024183659,"about_ca_system_score_codex":0.000051184074,"about_ca_system_score_gemma":0.00063833385,"threshold_uncertainty_score":0.9776919},"labels":[],"label_agreement":null},{"id":"W2133390661","doi":"10.1175/jtech-d-13-00064.1","title":"Improvements in LICOM2. Part II: Arctic Circulation","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ocean gyre; Arctic; Bathymetry; Climatology; Geology; Ocean current; Mesoscale meteorology; The arctic; Oceanography; Meteorology; Physics","score_opus":0.004547970794268203,"score_gpt":0.17918802389518915,"score_spread":0.17464005310092096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133390661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99407554,0.00409218,0.0002362786,0.0008687929,0.00022736518,0.00011611118,7.735983e-7,0.000027532089,0.00035543524],"genre_scores_gemma":[0.9943346,0.00088367565,0.004435039,0.00021158399,0.00006327989,6.1923555e-7,9.830626e-7,0.000004235821,0.00006603066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988985,0.000019785746,0.0004801438,0.0001579198,0.00016687333,0.00027678508],"domain_scores_gemma":[0.9993286,0.00004162371,0.0003270407,0.000112232374,0.000102576974,0.00008794082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018301583,0.0001352987,0.0002710747,0.000020231142,0.00009974224,0.000031718744,0.00021739292,0.00014606387,0.00088673347],"category_scores_gemma":[0.000072485775,0.00010294194,0.0000471645,0.0007326233,0.00013812543,0.00040630146,0.000025133255,0.00028511227,0.000014861044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010859346,0.00003594847,0.8366559,0.000020901065,0.000023439525,0.0000139641115,0.00005706037,0.00010718296,0.00003586655,0.00013267672,0.00020282502,0.16270335],"study_design_scores_gemma":[0.00073521474,0.00064659095,0.9709278,0.000076936434,0.000022568925,0.00019384403,0.0007995435,0.005389375,0.00002987496,0.018028736,0.002977098,0.00017244455],"about_ca_topic_score_codex":0.0001671604,"about_ca_topic_score_gemma":0.000036234567,"teacher_disagreement_score":0.1625309,"about_ca_system_score_codex":0.000008760091,"about_ca_system_score_gemma":0.00005799976,"threshold_uncertainty_score":0.97091097},"labels":[],"label_agreement":null},{"id":"W2133597317","doi":"10.1175/2011jtecho830.1","title":"Determining Vertical Water Velocities from Seaglider","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Naval Research; Natural Environment Research Council; Sight Research UK; National Science Foundation","keywords":"Geology; Buoyancy; Glider; Turbulence; Forcing (mathematics); Scaling; Stratification (seeds); Convection; Neutral buoyancy; Geodesy; Meteorology; Atmospheric sciences; Mechanics; Physics; Geometry","score_opus":0.011028273774279307,"score_gpt":0.17664932082108412,"score_spread":0.1656210470468048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133597317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99364376,0.0031123916,0.0015921997,0.00020390526,0.00029117186,0.00003293342,0.000002321739,0.000051973628,0.001069359],"genre_scores_gemma":[0.97434443,0.0005161486,0.024785576,0.00022299372,0.00008906666,1.3182859e-7,0.0000010597797,0.0000059014046,0.00003468945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893194,0.000022804712,0.00039692724,0.00016649411,0.00016227317,0.00031956637],"domain_scores_gemma":[0.9995149,0.00006209663,0.00010766635,0.000119225966,0.000078480356,0.00011764311],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014434426,0.00015670132,0.0003185843,0.000011152537,0.000108574255,0.000025175279,0.0002847626,0.00017832404,0.001610366],"category_scores_gemma":[0.000047348367,0.00009717319,0.000067488516,0.00022183842,0.00033347818,0.0002690949,0.00003184664,0.00028956297,0.000022800059],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009055062,0.000029576699,0.8809738,0.000013819643,0.00011454303,0.00022818187,0.0007710587,0.000006797904,0.00009387933,0.0001640762,0.0001926084,0.11732112],"study_design_scores_gemma":[0.0014311649,0.0018364034,0.9246116,0.00011767185,0.00023349359,0.0010982634,0.007534147,0.0028118293,0.0064525115,0.046510108,0.0067754406,0.000587313],"about_ca_topic_score_codex":0.000059439793,"about_ca_topic_score_gemma":0.000016037924,"teacher_disagreement_score":0.116733804,"about_ca_system_score_codex":0.0000033398192,"about_ca_system_score_gemma":0.000048882303,"threshold_uncertainty_score":0.99930227},"labels":[],"label_agreement":null},{"id":"W2134685914","doi":"10.1175/jtech-d-13-00069.1","title":"Eddy Seeding in the Labrador Sea: A Submerged Autonomous Launch Platform Application","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Woods Hole Oceanographic Institution; Eli Lilly and Company; National Science Foundation","keywords":"Mooring; Anticyclone; Eddy; Oceanography; Geology; Environmental science; Climatology; Meteorology; Turbulence; Geography","score_opus":0.005027640916668689,"score_gpt":0.1860557076087133,"score_spread":0.1810280666920446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134685914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913739,0.004140747,0.0015923809,0.0020184992,0.000121379526,0.00019122155,0.0000016416723,0.000039347713,0.0005208774],"genre_scores_gemma":[0.9923609,0.00071064837,0.006477005,0.00031582144,0.0000875072,0.000002114572,0.0000014129216,0.0000046353,0.000039948987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988783,0.000022520897,0.0004291083,0.00016384556,0.00020027554,0.00030597526],"domain_scores_gemma":[0.9992956,0.00008710862,0.00032061938,0.00014439458,0.00008449134,0.00006777822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039279513,0.00015015998,0.00026970662,0.000017921142,0.00012802605,0.00005678418,0.0004473458,0.0001634148,0.00025614424],"category_scores_gemma":[0.0000608071,0.0000915803,0.000052818716,0.0010615829,0.00017137166,0.0003996661,0.000018561075,0.00042274984,0.000020437998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022662802,0.00004667061,0.67285705,0.000030675033,0.000033103035,0.000025040039,0.00036531786,0.00014935946,0.00006201185,0.0006152033,0.00089983596,0.32489306],"study_design_scores_gemma":[0.00084120606,0.0006346751,0.941764,0.000042302283,0.000041668845,0.0008672941,0.008130126,0.020364685,0.000049215818,0.015837083,0.011159358,0.0002683815],"about_ca_topic_score_codex":0.00031029078,"about_ca_topic_score_gemma":0.00012351919,"teacher_disagreement_score":0.3246247,"about_ca_system_score_codex":0.0000083464365,"about_ca_system_score_gemma":0.00007386958,"threshold_uncertainty_score":0.37345365},"labels":[],"label_agreement":null},{"id":"W2135750150","doi":"10.1175/1520-0426(2001)018<0830:comoaw>2.0.co;2","title":"Comparison of Measurements of Atmospheric Wet Delay by Radiosonde, Water Vapor Radiometer, GPS, and VLBI","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":288,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Radiosonde; Zenith; Environmental science; Radiometer; Global Positioning System; Very-long-baseline interferometry; Remote sensing; Radio occultation; Meteorology; Water vapor; Microwave radiometer; Geodesy; Geology; Physics","score_opus":0.01343076142792107,"score_gpt":0.23860522962223907,"score_spread":0.225174468194318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135750150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97472256,0.0137196295,0.01078508,0.00010333603,0.00020031793,0.000061227256,0.0000020490672,0.000047319674,0.00035844842],"genre_scores_gemma":[0.9858353,0.0012265574,0.012823203,0.000014279425,0.000019905385,0.0000010793461,9.647142e-7,0.000021615406,0.000057107132],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987389,0.000023220344,0.0006805263,0.00012558763,0.00018693418,0.0002448363],"domain_scores_gemma":[0.99936885,0.000025167832,0.00024948933,0.00015348122,0.00012761778,0.00007539492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018177065,0.00017865315,0.00058975205,0.00001637191,0.000038858183,0.00001193224,0.00020726833,0.00019484438,0.000056562825],"category_scores_gemma":[0.000024310235,0.00013741237,0.00006416267,0.00029478292,0.00016769546,0.00012532284,0.000040800576,0.00029001746,0.0000011870235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037435268,0.0007251288,0.36467135,0.00046755158,0.0016029605,0.000051871393,0.0015799415,0.0031892697,0.49726853,0.00026295992,0.0176978,0.11210829],"study_design_scores_gemma":[0.0121178785,0.011656505,0.031371,0.0016127505,0.0013068944,0.007302428,0.0033418941,0.080239125,0.8003597,0.0029918205,0.04568664,0.0020133124],"about_ca_topic_score_codex":0.000006281581,"about_ca_topic_score_gemma":8.045023e-7,"teacher_disagreement_score":0.33330032,"about_ca_system_score_codex":0.0000458671,"about_ca_system_score_gemma":0.000014608226,"threshold_uncertainty_score":0.5603514},"labels":[],"label_agreement":null},{"id":"W2135900629","doi":"10.1175/2009jtecho667.1","title":"Accuracy of the IMET Sensor Package in the Subtropics","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Oceanic and Atmospheric Administration; University of Washington","keywords":"Environmental science; Flux (metallurgy); Longwave; Shortwave; Wind speed; Momentum (technical analysis); Heat flux; Atmosphere (unit); Atmospheric sciences; Meteorology; Relative humidity; Sensible heat; Humidity; Shortwave radiation; Subtropics; Climatology; Sampling (signal processing); Radiation; Geology; Heat transfer; Materials science; Radiative transfer; Physics; Mechanics","score_opus":0.005270309165094474,"score_gpt":0.20081094579570793,"score_spread":0.19554063663061347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135900629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867295,0.008061828,0.00022638067,0.0042572115,0.00012246372,0.00008333915,0.000002335406,0.000010493828,0.0005064351],"genre_scores_gemma":[0.9945191,0.0018084636,0.003074087,0.0005253531,0.000048205715,5.886969e-8,2.3743078e-7,0.00000195043,0.00002250445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990041,0.000060896156,0.00040707507,0.00010349796,0.00021608293,0.00020832315],"domain_scores_gemma":[0.9990677,0.00017246726,0.00045869697,0.00020617776,0.00006295991,0.00003199844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031697098,0.000116577045,0.00025899938,0.000009076645,0.000084566804,0.000019264973,0.00059028686,0.00011750921,0.00006724572],"category_scores_gemma":[0.00021498257,0.000055713634,0.000083177474,0.0010829258,0.00024849657,0.0001387519,0.000014224058,0.00038809862,0.0000013018919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005236384,0.00006226694,0.80278623,0.000018394685,0.000025856165,0.0000491072,0.00033119874,0.000078276214,0.00011228567,0.0010698333,0.0005832301,0.19483094],"study_design_scores_gemma":[0.00046346086,0.0006296233,0.97736454,0.000049265895,0.00003832551,0.00052213395,0.0028334728,0.00036833307,0.00022867514,0.013053599,0.0043460247,0.00010253205],"about_ca_topic_score_codex":0.000022697188,"about_ca_topic_score_gemma":0.000024503795,"teacher_disagreement_score":0.19472842,"about_ca_system_score_codex":0.000002851369,"about_ca_system_score_gemma":0.000079423706,"threshold_uncertainty_score":0.22719361},"labels":[],"label_agreement":null},{"id":"W2135967342","doi":"10.1175/jtech-d-11-00046.1","title":"A Remotely Operated Lidar for Aerosol, Temperature, and Water Vapor Profiling in the High Arctic","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Toronto; Dalhousie University","funders":"","keywords":"Lidar; Water vapor; Environmental science; Mixing ratio; Troposphere; Remote sensing; Aerosol; Arctic; Rayleigh scattering; Depolarization ratio; Backscatter (email); Atmosphere (unit); Meteorology; Atmospheric sciences; Optics; Geology; Physics; Computer science","score_opus":0.009415410949514527,"score_gpt":0.20303878465162387,"score_spread":0.19362337370210933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135967342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975667,0.00056448305,0.00058768905,0.00078834366,0.00009629491,0.00025575218,8.0737874e-7,0.000016103193,0.00012381644],"genre_scores_gemma":[0.95537823,0.00022197927,0.04391215,0.0003393232,0.000032031418,0.000006219896,4.4654524e-7,0.00001565218,0.00009393631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989278,0.0000354458,0.00038082438,0.00021081296,0.00013426063,0.00031088098],"domain_scores_gemma":[0.9995727,0.00003268037,0.00015010257,0.00016103424,0.000028354263,0.000055132306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035584794,0.00016323183,0.00027837744,0.0000016895777,0.00013049234,0.000027078084,0.0002938225,0.00019961238,0.00015095761],"category_scores_gemma":[0.000052235606,0.00008695648,0.00004292173,0.00027131668,0.00029920493,0.00014954818,0.000115504554,0.00035756975,0.0000037555994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017701014,0.001178226,0.7072612,0.00021095194,0.00031657278,0.0008395289,0.011315247,0.00016156044,0.20182791,0.006765683,0.0020079406,0.06634507],"study_design_scores_gemma":[0.017967291,0.016947147,0.72705144,0.0005216055,0.0007367795,0.011867719,0.03305594,0.0044615786,0.104986414,0.068766125,0.010876252,0.002761732],"about_ca_topic_score_codex":0.000066451736,"about_ca_topic_score_gemma":0.000013389662,"teacher_disagreement_score":0.0968415,"about_ca_system_score_codex":0.00004511568,"about_ca_system_score_gemma":0.000016528493,"threshold_uncertainty_score":0.35459825},"labels":[],"label_agreement":null},{"id":"W2137437176","doi":"10.1175/jtech-d-10-05002.1","title":"Asymptotic Properties of an Autocorrelation Coefficient for Coherent Doppler Sonar","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Link Foundation","keywords":"Autocorrelation; Sonar; Doppler effect; Estimator; Autocorrelation technique; Gaussian; Mathematics; Statistical physics; Statistics; Physics; Mathematical analysis; Acoustics; Quantum mechanics","score_opus":0.030116158932620672,"score_gpt":0.22477711738459813,"score_spread":0.19466095845197745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137437176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938468,0.00083134463,0.06011754,0.00008074054,0.00011144682,0.00024347409,0.0000043686728,0.000018468305,0.00012461895],"genre_scores_gemma":[0.9595863,0.000067079156,0.04025146,0.000013411386,0.000024219193,7.7352695e-7,0.0000010517194,0.0000042337397,0.000051433468],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991612,0.000026786343,0.00034118822,0.00011130085,0.00015878252,0.00020073135],"domain_scores_gemma":[0.99938613,0.000030106794,0.000230936,0.00009909017,0.00018064129,0.000073115116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002812913,0.000086657754,0.00020954867,0.000028823964,0.000063982734,0.000011694472,0.00021200006,0.00011472387,0.00021503158],"category_scores_gemma":[0.00003775172,0.000058515307,0.000038641523,0.00018124966,0.00020471336,0.00012969153,0.000015862075,0.00015936192,0.0000030783062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017660563,0.0007934567,0.38636854,0.00041567304,0.00039746883,0.000066901965,0.0036573452,0.024614533,0.008493508,0.0010959938,0.00066964555,0.5716609],"study_design_scores_gemma":[0.0020281277,0.008619157,0.14246295,0.00013719927,0.00013785687,0.00086625706,0.002852159,0.8248817,0.008797373,0.0075889924,0.001317914,0.00031032402],"about_ca_topic_score_codex":0.00004287095,"about_ca_topic_score_gemma":0.000026734073,"teacher_disagreement_score":0.80026716,"about_ca_system_score_codex":0.000008596196,"about_ca_system_score_gemma":0.0000942567,"threshold_uncertainty_score":0.2386185},"labels":[],"label_agreement":null},{"id":"W2138194989","doi":"10.1175/2010jtecho737.1","title":"An Example Crossover Experiment for Testing New Vicarious Calibration Techniques for Satellite Ocean Color Radiometry","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Oceanic and Atmospheric Administration; National Institute of Standards and Technology; Utah State University; National Aeronautics and Space Administration","keywords":"Radiance; Irradiance; Remote sensing; Calibration; Ocean color; Satellite; Environmental science; Buoy; Radiometer; Radiometry; Optics; Meteorology; Physics; Geology","score_opus":0.014821525109459225,"score_gpt":0.23625328992384276,"score_spread":0.22143176481438354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138194989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620431,0.00096599595,0.035608567,0.00028124673,0.00038220632,0.0004218067,0.000011282878,0.00009320877,0.00019256501],"genre_scores_gemma":[0.8545712,0.000049043254,0.14484113,0.00009896585,0.00030432545,0.0000014428515,0.000006925232,0.000008285774,0.00011866292],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990187,0.000012207574,0.00041709354,0.00019553698,0.00010402758,0.00025241723],"domain_scores_gemma":[0.99906844,0.00016248798,0.00035120064,0.00015470329,0.00012537702,0.00013777864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032379205,0.00013861795,0.00028908622,0.000033204626,0.0001495529,0.000086396954,0.00023329802,0.00020913525,0.00006888058],"category_scores_gemma":[0.00010799031,0.00010898708,0.000060183953,0.00031171335,0.000072897325,0.00028338187,0.000014885621,0.00019946352,5.0153585e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033539708,0.0000637285,0.13411213,0.000058516496,0.000058956175,0.000012175141,0.00021006163,0.00004280815,0.011683737,0.0011530711,0.001498987,0.8507704],"study_design_scores_gemma":[0.0064968136,0.023823647,0.061606858,0.00014421725,0.00029799668,0.0031207358,0.00400562,0.15153217,0.04863605,0.035883132,0.6628698,0.0015829342],"about_ca_topic_score_codex":0.0004324357,"about_ca_topic_score_gemma":0.00032241645,"teacher_disagreement_score":0.8491875,"about_ca_system_score_codex":0.0000070346805,"about_ca_system_score_gemma":0.00013725522,"threshold_uncertainty_score":0.44443643},"labels":[],"label_agreement":null},{"id":"W2139026436","doi":"10.1175/jtech-d-11-00163.1","title":"The Informational Value of Pressure-Based Single-Station Proxies for Storm Activity","year":2012,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Percentile; Storm; Environmental science; Climatology; Wind speed; Homogeneous; Surface pressure; Meteorology; Atmospheric sciences; Geology; Statistics; Geography; Mathematics","score_opus":0.010743089937511411,"score_gpt":0.226204260944141,"score_spread":0.2154611710066296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139026436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745273,0.00022833182,0.024113813,0.00078080903,0.00009022438,0.00013951029,0.0000036108158,0.0000091284,0.00010726337],"genre_scores_gemma":[0.9891028,0.00003002225,0.0107943015,0.000029869665,0.000016869857,0.00000328224,2.8116926e-7,0.0000033871277,0.00001923053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944496,0.000016714617,0.00022872712,0.00004394167,0.00012973917,0.00013591647],"domain_scores_gemma":[0.9993419,0.00016587228,0.00034963642,0.000083389954,0.000029624462,0.000029566881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004830549,0.00005692614,0.00011386773,0.0000044436442,0.000099562545,0.0000075061935,0.00011352252,0.00006890963,0.000024212726],"category_scores_gemma":[0.00015876135,0.00003713201,0.0000390145,0.000107366155,0.00022815034,0.00029824002,0.000033617078,0.00009170784,6.340512e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019531075,0.0021566246,0.48899513,0.00043441157,0.00035956572,9.998433e-7,0.0037927798,0.057011474,0.07518501,0.06398505,0.0032830252,0.30284283],"study_design_scores_gemma":[0.0043323813,0.0037350806,0.4430676,0.00010431959,0.0004197842,0.00016604178,0.0024402507,0.30796024,0.04413873,0.035321143,0.15774383,0.0005705999],"about_ca_topic_score_codex":0.0000060747616,"about_ca_topic_score_gemma":0.0000035731628,"teacher_disagreement_score":0.30227223,"about_ca_system_score_codex":0.000049193197,"about_ca_system_score_gemma":0.000022153345,"threshold_uncertainty_score":0.15141994},"labels":[],"label_agreement":null},{"id":"W2139690665","doi":"10.1175/2008jtecho587.1","title":"Automated Ice-Tethered Profilers for Seawater Observations under Pack Ice in All Seasons","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":251,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Division of Ocean Sciences; Office of Polar Programs; Division of Arctic Sciences; Japan Agency for Marine-Earth Science and Technology; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Buoy; Sea ice; Mooring; Geology; Remote sensing; Underwater; Marine engineering; Meteorology; Environmental science; Oceanography; Engineering","score_opus":0.026797581665884945,"score_gpt":0.23729530746283187,"score_spread":0.21049772579694692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139690665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99218464,0.0003748654,0.0025170175,0.004362327,0.00018619701,0.00016609735,0.000010279765,0.00007944898,0.00011911993],"genre_scores_gemma":[0.9638875,0.0004615089,0.034820255,0.0004668857,0.000040367773,9.064219e-7,0.000008774154,0.0000069001603,0.00030688828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906045,0.00002931087,0.00032366868,0.0001487884,0.00012657416,0.0003112065],"domain_scores_gemma":[0.9993615,0.00012285342,0.00022960994,0.00010909203,0.000095266034,0.0000816525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019209954,0.00013223996,0.00027077118,0.00002434937,0.00013256432,0.000012037586,0.00019965864,0.00018245389,0.00011287842],"category_scores_gemma":[0.00007111655,0.00010041271,0.00006229074,0.00035394455,0.0002019481,0.00020232322,0.000015311374,0.0002674426,0.0000058969595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014532215,0.00007657154,0.98444784,0.00003907668,0.00013720592,0.000112776994,0.0005079535,0.0025161805,0.00014556048,0.0007567063,0.0037093672,0.007405445],"study_design_scores_gemma":[0.0015376939,0.00062861334,0.85117227,0.00004931322,0.00006700373,0.001100402,0.0028354248,0.13042259,0.000023694161,0.003621705,0.00829756,0.00024372582],"about_ca_topic_score_codex":0.000076092845,"about_ca_topic_score_gemma":0.000108851586,"teacher_disagreement_score":0.13327557,"about_ca_system_score_codex":0.000017581606,"about_ca_system_score_gemma":0.00013993302,"threshold_uncertainty_score":0.40947115},"labels":[],"label_agreement":null},{"id":"W2142688908","doi":"10.1175/jtech-d-15-0074.1","title":"An Improved Liquid Water Absorption Model at Microwave Frequencies for Supercooled Liquid Water Clouds","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Microwave; Absorption (acoustics); Liquid water content; Radiometer; Liquid water; Supercooling; Attenuation coefficient; Permittivity; Materials science; Computational physics; Environmental science; Absorption of water; Microwave radiometer; Field (mathematics); Thermodynamics; Optics; Physics; Cloud computing; Mathematics; Dielectric","score_opus":0.009959590795841928,"score_gpt":0.21737204383645833,"score_spread":0.2074124530406164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142688908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882108,0.00026117422,0.009419446,0.001414685,0.00022921682,0.00014397009,6.183262e-7,0.000047867397,0.00027224547],"genre_scores_gemma":[0.9753494,0.00007934106,0.023854751,0.0003023428,0.0001053708,7.995092e-7,0.0000024275475,0.000025911033,0.00027963234],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987837,0.000024827421,0.00039451642,0.00023723145,0.0001544917,0.00040521022],"domain_scores_gemma":[0.99943787,0.000010735606,0.00011476473,0.00021351264,0.00006834817,0.0001547801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037234713,0.00018635443,0.00030667393,0.000012476276,0.00012737306,0.000020632548,0.00022562366,0.00031332058,0.000023970784],"category_scores_gemma":[0.000023150118,0.00010615275,0.000087675864,0.000079989935,0.0002936059,0.00025721092,0.00015517604,0.00022143318,0.000018282228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007041959,0.000052780306,0.00033968894,0.0000070588953,0.000029135572,0.00001597415,0.0011496822,0.00076171826,0.991946,0.000019569648,0.00049108884,0.004483119],"study_design_scores_gemma":[0.0024735704,0.0070869466,0.00039568043,0.000028414079,0.00015630531,0.0014924937,0.0018205998,0.045237835,0.92798114,0.0066911737,0.006143623,0.00049223064],"about_ca_topic_score_codex":0.000030069117,"about_ca_topic_score_gemma":0.000072880146,"teacher_disagreement_score":0.06396486,"about_ca_system_score_codex":0.00024798824,"about_ca_system_score_gemma":0.00002270908,"threshold_uncertainty_score":0.43287835},"labels":[],"label_agreement":null},{"id":"W2147929297","doi":"10.1175/jtech-d-13-00095.1","title":"Laboratory Measurements of Coarse Sediment Bedload Transport Velocity Using a Prototype Wideband Coherent Doppler Profiler (MFDop)","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"","keywords":"Geology; Bed load; Standard deviation; Sediment transport; Settling; Doppler effect; Sediment; Geodesy; Particle velocity; Acoustic Doppler velocimetry; Geomorphology; Physics; Mechanics; Laser Doppler velocimetry; Mathematics","score_opus":0.01153061987303484,"score_gpt":0.22190204891958554,"score_spread":0.2103714290465507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147929297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949793,0.00042871942,0.003628854,0.00023574068,0.00012247963,0.00031912827,0.0000025546658,0.000026283711,0.00025693563],"genre_scores_gemma":[0.9872205,0.000060244947,0.012519284,0.00013712377,0.000023886929,0.000006562282,5.947377e-7,0.000014610061,0.000017147162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984946,0.000048731043,0.0006022404,0.00022538529,0.000362501,0.00026650578],"domain_scores_gemma":[0.9991584,0.00002013926,0.0004814246,0.00016743853,0.00007290878,0.00009972436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005994216,0.00019109498,0.000434038,0.000017147258,0.00009054547,0.000004073479,0.00025357376,0.00023850931,0.00060901395],"category_scores_gemma":[0.00002422611,0.00015145077,0.00006267198,0.00037540068,0.00047312147,0.00018082399,0.000036500467,0.00030176356,0.0000050005756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004935203,0.0005105749,0.9420214,0.00012517146,0.00020679252,0.000031733183,0.00035434033,0.000848162,0.04355656,0.00006634335,0.00031071398,0.011474643],"study_design_scores_gemma":[0.021324066,0.016331756,0.46854442,0.0011345546,0.00240651,0.0012750771,0.001180726,0.011281613,0.39623022,0.0071669146,0.07029376,0.0028303792],"about_ca_topic_score_codex":0.000018152457,"about_ca_topic_score_gemma":0.000010313559,"teacher_disagreement_score":0.47347704,"about_ca_system_score_codex":0.000071759,"about_ca_system_score_gemma":0.00007351112,"threshold_uncertainty_score":0.66682756},"labels":[],"label_agreement":null},{"id":"W2148222718","doi":"10.1175/2009jtecha1213.1","title":"Operational Monitoring of Weather Radar Receiving Chain Using the Sun","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Radar; Weather radar; Environmental science; Meteorology; Antenna (radio); Computer science; Geology; Telecommunications; Geography","score_opus":0.014050963738995535,"score_gpt":0.221069544637813,"score_spread":0.20701858089881747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148222718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99611396,0.0021152997,0.0007154652,0.000740601,0.00017808612,0.0000385783,9.102475e-7,0.0000051241605,0.00009198369],"genre_scores_gemma":[0.9875925,0.00014879921,0.012093218,0.000042370863,0.00010003838,2.0170686e-8,1.7264e-7,0.0000015374584,0.000021343041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937344,0.000023863688,0.00023167049,0.000068124275,0.00018016185,0.00012276268],"domain_scores_gemma":[0.999577,0.000026452493,0.00020707301,0.00007960329,0.000080699785,0.000029183651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030601988,0.00006966527,0.00015656692,0.000010153095,0.00010533957,0.000015881136,0.0001631462,0.00005856716,0.000044284945],"category_scores_gemma":[0.000032496217,0.00004372019,0.00003891432,0.00022162985,0.00006329141,0.000095438016,0.000006659443,0.00016947991,7.196759e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003408828,0.000035246805,0.83587384,0.00000616793,0.000056167013,0.000013233909,0.00020184532,0.0009392807,0.006161309,0.00054492493,0.00004824447,0.15608563],"study_design_scores_gemma":[0.000404248,0.00051634124,0.98409784,0.00007211858,0.00003877617,0.00020064585,0.0009645688,0.0028356921,0.0015130541,0.008655428,0.00059598003,0.00010533218],"about_ca_topic_score_codex":0.00003549004,"about_ca_topic_score_gemma":0.0000032551775,"teacher_disagreement_score":0.15598029,"about_ca_system_score_codex":0.000005123262,"about_ca_system_score_gemma":0.000045356606,"threshold_uncertainty_score":0.17828576},"labels":[],"label_agreement":null},{"id":"W2150087902","doi":"10.1175/jtech-d-12-00230.1","title":"Scientific Assessment of the SWIFT Instrument Design","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remote sensing; Michelson interferometer; Environmental science; Stratosphere; Doppler effect; Interferometry; Satellite; Swift; Meteorology; Lidar; Physics; Optics; Geology","score_opus":0.009665941416552894,"score_gpt":0.2079695760665232,"score_spread":0.1983036346499703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150087902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930489,0.0012167837,0.003224268,0.0010321965,0.0004840408,0.00015748615,0.0000013372904,0.000014066173,0.0008209106],"genre_scores_gemma":[0.9608416,0.00019170763,0.03869491,0.000076688615,0.000023518662,4.3192264e-7,2.2138845e-7,0.000003138814,0.0001677677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988827,0.000053609434,0.0004400941,0.00013264272,0.00026612193,0.00022483173],"domain_scores_gemma":[0.99903023,0.00006110492,0.0004920445,0.00021200904,0.00013805681,0.00006656202],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037336204,0.000112414025,0.00025832324,0.000007232518,0.00016275646,0.000052130512,0.00040621666,0.000102505335,0.001083808],"category_scores_gemma":[0.00004168392,0.000063516454,0.000074480304,0.000558183,0.00041269875,0.0002128973,0.000043757704,0.000244503,0.000011839492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013935288,0.000056918543,0.7835968,0.000021826118,0.00008008704,0.000008606376,0.00009814148,0.0008531864,0.0007162513,0.0009761126,0.0016559783,0.21192214],"study_design_scores_gemma":[0.0005440334,0.0007564641,0.9690704,0.000054635162,0.000059839997,0.00028289843,0.00143605,0.014496021,0.0005566484,0.009066185,0.0035320725,0.00014476608],"about_ca_topic_score_codex":0.00006014891,"about_ca_topic_score_gemma":0.0000122701,"teacher_disagreement_score":0.21177737,"about_ca_system_score_codex":0.000009182735,"about_ca_system_score_gemma":0.00017237313,"threshold_uncertainty_score":0.99982935},"labels":[],"label_agreement":null},{"id":"W2154740986","doi":"10.1175/2008jtecho569.1","title":"Development of an Atlantic Canadian Coastal Water Level Neural Network Model","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Artificial neural network; Environmental science; Term (time); Bathymetry; Water level; Oceanography; Climatology; Meteorology; Computer science; Geography; Geology; Machine learning; Cartography","score_opus":0.021469764082083693,"score_gpt":0.20591298762020765,"score_spread":0.18444322353812395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154740986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977608,0.000032580978,0.0016738633,0.00026665817,0.000062948566,0.000040775783,8.158843e-7,0.000017174609,0.00014442306],"genre_scores_gemma":[0.8842868,0.000011080581,0.115498155,0.00010880815,0.000019301702,3.1822682e-7,6.273501e-7,0.000008977039,0.00006588382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989255,0.000017020868,0.00038579715,0.00013980624,0.00016092366,0.00037092288],"domain_scores_gemma":[0.9995415,0.000008780697,0.00015039429,0.00010982513,0.000018390136,0.00017108675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021258142,0.00011616117,0.0002446235,0.000010307029,0.00018447168,0.000004784775,0.00025216496,0.00014972074,0.00012842708],"category_scores_gemma":[0.000021194013,0.00007827442,0.000033372977,0.00018173837,0.00034565348,0.00010257854,0.00012346107,0.00024226218,0.000007764977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016222677,0.00027077258,0.29334062,0.000018585532,0.000107833635,0.00090190605,0.0025481472,0.6070476,0.015749225,0.00020916562,0.0022535985,0.07739031],"study_design_scores_gemma":[0.0017274722,0.0016608584,0.1480413,0.00006693089,0.000079442645,0.009006757,0.00024198505,0.82054305,0.0035788254,0.0048693824,0.009421145,0.00076284574],"about_ca_topic_score_codex":0.00084908906,"about_ca_topic_score_gemma":0.004096663,"teacher_disagreement_score":0.21349546,"about_ca_system_score_codex":0.000080473794,"about_ca_system_score_gemma":0.00007647779,"threshold_uncertainty_score":0.3191938},"labels":[],"label_agreement":null},{"id":"W2156459725","doi":"10.1175/2009jtecho701.1","title":"Analysis and Forecasting of Sea Ice Conditions with Three-Dimensional Variational Data Assimilation and a Coupled Ice–Ocean Model","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Ensemble Kalman filter; Climatology; Sea ice; Environmental science; Meteorology; Covariance; Kalman filter; Sea ice concentration; Geology; Arctic ice pack; Sea ice thickness; Statistics; Mathematics; Extended Kalman filter; Geography","score_opus":0.013604475381812477,"score_gpt":0.21525389828103011,"score_spread":0.20164942289921764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156459725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940475,0.00031258806,0.058181707,0.00085648306,0.000016094951,0.00004959238,0.000055946624,0.000009338448,0.00004323394],"genre_scores_gemma":[0.92112374,0.000097681695,0.07860782,0.000098520984,0.000018130357,3.218305e-8,0.000044722103,0.0000020030457,0.00000732429],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991755,0.000014170632,0.000324529,0.00016540306,0.00019037328,0.00013001435],"domain_scores_gemma":[0.9991247,0.00014977652,0.0004125832,0.000121495024,0.00012553802,0.00006587678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028564048,0.00010072425,0.00028536184,0.000041506915,0.0001436481,0.000016487453,0.00012269609,0.0000911637,0.000045226272],"category_scores_gemma":[0.00006819243,0.00007365974,0.000023742015,0.00042439916,0.00018323214,0.00028758464,0.000025119041,0.00017814679,1.14363274e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013418592,0.000032695105,0.9370674,0.000012326701,0.00031993544,0.0000196304,0.000059791415,0.04221513,0.000022195958,0.0007114729,0.00002771791,0.01937754],"study_design_scores_gemma":[0.00030614383,0.00021055949,0.39433622,0.000014219785,0.0002570715,0.00025622404,0.00008339358,0.6011673,6.639636e-7,0.0033120946,0.0000036662511,0.00005245973],"about_ca_topic_score_codex":0.00005803932,"about_ca_topic_score_gemma":0.000173507,"teacher_disagreement_score":0.55895215,"about_ca_system_score_codex":0.0000043552013,"about_ca_system_score_gemma":0.00009623739,"threshold_uncertainty_score":0.3003757},"labels":[],"label_agreement":null},{"id":"W2161816611","doi":"10.1175/jtech-d-13-00007.1","title":"Improved Airborne Hot-Wire Measurements of Ice Water Content in Clouds","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Glenn Research Center; Canadian Space Agency; Transport Canada; Federal Aviation Administration; National Aeronautics and Space Administration","keywords":"Wind tunnel; Environmental science; Ice crystals; Materials science; Particle (ecology); Wind speed; Atmospheric sciences; Meteorology; Remote sensing; Optics; Geology; Physics; Mechanics","score_opus":0.012456715342500936,"score_gpt":0.2015836026137809,"score_spread":0.18912688727127996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161816611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698675,0.0005836641,0.0006960587,0.0008978756,0.0001364715,0.00018105214,3.0038245e-7,0.000017028948,0.00050077523],"genre_scores_gemma":[0.9897558,0.00013495522,0.009574266,0.00017584297,0.000021138718,0.0000046395744,1.5214066e-7,0.000015819796,0.0003173528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985131,0.00003244931,0.0006585462,0.00019617593,0.00024813542,0.00035158248],"domain_scores_gemma":[0.99927413,0.000020856316,0.00035296747,0.00020111393,0.00005646757,0.00009445748],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003032393,0.00017596551,0.0004227465,0.0000020568425,0.00004483603,0.000011533082,0.00034424887,0.00020158218,0.0012115857],"category_scores_gemma":[0.00005420447,0.00011523848,0.000077587414,0.00026814142,0.0003334735,0.0001664064,0.00020609832,0.00030188455,0.000026995305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015323442,0.00041562974,0.6164606,0.000031016716,0.00011113295,0.00003333609,0.0005170337,0.00017023849,0.28247833,0.000085336644,0.0013924661,0.09815161],"study_design_scores_gemma":[0.005547293,0.0030650792,0.91340387,0.00015633904,0.00012670908,0.0003408407,0.0037667132,0.0034387535,0.062979184,0.0028144736,0.0036456913,0.0007150622],"about_ca_topic_score_codex":0.0003552972,"about_ca_topic_score_gemma":0.000024435223,"teacher_disagreement_score":0.29694325,"about_ca_system_score_codex":0.00012183533,"about_ca_system_score_gemma":0.000017725524,"threshold_uncertainty_score":0.99970144},"labels":[],"label_agreement":null},{"id":"W2162603472","doi":"10.1175/2008jtecho632.1","title":"Inferring Propagation Direction of Nonlinear Internal Waves in a Vertically Sheared Background Flow","year":2008,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Internal wave; Acoustics; Amplitude; Mean flow; Wave propagation; Doppler effect; Flow (mathematics); Geology; Mechanical wave; Physics; Mechanics; Longitudinal wave; Optics; Turbulence","score_opus":0.008740437148939444,"score_gpt":0.20339102947669024,"score_spread":0.1946505923277508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162603472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99340326,0.002467685,0.0033968517,0.00019880099,0.0001595362,0.00005998199,0.0000014679268,0.000022954124,0.00028947872],"genre_scores_gemma":[0.9663831,0.0015905679,0.031909566,0.00003322258,0.00005234317,1.5464084e-7,9.004559e-7,0.000004071794,0.000026087831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892783,0.000027823475,0.0005278458,0.00013559847,0.0001879229,0.00019297226],"domain_scores_gemma":[0.99939567,0.00006135864,0.00028491567,0.00008131836,0.00011475622,0.00006201039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019706518,0.0001186144,0.00031670113,0.000027813976,0.00006309303,0.000010855473,0.00016653645,0.00013556945,0.000109886874],"category_scores_gemma":[0.00010841026,0.00009141444,0.000054874054,0.0007056505,0.00025929816,0.0002883085,0.000018228859,0.0002876025,0.0000019862362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016196405,0.00006624953,0.9143923,0.00004220628,0.000040283263,0.00008382664,0.00018933031,0.000586474,0.00020277042,0.000045739565,0.00003531953,0.08415356],"study_design_scores_gemma":[0.00097576116,0.001111931,0.92954105,0.00016548837,0.000028923274,0.0012368349,0.0008628376,0.06352902,0.0005769451,0.0011822433,0.0006238605,0.00016510554],"about_ca_topic_score_codex":0.00007271479,"about_ca_topic_score_gemma":0.00007464756,"teacher_disagreement_score":0.08398846,"about_ca_system_score_codex":0.000009179585,"about_ca_system_score_gemma":0.0001099836,"threshold_uncertainty_score":0.37277725},"labels":[],"label_agreement":null},{"id":"W2168350105","doi":"10.1175/2011jtecha1493.1","title":"Design and Performance Characteristics of the New 8.5-m Dual-Offset Gregorian Antenna for the CSU–CHILL Radar","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Manitoba; Colorado State University; National Science Foundation","keywords":"Radar; Environmental science; Weather radar; Meteorology; Remote sensing; Clutter; Polarimetry; Offset (computer science); Geology; Physics; Computer science; Telecommunications; Optics; Scattering","score_opus":0.018662371191699004,"score_gpt":0.18754141297725535,"score_spread":0.16887904178555635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168350105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537798,0.0031689764,0.041167635,0.0014059632,0.00028280486,0.0001468739,0.0000044922986,0.00000894687,0.000034461555],"genre_scores_gemma":[0.9835855,0.0014934848,0.0147135835,0.000075449745,0.000056543304,1.7055304e-7,4.5554523e-7,0.0000022265938,0.00007262051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993909,0.000029001732,0.00027585705,0.00007340221,0.000116450545,0.00011439817],"domain_scores_gemma":[0.999305,0.000090377085,0.0003783175,0.0001034869,0.000084720705,0.00003808094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040738002,0.00007708154,0.00017937955,0.000011758892,0.00013945355,0.000011223141,0.00019146857,0.000063131134,0.00007878815],"category_scores_gemma":[0.000076269775,0.000038770893,0.000049122795,0.00021848812,0.00015204531,0.00010385661,0.000012419961,0.0001259262,7.385968e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028178171,0.000023366194,0.6457539,0.0000295478,0.00022375633,0.0000034746345,0.0007225454,0.000016414218,0.00043731905,0.00028303827,0.00075829,0.35146654],"study_design_scores_gemma":[0.00058332295,0.00069759425,0.9742449,0.00004168398,0.00022369379,0.00014423356,0.0005444117,0.018664341,0.0002729609,0.002657895,0.0018272529,0.000097735996],"about_ca_topic_score_codex":0.0000145972,"about_ca_topic_score_gemma":0.0000091856955,"teacher_disagreement_score":0.35136878,"about_ca_system_score_codex":0.0000021357878,"about_ca_system_score_gemma":0.00005742876,"threshold_uncertainty_score":0.15810311},"labels":[],"label_agreement":null},{"id":"W2168543820","doi":"10.1175/jtech-d-11-00202.1","title":"Evaluation of EarthCARE Cloud Profiling Radar Doppler Velocity Measurements in Particle Sedimentation Regimes","year":2013,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute on Aging; Natural Environment Research Council; Sight Research UK; U.S. Department of Energy","keywords":"Doppler effect; Remote sensing; Doppler radar; Environmental science; Radar; Cirrus; Meteorology; Geology; Computer science; Physics","score_opus":0.021158871038190103,"score_gpt":0.2520708256565294,"score_spread":0.23091195461833927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168543820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974802,0.0007784832,0.00060271943,0.00048673464,0.00010402103,0.0002513392,2.482544e-7,0.000011746077,0.00028446602],"genre_scores_gemma":[0.9810749,0.00006652062,0.018751847,0.000041441603,0.000021368212,0.000006460411,2.3227348e-7,0.000008370092,0.000028803634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850357,0.00009017647,0.00046730947,0.00014805635,0.00060397945,0.0001868976],"domain_scores_gemma":[0.9992729,0.00001766326,0.00040624343,0.00012527705,0.00012635012,0.000051570947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096973963,0.00010469294,0.00022066974,0.0000016629803,0.00004555763,0.000009744784,0.00014527136,0.00011490004,0.000639589],"category_scores_gemma":[0.000107509455,0.00008575315,0.00003822862,0.00040283817,0.00016777628,0.00024245697,0.00007304527,0.00016578354,0.000011569637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030947234,0.00013957563,0.8377121,0.000011194124,0.000048391586,0.0000025527224,0.00039753516,0.00089818053,0.029675772,0.0001354223,0.0005201746,0.13042814],"study_design_scores_gemma":[0.0034420763,0.0008254269,0.90602744,0.00008932206,0.00019008624,0.00010564655,0.005942083,0.02520878,0.048548874,0.009117706,0.00020643379,0.00029614172],"about_ca_topic_score_codex":0.00008723732,"about_ca_topic_score_gemma":0.000011822815,"teacher_disagreement_score":0.13013199,"about_ca_system_score_codex":0.00017529202,"about_ca_system_score_gemma":0.000047734924,"threshold_uncertainty_score":0.7003051},"labels":[],"label_agreement":null},{"id":"W2169033277","doi":"10.1175/jtech-d-13-00133.1","title":"A Robust Estimation Method for Correcting Dynamic Draft Error in PPK GPS Elevation Using ADCP Tilt Data","year":2014,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Global Positioning System; Acoustic Doppler current profiler; Kinematics; Geodesy; Elevation (ballistics); Tilt (camera); Computer science; Real Time Kinematic; Geology; Remote sensing; Rotation (mathematics); Environmental science; Current (fluid); Telecommunications; Mathematics; Computer vision","score_opus":0.04284125105567274,"score_gpt":0.286177041840134,"score_spread":0.24333579078446124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169033277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58755004,0.0002106767,0.4117123,0.00021392448,0.00019849945,0.000086605396,0.000004844583,0.000009312974,0.000013784349],"genre_scores_gemma":[0.70314556,0.00001089767,0.29676387,0.00003278096,0.00002641492,1.3994615e-7,0.000009800654,0.0000030741708,0.000007482104],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909496,0.000047526937,0.00036756476,0.00016995797,0.0001371454,0.00018281712],"domain_scores_gemma":[0.9991868,0.00011833414,0.00040962445,0.00016363765,0.000084685984,0.000036893034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010928474,0.00009523071,0.0002312488,0.000028937946,0.000092515904,0.000027190246,0.00024329836,0.00010551955,0.000016035752],"category_scores_gemma":[0.00036444742,0.00008114359,0.00002621603,0.0003245063,0.00003205442,0.0002543356,0.000023379149,0.00019513161,0.000001271867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066660345,0.000035387537,0.11645188,0.000041696414,0.000033934382,0.000003867332,0.00008784182,0.04217664,0.0004707059,0.00009825427,0.00005957412,0.84047353],"study_design_scores_gemma":[0.000485926,0.00022938571,0.059006225,0.000049142498,0.0000371234,0.00009955465,0.00023448376,0.93336785,0.00002651795,0.0061309305,0.00024885108,0.00008400119],"about_ca_topic_score_codex":0.00014635768,"about_ca_topic_score_gemma":0.00029600714,"teacher_disagreement_score":0.89119124,"about_ca_system_score_codex":0.000013132871,"about_ca_system_score_gemma":0.000056093504,"threshold_uncertainty_score":0.33089396},"labels":[],"label_agreement":null},{"id":"W2170711136","doi":"10.1175/2009jtecho696.1","title":"Acoustic Detection of Oceanic Double-Diffusive Convection: A Feasibility Study","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Ocean Life Institute, Woods Hole Oceanographic Institution; Dalhousie University; Woods Hole Oceanographic Institution","keywords":"Scattering; Convection; Double diffusive convection; Range (aeronautics); Geology; Computational physics; Geophysics; Materials science; Physics; Optics; Meteorology; Natural convection","score_opus":0.008700904181005192,"score_gpt":0.22390022826518818,"score_spread":0.215199324084183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170711136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99079114,0.0042025307,0.0039387066,0.00017858093,0.00030689838,0.00025263283,0.0000020894918,0.00006148285,0.00026593826],"genre_scores_gemma":[0.9980884,0.0005101238,0.00122236,0.00006246826,0.00008165996,2.0467505e-7,4.4706013e-7,0.0000044382423,0.00002985528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846435,0.0000471155,0.0006761982,0.00025461306,0.00028580194,0.000271915],"domain_scores_gemma":[0.99863964,0.00007514798,0.00069497124,0.00020872353,0.0002681622,0.0001133608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003835125,0.00020710652,0.000526389,0.000027725646,0.00014700135,0.00002467331,0.0002971207,0.00019042834,0.00016100521],"category_scores_gemma":[0.00009428862,0.00015809183,0.00010629414,0.0012067481,0.00023948835,0.0002693088,0.00001702472,0.00039801883,0.0000028457137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012188046,0.0007258881,0.8355329,0.00006991064,0.00020774837,0.0001179315,0.00043534598,0.00046485753,0.0015223208,0.0000940573,0.00007754175,0.15953273],"study_design_scores_gemma":[0.003270678,0.009659779,0.97165227,0.000050875657,0.00023951461,0.000899543,0.0063464944,0.0024166268,0.00092939637,0.004081044,0.00018714652,0.00026661163],"about_ca_topic_score_codex":0.000030084952,"about_ca_topic_score_gemma":0.000047885107,"teacher_disagreement_score":0.15926611,"about_ca_system_score_codex":0.00001338118,"about_ca_system_score_gemma":0.00011383001,"threshold_uncertainty_score":0.6446798},"labels":[],"label_agreement":null},{"id":"W2170751583","doi":"10.1175/2009jtecha1215.1","title":"A New Bruker IFS 125HR FTIR Spectrometer for the Polar Environment Atmospheric Research Laboratory at Eureka, Nunavut, Canada: Measurements and Comparison with the Existing Bomem DA8 Spectrometer","year":2009,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Spectrometer; Environmental science; Remote sensing; Polar; Satellite; Arctic; Meteorology; The arctic; Atmospheric sciences; Physics; Optics; Geology","score_opus":0.026362727338087515,"score_gpt":0.24531899529023285,"score_spread":0.21895626795214534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170751583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675739,0.020598471,0.0015412364,0.009357502,0.0001370468,0.0004238133,0.000011531157,0.0000241256,0.00033241027],"genre_scores_gemma":[0.9572155,0.0011877778,0.040180728,0.0006217707,0.00020952572,0.0000017987195,0.0000018599833,0.000016392167,0.00056465174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976017,0.000117156196,0.00049709465,0.00034601765,0.00072442985,0.000713622],"domain_scores_gemma":[0.99853456,0.00036491596,0.00044134306,0.00033892,0.00011855159,0.0002017068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033406,0.00028621618,0.00048257186,0.000006357581,0.0007240958,0.00009227171,0.00051692576,0.00014050819,0.00039668803],"category_scores_gemma":[0.000070865586,0.00015198835,0.00006325346,0.00065642304,0.00033561935,0.0001592301,0.000058985916,0.0006991249,0.000005485576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017890529,0.00018265178,0.63157773,0.00007635337,0.0011518492,0.0002748869,0.0013493594,0.0007572569,0.0024921119,0.0003353873,0.06806036,0.29195303],"study_design_scores_gemma":[0.002933861,0.0067117424,0.76770115,0.000095458214,0.00043409845,0.0009478955,0.0061421106,0.004769055,0.0004558236,0.0013331735,0.2077913,0.00068434724],"about_ca_topic_score_codex":0.0051982473,"about_ca_topic_score_gemma":0.021349343,"teacher_disagreement_score":0.29126868,"about_ca_system_score_codex":0.00013012851,"about_ca_system_score_gemma":0.00039975002,"threshold_uncertainty_score":0.9965085},"labels":[],"label_agreement":null},{"id":"W2171570679","doi":"10.1175/2010jtecha1518.1","title":"An Extensive Comparison of Commercial Pyrheliometers under a Wide Range of Routine Observing Conditions","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Radiometer; Irradiance; Calibration; Environmental science; Remote sensing; Range (aeronautics); Meteorology; Solar irradiance; Optics; Physics; Statistics; Mathematics; Geology; Materials science","score_opus":0.03613926648735765,"score_gpt":0.269538504645516,"score_spread":0.23339923815815833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171570679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9534802,0.00087534654,0.04512144,0.00008571522,0.00009536908,0.00007401602,0.0000032554356,0.00009770632,0.00016695613],"genre_scores_gemma":[0.983045,0.00020687867,0.016666837,0.00004959031,0.000013395921,0.0000010074015,6.7300806e-7,0.0000140606935,0.0000025676711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991925,0.000019137866,0.0005047527,0.00006180471,0.00011153566,0.00011029624],"domain_scores_gemma":[0.9993362,0.000027210957,0.00027592652,0.00013535508,0.00017740794,0.000047927406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013156234,0.0000974357,0.0003711411,0.00005308279,0.000023982013,0.0000035824294,0.00015486321,0.00012619802,0.000058074507],"category_scores_gemma":[0.00003582409,0.00008935746,0.0000593475,0.00034333637,0.00013331762,0.00014088338,0.000021080043,0.00018259698,2.4856774e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003986136,0.00118395,0.5298558,0.0004200937,0.0009577662,0.000044474706,0.0054415236,0.0013563172,0.38890263,0.021547783,0.0066306056,0.04326046],"study_design_scores_gemma":[0.0034356352,0.003515276,0.65180504,0.00049184205,0.00045699728,0.00026119233,0.0120323915,0.014055253,0.30408677,0.008498205,0.00077863055,0.00058279786],"about_ca_topic_score_codex":0.000008695542,"about_ca_topic_score_gemma":0.0000087458075,"teacher_disagreement_score":0.121949226,"about_ca_system_score_codex":0.000024309504,"about_ca_system_score_gemma":0.000021169963,"threshold_uncertainty_score":0.36438915},"labels":[],"label_agreement":null},{"id":"W2171575011","doi":"10.1175/jtech2011.1","title":"Calibration of Sun Radiometer–Based Atmospheric Water Vapor Retrievals Using GPS Meteorology","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"Goddard Space Flight Center; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"AERONET; Radiometer; Environmental science; Remote sensing; Global Positioning System; Calibration; Meteorology; Context (archaeology); Precipitable water; Aerosol; Water vapor; Geography; Physics; Computer science","score_opus":0.00644901330890802,"score_gpt":0.22762405937693464,"score_spread":0.22117504606802663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171575011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7145084,0.00057015294,0.28410754,0.0001582382,0.00028916897,0.000110456436,0.0000027277986,0.000023153256,0.000230169],"genre_scores_gemma":[0.9117795,0.000021929203,0.08782107,0.00007105993,0.00016554579,7.2675806e-7,0.0000035957924,0.000032925785,0.00010365987],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980286,0.000052412557,0.0010016378,0.00022998365,0.00021069663,0.00047666766],"domain_scores_gemma":[0.99849534,0.0001032671,0.0007732753,0.00025909548,0.00025609237,0.00011294988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061236095,0.00025918236,0.0006798501,0.000019549623,0.000096541735,0.000019589314,0.00028460065,0.00027993284,0.0005229613],"category_scores_gemma":[0.0000258618,0.00019684255,0.00019087298,0.00066007004,0.00025760813,0.00022089483,0.00008130865,0.00038922895,0.00000149742],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023858487,0.001578331,0.31725842,0.0002793588,0.002078998,0.0003375041,0.00093036576,0.0067848717,0.25677437,0.03995172,0.0012082579,0.37043196],"study_design_scores_gemma":[0.025013825,0.015840815,0.02212966,0.0004548633,0.003145105,0.0017422786,0.010339085,0.3936112,0.39635587,0.094934985,0.032519322,0.0039130063],"about_ca_topic_score_codex":0.00004532248,"about_ca_topic_score_gemma":0.000002962147,"teacher_disagreement_score":0.3868263,"about_ca_system_score_codex":0.000058181104,"about_ca_system_score_gemma":0.00014540173,"threshold_uncertainty_score":0.80270064},"labels":[],"label_agreement":null},{"id":"W2173171496","doi":"10.1175/jtech2004.1","title":"Spaced-Antenna Interferometry to Measure Crossbeam Wind, Shear, and Turbulence: Theory and Formulation","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Nunavut Wildlife Research Trust","keywords":"Turbulence; Shear (geology); Wind shear; Physics; Geology; Optics; Wind speed; Mechanics; Meteorology","score_opus":0.008644516524493434,"score_gpt":0.22491473577679444,"score_spread":0.216270219252301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173171496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96891826,0.0065283687,0.023717724,0.0005201793,0.00009703146,0.00006398571,0.0000015148713,0.000018713818,0.00013421508],"genre_scores_gemma":[0.99175704,0.00042729662,0.007542519,0.00015733259,0.000046533423,4.946115e-8,5.867149e-7,0.0000030797048,0.000065563254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912083,0.00003416527,0.00030690336,0.0001474025,0.00019522085,0.00019545261],"domain_scores_gemma":[0.9993779,0.00011715335,0.00018006438,0.00007788961,0.00011522474,0.00013176471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014323704,0.000110825764,0.00022898901,0.00007087204,0.0001150664,0.00004800813,0.00010680623,0.00012470274,0.00009915042],"category_scores_gemma":[0.0002505265,0.00008216524,0.00003438691,0.00047759883,0.0001072453,0.00023046425,0.0000202134,0.00020564499,0.0000032389792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003456159,0.000014346125,0.7242379,0.000018188595,0.0000933204,0.00001813315,0.0004440701,0.000057133944,0.0015474769,0.00040915175,0.000093091265,0.2727216],"study_design_scores_gemma":[0.0006389446,0.0007643634,0.9863023,0.0000797584,0.000090948626,0.00027249794,0.0023749738,0.0014336287,0.00033986036,0.0069951303,0.0005358253,0.00017178073],"about_ca_topic_score_codex":0.000008458361,"about_ca_topic_score_gemma":0.000033358752,"teacher_disagreement_score":0.2725498,"about_ca_system_score_codex":0.0000067037217,"about_ca_system_score_gemma":0.000019912008,"threshold_uncertainty_score":0.33506015},"labels":[],"label_agreement":null},{"id":"W2173359889","doi":"10.1175/1520-0426(2001)018<1941:maoati>2.0.co;2","title":"Moisture Analysis of a Type I Cloud-Topped Boundary Layer from Doppler Radar and Rawinsonde Observations","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Radiosonde; Humidity; Meteorology; Wind profiler; Radar; Convective storm detection; Environmental science; Boundary layer; Atmospheric sciences; Doppler radar; Mesoscale meteorology; Geology; Climatology; Storm; Geography; Physics","score_opus":0.02084793867764445,"score_gpt":0.22691608317095674,"score_spread":0.2060681444933123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173359889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910395,0.006629497,0.0010228496,0.0009011897,0.00011858043,0.000046028854,0.00001847016,0.000015934887,0.00020791352],"genre_scores_gemma":[0.9865947,0.0011711147,0.011886278,0.00020376133,0.00005220641,8.087826e-8,0.000011591725,0.000002300144,0.000077995166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915916,0.000039347018,0.0003837474,0.00013793277,0.00013494302,0.00014485806],"domain_scores_gemma":[0.9992427,0.00017103687,0.00027277705,0.00013219383,0.00010012209,0.00008111905],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015773939,0.00010184517,0.00040550012,0.000043107273,0.00010666371,0.00001856102,0.00014781645,0.00015726102,0.0009470795],"category_scores_gemma":[0.00009533467,0.00007141367,0.00007114867,0.0011745378,0.00017321297,0.00010997327,0.000018412074,0.00021077637,0.0000018592249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001019364,0.000027497157,0.9878661,0.0000027662127,0.00046259284,0.000022873104,0.000099340585,0.0015758727,0.0003135061,0.0003407364,0.0002656099,0.008921183],"study_design_scores_gemma":[0.0003930777,0.0003404118,0.9681156,0.0000054202824,0.00047798126,0.000035379187,0.0003226367,0.011830079,0.0000056364406,0.009948347,0.008439167,0.000086245316],"about_ca_topic_score_codex":0.00014630801,"about_ca_topic_score_gemma":0.0001720214,"teacher_disagreement_score":0.019750468,"about_ca_system_score_codex":0.000004236805,"about_ca_system_score_gemma":0.00004139674,"threshold_uncertainty_score":0.9999662},"labels":[],"label_agreement":null},{"id":"W2173433507","doi":"10.1175/jtech1946.1","title":"Algorithms for Density, Potential Temperature, Conservative Temperature, and the Freezing Temperature of Seawater","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Temperature salinity diagrams; Seawater; Salinity; Thermodynamics; Potential temperature; Computation; Thermal expansion; Thermal; Environmental science; Applied mathematics; Mathematics; Algorithm; Physics; Meteorology; Geology; Oceanography","score_opus":0.0036678723313062207,"score_gpt":0.18510931858218724,"score_spread":0.18144144625088102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173433507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801977,0.016985375,0.00030779434,0.0018822255,0.0002726935,0.00023366943,0.00001785432,0.000028355102,0.00007433031],"genre_scores_gemma":[0.9844974,0.0012047879,0.013642615,0.00027941298,0.00021215383,8.472028e-7,0.000005405857,0.000008896023,0.00014845551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863774,0.000058100744,0.00054600945,0.00023383572,0.00022220932,0.0003020835],"domain_scores_gemma":[0.9987559,0.0002056423,0.00047216573,0.00014544372,0.0003543894,0.000066476896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043600082,0.00023946725,0.00057797844,0.000018261724,0.00028699357,0.00008184254,0.00029087524,0.00032454828,0.000029726289],"category_scores_gemma":[0.000083516185,0.00013521314,0.00012788588,0.00056555204,0.00095588894,0.00022939703,0.000037970265,0.00047192018,4.0142953e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034802812,0.00028050697,0.90297306,0.0006884073,0.0012812346,0.00033303382,0.000725267,0.0010188336,0.020688633,0.01283465,0.015100375,0.040595736],"study_design_scores_gemma":[0.023801748,0.004763927,0.7471452,0.0007141258,0.0013823706,0.007206833,0.010585353,0.01137007,0.03423906,0.14777988,0.009164691,0.0018467857],"about_ca_topic_score_codex":0.0001474709,"about_ca_topic_score_gemma":0.000062432824,"teacher_disagreement_score":0.1558279,"about_ca_system_score_codex":0.000003946125,"about_ca_system_score_gemma":0.00010421711,"threshold_uncertainty_score":0.5513832},"labels":[],"label_agreement":null},{"id":"W2173726747","doi":"10.1175/1520-0426(2001)018<1867:uabslt>2.0.co;2","title":"Using ADCP Background Sound Levels to Estimate Wind Speed","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wind speed; Environmental science; Sound (geography); Acoustics; Attenuation; Doppler effect; Speed of sound; Sound speed gradient; Ambient noise level; Calibration; Wind profiler; Relative wind; Wind direction; Geology; Meteorology; SIGNAL (programming language); Noise (video); Sound intensity; Computer science; Physics; Radar; Aerodynamics","score_opus":0.053992452277785354,"score_gpt":0.31898674778059344,"score_spread":0.26499429550280806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173726747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94209,0.00068536715,0.05588013,0.0005677043,0.00023633275,0.00008750908,0.00000393197,0.000025716648,0.00042330628],"genre_scores_gemma":[0.92433023,0.000085605425,0.075147405,0.00010253436,0.000103421065,1.4768623e-8,4.723868e-7,0.000007236496,0.0002230729],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986589,0.000031927037,0.00037841962,0.00018570111,0.00030089193,0.0004441635],"domain_scores_gemma":[0.9992495,0.00007824549,0.00016651882,0.00015606554,0.00013867528,0.00021099349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036,0.00014923578,0.0003053024,0.00005304403,0.0001478665,0.00008973942,0.0003483939,0.00015802559,0.0008168041],"category_scores_gemma":[0.00007009892,0.000116616924,0.000045826455,0.0006867953,0.00017598645,0.00021828728,0.00005025214,0.0003654039,0.000046373374],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033996906,0.000085492145,0.7891367,0.00004456922,0.00021774405,0.0015957182,0.00027417036,0.10442726,0.0047168084,0.00014769747,0.0006756499,0.098338224],"study_design_scores_gemma":[0.00302551,0.003955278,0.44588017,0.00019304192,0.00022409785,0.021723991,0.0031088276,0.45131704,0.00066921616,0.05387025,0.015000638,0.0010319252],"about_ca_topic_score_codex":0.00006254812,"about_ca_topic_score_gemma":0.00005497606,"teacher_disagreement_score":0.3468898,"about_ca_system_score_codex":0.000025869782,"about_ca_system_score_gemma":0.000116114556,"threshold_uncertainty_score":0.89434326},"labels":[],"label_agreement":null},{"id":"W2173731830","doi":"10.1175/jtech1889.1","title":"On Measuring the Terms of the Turbulent Kinetic Energy Budget from an AUV","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Turbulence; Turbulence kinetic energy; Mechanics; Reynolds stress; Buoyancy; Heat flux; Physics; Kinetic energy; Reynolds number; Energy budget; Dissipation; Shear velocity; Meteorology; Heat transfer; Thermodynamics; Classical mechanics","score_opus":0.003413002260866436,"score_gpt":0.1683024685867468,"score_spread":0.16488946632588036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173731830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99189836,0.0048233382,0.0008327273,0.0015124035,0.000228149,0.000046141577,0.0000042922866,0.000022398812,0.0006322085],"genre_scores_gemma":[0.99786663,0.00040571063,0.001215209,0.00031332724,0.000116454416,1.8796233e-7,0.0000010066018,0.000005343144,0.00007610891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887794,0.000054556014,0.00040778422,0.00015780487,0.0002875581,0.0002143793],"domain_scores_gemma":[0.99905276,0.0001201948,0.00046234025,0.0002558314,0.00006072137,0.000048139846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016904651,0.00015438924,0.00026415312,0.0000076124325,0.00015561403,0.000026500362,0.0006069757,0.00012669891,0.0001368547],"category_scores_gemma":[0.000039321625,0.00007445811,0.00009082546,0.0005057448,0.00036489923,0.000107115426,0.000025894476,0.00027244116,0.0000011136981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002061834,0.00020568799,0.78783107,0.000027668737,0.00016539794,0.00006622464,0.00016176012,0.0047810674,0.00048951263,0.00765462,0.0019875562,0.19642325],"study_design_scores_gemma":[0.00079167547,0.0011378808,0.88182306,0.00012769445,0.00012500661,0.0003525846,0.0005319855,0.003971289,0.002510692,0.10020537,0.00817531,0.00024743553],"about_ca_topic_score_codex":0.00045226415,"about_ca_topic_score_gemma":0.00016637414,"teacher_disagreement_score":0.19617581,"about_ca_system_score_codex":0.0000048231714,"about_ca_system_score_gemma":0.000048462814,"threshold_uncertainty_score":0.30363137},"labels":[],"label_agreement":null},{"id":"W2174193613","doi":"10.1175/jtech-d-15-0137.1","title":"Synthetic Modeling for an Acoustic Exploration System for Physical Oceanography","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Physical oceanography; Geology; Chirp; Instrumentation (computer programming); Marine engineering; Acoustics; Seismology; Oceanography; Computer science; Engineering; Physics","score_opus":0.04363909943503902,"score_gpt":0.2707008789291124,"score_spread":0.22706177949407336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174193613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42052042,0.00032300042,0.5786372,0.00013452889,0.00013993133,0.00017772273,0.000008422301,0.000033335586,0.000025445399],"genre_scores_gemma":[0.95397836,0.000036054338,0.045772724,0.000012967223,0.00017704537,0.0000020974123,0.000003917421,0.000008078938,0.0000087729795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990284,0.00002885329,0.0002896652,0.00016908105,0.00020652682,0.0002774671],"domain_scores_gemma":[0.99909484,0.00010951527,0.00015295153,0.00012607481,0.00035176388,0.00016485492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048216627,0.00011507493,0.00027425846,0.00004283449,0.00011015169,0.000052293326,0.00023344412,0.000117245865,0.0000021684705],"category_scores_gemma":[0.00011598383,0.00008631452,0.00006997587,0.00025223635,0.00009039443,0.00033584895,0.000011737651,0.00015645557,0.000001671954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013759186,0.00022992368,0.005572157,0.00040912273,0.00020439856,0.000028407165,0.0011767856,0.89940876,0.0010738495,0.0006973791,0.00059175,0.08923155],"study_design_scores_gemma":[0.000838981,0.0028139914,0.000025508003,0.000031265827,0.000072594,0.00014980425,0.004228822,0.97912246,0.00013771078,0.012327406,0.00015097746,0.00010046765],"about_ca_topic_score_codex":0.000006598327,"about_ca_topic_score_gemma":0.000014790145,"teacher_disagreement_score":0.53345793,"about_ca_system_score_codex":0.000016811988,"about_ca_system_score_gemma":0.00011784634,"threshold_uncertainty_score":0.3519804},"labels":[],"label_agreement":null},{"id":"W2174458912","doi":"10.1175/1520-0426(2001)018<1229:mamsdw>2.0.co;2","title":"Mesocyclone and Microburst Signature Distortion with Dual PRT Radars","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mesocyclone; Microburst; Distortion (music); Remote sensing; Environmental science; Computer science; Geology; Meteorology; Radar; Telecommunications; Physics; Bandwidth (computing); Doppler radar; Wind shear","score_opus":0.00504288833582529,"score_gpt":0.18033417668019036,"score_spread":0.17529128834436508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174458912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898533,0.006317802,0.001996518,0.0012259604,0.00007212693,0.00005951231,0.0000021850021,0.000021952657,0.00045060366],"genre_scores_gemma":[0.9916011,0.00077318924,0.0073327865,0.00011984493,0.00004978706,8.873696e-8,0.0000018105944,0.0000025153504,0.00011889591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936324,0.000023210498,0.00021804331,0.00012314453,0.000109382265,0.00016299215],"domain_scores_gemma":[0.9995572,0.000059261652,0.0001830842,0.00006960174,0.00004558053,0.00008530349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013162967,0.00009984495,0.00021547447,0.000015841271,0.000114716604,0.000018068464,0.00007799327,0.00013656801,0.00027030578],"category_scores_gemma":[0.000030852,0.00006149756,0.000022892526,0.00026839055,0.00019935746,0.00012577946,0.000009446503,0.0002615314,0.0000021483982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032420814,0.000044824294,0.87263817,0.000010833013,0.000082606435,0.00026296856,0.000119644516,0.0010652429,0.00033852,0.00048177413,0.00037847023,0.124252744],"study_design_scores_gemma":[0.001245485,0.0022274524,0.9634471,0.00002617659,0.00009314428,0.002442658,0.0005969355,0.0022526341,0.000028748278,0.007287016,0.020137213,0.000215413],"about_ca_topic_score_codex":0.000011613191,"about_ca_topic_score_gemma":0.000028075961,"teacher_disagreement_score":0.12403733,"about_ca_system_score_codex":0.0000050364943,"about_ca_system_score_gemma":0.000023349558,"threshold_uncertainty_score":0.29596588},"labels":[],"label_agreement":null},{"id":"W2175022800","doi":"10.1175/jtech1863.1","title":"Calibrating the Spatial Response of Bio-Optical Sensors","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science","keywords":"Fluorometer; Wavenumber; Transfer function; Remote sensing; Optics; Sampling (signal processing); Image resolution; Wavelength; Biological system; Fluorescence; Materials science; Physics; Detector; Geology","score_opus":0.0037035960027558784,"score_gpt":0.19531504001628838,"score_spread":0.1916114440135325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175022800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897452,0.00041765743,0.0072125066,0.002350374,0.000047382353,0.0000264247,0.0000010189354,0.00003051512,0.00016891149],"genre_scores_gemma":[0.9956115,0.00001776811,0.004062993,0.000032639822,0.00011715813,2.2631308e-7,1.6615867e-7,0.000011570123,0.00014600383],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990327,0.000024188275,0.00050341996,0.000099735684,0.00015181096,0.00018817288],"domain_scores_gemma":[0.9991761,0.00032624885,0.00023186614,0.00014183912,0.00007552809,0.000048462167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023374551,0.00011562713,0.00029056898,0.000009208294,0.00004469668,0.00000749034,0.00018258678,0.00020959292,0.00004141879],"category_scores_gemma":[0.0005038628,0.000074687065,0.00009542571,0.0002633214,0.00030087584,0.000038735438,0.00005401881,0.00041564365,0.0000012232892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016656038,0.00020583544,0.0112890825,0.00010899407,0.00019776198,0.00026986736,0.00012724506,0.0038102441,0.96056974,0.014511575,0.0008927925,0.0063512577],"study_design_scores_gemma":[0.0018516129,0.00087683793,0.013139951,0.0001338041,0.0002718039,0.001759049,0.0012713246,0.10042237,0.8704012,0.005344421,0.004091455,0.00043616758],"about_ca_topic_score_codex":0.000007821627,"about_ca_topic_score_gemma":4.4581668e-7,"teacher_disagreement_score":0.09661212,"about_ca_system_score_codex":0.000024055624,"about_ca_system_score_gemma":0.000025660076,"threshold_uncertainty_score":0.304565},"labels":[],"label_agreement":null},{"id":"W2175586943","doi":"10.1175/jtech1799.1","title":"A Self-Contained Acoustic Scintillation Instrument for Path-Averaged Measurements of Flow and Turbulence with Application to Hydrothermal Vent and Bottom Boundary Layer Dynamics","year":2005,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"","keywords":"Turbulence; Turbulence kinetic energy; Plume; Boundary layer; Scintillation; Advection; Geology; Current meter; Mechanics; Buoyancy; Physics; Meteorology; Optics; Thermodynamics","score_opus":0.004835096568639798,"score_gpt":0.1908064922024553,"score_spread":0.1859713956338155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175586943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93654716,0.0027379086,0.05975618,0.0005795675,0.000036017584,0.00028143224,0.000006455234,0.000023197843,0.000032068237],"genre_scores_gemma":[0.86153626,0.0003434992,0.1379922,0.000083383944,0.000029428451,0.0000014215201,0.000001232385,0.0000049493365,0.0000076160695],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991468,0.000014515902,0.00030967104,0.00017661252,0.00017841406,0.00017397375],"domain_scores_gemma":[0.9993796,0.000037800175,0.00029135688,0.00008408031,0.00011906067,0.00008812333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025022152,0.0001331147,0.00025433686,0.000015489466,0.00011526633,0.000025559397,0.0001035838,0.000094851464,0.000008674123],"category_scores_gemma":[0.000025461957,0.00009874754,0.000022953587,0.0002762456,0.00011736085,0.00017676635,0.000014922467,0.00012559745,2.802535e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042019755,0.00006157956,0.55315346,0.00016020238,0.00012062106,0.00000362181,0.00026093528,0.0046511153,0.0002708441,0.000044286968,0.000021784901,0.44083136],"study_design_scores_gemma":[0.0031831732,0.0040975413,0.23652107,0.00022799567,0.0002657334,0.00048427752,0.00115442,0.7504051,0.0006215861,0.0008063927,0.0018356974,0.0003970389],"about_ca_topic_score_codex":0.00000895418,"about_ca_topic_score_gemma":0.00007168649,"teacher_disagreement_score":0.74575394,"about_ca_system_score_codex":0.00001677608,"about_ca_system_score_gemma":0.000076412885,"threshold_uncertainty_score":0.4026808},"labels":[],"label_agreement":null},{"id":"W2175791951","doi":"10.1175/jtech2015.1","title":"Sea Ice and Current Response to the Wind: A Vector Regressional Analysis Approach","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Ellipse; Wind speed; Geology; Geodesy; Wind direction; Current (fluid); Meteorology; Forcing (mathematics); Ocean current; Mathematics; Geometry; Physics; Climatology; Oceanography","score_opus":0.0060300501962402085,"score_gpt":0.22224137005227212,"score_spread":0.21621131985603192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175791951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787879,0.0026294438,0.01522867,0.0030322692,0.00015156998,0.00006882558,0.0000062743266,0.000013802673,0.000081266946],"genre_scores_gemma":[0.9859941,0.00032857514,0.013323354,0.00021134368,0.000086682725,8.2797975e-8,0.0000014791375,0.0000028131815,0.000051559768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989979,0.000058137124,0.00030940244,0.00016005345,0.00022500525,0.00024947716],"domain_scores_gemma":[0.9991659,0.00026715008,0.0002158214,0.00013776138,0.00007024559,0.00014314978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011762436,0.00011701804,0.00025535363,0.000049412065,0.00018479058,0.000023419105,0.00023334102,0.000096247415,0.000069433525],"category_scores_gemma":[0.00016604348,0.00006669057,0.00006865867,0.0009506863,0.00018483537,0.00008061441,0.000039550472,0.00037700622,0.0000035069206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012844291,0.000047512553,0.7683494,0.000013547887,0.0002614732,0.00006818437,0.00045935865,0.00054340524,0.000020107394,0.00026921573,0.00041652448,0.2282668],"study_design_scores_gemma":[0.00029472655,0.0004543424,0.9736706,0.000019587265,0.00022831267,0.0007125371,0.0018243515,0.008660321,0.0000047419057,0.00036450208,0.0136506595,0.00011530864],"about_ca_topic_score_codex":0.000021250502,"about_ca_topic_score_gemma":0.000037938436,"teacher_disagreement_score":0.2281515,"about_ca_system_score_codex":0.000009752208,"about_ca_system_score_gemma":0.00007270623,"threshold_uncertainty_score":0.27195624},"labels":[],"label_agreement":null},{"id":"W2176028944","doi":"10.1175/jtech1880.1","title":"Satellite Measurement of Stratospheric Winds and Ozone Using Doppler Michelson Interferometry. Part I: Instrument Model and Measurement Simulation","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"COM DEV International; Environment and Climate Change Canada; York University","funders":"National Aeronautics and Space Administration","keywords":"Michelson interferometer; Remote sensing; Radiance; Doppler effect; Environmental science; Satellite; Interferometry; Atmospheric sounding; Meteorology; Physics; Optics; Geology","score_opus":0.027041084701397513,"score_gpt":0.21916912946191297,"score_spread":0.19212804476051545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176028944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739445,0.017411966,0.008085769,0.0001520545,0.00009752972,0.00012641562,0.0000038023975,0.000018991297,0.00015896132],"genre_scores_gemma":[0.9778484,0.0016302669,0.020423997,0.000033318996,0.000043777873,2.425721e-7,8.473053e-7,0.000008169852,0.000010998231],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821395,0.000039201535,0.0007249799,0.0002324867,0.00050879485,0.00028056253],"domain_scores_gemma":[0.99892527,0.000026569833,0.0005809634,0.00013262252,0.00023913576,0.00009543127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000635685,0.00021960781,0.0004613645,0.00001629232,0.00009910677,0.000035560988,0.000119013675,0.0001732513,0.00007250992],"category_scores_gemma":[0.000032492644,0.00017561289,0.000050352854,0.00037443262,0.00021183945,0.00023320751,0.00003424866,0.0002166073,6.4049e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036328813,0.00017492472,0.63847,0.00018636559,0.00027138815,0.000026769678,0.00024578255,0.07834899,0.0062389076,0.0002615186,0.0000715041,0.2753406],"study_design_scores_gemma":[0.0030797347,0.0024182347,0.3948474,0.00041453444,0.00046175058,0.0005770352,0.0019046431,0.5859299,0.0013224212,0.0069838,0.0014039506,0.0006566524],"about_ca_topic_score_codex":0.000118997355,"about_ca_topic_score_gemma":0.000094483374,"teacher_disagreement_score":0.5075809,"about_ca_system_score_codex":0.000036656027,"about_ca_system_score_gemma":0.00008942927,"threshold_uncertainty_score":0.7161286},"labels":[],"label_agreement":null},{"id":"W2176070563","doi":"10.1175/1520-0426(2004)021<0135:tasema>2.0.co;2","title":"The Adaptive Spectral Element Method and Comparisons with More Traditional Formulations for Ocean Modeling","year":2004,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Discontinuous Galerkin method; Nonlinear system; Spectral element method; Galerkin method; Finite difference; Matrix (chemical analysis); Extended finite element method; Applied mathematics; Mixed finite element method; Computer science; Mathematical optimization; Mathematics; Geology; Mathematical analysis; Physics","score_opus":0.027127341537955353,"score_gpt":0.28665483633587424,"score_spread":0.25952749479791887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176070563","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06846004,0.0008016606,0.9296696,0.0008244627,0.00004983549,0.00013054516,0.0000032631922,0.000043664535,0.00001688814],"genre_scores_gemma":[0.42115277,0.00006531244,0.57872975,0.000011340898,0.000027107328,0.0000021093751,2.068321e-7,0.00001037166,0.0000010599744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993574,0.000008279406,0.00029948712,0.00007696772,0.00010909409,0.00014879488],"domain_scores_gemma":[0.9993217,0.00036338886,0.00011656282,0.00006217141,0.000091473965,0.000044690918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016323624,0.00010664441,0.00020471962,0.000012483755,0.00016156417,0.000014086517,0.00009113414,0.000053566615,7.9385387e-7],"category_scores_gemma":[0.00005509974,0.00007082766,0.000034164103,0.00016254891,0.00009324813,0.00008444885,0.000014912787,0.00021615764,6.004491e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034617726,0.000020854193,0.00002905094,0.000014199323,0.00009900545,0.000002280153,0.00012219083,0.8563101,0.000027436618,0.13281809,0.000028712726,0.010493416],"study_design_scores_gemma":[0.00047580712,0.00028952095,0.000096401214,0.00002495269,0.00003579082,0.00023343327,0.00063389185,0.61175126,0.00006987705,0.3862239,0.00010119042,0.0000639364],"about_ca_topic_score_codex":2.0507166e-7,"about_ca_topic_score_gemma":4.0147785e-7,"teacher_disagreement_score":0.35269272,"about_ca_system_score_codex":0.00007108531,"about_ca_system_score_gemma":0.000030936597,"threshold_uncertainty_score":0.2888268},"labels":[],"label_agreement":null},{"id":"W2176163359","doi":"10.1175/jtech1784.1","title":"Estimating Internal Wave Energy Fluxes in the Ocean","year":2005,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":262,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Office of Naval Research; National Science Foundation","keywords":"Internal wave; Sampling (signal processing); Geology; Energy flux; Ridge; Dissipation; Energy (signal processing); Geodesy; Flux (metallurgy); Energy balance; Geophysics; Meteorology; Environmental science; Physics; Statistics; Mathematics; Oceanography; Optics","score_opus":0.005168694699663925,"score_gpt":0.1893033524576592,"score_spread":0.18413465775799528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176163359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821912,0.009172461,0.0048256586,0.0023174172,0.00020649974,0.00003856698,0.0000012758937,0.000029841993,0.001217103],"genre_scores_gemma":[0.95845306,0.00062108465,0.040028602,0.00060371216,0.00024053449,1.0440685e-7,6.246729e-7,0.0000042227334,0.00004802764],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988274,0.000044005814,0.0004762683,0.00015065425,0.00021591313,0.000285765],"domain_scores_gemma":[0.9992987,0.00013668071,0.00032413736,0.00012580537,0.000054752738,0.00005991432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039411965,0.00015406188,0.00027138044,0.000018995366,0.00010499953,0.000048605656,0.00042422177,0.00012400722,0.000193289],"category_scores_gemma":[0.00009074553,0.00009277995,0.00006442987,0.00067872775,0.00022238136,0.0002774129,0.000022845708,0.00037835774,0.0000030583508],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004730588,0.00005510776,0.36829606,0.000015880234,0.00004126999,0.00016046956,0.00039802308,0.0012298125,0.000007492823,0.0009726435,0.0013825909,0.62739336],"study_design_scores_gemma":[0.0033750515,0.0032708067,0.4771667,0.00044954594,0.00018527757,0.013675359,0.014552991,0.35397813,0.00022896384,0.053990446,0.078099824,0.0010268767],"about_ca_topic_score_codex":0.00005763979,"about_ca_topic_score_gemma":0.00009063269,"teacher_disagreement_score":0.6263665,"about_ca_system_score_codex":0.000006396484,"about_ca_system_score_gemma":0.0000606685,"threshold_uncertainty_score":0.37834564},"labels":[],"label_agreement":null},{"id":"W2176351688","doi":"10.1175/jtech1948.1","title":"Remote Sensing of Ocean Waves by Polarimetric SAR","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Remote sensing; Synthetic aperture radar; Buoy; Jet propulsion; Wave radar; Polarimetry; Satellite; Geology; Wind wave; Radar; Radar imaging; Geodesy; Bistatic radar; Computer science; Physics; Optics","score_opus":0.0031630939224963567,"score_gpt":0.17610911515796338,"score_spread":0.172946021235467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176351688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98421013,0.011787208,0.0024216846,0.00045904925,0.00023279146,0.000046280984,0.0000062004838,0.00002624993,0.0008104093],"genre_scores_gemma":[0.92870426,0.0005136251,0.07047483,0.000051553387,0.00010259996,2.0132037e-11,0.0000021817646,0.0000066721564,0.00014426747],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99877924,0.000034654797,0.0005513542,0.00015271257,0.00020655866,0.00027546065],"domain_scores_gemma":[0.9990583,0.00008505118,0.00054583116,0.00013650076,0.000104053775,0.00007026963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024815538,0.00015179547,0.0003995157,0.00006109178,0.000095320065,0.000021452823,0.0001551213,0.00020099392,0.00004091393],"category_scores_gemma":[0.000063238156,0.000113251874,0.0000917066,0.0007883225,0.0002470309,0.00011186941,0.000018891158,0.00030960067,0.0000024723963],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009206254,0.000036287864,0.05392642,0.000053165037,0.00010918674,0.00019189672,0.000063857515,0.00035847735,0.002529842,0.00013860228,0.004493962,0.9380062],"study_design_scores_gemma":[0.0056881956,0.006065759,0.5572742,0.0007287429,0.00070513453,0.017702335,0.005589228,0.24569993,0.017188512,0.06927314,0.07211067,0.0019741592],"about_ca_topic_score_codex":0.0006264972,"about_ca_topic_score_gemma":0.000013876789,"teacher_disagreement_score":0.93603206,"about_ca_system_score_codex":0.000007801451,"about_ca_system_score_gemma":0.00004900865,"threshold_uncertainty_score":0.46182773},"labels":[],"label_agreement":null},{"id":"W2176878780","doi":"10.1175/jtech1701.1","title":"High Quality Oxygen Measurements from Profiling Floats: A Promising New Technique","year":2005,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ocean gyre; Optode; Hydrography; Environmental science; Profiling (computer programming); Oxygen sensor; Salinity; Remote sensing; Oxygen; Meteorology; Oceanography; Geology; Computer science; Chemistry; Physics; Optics","score_opus":0.01772119742228501,"score_gpt":0.2264522350157145,"score_spread":0.20873103759342948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176878780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98610425,0.0025477293,0.008931445,0.0010881542,0.00020556958,0.00020746083,0.000006784394,0.00006795981,0.0008406583],"genre_scores_gemma":[0.89846355,0.000110831505,0.100925356,0.00010450014,0.00028842443,4.721746e-7,0.0000026615166,0.0000050802423,0.00009910753],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99863523,0.000055156204,0.0006144278,0.00019099482,0.0002590318,0.0002451274],"domain_scores_gemma":[0.999112,0.00004123697,0.00046503922,0.0001633596,0.00008822146,0.00013011554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005223117,0.00015218818,0.00037760593,0.000021851165,0.00008625529,0.000040186118,0.000277544,0.00018484725,0.00042729112],"category_scores_gemma":[0.00009660028,0.000117189185,0.000063255524,0.0002922187,0.000048533348,0.00024373077,0.000034354187,0.0003220712,0.000013563016],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015337483,0.000044183704,0.360241,0.000030681585,0.00013360033,0.000028797318,0.00008054531,0.00014316614,0.0050146673,0.00017320574,0.00042601116,0.6335308],"study_design_scores_gemma":[0.007864328,0.003785298,0.8105372,0.0008411157,0.00042571855,0.0021922213,0.0035103008,0.009230544,0.046172805,0.061875723,0.051512327,0.0020523828],"about_ca_topic_score_codex":0.0011739995,"about_ca_topic_score_gemma":0.00054123363,"teacher_disagreement_score":0.63147837,"about_ca_system_score_codex":0.000017837601,"about_ca_system_score_gemma":0.00015861921,"threshold_uncertainty_score":0.47788364},"labels":[],"label_agreement":null},{"id":"W2177622201","doi":"10.1175/1520-0426(2002)019<1442:viocwn>2.0.co;2","title":"Variational Interpolation of Circulation with Nonlinear, Advective Smoothing*","year":2002,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drifter; Interpolation (computer graphics); Smoothing; Advection; Nonlinear system; Ocean current; Flow (mathematics); Hydrography; Applied mathematics; Mathematics; Computer science; Meteorology; Geology; Lagrangian; Physics; Classical mechanics; Geometry; Climatology; Motion (physics)","score_opus":0.009377118729025087,"score_gpt":0.1910050398663542,"score_spread":0.18162792113732912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177622201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97209686,0.0007572824,0.025064679,0.00044186003,0.00006644539,0.000057213274,0.0000034061484,0.000013610795,0.0014986262],"genre_scores_gemma":[0.95777875,0.00005302519,0.04206874,0.000042826832,0.000035223045,8.171273e-8,0.0000014349735,0.0000016809876,0.000018258157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937266,0.000026637592,0.00029106307,0.000083546845,0.00013655209,0.00008952998],"domain_scores_gemma":[0.9993256,0.00011571492,0.0003389229,0.000060415776,0.000121373465,0.00003798551],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001326067,0.000066307664,0.0001742808,0.000025195577,0.000054301225,0.000007422396,0.00008346182,0.000087520006,0.00095911254],"category_scores_gemma":[0.00008436082,0.000044242628,0.000028711993,0.00031705215,0.000101915924,0.00015059824,0.00000564047,0.00015278932,0.0000031601776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105966596,0.000067263616,0.9225981,0.000010506363,0.0000886271,0.000009522035,0.0003798214,0.016021322,0.00014784349,0.002913493,0.000029552404,0.057627957],"study_design_scores_gemma":[0.00047060434,0.00081145216,0.675819,0.0000150594,0.000033055854,0.000093541516,0.00017753895,0.3145693,0.000007917401,0.007616298,0.00031986836,0.00006637657],"about_ca_topic_score_codex":0.000010509255,"about_ca_topic_score_gemma":0.00000757776,"teacher_disagreement_score":0.29854798,"about_ca_system_score_codex":0.000004523278,"about_ca_system_score_gemma":0.000016085673,"threshold_uncertainty_score":0.99995416},"labels":[],"label_agreement":null},{"id":"W2177935267","doi":"10.1175/jtech1899.1","title":"Sources of Errors in Rainfall Measurements by Polarimetric Radar: Variability of Drop Size Distributions, Observational Noise, and Variation of Relationships between R and Polarimetric Parameters","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Radar; Polarimetry; Environmental science; Smoothing; Remote sensing; Meteorology; Noise (video); Context (archaeology); Observational error; Computer science; Statistics; Mathematics; Geology; Geography; Physics","score_opus":0.024302941335872578,"score_gpt":0.21629172288423185,"score_spread":0.19198878154835927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177935267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095464,0.0034680117,0.0051282877,0.00023854266,0.00002425171,0.0000873152,0.0000647721,0.0000052476644,0.000028923683],"genre_scores_gemma":[0.97750115,0.00012140385,0.022340104,0.000004326408,0.000008609507,1.3181045e-7,0.00001648792,0.0000021922745,0.0000055619826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983437,0.00019362455,0.0008520762,0.00014230983,0.00034291952,0.00012536063],"domain_scores_gemma":[0.9980128,0.0006830321,0.0009466119,0.00008877043,0.00022227774,0.000046537036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018118648,0.00010660662,0.0004100801,0.00011376027,0.00006745341,0.0000102754175,0.00011967629,0.00016154363,0.000022590113],"category_scores_gemma":[0.0014965142,0.00009268019,0.000050550592,0.0017547152,0.00020501226,0.00021953695,0.000014926398,0.00021138099,9.688829e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030204454,0.000048599613,0.996038,0.000029099057,0.00007761318,2.7246227e-7,0.00003907398,0.00009477152,0.0011240618,0.00013980019,0.000016540716,0.0023619619],"study_design_scores_gemma":[0.0006313589,0.00018725703,0.99216163,0.000025357014,0.00014899336,0.0000048150505,0.00014387748,0.0004531044,0.0003210669,0.005827533,0.000019880117,0.00007509876],"about_ca_topic_score_codex":0.0014239982,"about_ca_topic_score_gemma":0.00007526011,"teacher_disagreement_score":0.017211815,"about_ca_system_score_codex":0.000016730404,"about_ca_system_score_gemma":0.0000732794,"threshold_uncertainty_score":0.37793884},"labels":[],"label_agreement":null},{"id":"W2178081441","doi":"10.1175/jtech1973.1","title":"Estimation of Water Temperature of Large Lakes in Cold Climate Regions during the Period of Strong Coupling between Water and Air Temperature Fluctuations","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Buoy; Environmental science; Satellite; Coupling (piping); Climatology; Air temperature; Sea surface temperature; Temperature measurement; Atmospheric sciences; Period (music); Climate change; Meteorology; Geology; Materials science; Thermodynamics; Physics; Oceanography","score_opus":0.0030330350351770643,"score_gpt":0.20543272324146702,"score_spread":0.20239968820628995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178081441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984588,0.00019978143,0.000109703324,0.0010150905,0.000031672196,0.0001149727,0.0000026479722,0.0000061173614,0.00006121072],"genre_scores_gemma":[0.99875426,0.00022179873,0.0009362197,0.000025761936,0.000008941246,0.0000011878798,9.4652523e-7,0.0000048963707,0.00004597755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992335,0.000011818474,0.00038441372,0.00009206181,0.00009314427,0.00018505666],"domain_scores_gemma":[0.9996604,0.000029638883,0.00017900683,0.00009174765,0.000022880673,0.000016336335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041713697,0.0000837536,0.00024832314,0.000022376384,0.00013421067,0.0000031665656,0.000112385984,0.0001371277,0.000027466127],"category_scores_gemma":[0.00002295319,0.000046705867,0.00002817024,0.00015852379,0.00031198608,0.000113788046,0.0001740298,0.00022147263,3.0430277e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006663756,0.00013322587,0.8972177,0.00014950988,0.00011917138,0.000014044121,0.0018031918,0.0028389127,0.09561461,0.001529317,0.00016117441,0.0003524899],"study_design_scores_gemma":[0.0008506139,0.00026998942,0.9386947,0.00009784807,0.000096220385,0.00004006624,0.00582631,0.00032325878,0.05288551,0.0006046848,0.00020974035,0.000101046244],"about_ca_topic_score_codex":0.0000032512228,"about_ca_topic_score_gemma":0.000091682545,"teacher_disagreement_score":0.042729102,"about_ca_system_score_codex":0.000025233989,"about_ca_system_score_gemma":0.0000055602295,"threshold_uncertainty_score":0.190461},"labels":[],"label_agreement":null},{"id":"W2178305067","doi":"10.1175/1520-0426(2003)20<760:sdotcc>2.0.co;2","title":"Standard Deviation of the Copolar Correlation Coefficient for Simultaneous Transmission and Reception of Vertical and Horizontal Polarized Weather Radar Signals","year":2003,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Standard deviation; Physics; Radar; Covariance; Gaussian; Doppler effect; Polarization (electrochemistry); Covariance matrix; Correlation coefficient; Computational physics; Optics; Mathematics; Statistics; Computer science; Telecommunications","score_opus":0.006056489793385743,"score_gpt":0.2020254970965953,"score_spread":0.19596900730320957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178305067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8920695,0.0033076517,0.10423575,0.00019632683,0.00005410892,0.00011161042,0.000005141908,0.0000037768857,0.000016112706],"genre_scores_gemma":[0.9911213,0.0004343138,0.008415254,0.000010892179,0.0000067627934,1.0006492e-7,0.0000011374202,0.0000019726922,0.000008295742],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992934,0.00006531302,0.00031515668,0.000078417266,0.00016972172,0.000077998375],"domain_scores_gemma":[0.99941504,0.00015261756,0.00022605341,0.000043210806,0.00012860155,0.000034447577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004321695,0.00006508786,0.000205349,0.000018002167,0.00007772403,0.0000077542,0.000047696794,0.00009432948,0.00005224901],"category_scores_gemma":[0.0002286102,0.000041662926,0.00004422753,0.00019017795,0.00012013465,0.0000703738,0.000003044418,0.000086919346,8.914538e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014121666,0.00010550297,0.5544095,0.00013130197,0.00024690398,0.0000027255721,0.0009733013,0.0024140987,0.10267613,0.0017396762,0.00006039371,0.33582833],"study_design_scores_gemma":[0.02009591,0.017285014,0.34867623,0.0009762182,0.0027298399,0.00054658024,0.011414289,0.4552396,0.09923384,0.031962175,0.010765397,0.0010748963],"about_ca_topic_score_codex":0.000006363402,"about_ca_topic_score_gemma":0.000008145306,"teacher_disagreement_score":0.4528255,"about_ca_system_score_codex":0.00000671147,"about_ca_system_score_gemma":0.000041325402,"threshold_uncertainty_score":0.16989648},"labels":[],"label_agreement":null},{"id":"W2178384119","doi":"10.1175/1520-0426(2001)018<1184:oloabr>2.0.co;2","title":"Optimal Layout of a Bistatic Radar Network","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bistatic radar; Computer science; Passive radar; Remote sensing; Radar; Maximization; Rule of thumb; Doppler effect; Antenna (radio); Algorithm; Telecommunications; Geology; Radar imaging; Mathematical optimization; Mathematics; Physics","score_opus":0.008607379232732,"score_gpt":0.20191722006942722,"score_spread":0.19330984083669522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178384119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984725,0.007980518,0.006050687,0.0005113793,0.000112292764,0.000031974203,0.0000016575599,0.000014287502,0.00057219685],"genre_scores_gemma":[0.96488327,0.0010003836,0.033918828,0.000053391745,0.00005394912,4.847164e-8,9.964606e-7,0.0000020327882,0.000087131564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918664,0.000029589348,0.00036806334,0.00007958949,0.00017499317,0.00016111707],"domain_scores_gemma":[0.9993585,0.00005252355,0.00036199472,0.000078908386,0.000092768285,0.000055348046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003151609,0.000078502744,0.00026422442,0.000022112534,0.00005399672,0.000010362474,0.00016419399,0.00007121725,0.00051866204],"category_scores_gemma":[0.000057454927,0.00005836011,0.000066350454,0.00057749846,0.000109035565,0.000106387684,0.000008061753,0.00013631528,0.000005220156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009811882,0.000024763407,0.9068717,0.000012790516,0.00015221207,0.000054383643,0.000099155164,0.005237581,0.000070809576,0.00022350064,0.0008896591,0.08626535],"study_design_scores_gemma":[0.0031239495,0.0031665706,0.8770667,0.00022813531,0.00066798466,0.0013165985,0.0043536606,0.060275745,0.00019949969,0.013464797,0.035548642,0.00058772415],"about_ca_topic_score_codex":0.000019253715,"about_ca_topic_score_gemma":0.000029001701,"teacher_disagreement_score":0.085677624,"about_ca_system_score_codex":0.000003157108,"about_ca_system_score_gemma":0.000042894808,"threshold_uncertainty_score":0.5678986},"labels":[],"label_agreement":null},{"id":"W2179147228","doi":"10.1175/jtech1993.1","title":"Validation and Development of Melting Layer Models Using Constraints by Active/Passive Microwave Observations of Rain and the Wind-Roughened Ocean Surface","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Emissivity; Radar; Radiometer; Environmental science; Remote sensing; Brightness temperature; Precipitation; Wind speed; Sea surface temperature; Meteorology; Brightness; Geology; Optics; Physics; Computer science","score_opus":0.03153139029252002,"score_gpt":0.23229208700227552,"score_spread":0.2007606967097555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179147228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97283596,0.0015584311,0.02525508,0.00021301856,0.000023993494,0.000067375986,0.000004515841,0.000004053519,0.000037573704],"genre_scores_gemma":[0.94517374,0.00020765576,0.054580253,0.000021785747,0.000006607945,1.2552404e-8,0.000002258052,0.0000019476765,0.000005767659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913836,0.000045765726,0.00045693316,0.00009080457,0.00015516029,0.000113005524],"domain_scores_gemma":[0.9989512,0.00018024309,0.00061695604,0.00004830831,0.00016757427,0.000035746933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078577327,0.00008207007,0.00024776344,0.000014851977,0.00012140357,0.000011445084,0.00008150595,0.00007612637,0.000015789594],"category_scores_gemma":[0.00007903526,0.000056851615,0.000026490075,0.00024717816,0.00035807642,0.00018748785,0.000014388727,0.00011212987,4.778144e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005089051,0.00007404217,0.5913193,0.00008661536,0.00088805234,0.0000062760064,0.006633245,0.0095906425,0.14114651,0.0011579135,0.000076876,0.2485116],"study_design_scores_gemma":[0.01229119,0.0006889589,0.48085776,0.000525003,0.0010242917,0.0003724356,0.0684094,0.17826538,0.23400651,0.022330675,0.0003160313,0.0009123739],"about_ca_topic_score_codex":0.0000176278,"about_ca_topic_score_gemma":0.000014694487,"teacher_disagreement_score":0.24759923,"about_ca_system_score_codex":0.000007042083,"about_ca_system_score_gemma":0.00006984773,"threshold_uncertainty_score":0.23183416},"labels":[],"label_agreement":null},{"id":"W2179667063","doi":"10.1175/jtech1882.1","title":"Satellite Measurement of Stratospheric Winds and Ozone Using Doppler Michelson Interferometry. Part II: Retrieval Method and Expected Performance","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Environment and Climate Change Canada","funders":"","keywords":"Remote sensing; Atmospheric sounding; Interferometry; Environmental science; Doppler effect; Stratosphere; Meteorology; Covariance; Michelson interferometer; Inversion (geology); Satellite; Optimal estimation; Physics; Geology; Optics; Computer science; Mathematics","score_opus":0.013057944941381967,"score_gpt":0.2178480835016649,"score_spread":0.20479013856028294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179667063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721571,0.024806619,0.0024459325,0.00013463697,0.00013716795,0.000095024836,0.000003703097,0.000025139849,0.00019466497],"genre_scores_gemma":[0.9459884,0.0035343994,0.050329473,0.000028853847,0.00006874857,1.2329296e-7,0.0000010472422,0.00000871992,0.000040227344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983147,0.000058858168,0.0007139166,0.00025275713,0.00033211993,0.0003276858],"domain_scores_gemma":[0.99891424,0.00005203243,0.00061095844,0.00014684675,0.00017566017,0.00010023722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006212971,0.00023090423,0.00056409894,0.000017400269,0.00015738707,0.000030397512,0.00015646854,0.00021687704,0.00019728344],"category_scores_gemma":[0.00004093874,0.00018065848,0.00005222298,0.00071540195,0.00028037876,0.0002539727,0.000051423252,0.00031457242,7.1306795e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000526518,0.00010310862,0.81941056,0.00014707254,0.00020139877,0.00004388842,0.00028633352,0.00035690583,0.00851707,0.00010564761,0.000112434114,0.17018904],"study_design_scores_gemma":[0.002955265,0.0051908395,0.9506716,0.0003721581,0.0004341828,0.0033752432,0.0028052658,0.020383537,0.007414716,0.0019996106,0.0036904602,0.00070710253],"about_ca_topic_score_codex":0.00009533118,"about_ca_topic_score_gemma":0.000027723334,"teacher_disagreement_score":0.16948193,"about_ca_system_score_codex":0.000017562521,"about_ca_system_score_gemma":0.00007245714,"threshold_uncertainty_score":0.7367039},"labels":[],"label_agreement":null},{"id":"W2180073396","doi":"10.1175/jtech1850.1","title":"Solar Irradiance and Effective Brightness Temperature for SWIR Channels of AVHRR/NOAA and GOES Imagers","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Solar irradiance; Irradiance; Remote sensing; Environmental science; Radiometer; Shortwave; Radiance; Satellite; Brightness temperature; Advanced very-high-resolution radiometer; Brightness; Geostationary orbit; Physics; Atmospheric sciences; Radiative transfer; Optics; Astronomy; Geology","score_opus":0.0020678936519894268,"score_gpt":0.17833734422706837,"score_spread":0.17626945057507895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180073396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769165,0.008080559,0.014041112,0.00035575207,0.00018270679,0.0002488839,0.0000044206495,0.00010600929,0.00006407158],"genre_scores_gemma":[0.9909475,0.00086642575,0.008026887,0.000027425262,0.000062773695,0.000006169137,4.0548647e-7,0.00001630698,0.000046130674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945855,0.000009381283,0.00024330094,0.00009611954,0.0000652627,0.00012735522],"domain_scores_gemma":[0.99966735,0.000036480968,0.000111478046,0.00006604987,0.00008238649,0.000036246995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013738804,0.00011858489,0.0002820455,0.000023922794,0.000040948376,0.000020587844,0.000061380146,0.00016998833,0.000002953856],"category_scores_gemma":[0.00002496531,0.0000980015,0.00003575578,0.0001450793,0.00012241374,0.00014166896,0.000014504758,0.00016610336,5.585793e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002166275,0.00012403303,0.012937308,0.00097485847,0.00033436297,0.000045652363,0.00042286277,0.0003476752,0.8940412,0.010443544,0.012989987,0.0671219],"study_design_scores_gemma":[0.0059124962,0.0023073126,0.055264894,0.0006995834,0.00030779903,0.0015017313,0.00095612725,0.010625777,0.8536372,0.030312862,0.03752275,0.00095147477],"about_ca_topic_score_codex":0.0000025901843,"about_ca_topic_score_gemma":0.0000029974556,"teacher_disagreement_score":0.066170424,"about_ca_system_score_codex":0.000022578584,"about_ca_system_score_gemma":0.000013188198,"threshold_uncertainty_score":0.39963853},"labels":[],"label_agreement":null},{"id":"W2180100829","doi":"10.1175/1520-0426(2001)018<1429:rhsold>2.0.co;2","title":"Range–Height Scans of Lidar Depolarization for Characterizing Properties and Phase of Clouds and Precipitation","year":2001,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Lidar; Precipitation; Backscatter (email); Elevation (ballistics); Snow; Scattering; Depolarization; Phase (matter); Ranging; Optics; Materials science; Remote sensing; Range (aeronautics); Environmental science; Geology; Physics; Meteorology; Geodesy","score_opus":0.012789074575973947,"score_gpt":0.22830020749042237,"score_spread":0.21551113291444843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180100829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824924,0.0019917632,0.014887566,0.00036119696,0.000049177954,0.00016082429,0.0000018851672,0.000009315484,0.00004590171],"genre_scores_gemma":[0.98285455,0.0015928425,0.015438146,0.000030542866,0.000022209386,0.0000024049125,3.7475615e-7,0.000010524722,0.00004842715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992223,0.000016529268,0.00039488793,0.00012572709,0.000110247725,0.00013031016],"domain_scores_gemma":[0.9993283,0.000026419042,0.00048268834,0.00007668341,0.00003957227,0.000046320165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017029351,0.00010303587,0.0002795435,0.0000021901803,0.00006748671,0.000008710697,0.0000869463,0.00012122482,0.000029046858],"category_scores_gemma":[0.000051499403,0.0000789842,0.00003153113,0.00020360219,0.00033650783,0.00018713827,0.00006167344,0.00008985689,1.518997e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005741249,0.00023671435,0.4984609,0.000115840034,0.00007911208,0.0000065573618,0.0013775422,0.000029041961,0.30915037,0.00049250276,0.000059595783,0.1894177],"study_design_scores_gemma":[0.016199177,0.014509727,0.80827856,0.00067043834,0.0008371416,0.0018804405,0.0092321895,0.03053571,0.09856019,0.0075534265,0.010691754,0.0010512377],"about_ca_topic_score_codex":0.000012383302,"about_ca_topic_score_gemma":0.000003270205,"teacher_disagreement_score":0.30981767,"about_ca_system_score_codex":0.000021736296,"about_ca_system_score_gemma":0.00001509055,"threshold_uncertainty_score":0.3220882},"labels":[],"label_agreement":null},{"id":"W2180554877","doi":"10.1175/jtech1693.1","title":"A Statistical Method for Correcting Salinity Observations from Autonomous Profiling Floats: An ARGO Perspective","year":2005,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Argo; Geostrophic wind; Float (project management); Meteorology; Temperature salinity diagrams; Satellite; Computer science; Geodesy; Neutral buoyancy; Remote sensing; Environmental science; Salinity; Geology; Climatology; Marine engineering; Oceanography; Geography","score_opus":0.017290061573281893,"score_gpt":0.2732409553297917,"score_spread":0.2559508937565098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180554877","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6654601,0.0028824634,0.33016932,0.000888788,0.00022379147,0.00013965453,0.000055914614,0.00007704126,0.00010292755],"genre_scores_gemma":[0.49463284,0.00010029203,0.5048881,0.00015855394,0.00019412888,6.3409436e-7,0.0000066775615,0.000005364122,0.000013415065],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868655,0.000058101916,0.0005119587,0.0002799395,0.00015510726,0.00030831536],"domain_scores_gemma":[0.99844605,0.0005494737,0.00042195086,0.00013344882,0.00030194578,0.00014712608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044863208,0.00017943323,0.00040191834,0.00001385866,0.00025286476,0.000053279826,0.00027228484,0.00018982621,0.00016523481],"category_scores_gemma":[0.00054867513,0.0001448837,0.00007122018,0.0004532655,0.00016350258,0.0004136036,0.000017202865,0.0003868037,0.000002391745],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003238869,0.00019220012,0.49445495,0.00003331855,0.0002563002,0.000032068438,0.0010703519,0.0021010889,0.00017272134,0.007496725,0.00036627537,0.4935001],"study_design_scores_gemma":[0.00290008,0.003817937,0.35683534,0.000114271665,0.000503162,0.0008388295,0.03751873,0.45008942,0.00087006553,0.13726033,0.008376722,0.0008751334],"about_ca_topic_score_codex":0.00020597907,"about_ca_topic_score_gemma":0.00019661171,"teacher_disagreement_score":0.49262497,"about_ca_system_score_codex":0.000022575721,"about_ca_system_score_gemma":0.00023287677,"threshold_uncertainty_score":0.5908185},"labels":[],"label_agreement":null},{"id":"W2180675486","doi":"10.1175/jtech1753.1","title":"Measurement of Wind Waves and Wave-Coherent Air Pressures on the Open Sea from a Moving SWATH Vessel","year":2005,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"","keywords":"Geology; Meteorology; Hull; Wind wave; Waterline; Marine engineering; Wind speed; Environmental science; Oceanography; Physics; Engineering","score_opus":0.014743249490506776,"score_gpt":0.2023702376742029,"score_spread":0.1876269881836961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180675486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872756,0.00827336,0.00005609863,0.0033691453,0.000113239854,0.00013551024,0.0000058378414,0.000009571949,0.00076166313],"genre_scores_gemma":[0.9930771,0.00077269186,0.0058012875,0.00019913081,0.000104078004,7.3177566e-9,4.2740697e-7,0.0000049052196,0.000040368413],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989577,0.00005556688,0.00036125502,0.0001627064,0.00027183336,0.00019092426],"domain_scores_gemma":[0.9992306,0.00009550545,0.0003620215,0.00016033593,0.00008071597,0.00007082363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004307346,0.00013908347,0.00031891957,0.000014750672,0.00013557526,0.00004451086,0.00028395245,0.00011093893,0.0000954452],"category_scores_gemma":[0.00007086019,0.0000774494,0.000045545043,0.00014295106,0.0001918371,0.00014104995,0.00006530089,0.0002879265,0.0000013891986],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040661794,0.0001481383,0.07089892,0.000052901116,0.0005391485,0.00008449038,0.00097188936,0.0027415648,0.0016847029,0.00066876056,0.0023241849,0.91947865],"study_design_scores_gemma":[0.0021743532,0.0022329693,0.88551646,0.0008386172,0.00026677275,0.00055058673,0.0045760246,0.06300185,0.0052531143,0.0075164186,0.027603677,0.00046912848],"about_ca_topic_score_codex":0.00016379595,"about_ca_topic_score_gemma":0.000068032845,"teacher_disagreement_score":0.91900957,"about_ca_system_score_codex":0.000008345314,"about_ca_system_score_gemma":0.000059906783,"threshold_uncertainty_score":0.3158295},"labels":[],"label_agreement":null},{"id":"W2180843426","doi":"10.1175/jtech1974.1","title":"A Gas Tension Device with Response Times of Minutes","year":2006,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Seawater; Surface tension; Volume (thermodynamics); Materials science; Hydrostatic pressure; Polydimethylsiloxane; Pressure sensor; Membrane; Response time; Body orifice; Analytical Chemistry (journal); Composite material; Geology; Chemistry; Chromatography; Mechanics; Oceanography; Mechanical engineering","score_opus":0.0035997687973182623,"score_gpt":0.17556098436790085,"score_spread":0.17196121557058258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180843426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98524326,0.012430579,0.00070854253,0.00094622944,0.000056870267,0.000055442255,0.0000029480846,0.00003245204,0.00052370015],"genre_scores_gemma":[0.96689653,0.00045619078,0.032385036,0.00006329472,0.000040937975,9.678861e-8,8.1544397e-7,0.0000051302636,0.00015197405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989683,0.000038345963,0.00041260236,0.00014770684,0.00021206669,0.00022099685],"domain_scores_gemma":[0.9989575,0.00017562862,0.0004903102,0.00012617807,0.00019105613,0.000059284077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029317848,0.00015047284,0.00036433784,0.000019494872,0.00007701563,0.000015080689,0.00021507066,0.000133174,0.00020689575],"category_scores_gemma":[0.00007223376,0.00009533582,0.00005346337,0.000830871,0.00036403854,0.00017445776,0.000014868841,0.00019200263,0.0000027888063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016925164,0.00008851114,0.93794173,0.00006540014,0.00009083347,0.0002144718,0.00006391542,0.0003518159,0.0007916597,0.00036343304,0.0018387774,0.056496914],"study_design_scores_gemma":[0.0026007793,0.006759131,0.93742657,0.00040215955,0.00027073108,0.004218553,0.0029540914,0.003908324,0.0033512313,0.016483545,0.021073332,0.00055158295],"about_ca_topic_score_codex":0.00007430891,"about_ca_topic_score_gemma":0.000043264856,"teacher_disagreement_score":0.055945333,"about_ca_system_score_codex":0.0000032564442,"about_ca_system_score_gemma":0.0001284817,"threshold_uncertainty_score":0.3887682},"labels":[],"label_agreement":null},{"id":"W2181244962","doi":"10.1175/jtech1956.1","title":"Sampling Errors in the Measurement of Rainfall Parameters Using the Precipitation Occurrence Sensor System (POSS)","year":2007,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Disdrometer; Precipitation; Environmental science; Radar; Sampling (signal processing); Quantitative precipitation estimation; Monte Carlo method; Meteorology; Statistics; Remote sensing; Computer science; Mathematics; Geology; Rain gauge","score_opus":0.03973956952897922,"score_gpt":0.25462099014637923,"score_spread":0.2148814206174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181244962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98227555,0.0015677891,0.015560423,0.0002718507,0.00013935748,0.00010413901,0.0000023868688,0.00000777831,0.00007075209],"genre_scores_gemma":[0.9870389,0.00006843176,0.012827773,0.000041529252,0.000020565423,1.331125e-7,5.1592764e-7,0.0000013805723,7.8639187e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986585,0.00009223429,0.00053578406,0.00009645677,0.0004423575,0.00017466814],"domain_scores_gemma":[0.9989274,0.00020550763,0.0005440863,0.000113283444,0.00018180828,0.00002788823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032866355,0.00009010416,0.00020499821,0.000042873657,0.00009968646,0.000020137528,0.00026762125,0.00006927354,0.000010793453],"category_scores_gemma":[0.00019872938,0.000049193433,0.00006600141,0.0006780611,0.00012348844,0.00010857368,0.000007016282,0.00021579608,6.8817917e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002333602,0.000052897685,0.8605231,0.00009528766,0.00020947577,0.000027135002,0.0042668898,0.029684868,0.0017369098,0.00030447607,0.00005396722,0.10281163],"study_design_scores_gemma":[0.0015202429,0.00082228624,0.8331573,0.00051369646,0.0004567918,0.00040142957,0.09406624,0.065466315,0.0008986782,0.0015678189,0.0007700623,0.00035913297],"about_ca_topic_score_codex":0.000055066892,"about_ca_topic_score_gemma":0.00019201974,"teacher_disagreement_score":0.102452494,"about_ca_system_score_codex":0.00002160311,"about_ca_system_score_gemma":0.000052358046,"threshold_uncertainty_score":0.200605},"labels":[],"label_agreement":null},{"id":"W2194103896","doi":"10.1175/jtech-d-15-0153.1","title":"Overview of Bering and Chukchi Sea Wave States for Four Severe Storms following Common Synoptic Tracks","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Storm; Significant wave height; Climatology; Buoy; Sea state; Meteorology; Wind wave; Environmental science; Wind wave model; Arctic; Storm surge; Storm track; Wave model; Severe weather; Winter storm; Geology; Oceanography; Geography","score_opus":0.0285662903786514,"score_gpt":0.23653872527629527,"score_spread":0.20797243489764386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2194103896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841212,0.014585688,0.00036936995,0.00042640805,0.0002637647,0.00010270303,0.000006515197,0.000016778074,0.00010758605],"genre_scores_gemma":[0.9777924,0.0012894557,0.020765226,0.000054351796,0.000052873544,8.210501e-9,0.0000017993249,0.000006989349,0.00003693411],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906534,0.000022127013,0.00039707482,0.00013190118,0.00014966441,0.00023388446],"domain_scores_gemma":[0.99926776,0.00010047528,0.00033248877,0.00009724991,0.00007362351,0.00012842976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003733154,0.0001374765,0.00045084668,0.000022405968,0.00007896168,0.000023659939,0.00010524877,0.00013901494,0.000009008369],"category_scores_gemma":[0.00006383251,0.00009728651,0.00008990003,0.00018700225,0.00011084043,0.00016867214,0.000023330607,0.00020799549,4.4134703e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031899114,0.000054853506,0.29298556,0.00042184687,0.00046293353,0.00033150738,0.0011335847,0.0021420165,0.00012082798,0.00023596924,0.0006426909,0.7011492],"study_design_scores_gemma":[0.009937059,0.010872143,0.28855193,0.0017625957,0.0010357795,0.014066897,0.025183875,0.5764459,0.00052951864,0.055058636,0.015070039,0.0014856601],"about_ca_topic_score_codex":0.00005442293,"about_ca_topic_score_gemma":0.00003989598,"teacher_disagreement_score":0.6996636,"about_ca_system_score_codex":0.000009210845,"about_ca_system_score_gemma":0.00005766423,"threshold_uncertainty_score":0.39672285},"labels":[],"label_agreement":null},{"id":"W2229417235","doi":"10.1175/jtech-d-15-0166.1","title":"Sensor-Specific Error Statistics for SST in the Advanced Clear-Sky Processor for Oceans","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Daytime; Climatology; Residual; Regression; Meteorology; Mean squared error; Statistics; Computer science; Atmospheric sciences; Mathematics; Algorithm; Geography","score_opus":0.018466786273024366,"score_gpt":0.2441086459686453,"score_spread":0.22564185969562092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2229417235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8914474,0.001798676,0.10151879,0.0043658586,0.00018056274,0.00044159568,0.00010174724,0.000020245023,0.00012512639],"genre_scores_gemma":[0.93073833,0.0004082101,0.06848723,0.0001946663,0.00006694694,0.0000021072556,0.0000022652575,0.0000040458813,0.00009620911],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908423,0.0000310314,0.00037935414,0.00014316532,0.000108242406,0.00025400022],"domain_scores_gemma":[0.99862295,0.00087463256,0.00023734246,0.000105191575,0.000112730966,0.000047167105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040015872,0.00010401922,0.00023910265,0.000016552673,0.000118381744,0.00001711922,0.000243295,0.00010793446,0.00011538718],"category_scores_gemma":[0.00031747372,0.000050061077,0.00004698414,0.00022223979,0.00015213776,0.00010541915,0.0000064645938,0.0001251718,0.0000031698341],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015968701,0.00012901919,0.08635407,0.00006608373,0.00006435208,0.000033230706,0.00044555898,0.0019643477,0.00039447795,0.023824047,0.003838204,0.8812897],"study_design_scores_gemma":[0.00813755,0.009842557,0.3161389,0.00009548445,0.000107911066,0.0002961566,0.0053766123,0.014551107,0.000064550106,0.3397821,0.30503353,0.00057355413],"about_ca_topic_score_codex":0.0000011511569,"about_ca_topic_score_gemma":0.000019197067,"teacher_disagreement_score":0.8807162,"about_ca_system_score_codex":0.0000067024384,"about_ca_system_score_gemma":0.00003576045,"threshold_uncertainty_score":0.20414315},"labels":[],"label_agreement":null},{"id":"W2235340441","doi":"10.1175/jtech-d-15-0093.1","title":"Assimilating Retrievals of Sea Surface Temperature from VIIRS and AMSR2","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Visible Infrared Imaging Radiometer Suite; Satellite; Radiometer; Advanced very-high-resolution radiometer; Remote sensing; Sea surface temperature; Data assimilation; On board; Meteorology; Climatology; Geology; Geography","score_opus":0.005924174791758459,"score_gpt":0.2061912798396869,"score_spread":0.20026710504792844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235340441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99693483,0.00061700476,0.00050190423,0.0016422438,0.00006397896,0.000051347924,0.000009183453,0.000015946496,0.00016355234],"genre_scores_gemma":[0.98366064,0.000777214,0.01542806,0.000053358355,0.000016124017,1.396244e-7,1.2796295e-7,0.000007606869,0.00005674731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914604,0.000030193907,0.00035537506,0.00016610423,0.00014959033,0.00015269287],"domain_scores_gemma":[0.9992834,0.00016387217,0.00031407404,0.00015181664,0.000023428278,0.000063429434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000322007,0.00010203406,0.00028180488,0.0000046037503,0.000052386808,0.000008294086,0.00014775344,0.00021265968,0.00032194404],"category_scores_gemma":[0.000190777,0.0000634938,0.000037410984,0.00020252654,0.0003508338,0.00016259035,0.00016053178,0.00017676558,0.0000021664648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009805471,0.00006425561,0.60450697,0.00001333727,0.0000494389,0.000020600623,0.00019599858,0.0000956787,0.36762598,0.00025840616,0.0006014043,0.026469888],"study_design_scores_gemma":[0.0073963427,0.0030549963,0.77235335,0.00092978106,0.00039155435,0.0010720107,0.0030006533,0.006380136,0.111101314,0.08205265,0.011102463,0.0011647422],"about_ca_topic_score_codex":0.000024231194,"about_ca_topic_score_gemma":0.000005831395,"teacher_disagreement_score":0.25652465,"about_ca_system_score_codex":0.00005023696,"about_ca_system_score_gemma":0.000015694213,"threshold_uncertainty_score":0.35250613},"labels":[],"label_agreement":null},{"id":"W2237585666","doi":"10.1175/jtech-d-14-00188.1","title":"Data Assimilation for Bathymetry Estimation at a Tidal Inlet","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"International Association of Sedimentologists","keywords":"Bathymetry; Data assimilation; Inlet; Geology; Remote sensing; Radar; Synthetic aperture radar; Ocean current; Current (fluid); Meteorology; Geodesy; Oceanography; Computer science; Geography","score_opus":0.015505618361228187,"score_gpt":0.23269802629754643,"score_spread":0.21719240793631825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237585666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95855474,0.001329264,0.037000194,0.002540137,0.00031864652,0.000077995945,0.00003937814,0.000024254994,0.00011537247],"genre_scores_gemma":[0.9127219,0.0002885466,0.08667158,0.00006477316,0.000111608984,3.259279e-9,0.000008081268,0.0000038247626,0.00012968226],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930733,0.000014446966,0.00027465099,0.00014021296,0.00010625847,0.00015710964],"domain_scores_gemma":[0.9992949,0.0001399292,0.0002857727,0.00017127684,0.000054592823,0.000053558513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026428208,0.000082309445,0.00017129544,0.000018798168,0.000099778976,0.000014998794,0.00019012507,0.00012616233,0.00008637419],"category_scores_gemma":[0.0001836103,0.000046982328,0.000030313251,0.00015635771,0.0000991202,0.0002505826,0.000035752488,0.000079326936,0.0000062005115],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008677691,0.0000065923855,0.028847715,0.000011866815,0.00003106275,0.000011426653,0.000025498728,0.00010369219,0.0002221823,0.00006745124,0.0017846564,0.9688011],"study_design_scores_gemma":[0.0031324427,0.0018614383,0.29520285,0.00024746827,0.00018166816,0.0024889961,0.00040597576,0.59690714,0.00071529817,0.013746999,0.08466158,0.0004481735],"about_ca_topic_score_codex":0.0000025284526,"about_ca_topic_score_gemma":0.000016881706,"teacher_disagreement_score":0.9683529,"about_ca_system_score_codex":0.000010373107,"about_ca_system_score_gemma":0.000038023452,"threshold_uncertainty_score":0.19158839},"labels":[],"label_agreement":null},{"id":"W2288150939","doi":"10.1175/jtech-d-15-0167.1","title":"Rates of Dissipation of Turbulent Kinetic Energy in a High Reynolds Number Tidal Channel","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Dissipation; Turbulence; Acoustic Doppler current profiler; Turbulence kinetic energy; Reynolds number; Kinetic energy; Buoy; Mechanics; Channel (broadcasting); Meteorology; Geology; Physics; Environmental science; Atmospheric sciences; Current (fluid); Oceanography; Classical mechanics; Thermodynamics","score_opus":0.004990142040164927,"score_gpt":0.1996150627655019,"score_spread":0.19462492072533696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288150939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935187,0.0030810467,0.0023467485,0.00076469657,0.000110269,0.000036991314,0.0000044311214,0.00001130753,0.00012581213],"genre_scores_gemma":[0.9938857,0.003007459,0.002976338,0.000029728219,0.000034153374,2.5249452e-7,7.8132285e-7,0.000004446528,0.00006112437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988592,0.00003077179,0.0005902699,0.00013885167,0.00017916759,0.00020172076],"domain_scores_gemma":[0.9990116,0.00010181461,0.00059314416,0.000114970855,0.00012149211,0.0000569833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017219265,0.00013064998,0.00039991667,0.000020330619,0.000023201901,0.000004819395,0.00021964942,0.00016098835,0.00028407184],"category_scores_gemma":[0.00007309548,0.00007890802,0.00005822992,0.0006757914,0.0002802101,0.00016402545,0.000017644828,0.00010424952,0.0000012868508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001804825,0.000087294335,0.8825829,0.000058223235,0.00005383591,0.000034315373,0.00008291209,0.000096458905,0.00044712084,0.0014334298,0.00016503813,0.114778005],"study_design_scores_gemma":[0.0019648254,0.0015141874,0.9572898,0.00044084399,0.000059388993,0.00037408035,0.0006224657,0.0010741658,0.005650116,0.029674945,0.0010832741,0.00025192017],"about_ca_topic_score_codex":0.0001647368,"about_ca_topic_score_gemma":0.00005085114,"teacher_disagreement_score":0.114526086,"about_ca_system_score_codex":0.0000053457184,"about_ca_system_score_gemma":0.0000690664,"threshold_uncertainty_score":0.32177758},"labels":[],"label_agreement":null},{"id":"W2290436039","doi":"10.1175/jtech-d-15-0143.1","title":"Experimental Assessment of the Performance of High-Frequency CODAR and WERA Radars to Measure Ocean Currents in Partially Ice-Covered Waters","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Geology; Fetch; Radar; Shore; Wind wave; Sea ice; Environmental science; Oceanography; Remote sensing","score_opus":0.005289102686218197,"score_gpt":0.20531345915483643,"score_spread":0.20002435646861821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290436039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99803555,0.00039255808,0.00029288442,0.00091722724,0.00021837851,0.00009765892,0.000010066929,0.000004474296,0.000031224834],"genre_scores_gemma":[0.9947398,0.00041099833,0.0047767847,0.00004243253,0.00001465176,1.3074032e-7,3.3013293e-7,0.0000031788677,0.000011693458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901485,0.0000374613,0.00041868692,0.0001201407,0.00022440567,0.00018445624],"domain_scores_gemma":[0.9994036,0.00004622963,0.0003132019,0.000121761026,0.000056760582,0.000058429217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544366,0.000108482665,0.00028409966,0.000021189217,0.000050270977,0.0000052978553,0.00024165095,0.000081420854,0.00005535126],"category_scores_gemma":[0.000033464756,0.000057930258,0.000037510865,0.0002222377,0.00024922227,0.00015059978,0.000041358908,0.00015245336,4.722102e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007267338,0.00003725862,0.97522146,0.00001950443,0.000028311657,0.0000049840914,0.00013332334,0.00009298035,0.001972621,0.00016733713,0.000023335735,0.02222619],"study_design_scores_gemma":[0.0012580646,0.0011378989,0.99244463,0.00025977966,0.000028165541,0.00012759103,0.00078193896,0.0009439554,0.0023974848,0.0003878422,0.00011638751,0.00011628125],"about_ca_topic_score_codex":0.000056169305,"about_ca_topic_score_gemma":0.000016301432,"teacher_disagreement_score":0.022109909,"about_ca_system_score_codex":0.000018733652,"about_ca_system_score_gemma":0.00011688585,"threshold_uncertainty_score":0.23623273},"labels":[],"label_agreement":null},{"id":"W2292955931","doi":"10.1175/jtech-d-15-0193.1","title":"A Novel Near-Real-Time Quality-Control Procedure for Radiometric Profiles Measured by Bio-Argo Floats: Protocols and Performances","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Remote sensing; Environmental science; Radiometric dating; Radiometry; Argo; Data quality; Meteorology; Irradiance; Computer science; Optics; Geology; Engineering; Geography; Metric (unit)","score_opus":0.009190950799715901,"score_gpt":0.22517018450403167,"score_spread":0.21597923370431577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292955931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98801684,0.0023824791,0.0037922699,0.001875742,0.00010937674,0.0034227069,0.000094562536,0.00006881698,0.00023718321],"genre_scores_gemma":[0.9928662,0.0003785518,0.0060703414,0.00007002951,0.00011477773,0.00007776548,0.0000022248128,0.000009285612,0.00041078206],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986132,0.000034338034,0.00056696,0.00022956231,0.00022360052,0.0003323723],"domain_scores_gemma":[0.9988567,0.00018932628,0.00053715945,0.00012675996,0.00016011312,0.00012994165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069892453,0.00018892632,0.00050848967,0.00004571553,0.00016388662,0.000065437685,0.00024589707,0.00019624697,0.000111358946],"category_scores_gemma":[0.0002738304,0.000107870415,0.00006976666,0.00055750075,0.00018327442,0.00030936557,0.000018949711,0.00013575208,0.0000051771885],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008951919,0.00010876183,0.4672597,0.00038566336,0.00021369473,0.000007533744,0.000076423144,0.0000071187687,0.011783633,0.00016044639,0.004155567,0.5149462],"study_design_scores_gemma":[0.037099943,0.02442136,0.63814116,0.0016443952,0.00049329834,0.0051032277,0.0021491118,0.039827906,0.0045535336,0.0050141714,0.23899777,0.0025541096],"about_ca_topic_score_codex":0.0000744025,"about_ca_topic_score_gemma":0.00003872026,"teacher_disagreement_score":0.51239216,"about_ca_system_score_codex":0.000010311197,"about_ca_system_score_gemma":0.00015387188,"threshold_uncertainty_score":0.43988279},"labels":[],"label_agreement":null},{"id":"W2294736699","doi":"10.1175/jtech-d-15-0224.1","title":"Improving Radar Refractivity Retrieval by Considering the Change in the Refractivity Profile and the Varying Altitudes of Ground Targets","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Remote sensing; Radar; Environmental science; Meteorology; Geology; Geodesy; Computer science; Physics; Geography","score_opus":0.015206420371635615,"score_gpt":0.22547037301758452,"score_spread":0.2102639526459489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294736699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863182,0.0065178317,0.00065246975,0.006065755,0.00007100563,0.00019967441,0.0000060498937,0.000007527923,0.00016151539],"genre_scores_gemma":[0.9979446,0.0007575423,0.0010420722,0.00020067087,0.000043244214,6.7635364e-7,2.6140063e-7,0.0000021189828,0.000008793834],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990017,0.00022839679,0.0003030838,0.00012333503,0.00016377166,0.0001797048],"domain_scores_gemma":[0.9977477,0.0016172987,0.0004168711,0.00014638824,0.000043616325,0.00002812912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153377,0.0000963868,0.0002588332,0.000010715815,0.00020249715,0.000022911127,0.00022734301,0.00009436046,0.00007614908],"category_scores_gemma":[0.00063918036,0.00003433043,0.00003366193,0.00027429961,0.0005556883,0.00026728984,0.000036463978,0.00033388406,5.6498686e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016812335,0.00013273928,0.39617902,0.000059343547,0.00016247532,0.000056187157,0.0020438342,0.00004064463,0.009763223,0.0039709634,0.00016835063,0.585742],"study_design_scores_gemma":[0.0044519673,0.0014864756,0.93898004,0.00009578692,0.00013583567,0.0005490675,0.0022281997,0.00885159,0.0007050246,0.0382302,0.003980269,0.00030555105],"about_ca_topic_score_codex":0.00025389265,"about_ca_topic_score_gemma":0.00004915791,"teacher_disagreement_score":0.58543646,"about_ca_system_score_codex":0.0000069425623,"about_ca_system_score_gemma":0.000029166556,"threshold_uncertainty_score":0.20474567},"labels":[],"label_agreement":null},{"id":"W2337555953","doi":"10.1175/jtech-d-15-0027.1","title":"Creation and Validation of a Comprehensive 1° by 1° Daily Gridded North American Dataset for 1900–2009: Snowfall","year":2015,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Snow; Environmental science; Climatology; National weather service; Meteorology; Interpolation (computer graphics); Data set; Grid; Geography; Geology; Computer science","score_opus":0.014890237699005226,"score_gpt":0.2491069843651821,"score_spread":0.2342167466661769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337555953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99160975,0.00019419866,0.007310455,0.00052670884,0.000033838973,0.00013405278,0.00016209311,0.000008615506,0.000020298932],"genre_scores_gemma":[0.98415595,0.0002846318,0.01537973,0.00009588784,0.000011990963,0.0000020835084,0.00005308795,0.000006443191,0.000010188114],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992781,0.000024177889,0.00031193523,0.00014080363,0.00012184743,0.00012309948],"domain_scores_gemma":[0.9992722,0.00006511148,0.0004123284,0.00012550972,0.00004799742,0.000076820084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017699359,0.00008857846,0.0002598163,0.000008342643,0.00003845878,0.000008965848,0.00012010755,0.000058512243,0.00001358433],"category_scores_gemma":[0.00007529123,0.00007404289,0.00002222418,0.00022735652,0.00038856748,0.00016530261,0.00009101961,0.00009346618,0.0000010556308],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019108187,0.0009938246,0.7020393,0.00020017751,0.000317212,0.000019831654,0.002435883,0.0072313054,0.029768797,0.00092766515,0.14909568,0.10505948],"study_design_scores_gemma":[0.024305165,0.022935018,0.36765388,0.00018397972,0.0013560333,0.0015282015,0.021296076,0.10400216,0.014818813,0.027734594,0.41208032,0.002105743],"about_ca_topic_score_codex":0.00008323845,"about_ca_topic_score_gemma":0.00002062172,"teacher_disagreement_score":0.33438542,"about_ca_system_score_codex":0.00005843741,"about_ca_system_score_gemma":0.000022155275,"threshold_uncertainty_score":0.30193815},"labels":[],"label_agreement":null},{"id":"W2512414882","doi":"10.1175/jtech-d-16-0067.1","title":"Validation of Ocean Color Remote Sensing Reflectance Using Autonomous Floats","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atlantic School of Theology; Dalhousie University","funders":"","keywords":"Remote sensing; Satellite; Visible Infrared Imaging Radiometer Suite; Environmental science; Buoy; Ocean color; Radiometer; Reflectivity; Float (project management); Meteorology; Geology; Oceanography; Optics; Geography","score_opus":0.009649609938250009,"score_gpt":0.21133608178499805,"score_spread":0.20168647184674804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512414882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98627627,0.0006175451,0.011979183,0.00037139232,0.00022494995,0.000052469815,0.0000028972643,0.000021134767,0.0004541694],"genre_scores_gemma":[0.9778847,0.00019495634,0.02172181,0.000025338784,0.00006397043,2.788462e-9,2.712113e-7,0.0000037387701,0.000105183404],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991217,0.000034710298,0.00043149668,0.0001179177,0.00012098652,0.0001731864],"domain_scores_gemma":[0.9991224,0.000063993684,0.00052844896,0.0001137405,0.000117623465,0.000053840584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025772434,0.000096341035,0.00028174694,0.000024659626,0.000057220328,0.000010506245,0.00012798773,0.00011566838,0.000090688176],"category_scores_gemma":[0.00008103719,0.00006212686,0.000046226593,0.00028982788,0.00009450603,0.00015265027,0.000020190595,0.00010685065,0.000002849748],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001481076,0.000011136938,0.04937259,0.0000442958,0.00006836484,0.00008631239,0.00007354053,0.000214062,0.01341007,0.00011956397,0.0001502823,0.93630165],"study_design_scores_gemma":[0.010759329,0.01315529,0.1007461,0.0031200738,0.0008130205,0.026340632,0.005052042,0.62387604,0.101728536,0.07656214,0.035248823,0.0025979723],"about_ca_topic_score_codex":0.00009399924,"about_ca_topic_score_gemma":0.000043879856,"teacher_disagreement_score":0.9337037,"about_ca_system_score_codex":0.0000129985765,"about_ca_system_score_gemma":0.000091699825,"threshold_uncertainty_score":0.253346},"labels":[],"label_agreement":null},{"id":"W2523139353","doi":"10.1175/jtech-d-15-0179.1","title":"Simulation of Free-Surface Flow Using the Smoothed Particle Hydrodynamics (SPH) Method with Radiation Open Boundary Conditions","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Smoothed-particle hydrodynamics; Boundary value problem; Mechanics; Boundary (topology); Flow (mathematics); Open water; Free surface; Computer simulation; Physics; Geology; Mathematical analysis; Mathematics","score_opus":0.007867572685419266,"score_gpt":0.26246937323108327,"score_spread":0.254601800545664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523139353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5188317,0.000210961,0.48041385,0.00033729253,0.00007040976,0.000075897464,0.000007748139,0.000020835576,0.000031299147],"genre_scores_gemma":[0.92292726,0.00010742477,0.07689153,0.0000121178355,0.000017295873,8.1210356e-7,5.5406855e-7,0.000017041995,0.000025991303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993508,0.000028716486,0.00034146666,0.000075976466,0.00008793801,0.000115118055],"domain_scores_gemma":[0.9991882,0.00024080712,0.00019911786,0.00020983642,0.00013274472,0.000029304525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017433177,0.00009111186,0.00018917616,0.0000138579135,0.000111646645,0.000028515395,0.00021892013,0.000082368955,0.00003986491],"category_scores_gemma":[0.00007961225,0.00005371884,0.000035598878,0.00032489328,0.000106010295,0.0003621325,0.0000477932,0.0001319961,5.4508473e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023275661,0.000021692456,0.0016591295,0.000005188215,0.000090111644,0.0000014963371,0.00006066493,0.98048836,0.0094992835,0.001509394,0.000040437582,0.006600983],"study_design_scores_gemma":[0.0007271376,0.000152483,0.0016216871,0.000047775568,0.000068943475,0.000061003277,0.00016639674,0.992946,0.000603616,0.0029817435,0.00054791017,0.00007526673],"about_ca_topic_score_codex":0.000007150387,"about_ca_topic_score_gemma":0.000009021355,"teacher_disagreement_score":0.40409556,"about_ca_system_score_codex":0.00008871882,"about_ca_system_score_gemma":0.000048488884,"threshold_uncertainty_score":0.21905906},"labels":[],"label_agreement":null},{"id":"W2528810434","doi":"10.1175/jtech-d-16-0143.1","title":"The Imperfect Phase Pattern of Real Parabolic Radar Antenna and Data Quality","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Radar; Remote sensing; Antenna (radio); Radar imaging; Phase (matter); Azimuth; Computer science; Geology; Environmental science; Optics; Physics; Telecommunications","score_opus":0.025598695841300253,"score_gpt":0.2837723195731968,"score_spread":0.25817362373189656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528810434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896933,0.005618567,0.0026093503,0.0018962245,0.000074423115,0.000033444456,0.000022953946,0.0000090477715,0.00004269733],"genre_scores_gemma":[0.98878706,0.010422852,0.0006927822,0.000028443863,0.00003916692,5.0400107e-8,0.0000014456675,0.0000016724684,0.000026521502],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99909705,0.00007869191,0.00039172018,0.00012548894,0.00016882778,0.00013822743],"domain_scores_gemma":[0.9990161,0.00021572388,0.0004058296,0.00023546933,0.00007358537,0.00005329661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096525357,0.00007714958,0.00023439099,0.000012422855,0.00009696866,0.000016048434,0.0003448821,0.000059724473,0.00007012844],"category_scores_gemma":[0.00016537476,0.000036227004,0.00003391294,0.00018505644,0.00021803036,0.0001807971,0.000033135395,0.00009337057,0.00000162818],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054671855,0.000012641099,0.40697208,0.0000052489927,0.00007010083,0.000003755728,0.00003153531,1.9629057e-7,0.0016075992,0.00005105391,0.00015166355,0.5910395],"study_design_scores_gemma":[0.0028415741,0.0010192728,0.98360354,0.00007677684,0.00017888882,0.00014800442,0.0013049189,0.0019673102,0.00037347228,0.003464387,0.004831212,0.00019065184],"about_ca_topic_score_codex":0.00009181732,"about_ca_topic_score_gemma":0.0001519805,"teacher_disagreement_score":0.5908488,"about_ca_system_score_codex":0.0000023439118,"about_ca_system_score_gemma":0.00003970942,"threshold_uncertainty_score":0.14772943},"labels":[],"label_agreement":null},{"id":"W2541085417","doi":"10.1175/jtech-d-16-0131.1","title":"Spectral and Structure Function Estimates of Turbulence Dissipation Rates in a High-Flow Tidal Channel Using Broadband ADCPs","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Turbulence; Dissipation; Doppler effect; Acoustic Doppler current profiler; Empirical orthogonal functions; Channel (broadcasting); Physics; Flow (mathematics); Environmental science; Mechanics; Meteorology; Mathematics; Statistics; Telecommunications; Computer science","score_opus":0.004345114789737104,"score_gpt":0.2017594072502853,"score_spread":0.1974142924605482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541085417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895107,0.0007598768,0.009175261,0.0004217184,0.00006757334,0.000047304384,0.0000021169756,0.000009319626,0.000006098827],"genre_scores_gemma":[0.9926636,0.00031071744,0.006975072,0.00002271648,0.000015442753,3.4565556e-7,2.779373e-7,0.000005106986,0.000006713331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936485,0.000011591671,0.00026089445,0.00013353818,0.00008698006,0.00014215113],"domain_scores_gemma":[0.99965525,0.00003142477,0.00021134871,0.000056064033,0.000012132206,0.00003377089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009656485,0.00009685104,0.00020634814,0.000015990654,0.00004099767,0.0000039954284,0.00008125877,0.0001469111,0.00017686354],"category_scores_gemma":[0.000027861986,0.00006214602,0.000016203387,0.00019834406,0.00031499422,0.00024628962,0.000026343292,0.00012444636,4.2388058e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034749985,0.000075301694,0.8794175,0.000037579364,0.000039276503,0.00003235359,0.00022391889,0.0020273605,0.08171064,0.0001943334,0.000023332757,0.0358709],"study_design_scores_gemma":[0.0021899797,0.0013813279,0.9072458,0.00020352927,0.00011381475,0.00044183203,0.00019138036,0.012355698,0.02736759,0.048175197,0.00009445946,0.00023937812],"about_ca_topic_score_codex":0.000015482883,"about_ca_topic_score_gemma":0.00001851444,"teacher_disagreement_score":0.054343045,"about_ca_system_score_codex":0.000029101284,"about_ca_system_score_gemma":0.0000137022425,"threshold_uncertainty_score":0.25342414},"labels":[],"label_agreement":null},{"id":"W2550614314","doi":"10.1175/jtech-d-15-0246.1","title":"Ice Crystal Sizes in High Ice Water Content Clouds. Part II: Statistics of Mass Diameter Percentiles in Tropical Convection Observed during the HAIC/HIWC Project","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ice crystals; Atmospheric sciences; Ice nucleus; Icing; Water vapor; Meteorology; Environmental science; Chemistry; Analytical Chemistry (journal); Geology; Geography; Nucleation; Environmental chemistry","score_opus":0.01206754586764837,"score_gpt":0.19961980993014006,"score_spread":0.18755226406249167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550614314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951215,0.0001869468,0.0033288184,0.0009567336,0.0001851685,0.00017963834,0.0000049586292,0.000014506731,0.000021741855],"genre_scores_gemma":[0.98953825,0.00058065733,0.009449601,0.000046057936,0.00003551894,0.0000059862823,2.3955621e-7,0.000014991002,0.00032869657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846554,0.00008321284,0.00066073716,0.00021614193,0.0002299498,0.0003444077],"domain_scores_gemma":[0.9993544,0.00008863287,0.0003069795,0.00017491638,0.000031073603,0.00004396996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021736581,0.00017058283,0.00039063144,0.0000030317015,0.00008139431,0.000011575224,0.0002632945,0.00017071016,0.0003350095],"category_scores_gemma":[0.0000930645,0.000085329455,0.000060586084,0.00023025254,0.0005150589,0.00015568374,0.0001951147,0.0002875179,0.0000034027612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040324425,0.00023643328,0.8905088,0.000035358527,0.00005298956,0.00008821168,0.0005741595,0.00008100596,0.097022094,0.00035973772,0.00025748776,0.010380482],"study_design_scores_gemma":[0.0029077218,0.0010144335,0.98178995,0.0001241637,0.000045540364,0.00015697244,0.0021448054,0.0003578738,0.0074976436,0.0013029992,0.0024205458,0.0002373253],"about_ca_topic_score_codex":0.00016664722,"about_ca_topic_score_gemma":0.0001212356,"teacher_disagreement_score":0.09128118,"about_ca_system_score_codex":0.0002090478,"about_ca_system_score_gemma":0.000024233912,"threshold_uncertainty_score":0.36681193},"labels":[],"label_agreement":null},{"id":"W2552650548","doi":"10.1175/jtech-d-16-0088.1","title":"Performance of Emerging Technologies for Measuring Solid and Liquid Precipitation in Cold Climate as Compared to the Traditional Manual Gauges","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Department of National Defence; Government of Canada; Impact; Barrie Urology Group; Environment and Climate Change Canada","funders":"","keywords":"Snow; Environmental science; Precipitation; Wind speed; Drizzle; Precipitation types; Meteorology; Atmospheric sciences; Climatology; Geology; Geography","score_opus":0.02014614584443921,"score_gpt":0.2322829995001568,"score_spread":0.21213685365571758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552650548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946748,0.0011121825,0.0007053241,0.0032678747,0.00006410626,0.00011170598,0.000008780139,0.0000175205,0.0000377028],"genre_scores_gemma":[0.9952177,0.001177099,0.0035453476,0.000025381638,0.000020471452,0.0000018079179,6.821721e-7,0.0000021413855,0.00000939224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992233,0.000021031079,0.00034152123,0.000103262326,0.00015577846,0.00015510763],"domain_scores_gemma":[0.9994255,0.00014145362,0.0002436513,0.000063628926,0.00010090099,0.00002489572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005233844,0.000077584584,0.0002050273,0.000057027723,0.00008787637,0.000010337488,0.0001591904,0.00006234623,0.000022551912],"category_scores_gemma":[0.00015312544,0.000044935627,0.000032654745,0.00027552358,0.00010948024,0.00017889151,0.00001410327,0.00007822429,0.0000012744922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094909925,0.00005273002,0.7591313,0.00010264676,0.00014996038,0.0000045572874,0.00073110795,0.002443385,0.016587,0.0015703145,0.00022712156,0.21805078],"study_design_scores_gemma":[0.0031330683,0.005227214,0.9190964,0.00082500157,0.00018619833,0.00015047952,0.010103386,0.023014871,0.02965962,0.00604696,0.0021090026,0.00044780198],"about_ca_topic_score_codex":0.0000041971844,"about_ca_topic_score_gemma":0.000055304627,"teacher_disagreement_score":0.21760297,"about_ca_system_score_codex":0.000007908219,"about_ca_system_score_gemma":0.00002695203,"threshold_uncertainty_score":0.18324217},"labels":[],"label_agreement":null},{"id":"W2561630827","doi":"10.1175/jtech-d-16-0139.1","title":"Dependence of 25-MHz HF Radar Working Range on Near-Surface Conductivity, Sea State, and Tides","year":2016,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; University of British Columbia","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Range (aeronautics); Plume; Radar; Wind speed; Sea state; Geology; Conductivity; Environmental science; Atmospheric sciences; Meteorology; Physics; Materials science; Remote sensing; Oceanography; Telecommunications","score_opus":0.010080776252353003,"score_gpt":0.20103182263861366,"score_spread":0.19095104638626065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561630827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99420476,0.0038495176,0.0003834519,0.00091842306,0.00020261653,0.00005864126,0.0000051811066,0.000015238799,0.0003621555],"genre_scores_gemma":[0.982068,0.0019309741,0.01577918,0.00004845145,0.000036305948,1.5669063e-9,1.3943146e-7,0.000005341479,0.0001315905],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990401,0.000043817745,0.00032273028,0.00017074021,0.00018518839,0.00023737749],"domain_scores_gemma":[0.9991653,0.00019829617,0.00036689645,0.0001205624,0.000060265043,0.000088658344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029991253,0.00013659753,0.0003393587,0.000011713283,0.00010482091,0.00002506475,0.00014308191,0.00012893327,0.000074672],"category_scores_gemma":[0.000069604466,0.000080140395,0.000045620385,0.00022412294,0.00043492447,0.0001624613,0.000029136241,0.00022964473,0.0000043956197],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017617927,0.000026748501,0.44490394,0.000030411016,0.00008101261,0.00012377018,0.00013335414,0.00020476984,0.0020146035,0.00009085451,0.00015892467,0.5520554],"study_design_scores_gemma":[0.0040270397,0.0044824197,0.9419617,0.0012730433,0.00015043537,0.004397112,0.0018261374,0.007709758,0.0069291983,0.01574189,0.010713024,0.0007882119],"about_ca_topic_score_codex":0.000052933552,"about_ca_topic_score_gemma":0.000034527045,"teacher_disagreement_score":0.5512672,"about_ca_system_score_codex":0.0000069631506,"about_ca_system_score_gemma":0.000058091537,"threshold_uncertainty_score":0.32680303},"labels":[],"label_agreement":null},{"id":"W2588977062","doi":"10.1175/jtech-d-16-0021.1","title":"Electronic Scan Strategy for Phased Array Weather Radar Using a Space–Time Characterization Model","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Radar; Phased array; Dwell time; Weather radar; Remote sensing; Scale (ratio); Real-time computing; Geology; Geography; Antenna (radio); Telecommunications","score_opus":0.018624015657645116,"score_gpt":0.23969061455741256,"score_spread":0.22106659889976743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588977062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8652228,0.00058610196,0.13322967,0.0005972115,0.000054029668,0.00008428827,0.000006971799,0.00001544173,0.00020348711],"genre_scores_gemma":[0.9865759,0.0001957211,0.012916451,0.000028990165,0.000073058865,2.0902515e-7,0.0000045016773,0.0000047793214,0.00020037645],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992616,0.000015995844,0.00024662865,0.00012307256,0.00013055421,0.00022210953],"domain_scores_gemma":[0.9991287,0.000015518071,0.0005589831,0.00013727353,0.00010629472,0.000053203916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029863618,0.00010485647,0.00024164312,0.00002448838,0.0002890835,0.00008043649,0.00023491523,0.00009970917,0.00014986751],"category_scores_gemma":[0.000053634834,0.0000832502,0.00007549956,0.00010196462,0.00008524135,0.00034098615,0.00000320571,0.00012945863,0.0000025727986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044645512,0.0000964776,0.13781253,0.00003931468,0.00054073427,0.000008141413,0.00017175541,0.004713108,0.61907816,0.0010638332,0.00011017193,0.23591933],"study_design_scores_gemma":[0.003929692,0.0017510289,0.05846574,0.00011654187,0.0006458956,0.00016093731,0.000441571,0.8942562,0.011832215,0.024312569,0.0034617684,0.0006258511],"about_ca_topic_score_codex":0.000009289827,"about_ca_topic_score_gemma":0.000017189908,"teacher_disagreement_score":0.88954306,"about_ca_system_score_codex":0.000013239152,"about_ca_system_score_gemma":0.00014749616,"threshold_uncertainty_score":0.33948445},"labels":[],"label_agreement":null},{"id":"W2589056198","doi":"10.1175/jtech-d-16-0176.1","title":"Assessment of Radiometric Data from a Buoy in the St. Lawrence Estuary","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Radiance; Visible Infrared Imaging Radiometer Suite; Buoy; Environmental science; Radiometer; Remote sensing; Irradiance; Ocean color; Zenith; Upwelling; Solar zenith angle; Moderate-resolution imaging spectroradiometer; Spectroradiometer; Radiometry; Geology; Meteorology; Satellite; Oceanography; Optics; Physics; Reflectivity","score_opus":0.02109332650970213,"score_gpt":0.2582923044942538,"score_spread":0.23719897798455164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589056198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936498,0.002801945,0.0004896264,0.00071910897,0.00018622479,0.00006510208,0.000032449876,0.00000507226,0.0020507043],"genre_scores_gemma":[0.99545276,0.0009298604,0.0034958688,0.000040197363,0.000055526503,1.2057028e-7,0.000005357636,0.0000015692926,0.000018747096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913114,0.00004296548,0.0003527979,0.00013559255,0.00020161469,0.00013587502],"domain_scores_gemma":[0.9986357,0.00014609867,0.00056295714,0.0005884284,0.000034302615,0.00003253044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006277029,0.00008000915,0.0002748743,0.000029236322,0.000094885116,0.00004860745,0.0014539941,0.00008064645,0.00016706862],"category_scores_gemma":[0.0001492428,0.000048135462,0.00002663406,0.00033754838,0.0001361931,0.00026658303,0.00012347633,0.0002736423,0.0000013687621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011146439,0.000026295082,0.8712483,0.00000942969,0.00002598232,0.000075883676,0.000021486847,0.000013795883,0.000009213642,0.00016756903,0.0005737973,0.1278171],"study_design_scores_gemma":[0.00035939246,0.00033152758,0.9817711,0.00003181561,0.000023301991,0.00015801514,0.00062208984,0.01073512,0.0000028332222,0.001728664,0.0041788416,0.000057274377],"about_ca_topic_score_codex":0.0019586463,"about_ca_topic_score_gemma":0.0013474063,"teacher_disagreement_score":0.12775981,"about_ca_system_score_codex":0.0000032775624,"about_ca_system_score_gemma":0.00008979167,"threshold_uncertainty_score":0.29609007},"labels":[],"label_agreement":null},{"id":"W2610285028","doi":"10.1175/jtech-d-16-0247.1","title":"Calculating the Meridional Volume, Heat, and Freshwater Transports from an Observing System in the Subpolar North Atlantic: Observing System Simulation Experiment","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Zonal and meridional; North Atlantic Deep Water; Climatology; General Circulation Model; Oceanography; Gulf Stream; Circulation (fluid dynamics); Environmental science; Thermohaline circulation; Geology; Climate change; Physics; Mechanics","score_opus":0.011634318289814333,"score_gpt":0.2191702030220753,"score_spread":0.20753588473226095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610285028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917559,0.006059132,0.0012600671,0.0004843808,0.00021080006,0.00014850184,0.00000989013,0.00003598966,0.0000353333],"genre_scores_gemma":[0.9965407,0.00017924237,0.0030414655,0.000069478614,0.00015173657,7.73404e-7,0.000006108868,0.0000073404644,0.0000031105933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854946,0.00009138207,0.0005334931,0.00024175135,0.00029601643,0.00028788942],"domain_scores_gemma":[0.998939,0.00013315746,0.00043945375,0.00034320256,0.000068540474,0.00007669011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052798714,0.00019942266,0.0003667284,0.000009142987,0.00077385426,0.00019474588,0.00064301444,0.00013882184,0.00002659512],"category_scores_gemma":[0.000036726,0.00010971195,0.000060742575,0.00019678818,0.0002260643,0.00048742705,0.00003590669,0.00034017878,8.195495e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038074864,0.000014099947,0.9889272,0.000057472265,0.00003796763,0.00011855856,0.0007564225,0.0041944906,0.000020836258,0.00007977145,0.000007055336,0.0057480894],"study_design_scores_gemma":[0.000323305,0.00016123637,0.7680958,0.00017395831,0.000055176417,0.0002093833,0.008635915,0.22170043,0.000009920677,0.0000714128,0.00044073747,0.00012274532],"about_ca_topic_score_codex":0.0026826484,"about_ca_topic_score_gemma":0.0029082387,"teacher_disagreement_score":0.22083138,"about_ca_system_score_codex":0.000013067847,"about_ca_system_score_gemma":0.000046741385,"threshold_uncertainty_score":0.5951939},"labels":[],"label_agreement":null},{"id":"W2737331376","doi":"10.1175/jtech-d-16-0166.1","title":"Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Sea ice; Climatology; Arctic; Environmental science; Arctic ice pack; Sea surface temperature; Data assimilation; Archipelago; Oceanography; Geology; Ensemble Kalman filter; Beaufort sea; Kalman filter; Meteorology; Geography; Extended Kalman filter","score_opus":0.013798265681116579,"score_gpt":0.22898808451595626,"score_spread":0.21518981883483967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737331376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9242284,0.00081313617,0.07188571,0.0024531884,0.00016089858,0.00010689924,0.000013292787,0.000038393424,0.0003000238],"genre_scores_gemma":[0.95167774,0.000484519,0.047367126,0.00025255515,0.00008268134,1.3029471e-7,0.000008811761,0.000010916139,0.000115495546],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856794,0.000024386363,0.00043935937,0.00031900808,0.00028926783,0.00036005737],"domain_scores_gemma":[0.99816674,0.00010058585,0.00071173406,0.00073980994,0.00013767969,0.00014346633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037407025,0.00022231128,0.00043746116,0.000018971092,0.0006075072,0.00011715469,0.0011676018,0.00019513589,0.00013725829],"category_scores_gemma":[0.000210483,0.0001486572,0.000046289533,0.00013292799,0.0007227455,0.0006571449,0.00019525962,0.0006104708,0.000008344831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005202083,0.00009089838,0.74267626,0.0001157689,0.00034631792,0.0005716592,0.0006557508,0.010260494,0.00003176816,0.00033993897,0.00071557297,0.24367534],"study_design_scores_gemma":[0.001020137,0.0006455509,0.05462941,0.00013958421,0.00014256527,0.0011126915,0.002239889,0.93681633,0.0000030119456,0.0024497577,0.00056599715,0.00023508574],"about_ca_topic_score_codex":0.00031813025,"about_ca_topic_score_gemma":0.00034549416,"teacher_disagreement_score":0.9265558,"about_ca_system_score_codex":0.000020179394,"about_ca_system_score_gemma":0.0002496606,"threshold_uncertainty_score":0.6062065},"labels":[],"label_agreement":null},{"id":"W2740918490","doi":"10.1175/jtech-d-17-0042.1","title":"Evaluation of Optical Proxies for Suspended Particulate Mass in Stratified Waters","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Dalhousie University","funders":"Office of Naval Research","keywords":"Particulates; Schlieren; Attenuation; Environmental science; Bin; Metre; Buoyancy; Scattering; Light scattering; Optics; Remote sensing; Estuary; Geology; Physics; Mechanics; Oceanography","score_opus":0.03703732341854721,"score_gpt":0.2984877404668002,"score_spread":0.261450417048253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740918490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99338347,0.00023308794,0.004998995,0.0008032683,0.000086198634,0.00020873712,0.0000023977059,0.000004732289,0.00027912372],"genre_scores_gemma":[0.97901237,0.000076982506,0.020864815,0.000003920062,0.000019067595,7.323395e-7,6.9798506e-7,0.0000023579933,0.00001907095],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998975,0.000039234445,0.00032796958,0.000102502025,0.0003493925,0.00020591817],"domain_scores_gemma":[0.9992121,0.00006591196,0.0002485191,0.00014778125,0.00027825925,0.00004746055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015016736,0.00006975817,0.00021493611,0.00002252854,0.000081133105,0.00004407507,0.00025947977,0.000109575354,0.00008527019],"category_scores_gemma":[0.00039613296,0.000049262508,0.000032217493,0.00007736541,0.00025236284,0.00016443436,0.00001595816,0.00015912378,0.0000010631445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045811385,0.00008693737,0.674702,0.00009806362,0.00018694127,0.000056755416,0.00026558168,0.017167931,0.007930847,0.0006586213,0.00007264468,0.29831555],"study_design_scores_gemma":[0.0028742447,0.0013532669,0.3621978,0.00006267614,0.00015843072,0.00009764072,0.0009386681,0.5363399,0.013234386,0.082527034,0.00006628963,0.00014967764],"about_ca_topic_score_codex":0.000022872468,"about_ca_topic_score_gemma":0.00008882042,"teacher_disagreement_score":0.51917195,"about_ca_system_score_codex":0.00001252549,"about_ca_system_score_gemma":0.00015025288,"threshold_uncertainty_score":0.20088668},"labels":[],"label_agreement":null},{"id":"W2762783367","doi":"10.1175/jtech-d-16-0205.1","title":"Quality Control of Surface Wind Observations in Northeastern North America. Part II: Measurement Errors","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"Environment and Climate Change Canada; Ministerio de Economía y Competitividad; Atlantic Canada Opportunities Agency; St. Francis Xavier University; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Ministério da Ciência, Tecnologia e Inovação; European Commission; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; National Center for Atmospheric Research","keywords":"Wind speed; Environmental science; Meteorology; Wind direction; Data quality; Quality (philosophy); Observational error; Wind power; Magnitude (astronomy); Database; Geodesy; Geology; Computer science; Statistics; Geography; Mathematics; Physics; Engineering","score_opus":0.04890468331714813,"score_gpt":0.24918850443530446,"score_spread":0.20028382111815635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762783367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632,0.0009610723,0.0007436677,0.0015331968,0.00014566569,0.00009931287,0.000013249996,0.0000127554185,0.0001710443],"genre_scores_gemma":[0.9976949,0.00013903556,0.0020326672,0.00008450926,0.000024779363,7.803198e-8,0.0000010914596,0.0000027071333,0.000020250802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987261,0.00007173132,0.00061881496,0.0001314451,0.00025882173,0.0001930466],"domain_scores_gemma":[0.9985723,0.00009697386,0.0008360711,0.00024726416,0.0001694601,0.00007792524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005419514,0.000105930725,0.00041425473,0.000013476773,0.00019452153,0.00001588077,0.00034358999,0.00009187567,0.00011533276],"category_scores_gemma":[0.00041301848,0.00007695564,0.000060703584,0.00017695763,0.00028917467,0.00017681101,0.000024924175,0.00022785478,0.0000018831064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006386334,0.000048226324,0.96823144,0.000006438335,0.00003509632,0.000006774031,0.000075819946,0.016235847,0.00003641985,0.000105829175,0.000015063544,0.01513921],"study_design_scores_gemma":[0.0007837061,0.0005001168,0.98857725,0.000016365817,0.000021461881,0.000006735203,0.00024407964,0.0058924174,0.0000029992848,0.0017706491,0.0021024975,0.00008170341],"about_ca_topic_score_codex":0.00022356688,"about_ca_topic_score_gemma":0.0009577312,"teacher_disagreement_score":0.020345856,"about_ca_system_score_codex":0.000008605058,"about_ca_system_score_gemma":0.00006921012,"threshold_uncertainty_score":0.313816},"labels":[],"label_agreement":null},{"id":"W2763460283","doi":"10.1175/jtech-d-16-0204.1","title":"Quality Control of Surface Wind Observations in Northeastern North America. Part I: Data Management Issues","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Natural Sciences and Engineering Research Council of Canada; Ministerio de Economía y Competitividad; St. Francis Xavier University; Atlantic Canada Opportunities Agency; Canada Research Chairs; Fisheries and Oceans Canada; Environment and Climate Change Canada; Universidad Complutense de Madrid","keywords":"Data quality; Standardization; Data consistency; Wind speed; Consistency (knowledge bases); Meteorology; Computer science; Wind direction; Quality (philosophy); Process (computing); Data collection; Database; Remote sensing; Data mining; Geology; Geography; Statistics; Mathematics; Engineering; Metric (unit); Artificial intelligence; Operations management","score_opus":0.02163168650843986,"score_gpt":0.2591272379795302,"score_spread":0.23749555147109033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763460283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899482,0.0004433046,0.007847205,0.0012433435,0.000101805825,0.00013505142,0.000009019564,0.000010479907,0.00026157708],"genre_scores_gemma":[0.9581524,0.0015269176,0.03988062,0.00008544383,0.00001666133,3.8552704e-7,0.0000017975592,0.00001198173,0.0003237912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859583,0.000038335114,0.0006158828,0.00025807656,0.00025880843,0.00023309203],"domain_scores_gemma":[0.99812365,0.0000318082,0.00091322867,0.00085313444,0.000010119121,0.00006806996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030407103,0.00015485837,0.00041570628,0.0000030863882,0.00012784195,0.000018821847,0.0010780392,0.00009510959,0.000104566905],"category_scores_gemma":[0.000053591346,0.00013298808,0.00004346949,0.00016550001,0.00073914917,0.00039701018,0.00072323467,0.00022174403,0.0000072928724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045556008,0.00014037528,0.9456675,0.0000115985,0.000053373577,0.000032351614,0.00006994842,0.014833725,0.00006322956,0.00008484823,0.00011544942,0.038882054],"study_design_scores_gemma":[0.0009406559,0.00016586296,0.97473687,0.000027536124,0.000044169552,0.00002153366,0.00088133255,0.010417176,0.0000037327943,0.00045144002,0.012169333,0.00014035737],"about_ca_topic_score_codex":0.00023755187,"about_ca_topic_score_gemma":0.00013039321,"teacher_disagreement_score":0.038741697,"about_ca_system_score_codex":0.000075855874,"about_ca_system_score_gemma":0.000009997752,"threshold_uncertainty_score":0.54230964},"labels":[],"label_agreement":null},{"id":"W2772300464","doi":"10.1175/jtech-d-16-0230.1","title":"Radar Network–Based Detection of Mesocyclones at the German Weather Service","year":2017,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Azimuth; Computer science; Weather radar; Remote sensing; Meteorology; Radar; Real-time computing; Environmental science; Geology; Telecommunications","score_opus":0.010678119656457135,"score_gpt":0.22232304952596688,"score_spread":0.21164492986950975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772300464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937644,0.0022363134,0.00090176,0.0022362052,0.0001868515,0.000060173632,0.0000022566785,0.00001156426,0.0006005014],"genre_scores_gemma":[0.99779236,0.00013034322,0.0017128357,0.00020404188,0.00007864895,1.3318875e-7,4.62164e-7,0.0000023310645,0.000078840436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933547,0.000040708226,0.00026646905,0.000087878616,0.000118103,0.00015137465],"domain_scores_gemma":[0.9990034,0.000120713135,0.00053184974,0.00023132168,0.00006936919,0.000043334618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029515888,0.00008192287,0.00020842373,0.00000685446,0.00043502814,0.000019479947,0.00031814445,0.00011285309,0.0004469556],"category_scores_gemma":[0.000060970106,0.0000455908,0.000053501783,0.00012752491,0.00021442636,0.000091317364,0.00002901479,0.0001708505,0.000006404147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043887747,0.00005072759,0.744004,0.000035738034,0.00017451217,0.000035883455,0.0001820518,0.010802097,0.002377593,0.0007123394,0.00037581523,0.24081038],"study_design_scores_gemma":[0.00070564664,0.00056872016,0.9493958,0.000018142873,0.000079030964,0.00009729416,0.00011202283,0.020368448,0.00032964617,0.015974479,0.012238245,0.0001125274],"about_ca_topic_score_codex":0.000059780974,"about_ca_topic_score_gemma":0.0002888406,"teacher_disagreement_score":0.24069785,"about_ca_system_score_codex":0.000004523118,"about_ca_system_score_gemma":0.000021124803,"threshold_uncertainty_score":0.48938504},"labels":[],"label_agreement":null},{"id":"W2783853590","doi":"10.1175/jtech-d-17-0132.1","title":"Cloud-Assisted Retrieval of Lower-Stratospheric Water Vapor from Nadir-View Satellite Measurements","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Water vapor; Nadir; Environmental science; Cirrus; Remote sensing; Satellite; Tropopause; Cloud top; Meteorology; Atmospheric sciences; Stratosphere; Geology; Physics","score_opus":0.0156576870521949,"score_gpt":0.21916394151952714,"score_spread":0.20350625446733225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783853590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98535514,0.011626037,0.00036555578,0.00034585595,0.00096134195,0.00011029707,0.000011230107,0.000043901146,0.0011806199],"genre_scores_gemma":[0.98558843,0.0020095552,0.011833769,0.00017090536,0.00026761089,1.3847013e-7,0.000003890776,0.000012119864,0.000113589915],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978295,0.000072588016,0.0009197834,0.00028565043,0.00042043303,0.00047202196],"domain_scores_gemma":[0.99855596,0.000058679896,0.0006128859,0.00029787296,0.0003015115,0.00017306296],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046329896,0.00026460804,0.00067387486,0.000009173885,0.00013514704,0.00003245397,0.00044878066,0.0003044785,0.0028404165],"category_scores_gemma":[0.00006256433,0.00017529789,0.00013948035,0.000591721,0.0005167584,0.00022064589,0.0000418039,0.0003336223,0.00008068086],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024413313,0.00026168406,0.45445502,0.00010218483,0.0008492911,0.0003539928,0.0005353803,0.00002739705,0.014405183,0.00009417242,0.0011158906,0.5253585],"study_design_scores_gemma":[0.0071850605,0.02169468,0.76495665,0.0007353151,0.0012633781,0.0025296104,0.003997843,0.0017759486,0.05365686,0.013179979,0.12716782,0.0018568407],"about_ca_topic_score_codex":0.00013864381,"about_ca_topic_score_gemma":0.00009365201,"teacher_disagreement_score":0.52350163,"about_ca_system_score_codex":0.000016508935,"about_ca_system_score_gemma":0.00010858768,"threshold_uncertainty_score":0.99807113},"labels":[],"label_agreement":null},{"id":"W2788432755","doi":"10.1175/jtech-d-17-0099.1","title":"Do High-Frequency Radars Measure the Wave-Induced Stokes Drift?","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Stokes drift; Physics; Wavelength; Surface wave; Radar; Doppler effect; Stokes wave; Computational physics; Optics; Wave propagation; Breaking wave; Telecommunications","score_opus":0.00956840840385243,"score_gpt":0.19651897094954976,"score_spread":0.18695056254569734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788432755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99035466,0.004028805,0.00022177877,0.0031401147,0.0008839553,0.00007534239,0.0000018392738,0.000034972025,0.0012585549],"genre_scores_gemma":[0.9867535,0.00043701782,0.012092222,0.00022938718,0.000418693,3.1970508e-9,3.7942684e-7,0.0000065300896,0.00006227194],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99882513,0.00005825855,0.000374719,0.00017115542,0.00025563018,0.0003151069],"domain_scores_gemma":[0.9991044,0.0000716594,0.00033834766,0.00022526617,0.00016608366,0.000094287374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041004556,0.00016074255,0.00028934717,0.000021943135,0.00030971033,0.000055995944,0.00029918004,0.0002023931,0.00025056666],"category_scores_gemma":[0.00009355217,0.0000884728,0.00007583407,0.00047534503,0.00043632748,0.00015236063,0.000023901415,0.00045960932,0.000014606607],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010125868,0.000029153278,0.029844502,0.00001403276,0.0001862511,0.00024467945,0.00051286735,0.000025198588,0.0013710497,0.0017267343,0.001480193,0.96446407],"study_design_scores_gemma":[0.004260388,0.008319457,0.8257228,0.00048382324,0.00053801754,0.017228777,0.013622325,0.0142621305,0.0038437322,0.08058016,0.029722849,0.0014155037],"about_ca_topic_score_codex":0.00008134822,"about_ca_topic_score_gemma":0.00004952452,"teacher_disagreement_score":0.9630486,"about_ca_system_score_codex":0.000008479137,"about_ca_system_score_gemma":0.00009658385,"threshold_uncertainty_score":0.3607816},"labels":[],"label_agreement":null},{"id":"W2802272138","doi":"10.1175/jtech-d-17-0142.1","title":"Quantitative Precipitation Estimation with Operational Polarimetric Radar Measurements in Southern China: A Differential Phase–Based Variational Approach","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"State Key Laboratory of Severe Weather; National Key Research and Development Program of China; Nanjing University; National Natural Science Foundation of China","keywords":"Quantitative precipitation estimation; Radar; Polarimetry; Covariance matrix; Estimator; Remote sensing; Variational method; A priori and a posteriori; Computer science; Covariance; Mathematics; Algorithm; Physics; Statistics; Scattering; Geology; Mathematical analysis; Optics","score_opus":0.018242874678123636,"score_gpt":0.2418484707717684,"score_spread":0.22360559609364478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802272138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6853049,0.0002672385,0.31384835,0.00025288475,0.00006210373,0.00009638507,0.000008577727,0.000012986645,0.00014655644],"genre_scores_gemma":[0.8135007,0.000005683227,0.18637374,0.00002914558,0.000046498488,6.2098394e-7,0.000027732627,0.0000035053197,0.000012383026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986864,0.0001000597,0.00040890716,0.00017317416,0.00047514678,0.00015631606],"domain_scores_gemma":[0.99914336,0.000056169574,0.00039187208,0.000071419774,0.000284762,0.000052435604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004949451,0.00013065862,0.0002385143,0.00014433594,0.00013657553,0.00004910711,0.00014403659,0.00009421484,0.00026621867],"category_scores_gemma":[0.00016200136,0.00009532621,0.00003967963,0.001033527,0.00013602682,0.00025402752,0.000005490959,0.00017459714,0.000006693232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016857063,0.00064804853,0.886521,0.00003453024,0.00041461698,0.0000061763244,0.0015106172,0.0120510645,0.0015626382,0.0011108617,0.000069742484,0.09438503],"study_design_scores_gemma":[0.003435662,0.0019958215,0.5043098,0.000039350096,0.00011049517,0.00002344199,0.0007602078,0.4876847,0.00012005826,0.0013395799,0.000018238203,0.00016267427],"about_ca_topic_score_codex":0.000093999755,"about_ca_topic_score_gemma":0.000115879106,"teacher_disagreement_score":0.47563365,"about_ca_system_score_codex":0.0000222804,"about_ca_system_score_gemma":0.00015925772,"threshold_uncertainty_score":0.38872904},"labels":[],"label_agreement":null},{"id":"W2803369220","doi":"10.1175/jtech-d-17-0175.1","title":"A Simple and Effective Method for Separating Meteorological from Nonmeteorological Targets Using Dual-Polarization Data","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Environment and Climate Change Canada; Government of Canada; National Science Foundation","keywords":"Remote sensing; Flagging; Computer science; Radar; Dual-polarization interferometry; Weather radar; Environmental science; Echo (communications protocol); Polarization (electrochemistry); Meteorology; Geology; Physics; Telecommunications; Cartography","score_opus":0.02913932223840478,"score_gpt":0.2935884569848918,"score_spread":0.264449134746487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803369220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6909135,0.0014565984,0.3072462,0.00016310725,0.00006746491,0.000096295385,0.000025211932,0.000014886838,0.00001673284],"genre_scores_gemma":[0.6818103,0.00004433536,0.31790513,0.000100185905,0.00011997603,2.275887e-7,0.000015326123,0.0000020635064,0.0000024561818],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989641,0.00012917197,0.00034878476,0.00024819886,0.00013168712,0.00017805766],"domain_scores_gemma":[0.9988921,0.000423614,0.0003615202,0.0001274926,0.0001291733,0.00006604238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009856775,0.00011339654,0.0003278132,0.00002325872,0.00019709191,0.000036970767,0.00018128873,0.00017026353,0.00015988338],"category_scores_gemma":[0.0006909875,0.00007899149,0.000038455273,0.00026910575,0.00016241214,0.00025265655,0.000051282852,0.00015560297,0.0000013128598],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003774945,0.000039383143,0.6455313,0.000013219969,0.00043667178,0.000017999371,0.00018315316,0.00025288755,0.016785624,0.0002025549,0.00022550496,0.33593422],"study_design_scores_gemma":[0.0009798898,0.0017583442,0.265883,0.000014579151,0.00038840115,0.00010432869,0.00044544792,0.7095533,0.000639932,0.018682344,0.0013653524,0.00018506363],"about_ca_topic_score_codex":0.000048720896,"about_ca_topic_score_gemma":0.000050657345,"teacher_disagreement_score":0.7093004,"about_ca_system_score_codex":0.00000507556,"about_ca_system_score_gemma":0.000025448311,"threshold_uncertainty_score":0.32211795},"labels":[],"label_agreement":null},{"id":"W2808148181","doi":"10.1175/jtech-d-18-0001.1","title":"An Improved Estimation and Gap-Filling Technique for Sea Surface Wind Speeds Using NARX Neural Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Wind speed; Nonlinear autoregressive exogenous model; Artificial neural network; Autoregressive model; Computer science; Environmental science; Storm; Wind direction; Meteorology; Bay; Geology; Statistics; Mathematics; Artificial intelligence; Geography","score_opus":0.011161153799878932,"score_gpt":0.23695633196304972,"score_spread":0.2257951781631708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808148181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8978792,0.0012306868,0.10022478,0.00018668,0.0002634263,0.00016546028,0.000002631795,0.000028168533,0.00001896586],"genre_scores_gemma":[0.7950027,0.00009981508,0.20463142,0.000052655447,0.00019853564,2.0717092e-9,0.000001588511,0.000007075572,0.0000061895093],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991075,0.000028130604,0.00032840171,0.000178328,0.00008103347,0.00027662006],"domain_scores_gemma":[0.9992857,0.000056967092,0.0003196949,0.00010962012,0.00012609943,0.00010192463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003551367,0.00014482107,0.00026683227,0.000020746955,0.00024802925,0.00005924508,0.00012009266,0.00022902116,0.000015170383],"category_scores_gemma":[0.00003545003,0.000111047935,0.000041338146,0.00026109093,0.000272215,0.0002638413,0.000014497215,0.00024792107,2.1388209e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005944286,0.00006028759,0.0881547,0.00010480347,0.00015821742,0.00007504266,0.00036994158,0.18582827,0.015973078,0.00011470637,0.00011360903,0.70845294],"study_design_scores_gemma":[0.00034601588,0.0012974314,0.0042578443,0.00004061394,0.0000457391,0.0012195732,0.00032943487,0.9903331,0.0005860429,0.0013250288,0.00008160693,0.00013757867],"about_ca_topic_score_codex":0.000041233165,"about_ca_topic_score_gemma":0.000012326518,"teacher_disagreement_score":0.8045048,"about_ca_system_score_codex":0.000007989464,"about_ca_system_score_gemma":0.00003557195,"threshold_uncertainty_score":0.45284033},"labels":[],"label_agreement":null},{"id":"W2888997655","doi":"10.1175/jtech-d-17-0205.1","title":"Surfzone State Estimation, with Applications to Quadcopter-Based Remote Sensing Data","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; Canadian Immunization Research Network; National Science Foundation","keywords":"Bathymetry; Quadcopter; Particle image velocimetry; Remote sensing; Geology; Inversion (geology); Lidar; Range (aeronautics); Wave height; Data assimilation; Meteorology; Geodesy; Physics; Geomorphology; Aerospace engineering","score_opus":0.009744453153379502,"score_gpt":0.22613663764365544,"score_spread":0.21639218449027595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888997655","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34105998,0.00010224831,0.6571957,0.001268608,0.00004923985,0.000083755105,0.000014155466,0.000029862911,0.00019646267],"genre_scores_gemma":[0.6047049,0.000024305617,0.39503142,0.00014469538,0.000031527987,1.7265918e-8,0.000007989753,0.0000028495087,0.000052279458],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993137,0.000011911766,0.0002468382,0.00015557531,0.000115157265,0.00015681157],"domain_scores_gemma":[0.9992642,0.00004220058,0.00019072922,0.0002767373,0.0001390519,0.00008711037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018871554,0.00008862861,0.000161089,0.000021467877,0.00010133495,0.000026595902,0.00025478975,0.00004465353,0.00005353228],"category_scores_gemma":[0.00003788921,0.000063421874,0.000011776066,0.0004774471,0.00015892433,0.000117142044,0.000049016824,0.00012904024,0.000014338641],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008024956,0.0000071662116,0.009132711,0.000007729825,0.000017490836,0.000016901457,0.000022020437,0.00090598164,0.000016076414,0.000024802053,0.00017499964,0.98959386],"study_design_scores_gemma":[0.0006152657,0.0017264148,0.04003949,0.0000580761,0.000055625576,0.0007402771,0.00021493988,0.92129636,0.0000572012,0.005010567,0.029967237,0.00021852495],"about_ca_topic_score_codex":0.00021401967,"about_ca_topic_score_gemma":0.0012616623,"teacher_disagreement_score":0.98937535,"about_ca_system_score_codex":0.0000047655603,"about_ca_system_score_gemma":0.00009570811,"threshold_uncertainty_score":0.25862688},"labels":[],"label_agreement":null},{"id":"W2889495657","doi":"10.1175/jtech-d-18-0008.1","title":"Quantifying the Error of Radar-Estimated Refractivity by Multiple Elevation and Dual-Polarimetric Data","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Remote sensing; Radar; Environmental science; Phase (matter); Geodesy; Geology; Computer science; Physics","score_opus":0.03342385782349071,"score_gpt":0.28835918289301127,"score_spread":0.25493532506952055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889495657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872435,0.00064624514,0.010756963,0.0011212722,0.00004301705,0.00006996394,0.000004343443,0.000016511956,0.00009822025],"genre_scores_gemma":[0.9606863,0.00018122936,0.039047297,0.000035183406,0.000017946368,7.6117935e-8,0.0000013307559,0.000006458388,0.000024177798],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993017,0.00003141513,0.00027253438,0.00015036101,0.00013173718,0.00011229808],"domain_scores_gemma":[0.9990924,0.000121173325,0.00041510028,0.0003110675,0.000028557255,0.000031681124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043927866,0.00007420217,0.00015380538,0.000010331221,0.00015555993,0.000013101217,0.0002131158,0.000092632705,0.000021623324],"category_scores_gemma":[0.00034041473,0.000049959915,0.000013742798,0.00059763814,0.00051456917,0.00015871006,0.00019950757,0.00019680389,0.0000034070274],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009670342,0.00013559617,0.22692251,0.000015484089,0.00009276139,0.000005726498,0.00026587653,0.000009517965,0.3733458,0.00026421185,0.011904214,0.3869416],"study_design_scores_gemma":[0.0014606348,0.0009993385,0.8351199,0.00006884139,0.00020680136,0.0011055311,0.0012473208,0.06910682,0.02360484,0.0018220734,0.06492237,0.0003355423],"about_ca_topic_score_codex":0.00018764116,"about_ca_topic_score_gemma":0.000021493779,"teacher_disagreement_score":0.6081974,"about_ca_system_score_codex":0.000025574762,"about_ca_system_score_gemma":0.000014031334,"threshold_uncertainty_score":0.20373061},"labels":[],"label_agreement":null},{"id":"W2889518694","doi":"10.1175/jtech-d-17-0222.1","title":"Assimilation of Argo Temperature and Salinity Profiles Using a Bias-Aware EnOI Scheme for the Labrador Sea","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Compute Canada","keywords":"Argo; Temperature salinity diagrams; Salinity; Climatology; Geology; Data assimilation; Assimilation (phonology); Environmental science; Oceanography; Sea surface temperature; Meteorology; Geography","score_opus":0.01640298252179793,"score_gpt":0.23623714895398926,"score_spread":0.21983416643219134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889518694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99178594,0.000828694,0.0061834888,0.00086877705,0.00015832396,0.000122434,0.000022407421,0.000010982017,0.000018966963],"genre_scores_gemma":[0.9655314,0.0003190872,0.033873424,0.000108711996,0.00014466487,1.6591778e-7,0.0000018834204,0.0000037118057,0.000016966138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934447,0.000022043443,0.0002750287,0.000101989404,0.00010773438,0.00014875912],"domain_scores_gemma":[0.9991594,0.00019466663,0.00034280776,0.00009007879,0.00017292473,0.00004014974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031886037,0.00009589275,0.00020961501,0.0000130448025,0.00021244689,0.000018216297,0.00013222372,0.0001514017,0.00005773287],"category_scores_gemma":[0.00014719991,0.000056746117,0.000040563547,0.00021928933,0.0004007251,0.00012315021,0.00001925987,0.00020621638,3.8274422e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002501374,0.000028163517,0.9307144,0.00010740109,0.00015848751,0.000006756194,0.00053458824,0.00012203443,0.00068545836,0.0007914668,0.00036081084,0.06624024],"study_design_scores_gemma":[0.0015116398,0.002356516,0.6047057,0.00020385219,0.00026880833,0.0010513928,0.008579316,0.37184387,0.00083527964,0.005727859,0.0026111635,0.00030462127],"about_ca_topic_score_codex":0.00004327556,"about_ca_topic_score_gemma":0.000035660247,"teacher_disagreement_score":0.37172186,"about_ca_system_score_codex":0.0000059148274,"about_ca_system_score_gemma":0.00011096086,"threshold_uncertainty_score":0.23140395},"labels":[],"label_agreement":null},{"id":"W2890262849","doi":"10.1175/jtech-d-18-0043.1","title":"Assessment of Quality and Reliability of Measurements with XBT Sippican T5 and T5/20","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"Commonwealth Scientific and Industrial Research Organisation; National Science Foundation","keywords":"Bathythermograph; Environmental science; Offset (computer science); Reliability (semiconductor); Computer science; Climatology; Geology","score_opus":0.014049073028702133,"score_gpt":0.25554444142967286,"score_spread":0.24149536840097074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890262849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500436,0.002464518,0.0013592913,0.00045908694,0.000063645275,0.00008767568,0.000006734505,0.000014279679,0.00054043153],"genre_scores_gemma":[0.962105,0.00077088777,0.03702026,0.00005860808,0.000029025801,1.4156345e-7,5.0349286e-7,0.0000036665201,0.0000119277765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986557,0.000058541802,0.00057649007,0.00020960439,0.0003050475,0.0001946157],"domain_scores_gemma":[0.99858105,0.00009917039,0.0007205195,0.00016806518,0.00032627114,0.00010494165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007147839,0.000151494,0.00051498826,0.0000125142205,0.00009255806,0.000012630336,0.00017831719,0.00012894114,0.000085091284],"category_scores_gemma":[0.00011088363,0.00009992588,0.000035078945,0.0004822567,0.0013216548,0.00017579884,0.000032540323,0.00020289986,1.5817184e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001045258,0.000047771344,0.9764809,0.00010927128,0.00006238921,0.0000031569775,0.00006208889,0.000010233323,0.00017424206,0.00014576575,0.000027873753,0.022771806],"study_design_scores_gemma":[0.000760695,0.0025770077,0.9912916,0.00008354767,0.00007507142,0.00011053645,0.0007815331,0.0004244582,0.0003524185,0.0030669316,0.00035603248,0.00012018419],"about_ca_topic_score_codex":0.00008886091,"about_ca_topic_score_gemma":0.000074050244,"teacher_disagreement_score":0.035660967,"about_ca_system_score_codex":0.000004932349,"about_ca_system_score_gemma":0.00014068924,"threshold_uncertainty_score":0.4869692},"labels":[],"label_agreement":null},{"id":"W2892100124","doi":"10.1175/jtech-d-18-0088.1","title":"A Real-Time Online Data Product that Automatically Detects Easterly Gap-Flow Events and Precipitation Type in the Columbia River Gorge","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Energy Efficiency and Renewable Energy; National Oceanic and Atmospheric Administration","keywords":"Precipitation; Environmental science; Snow; Precipitation types; Meteorology; Rain and snow mixed; Streamflow; Climatology; Rain gauge; Drainage basin; Geology; Geography","score_opus":0.02685085856320628,"score_gpt":0.2473801122693746,"score_spread":0.22052925370616833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892100124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998195,0.00040879712,0.00014160128,0.00080808025,0.000096774434,0.00014734354,0.000012889664,0.000017915025,0.00017160038],"genre_scores_gemma":[0.9737951,0.00020011772,0.025767801,0.00009739252,0.00007288141,1.4816656e-7,0.000009529835,0.000002533687,0.000054471024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991113,0.00010517961,0.00027767668,0.00017739531,0.00015732255,0.00017115606],"domain_scores_gemma":[0.9992857,0.00017167581,0.00018993785,0.00023212013,0.00006987182,0.00005069601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051504566,0.00008331339,0.00020089175,0.0000145687545,0.000099588244,0.000032049702,0.00035025217,0.000086759595,0.00028329462],"category_scores_gemma":[0.0002828981,0.0000554034,0.000013704641,0.00035395275,0.00022822118,0.00021433116,0.000038793616,0.00018157152,0.000011708307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001671591,0.00011702831,0.7391948,0.000020965526,0.000056718778,0.000035113146,0.00080754247,0.000097345095,0.0001753728,0.000051944546,0.00072453415,0.25855148],"study_design_scores_gemma":[0.0003819629,0.0012709803,0.92273927,0.000020434136,0.000032152504,0.00011988382,0.00023273999,0.06576186,0.0000015233197,0.008888613,0.00047710896,0.000073447045],"about_ca_topic_score_codex":0.00007705933,"about_ca_topic_score_gemma":0.0005128153,"teacher_disagreement_score":0.25847805,"about_ca_system_score_codex":0.0000039059787,"about_ca_system_score_gemma":0.00004264254,"threshold_uncertainty_score":0.31018773},"labels":[],"label_agreement":null},{"id":"W2894143788","doi":"10.1175/jtech-d-17-0180.1","title":"The Wire Flyer Towed Profiling System","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Division of Ocean Sciences","keywords":"Profiling (computer programming); Remote sensing; Marine engineering; Geology; Environmental science; Propulsion; On board; Sampling (signal processing); Computer science; Aerospace engineering; Engineering; Telecommunications","score_opus":0.004845386486670505,"score_gpt":0.19070152284754213,"score_spread":0.18585613636087162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894143788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9627506,0.008345738,0.025989806,0.0006622841,0.00037172437,0.00010059088,3.6377878e-7,0.00023757557,0.001541311],"genre_scores_gemma":[0.9929993,0.0004063641,0.006348744,0.000014475205,0.00013491717,0.0000017720546,5.239634e-8,0.0000149193465,0.000079421305],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932945,0.00001964124,0.0003508959,0.00005585807,0.000088036744,0.00015609717],"domain_scores_gemma":[0.9994683,0.000030925887,0.00012869234,0.00021745334,0.000119058495,0.00003556177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023291547,0.00008524377,0.00016775764,0.0000081969965,0.00016444657,0.00003674689,0.00032358832,0.00010676079,0.00000354732],"category_scores_gemma":[0.0000048988063,0.000053030257,0.00003660045,0.00020875671,0.0001290937,0.000063639556,0.000054899927,0.00021100421,0.000007652553],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001851359,0.00008828086,0.020442767,0.0004578653,0.0013222215,0.00009389985,0.002258012,0.00027300243,0.10003671,0.062810145,0.005966557,0.8060654],"study_design_scores_gemma":[0.0027781555,0.001717443,0.0044196905,0.00073176617,0.00019164283,0.00637539,0.038781986,0.105128415,0.07869209,0.0046901326,0.7556271,0.00086618646],"about_ca_topic_score_codex":0.0000010592422,"about_ca_topic_score_gemma":0.0000014804888,"teacher_disagreement_score":0.8051992,"about_ca_system_score_codex":0.00004860237,"about_ca_system_score_gemma":0.000017861543,"threshold_uncertainty_score":0.2162511},"labels":[],"label_agreement":null},{"id":"W2894570351","doi":"10.1175/jtech-d-18-0126.1","title":"Automated Glider Tracking of a California Undercurrent Eddy Using the Extended Kalman Filter","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Division of Ocean Sciences; Joint Institute for the Study of the Atmosphere and Ocean; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Glider; Eddy; Eddy covariance; Sampling (signal processing); Position (finance); Geology; Tracking (education); Meteorology; Filter (signal processing); Geodesy; Environmental science; Marine engineering; Computer science; Geography; Turbulence; Engineering; Computer vision","score_opus":0.01395128887632995,"score_gpt":0.24399335889680665,"score_spread":0.2300420700204767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894570351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98705536,0.0052925036,0.0066288547,0.0003987625,0.0003245577,0.000081787875,0.000007819444,0.00007788836,0.00013244274],"genre_scores_gemma":[0.98473155,0.0003991448,0.014600756,0.00012344852,0.00012738274,9.511518e-8,7.2166614e-7,0.0000063445705,0.000010574798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872875,0.00004460684,0.0005397523,0.0001614703,0.0002317,0.00029372002],"domain_scores_gemma":[0.99886376,0.00008782867,0.000575156,0.00017032596,0.00022771367,0.00007522544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031633495,0.00016819694,0.00034534148,0.000015881318,0.00020467816,0.0000312498,0.00036992843,0.00014985341,0.0004220506],"category_scores_gemma":[0.00008980125,0.00009940954,0.00008771241,0.00082175416,0.0007130758,0.00017688925,0.000032022872,0.0002784149,0.0000055405667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034212047,0.00022537768,0.65291125,0.00018542749,0.00057332736,0.00012360477,0.0010368369,0.0010674007,0.0011670877,0.00064627745,0.0030639619,0.33865735],"study_design_scores_gemma":[0.0032852911,0.005018493,0.5178809,0.00074211584,0.0007796728,0.005708504,0.013332045,0.39653203,0.0038581472,0.02469679,0.027060667,0.0011053442],"about_ca_topic_score_codex":0.000048208527,"about_ca_topic_score_gemma":0.00003424075,"teacher_disagreement_score":0.39546463,"about_ca_system_score_codex":0.0000069520847,"about_ca_system_score_gemma":0.00012804172,"threshold_uncertainty_score":0.4621158},"labels":[],"label_agreement":null},{"id":"W2898008832","doi":"10.1175/jtech-d-18-0083.1","title":"EarthCARE’s Broadband Radiometer: Uncertainties Associated with Cloudy Atmospheres","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"European Space Agency","keywords":"Remote sensing; Radiometer; Environmental science; Radiance; Shortwave; Nadir; Radiative transfer; Spectroradiometer; Longwave; Meteorology; Satellite; Atmospheric sciences; Physics; Geology; Optics; Reflectivity","score_opus":0.005075459935488372,"score_gpt":0.20133824295687483,"score_spread":0.19626278302138644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898008832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937394,0.00086241734,0.002742891,0.0005971557,0.00021025758,0.00011176177,0.0000011784172,0.00007682473,0.0016580853],"genre_scores_gemma":[0.9843379,0.00021188922,0.014049292,0.00018556764,0.000111606925,0.0000020085924,3.3111584e-7,0.00003118873,0.0010702026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836594,0.00005191526,0.00047080388,0.00029247502,0.00037117294,0.00044770836],"domain_scores_gemma":[0.99888927,0.000063578744,0.0005455981,0.00026032983,0.00009107889,0.00015015206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024125684,0.00026343393,0.00047828996,0.0000017512682,0.00022920984,0.000041170915,0.00040469365,0.00025730586,0.0013122578],"category_scores_gemma":[0.00012123241,0.00018397106,0.000081895654,0.0009509947,0.0014836218,0.00021670802,0.00018510838,0.00036206466,0.000029454373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034596113,0.00023591633,0.9013783,0.000009726812,0.00037758463,0.00023198326,0.00074447115,0.00012771755,0.0016941336,0.0006603957,0.008790074,0.08540373],"study_design_scores_gemma":[0.0074278703,0.020890731,0.85604,0.00039202115,0.00060957775,0.0039895996,0.008514044,0.0038334758,0.0034431634,0.008895225,0.084151044,0.0018132564],"about_ca_topic_score_codex":0.000054251206,"about_ca_topic_score_gemma":0.00006715995,"teacher_disagreement_score":0.08359048,"about_ca_system_score_codex":0.00014666044,"about_ca_system_score_gemma":0.000049714752,"threshold_uncertainty_score":0.99960065},"labels":[],"label_agreement":null},{"id":"W2911841272","doi":"10.1175/jtech-d-18-0142.1","title":"On Producing Reliable and Affordable Numerical Weather Forecasts on Public Cloud-Computing Infrastructure","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; BC Hydro","keywords":"Cloud computing; Weather Research and Forecasting Model; Computer science; Numerical weather prediction; Weather forecasting; Global Forecast System; Model output statistics; Meteorology; Database; Real-time computing; Operating system","score_opus":0.006922887861917739,"score_gpt":0.1962085976253638,"score_spread":0.18928570976344605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911841272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99516225,0.0006173144,0.00058036845,0.0009713029,0.0002980568,0.000105660925,0.0000011599117,0.000029100313,0.0022347816],"genre_scores_gemma":[0.99246514,0.000060058203,0.0069173872,0.00031370428,0.00008782349,8.1871626e-8,8.2738836e-7,0.000004618911,0.00015035892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906194,0.000024713121,0.00028095336,0.00021282122,0.00015166675,0.00026791196],"domain_scores_gemma":[0.9993481,0.00014512219,0.00022319605,0.00014024181,0.000045554927,0.000097802884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026518214,0.00013164655,0.00029099392,0.000027962598,0.00012524471,0.000039187544,0.00015130514,0.0001498983,0.00071948953],"category_scores_gemma":[0.00011751335,0.00008443259,0.00003647233,0.00032164174,0.0000725388,0.000114622155,0.000022923172,0.00040950012,0.000019910358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019211709,0.000049761285,0.793144,0.000024747156,0.00006203196,0.000023965005,0.0001576301,0.028270569,0.000052148236,0.010666081,0.00085007196,0.1665069],"study_design_scores_gemma":[0.0019991659,0.008093232,0.704398,0.00011683658,0.000045716984,0.0005400606,0.000689504,0.14514337,0.000048561542,0.12055911,0.017900845,0.00046559668],"about_ca_topic_score_codex":0.0000074531727,"about_ca_topic_score_gemma":0.0000013777947,"teacher_disagreement_score":0.16604131,"about_ca_system_score_codex":0.000008779156,"about_ca_system_score_gemma":0.000032005693,"threshold_uncertainty_score":0.7877906},"labels":[],"label_agreement":null},{"id":"W2924309987","doi":"10.1175/jtech-d-18-0112.1","title":"Evaluation of Catch Efficiency Transfer Functions for Unshielded and Single-Alter-Shielded Solid Precipitation Measurements","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Environment and Climate Change Canada; Centre de Géomatique du Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Environment and Climate Change Canada; Hydro-Québec","keywords":"Shielded cable; Precipitation; Environmental science; Gauge (firearms); Meteorology; Materials science; Computer science; Physics; Telecommunications","score_opus":0.03685146274412393,"score_gpt":0.25442711088939474,"score_spread":0.2175756481452708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924309987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798439,0.0018506577,0.017280322,0.00029759176,0.00022035942,0.00024938883,0.000004415017,0.000010579556,0.00024278376],"genre_scores_gemma":[0.99744487,0.00007919163,0.002378501,0.000021021924,0.0000266379,0.0000010196791,0.0000042255756,0.0000030075735,0.000041505227],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99876785,0.00007823976,0.00041468072,0.00014020178,0.0004639886,0.00013502837],"domain_scores_gemma":[0.99894613,0.000092245304,0.00023092657,0.00008644948,0.00059913925,0.00004513797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014785049,0.00009437841,0.0002477673,0.000050918192,0.00006924495,0.00001815834,0.00009982669,0.00010433012,0.00020864434],"category_scores_gemma":[0.0002076045,0.000075757984,0.00006497031,0.0003372454,0.00006339525,0.0001914902,0.0000040502787,0.00009842326,0.00000228622],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002572168,0.00017120762,0.4742074,0.00010375245,0.00045744886,5.4814967e-7,0.0010073199,0.005429542,0.029951531,0.000108958,0.00013350697,0.48817158],"study_design_scores_gemma":[0.014217581,0.011046624,0.7056329,0.00043314166,0.004354408,0.000118082295,0.011934604,0.20822431,0.023863453,0.018537827,0.00074722065,0.0008898554],"about_ca_topic_score_codex":0.000011098983,"about_ca_topic_score_gemma":0.00006307619,"teacher_disagreement_score":0.4872817,"about_ca_system_score_codex":0.0000125633915,"about_ca_system_score_gemma":0.00008829644,"threshold_uncertainty_score":0.3089321},"labels":[],"label_agreement":null},{"id":"W2951544225","doi":"10.1175/jtech-d-19-0030.1","title":"Observing Polar Regions from Space: Comparison between Highly Elliptical Orbit and Medium Earth Orbit Constellations","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Geostationary orbit; Satellite; Constellation; Medium Earth orbit; Satellite constellation; Latitude; Zenith; Remote sensing; Polar; Polar orbit; Orbit (dynamics); Geosynchronous orbit; Meteorology; Computer science; Environmental science; Sun-synchronous orbit; Spacecraft; Geodesy; Geology; Physics; Aerospace engineering; Astronomy","score_opus":0.006721813713325464,"score_gpt":0.2212793928929951,"score_spread":0.21455757917966964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951544225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98185647,0.00092659856,0.014167218,0.0022121437,0.00020198067,0.000100557554,0.000019177045,0.000031887557,0.00048398165],"genre_scores_gemma":[0.98308116,0.0000819853,0.016454104,0.000023690478,0.00017617045,4.1113825e-7,0.0000062181794,0.000018244464,0.00015801316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989558,0.00003246618,0.00041566117,0.0001957772,0.00014871843,0.00025161207],"domain_scores_gemma":[0.99898314,0.00025048916,0.00033442554,0.0002040365,0.000091132424,0.00013674785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011679824,0.00017611143,0.0005270748,0.00002319522,0.00011519289,0.00004987434,0.00018097919,0.00019110586,0.00012869007],"category_scores_gemma":[0.000020339017,0.00015262704,0.00007910107,0.0002559533,0.00017247688,0.00013854993,0.00011434092,0.00062304013,0.00001597527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015172302,0.000040003397,0.97921425,0.000006671202,0.00018422375,0.0000054254992,0.00015909532,0.000041043193,0.00050414226,0.017480932,0.00029178837,0.00205728],"study_design_scores_gemma":[0.0055546076,0.0015018828,0.8287076,0.00040139369,0.0011312917,0.00020296447,0.014923983,0.036875006,0.0014931468,0.059539266,0.04845697,0.001211896],"about_ca_topic_score_codex":0.000065047265,"about_ca_topic_score_gemma":0.000007975643,"teacher_disagreement_score":0.15050663,"about_ca_system_score_codex":0.000017257458,"about_ca_system_score_gemma":0.000090785215,"threshold_uncertainty_score":0.622395},"labels":[],"label_agreement":null},{"id":"W2971516066","doi":"10.1175/jtech-d-19-0021.1","title":"SwathDop: Multibeam Pulse-Coherent Doppler Sonar for Scanning 2D Velocity Sections near the Sediment–Water Interface","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Atlantic Canada Opportunities Agency","keywords":"Sonar; Bedform; Geology; Azimuth; Doppler effect; Acoustics; Sediment transport; Acoustic Doppler current profiler; Remote sensing; Calibration; Optics; Sediment; Physics; Geomorphology","score_opus":0.005399499085784448,"score_gpt":0.21421019772551955,"score_spread":0.20881069863973512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971516066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98999995,0.00054263923,0.0061768903,0.0025558649,0.0002380321,0.00026396808,0.0000017199369,0.00003664066,0.00018430321],"genre_scores_gemma":[0.99292696,0.0000751969,0.0061657852,0.00025987704,0.00003662671,0.0000080931695,6.757754e-7,0.000014531232,0.00051227777],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998956,0.000020568294,0.00034290666,0.00021157859,0.00014789136,0.00032105492],"domain_scores_gemma":[0.9995591,0.000051047213,0.00017290731,0.00013195278,0.000027460095,0.000057557692],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032649477,0.00015391484,0.0002471758,0.000007637018,0.00031488886,0.000027909759,0.00031695212,0.00019068719,0.0013715771],"category_scores_gemma":[0.000012207403,0.000090017376,0.00007988036,0.0001722812,0.00041340874,0.00019221786,0.00009815,0.00039343676,0.000056942055],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015148907,0.0013162408,0.6552491,0.00024126322,0.001265241,0.00008939901,0.012087039,0.04752728,0.12546353,0.0008023529,0.018006334,0.1364373],"study_design_scores_gemma":[0.008346923,0.0060586846,0.11753905,0.00018879819,0.00064832956,0.0022914235,0.0054092756,0.038967695,0.09000637,0.008536988,0.7207228,0.0012836702],"about_ca_topic_score_codex":0.00001781642,"about_ca_topic_score_gemma":0.000011663927,"teacher_disagreement_score":0.70271647,"about_ca_system_score_codex":0.00006859432,"about_ca_system_score_gemma":0.000026078249,"threshold_uncertainty_score":0.9995413},"labels":[],"label_agreement":null},{"id":"W2971716901","doi":"10.1175/jtech-d-18-0237.1","title":"The Effect of Measurement Limitations on High-Frequency Radar-Derived Spectral Energy Fluxes","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy cascade; Cascade; Environmental science; Robustness (evolution); Turbulence; Amplitude; Energy flux; Physics; Computational physics; Remote sensing; Meteorology; Statistical physics; Geology; Optics","score_opus":0.005541458639712287,"score_gpt":0.17142663562031818,"score_spread":0.1658851769806059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971716901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98664516,0.010583073,0.00041405275,0.0008117259,0.0004336244,0.00009365821,0.000002177959,0.000027333057,0.0009891783],"genre_scores_gemma":[0.9942456,0.0028042723,0.0027862769,0.000054235396,0.000055026805,3.55341e-7,7.532985e-7,0.000005589723,0.00004789974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986891,0.000072464914,0.00043230172,0.00015719928,0.0003852695,0.00026365047],"domain_scores_gemma":[0.998789,0.00036076593,0.00045835302,0.0001897745,0.00013237733,0.00006972325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043599997,0.00017299679,0.00037137186,0.000013494982,0.00015080639,0.000025141948,0.0003669155,0.0001216147,0.00011146557],"category_scores_gemma":[0.00017047337,0.00009724258,0.0001022504,0.00053839217,0.0002641242,0.00012452014,0.000014195961,0.0002469104,0.000006570504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005975857,0.00006949567,0.575444,0.000089220404,0.00046766564,0.00004173589,0.000090700094,0.00047037378,0.0028690253,0.008899675,0.0006766812,0.4102839],"study_design_scores_gemma":[0.0054845423,0.031038338,0.88352424,0.00045412642,0.00043304675,0.000578613,0.0022228176,0.0015251649,0.022493731,0.04069798,0.010715024,0.000832358],"about_ca_topic_score_codex":0.000051490264,"about_ca_topic_score_gemma":0.000052181767,"teacher_disagreement_score":0.4094515,"about_ca_system_score_codex":0.00001038905,"about_ca_system_score_gemma":0.000094801595,"threshold_uncertainty_score":0.3965437},"labels":[],"label_agreement":null},{"id":"W2972520970","doi":"10.1175/jtech-d-19-0015.1","title":"Use of Oceanic Reanalysis to Improve Estimates of Extreme Storm Surge","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Hindcast; Tide gauge; Storm surge; Climatology; Barotropic fluid; Environmental science; Baroclinity; Storm; Storm track; Sea level; Surge; Oceanography; Meteorology; Geology; Geography","score_opus":0.016717202585047438,"score_gpt":0.22240469093748713,"score_spread":0.2056874883524397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972520970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718,0.0014031827,0.0007122095,0.000404425,0.000119674565,0.00009231542,0.000011817452,0.0000122298425,0.0000641371],"genre_scores_gemma":[0.9860419,0.00037672836,0.013444819,0.0000322343,0.000026375112,1.0339602e-7,0.0000010687601,0.0000042295314,0.000072563314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861753,0.000030353816,0.00058495044,0.00017475839,0.00031618134,0.0002762163],"domain_scores_gemma":[0.99886376,0.00024268088,0.00033357667,0.0002252904,0.00018417764,0.00015050464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001748404,0.00012655059,0.00056367845,0.00005274119,0.000030590614,0.000015430913,0.00029803763,0.00014908936,0.00082516874],"category_scores_gemma":[0.00024747074,0.00008586845,0.0001302828,0.0007003819,0.00016102994,0.00017677617,0.000046810866,0.00026978872,0.000017048462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001854991,0.000038576112,0.9170919,0.0000475931,0.00009723982,0.000017896897,0.000022553526,0.00014071225,0.003967051,0.00034374284,0.00012910012,0.07791814],"study_design_scores_gemma":[0.00038442967,0.0020682798,0.9881547,0.000047459926,0.000070356255,0.00007104011,0.00020409656,0.003511319,0.001629624,0.0015969177,0.0021314197,0.00013037685],"about_ca_topic_score_codex":0.0004080129,"about_ca_topic_score_gemma":0.00012673908,"teacher_disagreement_score":0.077787764,"about_ca_system_score_codex":0.000007818238,"about_ca_system_score_gemma":0.0000656338,"threshold_uncertainty_score":0.9035019},"labels":[],"label_agreement":null},{"id":"W2980295811","doi":"10.1175/jtech-d-19-0088.1","title":"Fuzzy Logic Algorithms to Identify Birds, Precipitation, and Ground Clutter in S-Band Radar Data Using Polarimetric and Nonpolarimetric Variables","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Government of Canada","keywords":"Radar; Polarimetry; Remote sensing; Clutter; Algorithm; Computer science; Fuzzy logic; Precipitation; Geology; Meteorology; Artificial intelligence; Scattering; Physics; Telecommunications","score_opus":0.02739874285807071,"score_gpt":0.2725020674222511,"score_spread":0.24510332456418038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980295811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97970647,0.015146313,0.004290307,0.0004248484,0.00018734859,0.00013727686,0.0000129483915,0.000013887114,0.00008061168],"genre_scores_gemma":[0.9461341,0.0008869158,0.052738544,0.00015052722,0.00004963683,8.178075e-8,0.0000066072053,0.0000054879074,0.000028120177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986083,0.000076467244,0.0004826314,0.00031799357,0.00026942889,0.00024521042],"domain_scores_gemma":[0.9991061,0.00016390206,0.00030117139,0.00021262074,0.000104571904,0.00011164578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010738596,0.0001545362,0.00038432685,0.0003030274,0.00009413139,0.00011515801,0.00031395044,0.000159128,0.00009477882],"category_scores_gemma":[0.0002646287,0.00012487888,0.000024919123,0.0021578022,0.00008018479,0.0006402181,0.000069760026,0.0002668577,0.0000068217996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003421795,0.000020808806,0.9578554,0.000023429602,0.00007471757,0.000012593176,0.00008026902,0.00010022217,0.0008094567,0.00006513212,0.000063042084,0.040860724],"study_design_scores_gemma":[0.0008088051,0.00033600233,0.98808664,0.000045474742,0.00011269527,0.00016805987,0.00061548885,0.004679878,0.000033765242,0.004447946,0.00048536007,0.00017989585],"about_ca_topic_score_codex":0.0006292691,"about_ca_topic_score_gemma":0.00011397097,"teacher_disagreement_score":0.048448235,"about_ca_system_score_codex":0.0000144409105,"about_ca_system_score_gemma":0.00006413102,"threshold_uncertainty_score":0.5092413},"labels":[],"label_agreement":null},{"id":"W2990959237","doi":"10.1175/jtech-d-19-0128.1","title":"Directional Surface Wave Spectra from Point Measurements of Height and Slope","year":2019,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Spectral line; Buoy; Deconvolution; Computational physics; Wavelet; Geology; Wind wave; Wavenumber; Physics; Remote sensing; Optics; Computer science; Artificial intelligence","score_opus":0.008660792134782944,"score_gpt":0.17930049205904278,"score_spread":0.17063969992425984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990959237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171865,0.0057184384,0.00010530796,0.0004587541,0.00037006513,0.00005452612,0.0000046394157,0.000011336059,0.0015583021],"genre_scores_gemma":[0.9670539,0.0006387221,0.032116614,0.000040465908,0.0000532339,6.099878e-10,0.0000010248548,0.0000036576514,0.000092368115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917835,0.000025376436,0.00031194033,0.00013959495,0.00019079931,0.00015392649],"domain_scores_gemma":[0.9994283,0.000058560727,0.00028324014,0.00009174078,0.00007285923,0.000065328735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019255454,0.00010581376,0.00029943875,0.000013567052,0.00004591287,0.000014249597,0.000080614846,0.00011605527,0.0004466532],"category_scores_gemma":[0.00002290351,0.00007496553,0.0000468917,0.0001741421,0.00011896438,0.0001120426,0.000017054734,0.00020822248,0.000005383439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021903554,0.000049956703,0.8497228,0.000036709534,0.00030395662,0.00006791672,0.00023279907,0.00048775473,0.007629629,0.000105054765,0.00031442026,0.14082998],"study_design_scores_gemma":[0.001606588,0.00128209,0.9664392,0.00017085698,0.00010019438,0.0011858341,0.0013020037,0.012100369,0.0067113116,0.0067261592,0.0020842473,0.00029115516],"about_ca_topic_score_codex":0.00008144591,"about_ca_topic_score_gemma":0.000020313484,"teacher_disagreement_score":0.14053883,"about_ca_system_score_codex":0.000006263742,"about_ca_system_score_gemma":0.000040198927,"threshold_uncertainty_score":0.48905393},"labels":[],"label_agreement":null},{"id":"W3001873343","doi":"10.1175/jtech-d-19-0083.1","title":"Dissipation of Turbulent Kinetic Energy in the Oscillating Bottom Boundary Layer of a Large Shallow Lake","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence kinetic energy; Dissipation; Turbulence; Anisotropy; Kinetic energy; Boundary layer; Computational physics; Mechanics; Physics; Diffusion; Inertial frame of reference; Geology; Thermodynamics; Classical mechanics; Optics","score_opus":0.0067203453622472304,"score_gpt":0.21133743428139676,"score_spread":0.20461708891914954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001873343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99321383,0.000976019,0.002213987,0.003262888,0.00002100398,0.00003868195,0.0000010667203,0.0000066246375,0.0002658957],"genre_scores_gemma":[0.99781543,0.0002694506,0.0014782759,0.00040854947,0.000013131873,7.5865347e-7,5.4174217e-7,0.000004466266,0.0000093738245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918234,0.000030323698,0.00039484553,0.000101032805,0.00016273237,0.00012873554],"domain_scores_gemma":[0.9995475,0.000037378762,0.00030133937,0.00007313572,0.000012636329,0.000028015807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021264574,0.00007742533,0.00021722198,0.000007449673,0.000035019384,0.0000029479677,0.0002153607,0.00011143255,0.00026433019],"category_scores_gemma":[0.000039716004,0.000051804378,0.0000398694,0.0003716487,0.00019619204,0.000079933925,0.000036992493,0.00020313203,6.6486547e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018498096,0.00029148255,0.9633546,0.00007488285,0.000054376545,0.00010897262,0.0030345775,0.0010304886,0.011246195,0.0015185607,0.00031234027,0.018788544],"study_design_scores_gemma":[0.0043995595,0.0047327178,0.8617842,0.00021752805,0.00025498352,0.0005119209,0.004666765,0.01679981,0.009261734,0.009444311,0.08744017,0.00048626846],"about_ca_topic_score_codex":0.0000073918677,"about_ca_topic_score_gemma":0.00005090322,"teacher_disagreement_score":0.10157037,"about_ca_system_score_codex":0.0000095025625,"about_ca_system_score_gemma":0.000019424944,"threshold_uncertainty_score":0.28942302},"labels":[],"label_agreement":null},{"id":"W3013866926","doi":"10.1175/jtech-d-19-0054.1","title":"Scaling the Laws of Thermal Imaging–Based Whale Detection","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"LGL (Canada)","funders":"Office of Naval Research; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; European Synchrotron Radiation Facility","keywords":"Marine mammal; Whale; Sonar; Underwater; Environmental science; Marine life; Oceanography; Remote sensing; Unexploded ordnance; Prospecting; Explosive detection; Marine engineering; Marine mammals and sonar; Underwater acoustics; Geology; Fishery; Explosive material; Mining engineering; Geography; Engineering","score_opus":0.00635537461309837,"score_gpt":0.19342065655129462,"score_spread":0.18706528193819624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013866926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99021864,0.0017724362,0.0027269453,0.0044452487,0.000043553737,0.00006075189,2.731853e-7,0.000018110284,0.0007140635],"genre_scores_gemma":[0.99676526,0.00015510713,0.0024072423,0.00062764896,0.000031319287,5.788506e-7,1.9156055e-8,0.000006708769,0.000006145072],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99936867,0.000023110764,0.00025572508,0.000095314914,0.00013751104,0.00011965579],"domain_scores_gemma":[0.9995413,0.000041365514,0.00028021535,0.00008392654,0.000017188164,0.00003603375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015626579,0.00007852218,0.00018068339,0.000002447079,0.000073729156,0.0000065019913,0.00022442269,0.00004216053,0.00025429516],"category_scores_gemma":[0.00009483961,0.000049828177,0.000057359437,0.0003112296,0.00024756978,0.0000730481,0.00019348244,0.00019872544,0.0000061247893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012420029,0.000065270404,0.22870027,0.000036911064,0.000057477442,0.00003460359,0.00029732037,0.0005130271,0.028251708,0.00015112037,0.0006960661,0.741072],"study_design_scores_gemma":[0.0029237198,0.0025695483,0.7580002,0.00010731604,0.0003424211,0.00047741918,0.0042201495,0.056976687,0.03856183,0.0016846283,0.13355911,0.00057695835],"about_ca_topic_score_codex":0.000042052772,"about_ca_topic_score_gemma":0.0000120867435,"teacher_disagreement_score":0.7404951,"about_ca_system_score_codex":0.000029059618,"about_ca_system_score_gemma":0.000008369502,"threshold_uncertainty_score":0.27843535},"labels":[],"label_agreement":null},{"id":"W3016654077","doi":"10.1175/jtech-d-19-0145.1","title":"EcoCTD for Profiling Oceanic Physical–Biological Properties from an Underway Ship","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dynamic Systems Analysis (Canada)","funders":"Office of Naval Research Global; Woods Hole Oceanographic Institution","keywords":"Hydrography; Environmental science; Remote sensing; Profiling (computer programming); Oceanography; Software deployment; Sampling (signal processing); Computer science; Meteorology; Geology; Telecommunications; Geography","score_opus":0.026217514350416752,"score_gpt":0.21401283361383505,"score_spread":0.1877953192634183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016654077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945072,0.0015208946,0.0019134143,0.0014387389,0.00012412574,0.00017097025,0.000016420907,0.00005889832,0.0002493494],"genre_scores_gemma":[0.9931743,0.0001336954,0.0058760475,0.00038962447,0.00039290937,6.7878756e-7,0.0000064030996,0.0000056715803,0.000020676818],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903023,0.000040218045,0.0003469724,0.00022723716,0.000114409384,0.00024092017],"domain_scores_gemma":[0.9993478,0.00007719006,0.00025124667,0.00010108057,0.00007065699,0.00015201383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013848698,0.00015129513,0.00040017013,0.0000081467315,0.00009781343,0.000040995285,0.00030722402,0.00014458533,0.00012222056],"category_scores_gemma":[0.00010685238,0.00009674988,0.000084408326,0.00019914811,0.00009930732,0.00019510275,0.0000336376,0.0002695911,0.000009170255],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014966124,0.00024258808,0.5375416,0.00022007042,0.0003901532,0.00013285437,0.0010172238,0.0005686573,0.0061141974,0.0034337936,0.00090486935,0.44793737],"study_design_scores_gemma":[0.006018126,0.032942966,0.18167433,0.00024076535,0.0004297754,0.0007077786,0.022521257,0.6264899,0.009246523,0.0790632,0.03882339,0.0018420484],"about_ca_topic_score_codex":0.00003619162,"about_ca_topic_score_gemma":0.000028734488,"teacher_disagreement_score":0.6259212,"about_ca_system_score_codex":0.0000045958877,"about_ca_system_score_gemma":0.00006636608,"threshold_uncertainty_score":0.39453456},"labels":[],"label_agreement":null},{"id":"W3074297675","doi":"10.1175/jtech-d-20-0061.1","title":"Separating Cloud and Drizzle Signals in Radar Doppler Spectra Using a Parametric Time Domain Method","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; National Research Council Canada","funders":"Biological and Environmental Research","keywords":"Drizzle; Environmental science; Radar; Meteorology; Remote sensing; Precipitation; Physics; Geology; Computer science","score_opus":0.0088051347529116,"score_gpt":0.24071268120952052,"score_spread":0.23190754645660894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3074297675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9543839,0.0012296118,0.04265646,0.0012675616,0.00004491199,0.00012663234,6.430634e-7,0.000028993163,0.00026125743],"genre_scores_gemma":[0.663501,0.00013831517,0.33594614,0.00031234368,0.000059261623,6.510677e-7,9.0986674e-8,0.000016507967,0.000025640147],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847835,0.00008427974,0.0005659426,0.00030291174,0.00022714457,0.00034139212],"domain_scores_gemma":[0.9991841,0.00010021913,0.00042061278,0.00011702259,0.0000122338715,0.00016584393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045127823,0.00020595232,0.0005189521,0.0000034983304,0.00009571568,0.000029582643,0.00023634477,0.00020400224,0.0005921505],"category_scores_gemma":[0.000103635946,0.00017169451,0.00006397805,0.001245477,0.00023760626,0.00016831748,0.00022803096,0.00045932387,0.000012392254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000600077,0.00048515014,0.5820851,0.00009939939,0.00032441996,0.0015143896,0.0042967396,0.012597432,0.2857623,0.0015938488,0.0061586844,0.10448251],"study_design_scores_gemma":[0.017439364,0.01102312,0.13915531,0.0004828854,0.00077118387,0.015550958,0.021479785,0.67419624,0.011322182,0.06387992,0.040392563,0.004306484],"about_ca_topic_score_codex":0.000038464375,"about_ca_topic_score_gemma":0.0000029049197,"teacher_disagreement_score":0.6615988,"about_ca_system_score_codex":0.00010571263,"about_ca_system_score_gemma":0.00003273189,"threshold_uncertainty_score":0.7001499},"labels":[],"label_agreement":null},{"id":"W3079614457","doi":"10.1175/jtech-d-19-0165.1","title":"Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quantitative precipitation estimation; Radar; Environmental science; Precipitation; Meteorology; Weather radar; Remote sensing; Computer science; Geology; Geography","score_opus":0.0476090217402295,"score_gpt":0.2664382059152787,"score_spread":0.21882918417504924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3079614457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9225893,0.0019372762,0.032059588,0.042759053,0.0001152414,0.00022561365,0.000027141377,0.000027786748,0.00025898215],"genre_scores_gemma":[0.99453396,0.00008222679,0.00462554,0.000713136,0.000032033997,3.6416552e-7,0.000009356207,0.0000015954254,0.0000018088559],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987985,0.00029628194,0.00039729857,0.00012941177,0.00027555515,0.00010294128],"domain_scores_gemma":[0.9987127,0.0006191187,0.000405239,0.00016686153,0.00006769482,0.000028359793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015597622,0.000081956314,0.00020093168,0.000013911655,0.00010590871,0.000045174053,0.00049894105,0.000053939093,0.0000466842],"category_scores_gemma":[0.00070822285,0.00004078014,0.000032127457,0.00048885355,0.00008366835,0.00023411617,0.000010330831,0.00023293206,0.000012662893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014844612,0.00016446083,0.6352199,0.00019756364,0.0007758033,0.00007685388,0.008672154,0.019750206,0.00058801856,0.07518782,0.010573747,0.24730907],"study_design_scores_gemma":[0.0012801217,0.0010224585,0.35374555,0.000092723625,0.00016639967,0.000031927542,0.032761604,0.6053048,0.000032203945,0.00430411,0.0010874328,0.00017067858],"about_ca_topic_score_codex":0.000028152901,"about_ca_topic_score_gemma":0.000046050372,"teacher_disagreement_score":0.5855546,"about_ca_system_score_codex":0.000006062496,"about_ca_system_score_gemma":0.000034885936,"threshold_uncertainty_score":0.1662966},"labels":[],"label_agreement":null},{"id":"W3084762522","doi":"10.1175/jtech-d-20-0013.1","title":"Evaluating the Leeway Coefficient of Ocean Drifters Using Operational Marine Environmental Prediction Systems","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Response Biomedical (Canada); Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"Norges Forskningsråd; Government of Canada","keywords":"Drifter; Environmental science; Inertial frame of reference; Trajectory; Meteorology; Ocean current; Scale (ratio); Geology; Climatology; Mathematics; Physics; Lagrangian; Applied mathematics; Classical mechanics","score_opus":0.01773133790799325,"score_gpt":0.22560408695025716,"score_spread":0.2078727490422639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084762522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898412,0.0053522927,0.0037010834,0.00064846635,0.00026115062,0.0001099201,0.000012319357,0.000018288767,0.00005523276],"genre_scores_gemma":[0.99378693,0.00047990534,0.0053960592,0.00020902463,0.000108716165,9.213145e-8,0.000003249694,0.000004450323,0.000011579672],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988265,0.00004991067,0.000499849,0.00014527241,0.00031831535,0.000160123],"domain_scores_gemma":[0.9992659,0.000067577304,0.00045829604,0.00008233272,0.00004834891,0.000077514516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031141134,0.00012241631,0.00024977268,0.000007163139,0.000110481385,0.00002031339,0.00023274812,0.00008869368,0.00026366048],"category_scores_gemma":[0.000062636835,0.00007797192,0.000056497414,0.00028186332,0.00029057695,0.00015329936,0.000038631235,0.0002286148,0.0000011559918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016116136,0.000049422244,0.88498217,0.00006281393,0.00014722695,0.000017559885,0.0005156188,0.08949025,0.0009289776,0.00019763656,0.00046306034,0.022984115],"study_design_scores_gemma":[0.0008369291,0.002425148,0.095030375,0.000049273684,0.0001440934,0.0005691179,0.004998184,0.893044,0.000118315416,0.00015838853,0.0024666293,0.000159558],"about_ca_topic_score_codex":0.000021025759,"about_ca_topic_score_gemma":7.064565e-7,"teacher_disagreement_score":0.80355376,"about_ca_system_score_codex":0.000011994789,"about_ca_system_score_gemma":0.0001060976,"threshold_uncertainty_score":0.31796026},"labels":[],"label_agreement":null},{"id":"W3088313224","doi":"10.1175/jtech-d-19-0170.1","title":"A 1D Var Retrieval of Relative Humidity Using the ERA5 Dataset for the Assimilation of Raman Lidar Measurements","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Space Agency","keywords":"Relative humidity; Lidar; Environmental science; Humidity; Water vapor; Boundary layer; Data assimilation; Atmospheric sciences; Meteorology; Remote sensing; Geology; Physics","score_opus":0.04177828437456183,"score_gpt":0.2682826478869416,"score_spread":0.2265043635123798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088313224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9160128,0.0007200473,0.080089435,0.0027271085,0.00009193931,0.00026863386,0.00003570916,0.000007361452,0.000046939185],"genre_scores_gemma":[0.9820772,0.000116255,0.017575055,0.00017255968,0.000040101375,6.507628e-7,0.0000015318732,0.000009550769,0.0000071377162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988903,0.000047763882,0.00047875123,0.00013527997,0.00029993666,0.0001480131],"domain_scores_gemma":[0.99875814,0.00012624788,0.00083374896,0.00018721951,0.000050634826,0.000044010096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051637186,0.00011268791,0.00027246293,6.7971666e-7,0.00015501326,0.000007615232,0.00038133425,0.000117171745,0.00011252007],"category_scores_gemma":[0.00028141768,0.00006306058,0.000079123034,0.00041331872,0.00047978363,0.00014161521,0.00016702582,0.00025035013,6.915328e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033990908,0.0007642306,0.6475723,0.0002441067,0.00190969,0.000025268318,0.007183515,0.019674607,0.23222746,0.0024480387,0.025783999,0.05876772],"study_design_scores_gemma":[0.012852938,0.013853875,0.513153,0.00040795782,0.003901952,0.00058762304,0.021214157,0.22994052,0.09265923,0.02170902,0.08811331,0.0016063887],"about_ca_topic_score_codex":0.000015001381,"about_ca_topic_score_gemma":0.0000023594853,"teacher_disagreement_score":0.2102659,"about_ca_system_score_codex":0.000054000582,"about_ca_system_score_gemma":0.00003778347,"threshold_uncertainty_score":0.25715357},"labels":[],"label_agreement":null},{"id":"W3092610929","doi":"10.1175/jtech-d-20-0058.1","title":"Accuracy and Long-Term Stability Assessment of Inductive Conductivity Cell Measurements on Argo Floats","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"European Commission; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Argo; Hydrography; Environmental science; CTD; Meteorology; Stability (learning theory); Computer science; Remote sensing; Geology; Climatology; Oceanography; Physics; Machine learning","score_opus":0.032610602892725674,"score_gpt":0.25184508818468876,"score_spread":0.2192344852919631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092610929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939924,0.003520022,0.0010850134,0.00074237527,0.00013271379,0.00014323901,0.00000847789,0.000025298068,0.00035044766],"genre_scores_gemma":[0.9926739,0.0011167094,0.005988977,0.000160449,0.00005061862,2.3582737e-7,9.657069e-7,0.00000515357,0.0000030324168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986198,0.00007239809,0.0004754998,0.00027406184,0.0003266195,0.00023160546],"domain_scores_gemma":[0.998701,0.0001471459,0.000663023,0.00013880758,0.00017609277,0.00017395696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032893528,0.00019813809,0.0004948503,0.000010617632,0.00009517192,0.000023060147,0.00025348863,0.00015999097,0.00019851193],"category_scores_gemma":[0.00017671725,0.00014810519,0.00006531825,0.0005316023,0.00038984523,0.00031448703,0.00004080226,0.00045682478,0.0000011490548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102557184,0.000093528586,0.9516521,0.000110745816,0.00007232967,0.000018966124,0.00014367719,0.000028864415,0.0009744276,0.00003357164,0.000034421948,0.046734825],"study_design_scores_gemma":[0.0010298862,0.0023839332,0.9900328,0.000058470403,0.00008492188,0.000057902053,0.0010239098,0.0005451614,0.0037438297,0.00073297514,0.00011301804,0.00019318331],"about_ca_topic_score_codex":0.000013474134,"about_ca_topic_score_gemma":0.000009253213,"teacher_disagreement_score":0.046541642,"about_ca_system_score_codex":0.000009202043,"about_ca_system_score_gemma":0.00017666326,"threshold_uncertainty_score":0.60395545},"labels":[],"label_agreement":null},{"id":"W3108377418","doi":"10.1175/jtech-d-20-0185.1","title":"FOWD: A Free Ocean Wave Dataset for Data Mining and Machine Learning","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"U.S. Army Corps of Engineers; Danish Hydrocarbon Research and Technology Centre, Technical University of Denmark; California Department of Parks and Recreation","keywords":"Computer science; Wind wave; Geology; Data mining; Remote sensing; Machine learning; Oceanography","score_opus":0.024544257412882554,"score_gpt":0.22205909517176917,"score_spread":0.19751483775888662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108377418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706206,0.023345133,0.0021214972,0.0028542494,0.0003162016,0.00008426298,0.00051932933,0.000026914975,0.00011185834],"genre_scores_gemma":[0.723434,0.003648233,0.27167547,0.00032229177,0.0002219212,3.3102459e-9,0.00050532527,0.000013133808,0.0001796824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990255,0.000033559103,0.00032770136,0.00025259596,0.00011603298,0.0002445904],"domain_scores_gemma":[0.999089,0.00017323701,0.0002617657,0.00031190758,0.000065275955,0.00009879414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034758262,0.0001297799,0.00031013737,0.000017918652,0.00018607307,0.000056830795,0.00025965308,0.00012974165,0.000063520776],"category_scores_gemma":[0.00040331794,0.000099191006,0.00003091988,0.00021959013,0.00013657022,0.0002039149,0.00015865055,0.00027333427,5.270889e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012541508,0.000028618566,0.064858004,0.000088606,0.00019537537,0.00070016755,0.00017869825,0.00010408886,0.00010432437,0.00007649825,0.013740621,0.91979957],"study_design_scores_gemma":[0.003325563,0.0015945928,0.020974463,0.00020667369,0.00033595707,0.015326515,0.0052160914,0.69521904,0.00020362448,0.004516236,0.25254366,0.0005376146],"about_ca_topic_score_codex":0.00002390947,"about_ca_topic_score_gemma":0.000076668344,"teacher_disagreement_score":0.919262,"about_ca_system_score_codex":0.0000030954147,"about_ca_system_score_gemma":0.00006917284,"threshold_uncertainty_score":0.4044892},"labels":[],"label_agreement":null},{"id":"W3112606248","doi":"10.1175/jtech-d-20-0174.1","title":"Effect of Acoustic Doppler Velocimeter Sampling Volume Size on Measurements of Turbulence","year":2020,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sampling (signal processing); Turbulence; Doppler effect; Volume (thermodynamics); Acoustic Doppler velocimetry; Noise (video); Jet (fluid); Acoustics; Physics; Mechanics; Optics; Laser Doppler velocimetry; Blood flow; Computer science","score_opus":0.009565391866039066,"score_gpt":0.21841839302387522,"score_spread":0.20885300115783617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112606248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547464,0.0008961733,0.04382317,0.000103369726,0.00022914242,0.00007856053,0.0000035001713,0.000039366874,0.00008028149],"genre_scores_gemma":[0.98220193,0.00018484956,0.017501244,0.00003332697,0.000048668906,6.479832e-7,1.4039918e-7,0.00002330251,0.000005881285],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905026,0.000017466906,0.00046188402,0.00010509987,0.00020069178,0.00016457187],"domain_scores_gemma":[0.999338,0.00015029375,0.0002355742,0.00012171069,0.00009449827,0.000059927566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023700182,0.00015217761,0.0004588069,0.000012269762,0.00002055683,0.0000051471425,0.00022861916,0.00015474627,0.00003134323],"category_scores_gemma":[0.00038070098,0.0001228733,0.00007867547,0.00026185915,0.000089792615,0.000040314226,0.000047305366,0.00034649184,0.0000014589709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061396044,0.00014151326,0.021985434,0.0019557364,0.0010366961,0.00007786657,0.00047462195,0.4130322,0.46287102,0.00020379652,0.0017853761,0.09582178],"study_design_scores_gemma":[0.005126874,0.0134462295,0.009756142,0.0010723938,0.00095784693,0.00033201178,0.00039489075,0.8903751,0.075960144,0.0010272096,0.0006517483,0.0008994479],"about_ca_topic_score_codex":4.1454163e-7,"about_ca_topic_score_gemma":1.1380105e-7,"teacher_disagreement_score":0.47734284,"about_ca_system_score_codex":0.000033719953,"about_ca_system_score_gemma":0.000018450379,"threshold_uncertainty_score":0.5010628},"labels":[],"label_agreement":null},{"id":"W3118506728","doi":"10.1175/jtech-d-20-0107.1","title":"Changes in TOA SW Fluxes over Marine Clouds When Estimated via Semiphysical Angular Distribution Models","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Freie Universität Berlin; Langley Research Center; National Aeronautics and Space Administration","keywords":"Zenith; Environmental science; Atmosphere (unit); Cloud fraction; Flux (metallurgy); Atmospheric sciences; Shortwave; Effective radius; Liquid water content; Satellite; Radiative flux; Defense Meteorological Satellite Program; Northern Hemisphere; Cloud cover; Radiative transfer; Cloud top; Meteorology; Remote sensing; Cloud computing; Physics; Geology; Astrophysics; Optics; Astronomy","score_opus":0.006097770400765306,"score_gpt":0.21085702816513696,"score_spread":0.20475925776437165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118506728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97585064,0.0006900415,0.021679673,0.0013136395,0.00012349726,0.00006816562,0.000002907172,0.000038748298,0.0002326924],"genre_scores_gemma":[0.9827365,0.0005345917,0.016265264,0.00016989636,0.000057600537,0.0000024258215,0.000004761467,0.000017204175,0.00021172673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987592,0.000036851496,0.00036769852,0.00026139352,0.00024241304,0.00033241833],"domain_scores_gemma":[0.9993957,0.000028163542,0.00023895386,0.00020652225,0.00003285287,0.000097761185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001531294,0.00018923254,0.00039368676,0.0000012466224,0.000070781294,0.000020376825,0.00021848013,0.00023898362,0.00091057766],"category_scores_gemma":[0.000043201526,0.00016096613,0.00006709259,0.0005598059,0.00024542454,0.00018374943,0.00038630352,0.00036996734,0.000007767015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019746754,0.0008434155,0.65438557,0.000044244563,0.00014769468,0.001234494,0.00048494732,0.005343691,0.033536367,0.003471512,0.0048931846,0.2954174],"study_design_scores_gemma":[0.003687413,0.0014271236,0.64143443,0.00019102379,0.00021348677,0.0018150447,0.0013204544,0.21141386,0.008806001,0.117783286,0.010896759,0.001011088],"about_ca_topic_score_codex":0.00006021712,"about_ca_topic_score_gemma":0.00008044414,"teacher_disagreement_score":0.29440632,"about_ca_system_score_codex":0.00018990197,"about_ca_system_score_gemma":0.00003120332,"threshold_uncertainty_score":0.9970187},"labels":[],"label_agreement":null},{"id":"W3121411851","doi":"10.1175/jtech-d-20-0075.1","title":"Improved Precipitation Typing Using POSS Spectral Modal Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Radar; Centroid; Remote sensing; Precipitation; Doppler radar; Doppler effect; Wind speed; Computer science; Meteorology; Geology; Physics; Artificial intelligence; Telecommunications","score_opus":0.012080755949905691,"score_gpt":0.2244219936044191,"score_spread":0.21234123765451343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121411851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677313,0.0030732828,0.028500985,0.00036623236,0.00013126942,0.000024999234,0.000002394933,0.000017206869,0.00015234668],"genre_scores_gemma":[0.9572465,0.00023767572,0.042339716,0.000048546077,0.00006691992,4.7250953e-8,0.000003908523,0.0000023592738,0.00005433919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991176,0.000049778384,0.00036343068,0.00014722781,0.00014766557,0.00017430099],"domain_scores_gemma":[0.9992554,0.000041526226,0.00032110178,0.00009845725,0.00021793607,0.00006553964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027868213,0.000095080395,0.00029629617,0.00006117197,0.000103188984,0.00004607572,0.00011755993,0.00009639925,0.00046719148],"category_scores_gemma":[0.000107598884,0.00007999725,0.00014467782,0.0014811758,0.0000567515,0.00022212716,0.000010612001,0.00017652086,0.0000021521491],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045941208,0.000028061437,0.93203425,0.000011468575,0.0010318508,0.00004251679,0.00017832447,0.0090261465,0.0049370173,0.00015423176,0.000021674288,0.052488524],"study_design_scores_gemma":[0.00057930837,0.00021621822,0.6356992,0.000021496982,0.0013113172,0.00018904087,0.0018810487,0.35552415,0.0011838641,0.0030384115,0.00015745539,0.00019847229],"about_ca_topic_score_codex":0.00003182646,"about_ca_topic_score_gemma":0.00013354472,"teacher_disagreement_score":0.346498,"about_ca_system_score_codex":0.000012438177,"about_ca_system_score_gemma":0.000098375865,"threshold_uncertainty_score":0.5115419},"labels":[],"label_agreement":null},{"id":"W3123856671","doi":"10.1175/jtech-d-20-0035.1","title":"Compact Polarimetry Synthetic Aperture Radar Ocean Wind Retrieval: Model Development and Validation","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Key Research and Development Program of China; Fisheries and Oceans Canada; Canadian Space Agency; National Oceanic and Atmospheric Administration; Ocean Frontier Institute; Russian Science Foundation; Dalhousie University; National Natural Science Foundation of China; National Science Foundation","keywords":"Buoy; Wind speed; Polarimetry; Synthetic aperture radar; Remote sensing; Radar; Wind direction; Geodesy; Geology; Circular polarization; Polarization (electrochemistry); Meteorology; Physics; Computer science; Optics; Telecommunications; Scattering","score_opus":0.007965493726343286,"score_gpt":0.19849705388411917,"score_spread":0.1905315601577759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123856671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98851836,0.008744265,0.0008333349,0.0014067221,0.00013963091,0.00004037735,0.0000029447017,0.000023362165,0.0002910117],"genre_scores_gemma":[0.95249826,0.00066812546,0.04645947,0.00018453047,0.00004111585,7.430834e-11,0.0000036938404,0.000006276218,0.0001385117],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990133,0.000035154717,0.00035712222,0.00018401624,0.00019190907,0.00021849475],"domain_scores_gemma":[0.9993524,0.00008600828,0.00023501292,0.00011418502,0.000094896975,0.00011752872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023443134,0.00014520313,0.00030710085,0.000026179152,0.00016404755,0.00005131957,0.00010076606,0.00019916306,0.00004824183],"category_scores_gemma":[0.00012188341,0.000108457105,0.000044845416,0.00034828376,0.00012809952,0.00014018636,0.000021300299,0.00035388686,0.0000025011],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059905375,0.00025308627,0.23713124,0.00031872417,0.0008999464,0.0017611178,0.0020638742,0.009907366,0.005871103,0.0010782209,0.0020139685,0.7381023],"study_design_scores_gemma":[0.0047143167,0.0017219451,0.32953072,0.0008714257,0.00058525655,0.029762927,0.010057954,0.5212774,0.026474819,0.015094762,0.05802353,0.0018849253],"about_ca_topic_score_codex":0.000004927352,"about_ca_topic_score_gemma":0.000001657583,"teacher_disagreement_score":0.7362174,"about_ca_system_score_codex":0.000011942648,"about_ca_system_score_gemma":0.00017983768,"threshold_uncertainty_score":0.44227523},"labels":[],"label_agreement":null},{"id":"W3139945928","doi":"10.1175/jtech-d-20-0081.1","title":"Deep-learning-based precipitation observation quality control","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"BC Hydro (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Environment and Climate Change Canada; University Corporation for Atmospheric Research; Mitacs; BC Hydro; National Center for Atmospheric Research; National Science Foundation","keywords":"Computer science; Terrain; Convolutional neural network; Artificial intelligence; Classifier (UML); Artificial neural network; Precipitation; Pattern recognition (psychology); Machine learning; Remote sensing; Meteorology; Cartography; Geology","score_opus":0.014292951227745512,"score_gpt":0.22956710988271148,"score_spread":0.21527415865496596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139945928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9159524,0.0038867383,0.07765321,0.0020954285,0.00016831723,0.000039738312,0.0000012636257,0.000032032785,0.00017089811],"genre_scores_gemma":[0.9859335,0.00018813094,0.0135240005,0.00022582943,0.000045893878,1.8397412e-7,0.000007512316,0.0000022287045,0.00007273242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989703,0.00015133206,0.00040090576,0.00011853873,0.00023150304,0.00012736233],"domain_scores_gemma":[0.9989246,0.00015128583,0.00042630473,0.00007791763,0.0003648176,0.000055070093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005610676,0.00008179541,0.00023191553,0.00002081358,0.00009934953,0.000032416297,0.0000971043,0.0001027873,0.00046805415],"category_scores_gemma":[0.0006436294,0.0000681648,0.00007465653,0.0004949052,0.00005561047,0.00017776297,0.0000036308502,0.0002096354,0.000007784629],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050151466,0.000022054539,0.8794219,0.000013124641,0.00006916613,0.00001320929,0.00005303319,0.011901461,0.00042453362,0.0001634066,0.0000531247,0.10781484],"study_design_scores_gemma":[0.0010048647,0.00024799336,0.9184601,0.000021302041,0.00008768775,0.000022743072,0.0007253812,0.07537784,0.0002116828,0.0021770915,0.0015619321,0.000101386046],"about_ca_topic_score_codex":0.000010775708,"about_ca_topic_score_gemma":0.000074894015,"teacher_disagreement_score":0.10771345,"about_ca_system_score_codex":0.000008164794,"about_ca_system_score_gemma":0.00008822959,"threshold_uncertainty_score":0.51248646},"labels":[],"label_agreement":null},{"id":"W3161910299","doi":"10.1175/jtech-d-20-0144.1","title":"On using the finescale parameterization and Thorpe scales to estimate turbulence from glider data","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Glider; Underwater glider; Turbulence; Environmental science; Meteorology; Dissipation; Sampling (signal processing); Scale (ratio); Computer science; Physics; Algorithm; Telecommunications","score_opus":0.0163623221153393,"score_gpt":0.2609886675836581,"score_spread":0.24462634546831877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161910299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97343796,0.008790207,0.015707865,0.0017582759,0.00017912695,0.000050763276,0.000021480502,0.000020865367,0.00003346275],"genre_scores_gemma":[0.92378616,0.0009561654,0.074778125,0.00039679641,0.000056688026,8.309515e-8,0.0000062133245,0.0000043275563,0.000015443728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999075,0.000036824,0.00029650744,0.00024960702,0.00016236502,0.00017970601],"domain_scores_gemma":[0.99914587,0.00020231195,0.00020394707,0.0002824293,0.00008232755,0.00008310199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017554546,0.00012941651,0.00023374755,0.000006406788,0.00016573355,0.00007659437,0.0003578262,0.00009836361,0.000098202974],"category_scores_gemma":[0.00030526274,0.00008091557,0.000022318354,0.00058087765,0.00018633342,0.00021289727,0.00009249826,0.00020491895,0.0000021552855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017984923,0.00007200171,0.513235,0.000054663247,0.00016561372,0.00027753922,0.00022032479,0.005781138,0.0006655555,0.00049847167,0.0009210427,0.47792882],"study_design_scores_gemma":[0.0012267327,0.0012756507,0.5948578,0.00049759785,0.0003572563,0.0022892402,0.002997646,0.34086376,0.0010810146,0.04718292,0.00662613,0.0007442009],"about_ca_topic_score_codex":0.00003263117,"about_ca_topic_score_gemma":0.000053484102,"teacher_disagreement_score":0.4771846,"about_ca_system_score_codex":0.0000026929515,"about_ca_system_score_gemma":0.000058424226,"threshold_uncertainty_score":0.3299641},"labels":[],"label_agreement":null},{"id":"W3198636434","doi":"10.1175/jtech-d-22-0022.1","title":"Transition Paths of North Atlantic Deep Water","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"North Atlantic Deep Water; Geology; Ridge; Boundary current; Gulf Stream; Mid-Atlantic Ridge; Oceanography; Transition zone; Ocean current; Climatology; Paleontology; Thermohaline circulation; Geophysics","score_opus":0.0032609884578960846,"score_gpt":0.16226936962345181,"score_spread":0.15900838116555574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198636434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952649,0.0029622791,0.0009880546,0.00036234045,0.00017741635,0.0000546556,0.0000036590573,0.000024504445,0.00016218555],"genre_scores_gemma":[0.9961758,0.000555807,0.0031084176,0.000096262935,0.000031913656,2.729794e-7,0.0000049258483,0.000004354926,0.000022197064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989686,0.000035260106,0.00040963007,0.00012806742,0.000233073,0.00022538078],"domain_scores_gemma":[0.9994917,0.000030363944,0.00025183032,0.000097604025,0.00006836369,0.000060125738],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019804516,0.00011515902,0.00029998802,0.000016374635,0.00016652966,0.000008322644,0.00026222484,0.000054403397,0.0011392887],"category_scores_gemma":[0.000012448843,0.000078762125,0.000080552454,0.00053885713,0.00014037247,0.00013138751,0.000021473912,0.0003019977,0.0000022731363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021637947,0.00008263174,0.8616124,0.00006298094,0.000096852484,0.00014421449,0.0005745082,0.0020977024,0.00010837806,0.00012074801,0.000096339616,0.13478687],"study_design_scores_gemma":[0.0017739071,0.0045622876,0.9551735,0.000038535432,0.00023673527,0.002939757,0.006612297,0.0081598405,0.0006310457,0.010102685,0.009304606,0.00046479414],"about_ca_topic_score_codex":0.000027989234,"about_ca_topic_score_gemma":0.000053825384,"teacher_disagreement_score":0.13432208,"about_ca_system_score_codex":0.0000045840006,"about_ca_system_score_gemma":0.000045765442,"threshold_uncertainty_score":0.9997738},"labels":[],"label_agreement":null},{"id":"W3204156269","doi":"10.1175/jtech-d-21-0053.1","title":"Clustering of Climate Change Impacts on Ocean Waves in the Northwest Atlantic","year":2021,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers; Ocean Frontier Institute; Marine Environmental Observation Prediction and Response Network","keywords":"Climate change; Significant wave height; Cluster analysis; Climatology; Environmental science; Meteorology; Wave height; Climate model; Wind wave; Geography; Statistics; Geology; Mathematics","score_opus":0.010176348332031938,"score_gpt":0.21063004252399184,"score_spread":0.2004536941919599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204156269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955241,0.0025569068,0.000015683474,0.0012881699,0.00018455299,0.000051905834,0.0000033365568,0.000007440069,0.0003678756],"genre_scores_gemma":[0.99287194,0.0050440407,0.0017480041,0.00023920994,0.000087633554,2.026577e-9,0.0000017352521,0.000003614868,0.0000037898678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991011,0.000049483155,0.00034675212,0.00011099331,0.00014942691,0.00024223041],"domain_scores_gemma":[0.9994165,0.00009766136,0.00026367093,0.00013286393,0.0000461781,0.000043160944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026877574,0.0001066323,0.00027323375,0.000025682062,0.00006391186,0.000021252728,0.00015666333,0.00010135307,0.000032602402],"category_scores_gemma":[0.000051361436,0.00006340315,0.000060267736,0.0004398854,0.00010400548,0.00009214399,0.000022089322,0.00028945494,0.0000017696119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011380126,0.00007486394,0.737192,0.00011260301,0.00004671099,0.0013352971,0.0011024501,0.0006530089,0.000073937845,0.00017376,0.00004965126,0.25907195],"study_design_scores_gemma":[0.00056900876,0.00081852975,0.97654533,0.0003076028,0.000035100882,0.0029603082,0.0041483995,0.013343183,0.00010167035,0.000560023,0.00048344754,0.00012740232],"about_ca_topic_score_codex":0.00009950284,"about_ca_topic_score_gemma":0.00041270617,"teacher_disagreement_score":0.25894457,"about_ca_system_score_codex":0.0000045259835,"about_ca_system_score_gemma":0.000032644224,"threshold_uncertainty_score":0.25855055},"labels":[],"label_agreement":null},{"id":"W4229456680","doi":"10.1175/jtech-d-21-0025.1","title":"Experimental Confirmation of Stokes Drift Measurement by High-Frequency Radars","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Stokes drift; Wavelength; Ocean current; Radar; Eulerian path; Surface wave; Doppler effect; Geology; Physics; Optics; Climatology","score_opus":0.005590438800492935,"score_gpt":0.17689377491547736,"score_spread":0.17130333611498444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229456680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851828,0.013105473,0.0003137959,0.00066757353,0.00038281482,0.000065856555,0.000009428435,0.000014788988,0.0002574376],"genre_scores_gemma":[0.9940549,0.00017254561,0.0056534857,0.000066112996,0.00002643985,9.543309e-9,0.0000024541494,0.000003579499,0.000020445355],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989202,0.000052193864,0.0003984139,0.00010173044,0.00037295016,0.0001544808],"domain_scores_gemma":[0.99933267,0.000017508179,0.00044274342,0.000087549204,0.000068724185,0.000050835715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031453115,0.00009575452,0.0002437788,0.000021812079,0.00015304629,0.000010054464,0.00016548506,0.00005715573,0.00041964737],"category_scores_gemma":[0.00001850718,0.000077211946,0.00005035609,0.00023495438,0.00016126096,0.00009853294,0.000023273364,0.00023860039,9.633069e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008238601,0.0008348965,0.11376311,0.00017246642,0.0009306722,0.0004355956,0.003174038,0.006859385,0.19770646,0.0046769604,0.020858731,0.6497638],"study_design_scores_gemma":[0.021973124,0.038090374,0.32315385,0.00055937545,0.0009237204,0.016695535,0.14905417,0.07393079,0.22642389,0.033210304,0.11235483,0.003630018],"about_ca_topic_score_codex":0.000106190164,"about_ca_topic_score_gemma":0.000003360308,"teacher_disagreement_score":0.6461338,"about_ca_system_score_codex":0.000021173382,"about_ca_system_score_gemma":0.00006577125,"threshold_uncertainty_score":0.45948446},"labels":[],"label_agreement":null},{"id":"W4231733844","doi":"10.1175/jtech-d-10-05013","title":"Spatial and Temporal Sampling of Polar Regions from Two-Satellite System on Molniya Orbit","year":2011,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Constellation; Sampling (signal processing); Satellite constellation; Remote sensing; Satellite; Orbit (dynamics); Polar orbit; Computer science; Arctic; Environmental science; Satellite system; The arctic; Temporal resolution; Meteorology; Geodesy; Geology; Geography; Global Positioning System; Telecommunications; Astronomy; Aerospace engineering; Oceanography; Physics; Detector; GNSS applications","score_opus":0.01069387008861203,"score_gpt":0.1991363346985856,"score_spread":0.18844246460997358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231733844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699213,0.0009632914,0.02823549,0.00008544995,0.00011383584,0.000084401814,0.000002615655,0.000029455317,0.00056419586],"genre_scores_gemma":[0.9025563,0.00057059224,0.096738,0.00004145668,0.0000310264,6.2483224e-7,4.5674614e-7,0.000018678062,0.00004283791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988389,0.00002977058,0.0004805716,0.00023098585,0.00019848504,0.00022126155],"domain_scores_gemma":[0.9991252,0.00003737538,0.0005006137,0.00021516385,0.000008480472,0.000113199836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014880064,0.00018663002,0.00037709024,0.0000057706075,0.00008285573,0.000007039482,0.0002347459,0.00017842487,0.00012221304],"category_scores_gemma":[0.000017246566,0.00015154699,0.00006643742,0.00018592147,0.000518726,0.00011895739,0.00019047843,0.00029272021,0.0000075138128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023761296,0.00014231006,0.9300752,0.000020592413,0.000107471635,0.000107442305,0.00067359174,0.0004151778,0.0020458617,0.0024036989,0.000028547549,0.06374246],"study_design_scores_gemma":[0.0029701155,0.0030755966,0.9581537,0.00030262122,0.0002895482,0.0011865275,0.007300579,0.010321727,0.0011602064,0.01060767,0.003913074,0.00071859715],"about_ca_topic_score_codex":0.0007203595,"about_ca_topic_score_gemma":0.000021738562,"teacher_disagreement_score":0.06850251,"about_ca_system_score_codex":0.00011931507,"about_ca_system_score_gemma":0.000010868489,"threshold_uncertainty_score":0.6179907},"labels":[],"label_agreement":null},{"id":"W4234506854","doi":"10.1175/1520-0426(2001)018<0490:c>2.0.co;2","title":"Corrigendum","year":2001,"lang":"en","type":"erratum","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Meteorology; Remote sensing; Geography","score_opus":0.014772812345318973,"score_gpt":0.2130953084245288,"score_spread":0.19832249607920985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234506854","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1910533,0.26634434,0.005747617,0.006980002,0.13000727,0.00078227563,0.00013264095,0.00042426275,0.3985283],"genre_scores_gemma":[0.58364755,0.04820375,0.022559801,0.0017666013,0.0057370258,8.7289357e-7,0.00011022881,0.00005173585,0.33792245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99859405,0.00004449373,0.0005868001,0.00020899258,0.00024318897,0.00032245804],"domain_scores_gemma":[0.9988106,0.00006492205,0.0006639935,0.00019312234,0.000119127384,0.00014826273],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023131336,0.00023173429,0.00062613905,0.00004219017,0.00012648971,0.00003201147,0.00042199146,0.00076715765,0.004200226],"category_scores_gemma":[0.00014803959,0.00015980993,0.00012294234,0.00050188135,0.00022410757,0.00009656135,0.00002652638,0.0012532518,0.000046068322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056828823,0.00003612287,0.050665118,0.000033090422,0.00015225132,0.0003819694,0.00003374835,0.00016617186,0.0000018806613,0.0005516683,0.7776827,0.17023842],"study_design_scores_gemma":[0.0003022584,0.0009503713,0.044552498,0.00004331438,0.00010107501,0.00065801415,0.00015236773,0.0022639888,3.8030092e-7,0.017608292,0.93314826,0.00021916804],"about_ca_topic_score_codex":0.0000234635,"about_ca_topic_score_gemma":0.000030529474,"teacher_disagreement_score":0.39259422,"about_ca_system_score_codex":0.000009547508,"about_ca_system_score_gemma":0.00015265754,"threshold_uncertainty_score":0.99671006},"labels":[],"label_agreement":null},{"id":"W4280512440","doi":"10.1175/jtech-d-21-0051.1","title":"The Statistics of Oceanic Turbulence Measurements. Part I: Shear Variance and Dissipation Rates","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universitetet i Bergen; Dalhousie University","keywords":"Dissipation; Turbulence; Statistics; Reynolds number; Physics; Turbulence kinetic energy; Mathematics; Statistical physics; Meteorology; Thermodynamics","score_opus":0.013178679158029666,"score_gpt":0.24615156247911357,"score_spread":0.2329728833210839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280512440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73463196,0.013351018,0.2510204,0.0002742962,0.00049858197,0.000093359224,0.000008285862,0.00006078176,0.00006132813],"genre_scores_gemma":[0.94996166,0.0016909282,0.04825095,0.0000070423293,0.000023784476,0.000002121668,4.1785094e-7,0.000013577444,0.000049514867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992471,0.000043514414,0.00034889282,0.00006683233,0.00017146803,0.00012219824],"domain_scores_gemma":[0.9994902,0.00014035152,0.00014769202,0.000115346906,0.000073162184,0.000033264405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005243779,0.000082724444,0.00018079461,0.000012928504,0.000120501245,0.0000135782175,0.00014391926,0.000044477263,0.000017218648],"category_scores_gemma":[0.00016060894,0.00006416935,0.000019871208,0.00024765296,0.00006775586,0.000057827812,0.000045960613,0.00026548913,1.2759156e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009654147,0.000052536434,0.016072115,0.00017605598,0.00027732793,0.000019371819,0.00036834675,0.8859686,0.0027406255,0.008454756,0.0034039086,0.08236979],"study_design_scores_gemma":[0.0013987853,0.00080407434,0.026950868,0.00007421269,0.000100926954,0.00027192073,0.0009936922,0.91883856,0.0014081871,0.011040152,0.037817057,0.00030155721],"about_ca_topic_score_codex":5.284529e-7,"about_ca_topic_score_gemma":1.3322456e-7,"teacher_disagreement_score":0.21532972,"about_ca_system_score_codex":0.000034279983,"about_ca_system_score_gemma":0.00002312366,"threshold_uncertainty_score":0.261675},"labels":[],"label_agreement":null},{"id":"W4280647332","doi":"10.1175/jtech-d-21-0050.1","title":"The Statistics of Oceanic Turbulence Measurements. Part II: Shear Spectra and a New Spectral Model","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Logarithm; Wavenumber; Turbulence; Spectral line; Statistics; Physics; Shear (geology); Spectrum (functional analysis); Spectral density; Mathematical analysis; Mathematics; Statistical physics; Optics; Geology; Thermodynamics; Quantum mechanics","score_opus":0.020202093337669914,"score_gpt":0.23891709121279858,"score_spread":0.21871499787512866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280647332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70892227,0.010921061,0.27916855,0.000378853,0.00030627425,0.000088926725,0.0000068680133,0.00007550269,0.00013168082],"genre_scores_gemma":[0.81194556,0.001932957,0.18583272,0.000012748186,0.00004838433,0.0000010655817,2.7467325e-7,0.000023444873,0.00020283136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990388,0.000025771105,0.0004123697,0.00009073053,0.00023361345,0.00019871762],"domain_scores_gemma":[0.99951774,0.000073378564,0.00013511309,0.00015418563,0.000048417292,0.00007118252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043668126,0.00011873172,0.00025462508,0.000019207735,0.00015323989,0.000013729091,0.00021558255,0.000058155154,0.000025745121],"category_scores_gemma":[0.00009167696,0.0000949665,0.000037847276,0.00026719415,0.000073390016,0.000056664205,0.00008116526,0.00043854333,1.3571432e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003839607,0.000020438443,0.0006988674,0.00003312009,0.00011435711,0.000010797116,0.00020289545,0.9785793,0.0008708984,0.005266037,0.003638779,0.0105261095],"study_design_scores_gemma":[0.00074948306,0.0004979033,0.0009066332,0.000021410367,0.000053257816,0.00023098124,0.0002916454,0.9757782,0.00053056446,0.013930564,0.006862207,0.00014714074],"about_ca_topic_score_codex":0.0000011062638,"about_ca_topic_score_gemma":3.6364344e-7,"teacher_disagreement_score":0.10302329,"about_ca_system_score_codex":0.000058549253,"about_ca_system_score_gemma":0.00006735081,"threshold_uncertainty_score":0.38726214},"labels":[],"label_agreement":null},{"id":"W4283165976","doi":"10.1175/jtech-d-21-0148.1","title":"Impacts of Instrumented Bottom Frame on Flow and Turbulence Measurements","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Turbulence kinetic energy; Turbulence; Dissipation; Geology; Flow (mathematics); Asymmetry; Mechanics; Meteorology; Geodesy; Environmental science; Physics","score_opus":0.012061576663759788,"score_gpt":0.2195889684450333,"score_spread":0.20752739178127352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283165976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959046,0.0026643702,0.00008582861,0.001088744,0.00011223897,0.000056187982,0.000008353386,0.000010519248,0.00006914472],"genre_scores_gemma":[0.99551743,0.00043570684,0.0039012837,0.00011070595,0.000022473601,2.2858659e-7,7.2348024e-7,0.0000023169334,0.000009129985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989555,0.000055739736,0.00028089623,0.00012258471,0.00037525562,0.00021001468],"domain_scores_gemma":[0.9995287,0.000056344965,0.00016541239,0.00008924408,0.00004638735,0.00011388501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016855508,0.00008781639,0.00023204772,0.000025249374,0.00012103924,0.000012234108,0.00020862088,0.00006927142,0.00052876206],"category_scores_gemma":[0.00008968606,0.0000622239,0.00003736181,0.00033745915,0.00017070584,0.0000721048,0.000048092857,0.0005291527,0.0000020813948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025206507,0.00004729409,0.87003094,0.000016813552,0.000038507842,0.000032076405,0.000037098784,0.00015785944,0.0003343422,0.00011183024,0.00010922587,0.12883195],"study_design_scores_gemma":[0.0009230147,0.0045225574,0.9848499,0.000028570274,0.00001956462,0.0003432525,0.00042221227,0.0029838507,0.00027487162,0.0034372532,0.0020885405,0.00010644641],"about_ca_topic_score_codex":0.00011063894,"about_ca_topic_score_gemma":0.000024989233,"teacher_disagreement_score":0.12872551,"about_ca_system_score_codex":0.000009826612,"about_ca_system_score_gemma":0.000052506253,"threshold_uncertainty_score":0.5789574},"labels":[],"label_agreement":null},{"id":"W4286111293","doi":"10.1175/jtech-d-21-0186.1","title":"Static and Dynamic Performance of the RBRargo3 CTD","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography; Benbria (Canada)","funders":"","keywords":"Argo; CTD; Environmental science; Calibration; Dynamic pressure; Meteorology; Geology; Mechanics; Mathematics; Physics; Climatology; Statistics","score_opus":0.002406860579271858,"score_gpt":0.16443012492823852,"score_spread":0.16202326434896666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286111293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899713,0.008584187,0.00008807083,0.00093532517,0.00019055883,0.00005994483,0.0000061358196,0.000013139573,0.00015138126],"genre_scores_gemma":[0.9951566,0.0018088418,0.0027664977,0.0001635836,0.00001033139,2.40868e-7,3.6946233e-7,0.000003454517,0.000090067675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991541,0.00003595226,0.00031799058,0.000110085915,0.00021239111,0.00016948821],"domain_scores_gemma":[0.99933416,0.00006113692,0.0004008176,0.00011777159,0.000042166,0.000043954962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023056472,0.000099496916,0.00023173192,0.000009646936,0.0002394945,0.000010007349,0.00033140808,0.000047319783,0.0002624676],"category_scores_gemma":[0.000033544595,0.000063519925,0.00004372614,0.0007020919,0.00033395505,0.00012529452,0.00007391349,0.00033655594,4.4466293e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000693758,0.000027526203,0.8756211,0.00006630377,0.00004951919,0.000011640811,0.00015812492,0.00076827983,0.000041697458,0.00017652794,0.00021659488,0.122793354],"study_design_scores_gemma":[0.0008536665,0.002159744,0.9436144,0.00005491803,0.00009369987,0.001677731,0.0042494233,0.03284707,0.00009374395,0.005558375,0.008586406,0.00021081982],"about_ca_topic_score_codex":0.000011473375,"about_ca_topic_score_gemma":0.0000063410102,"teacher_disagreement_score":0.12258253,"about_ca_system_score_codex":0.000004810412,"about_ca_system_score_gemma":0.00009625174,"threshold_uncertainty_score":0.28738362},"labels":[],"label_agreement":null},{"id":"W4289667272","doi":"10.1175/jtech-d-21-0060.1","title":"Analytical and Residual Bootstrap Methods for Parameter Uncertainty Assessment in Tidal Analysis with Temporally Correlated Noise","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Residual; Monte Carlo method; Statistics; Autocorrelation; Ordinary least squares; Regression; Covariance; Mathematics; Environmental science; Algorithm","score_opus":0.011321755030789473,"score_gpt":0.2851181829594175,"score_spread":0.273796427928628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289667272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716528,0.0030835376,0.023779342,0.0011333204,0.000069748145,0.00016069696,0.00001366994,0.000025258194,0.00008162549],"genre_scores_gemma":[0.86375463,0.00025117892,0.13577333,0.00015086075,0.000015837128,0.0000018722991,0.000008040133,0.0000053067424,0.0000389245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853134,0.00012590738,0.00052702066,0.0002859601,0.0002183537,0.00031141078],"domain_scores_gemma":[0.99887866,0.00039540813,0.00039579254,0.00013057892,0.00008652083,0.000113024005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009016318,0.00018272309,0.00058440864,0.00006230351,0.00018886763,0.00003824918,0.00020545877,0.000117872085,0.00019623857],"category_scores_gemma":[0.000079414334,0.00013112726,0.00008927675,0.0020546252,0.00028325702,0.00014014306,0.000041741318,0.0005857136,1.4519989e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004207841,0.000066852655,0.93894875,0.000019576135,0.0005287058,0.00009854673,0.0000785644,0.012291805,0.0000051243273,0.00030095715,0.00011537591,0.04712493],"study_design_scores_gemma":[0.0022590663,0.00436322,0.6638963,0.000022051689,0.0009948718,0.00072812097,0.0041191108,0.31410822,0.0000059546105,0.0054769125,0.0036635913,0.00036253082],"about_ca_topic_score_codex":0.00008072138,"about_ca_topic_score_gemma":0.000075379736,"teacher_disagreement_score":0.30181643,"about_ca_system_score_codex":0.000017074075,"about_ca_system_score_gemma":0.00021544787,"threshold_uncertainty_score":0.5347215},"labels":[],"label_agreement":null},{"id":"W4293767108","doi":"10.1175/jtech-d-21-0182.1","title":"Blending TAC and BUFR Marine In Situ Data for ICOADS Near-Real-Time Release 3.0.2","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Natural Resources Canada","funders":"National Weather Service; Sight Research UK; National Centers for Environmental Information; National Oceanic and Atmospheric Administration; Natural Environment Research Council; University of Maryland","keywords":"Buoy; Environmental science; NetCDF; Computer science; Meteorology; Upgrade; Data set; Geology; Oceanography","score_opus":0.008368758368360315,"score_gpt":0.2134861465548682,"score_spread":0.20511738818650788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293767108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927101,0.004932559,0.00032468693,0.0011481629,0.00016228721,0.00014155319,0.000037358914,0.000040993582,0.00050225697],"genre_scores_gemma":[0.9713687,0.0026156227,0.02563758,0.0001234849,0.0000566723,9.244222e-7,0.000022574757,0.000008744457,0.00016570954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987067,0.000039720508,0.00043796658,0.00029809395,0.00018712597,0.00033036602],"domain_scores_gemma":[0.9991013,0.00017356926,0.00033178637,0.00024634477,0.0000413009,0.00010572783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005715136,0.00016136281,0.0003882751,0.000020258902,0.00029424948,0.000044505196,0.00054604386,0.00009408152,0.00048534054],"category_scores_gemma":[0.00012598453,0.00013762334,0.00003865303,0.0007604499,0.00021323336,0.00029904683,0.00025214048,0.0003781453,0.0000015150797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038127293,0.00009504256,0.6627276,0.00008367458,0.00008871836,0.00021586673,0.000116520794,0.0005075569,0.00021494493,0.00032009993,0.0025750794,0.3326736],"study_design_scores_gemma":[0.0080389725,0.007234501,0.5742597,0.00015201228,0.00040994622,0.0057239104,0.008349845,0.19528888,0.00012417258,0.029409409,0.16961226,0.0013963775],"about_ca_topic_score_codex":0.00010963095,"about_ca_topic_score_gemma":0.000060976214,"teacher_disagreement_score":0.33127725,"about_ca_system_score_codex":0.00001011597,"about_ca_system_score_gemma":0.00014892599,"threshold_uncertainty_score":0.5612117},"labels":[],"label_agreement":null},{"id":"W4296236202","doi":"10.1175/jtech-d-22-0009.1","title":"Detection of Sea Surface Temperature Fronts from SAR Images","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Canadian Space Agency; Natural Science Foundation of Jiangsu Province; National Key Research and Development Program of China; China Scholarship Council","keywords":"Sea surface temperature; Environmental science; Wind speed; Meteorology; Remote sensing; Synthetic aperture radar; Climatology; Scale (ratio); Geology; Geography; Cartography","score_opus":0.0031947795576841983,"score_gpt":0.17173112169102425,"score_spread":0.16853634213334007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296236202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901059,0.008792122,0.000087476496,0.0003487117,0.0004656284,0.000042339758,0.00002901189,0.000017512535,0.00011128237],"genre_scores_gemma":[0.9897587,0.00045334685,0.009592038,0.000052888983,0.00006252657,1.1856744e-9,0.0000024363262,0.0000041944672,0.00007392186],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99919945,0.000051070147,0.00028945733,0.0001229897,0.00018737832,0.00014966344],"domain_scores_gemma":[0.9994176,0.000050003302,0.00032709204,0.00010291247,0.000054168497,0.000048228154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001625771,0.00009625271,0.00026132047,0.000015334586,0.00016466445,0.000012780315,0.00016008275,0.00009831775,0.00027678907],"category_scores_gemma":[0.00002515976,0.0000742337,0.00006211467,0.00031619827,0.00010398062,0.00009092012,0.000032267326,0.000438796,0.0000015209527],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000523354,0.00011472764,0.27211845,0.00004038531,0.00033616435,0.000493828,0.0004858742,0.011678833,0.054749433,0.000018481545,0.0020985007,0.65734196],"study_design_scores_gemma":[0.00342158,0.005275277,0.82993793,0.00012750186,0.00031836322,0.0051036915,0.01699631,0.062301416,0.04314865,0.008606679,0.023942934,0.000819665],"about_ca_topic_score_codex":0.00022631716,"about_ca_topic_score_gemma":0.000022327624,"teacher_disagreement_score":0.6565223,"about_ca_system_score_codex":0.000009358048,"about_ca_system_score_gemma":0.000044166198,"threshold_uncertainty_score":0.30306464},"labels":[],"label_agreement":null},{"id":"W4311159633","doi":"10.1175/jtech-d-22-0028.1","title":"Retrieval of Peak Thunderstorm Wind Velocities Using WSR-88D Weather Radars","year":2022,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Western University; Compute Canada","keywords":"Thunderstorm; Radar; Meteorology; Environmental science; Remote sensing; Magnitude (astronomy); Wind speed; Doppler radar; Doppler effect; Geodesy; Geology; Computer science; Geography; Physics","score_opus":0.016317128418954097,"score_gpt":0.2114805322920345,"score_spread":0.1951634038730804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311159633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942644,0.0037110993,0.0006273092,0.00035128774,0.00023610701,0.00005639627,0.000009206489,0.000014692411,0.00072948926],"genre_scores_gemma":[0.9943365,0.00011335789,0.005327632,0.00009172166,0.000042145253,2.964326e-8,9.944813e-7,0.0000034677344,0.00008418746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990179,0.00006296886,0.000383228,0.000111206245,0.00024174267,0.00018298932],"domain_scores_gemma":[0.99930894,0.00011370362,0.0003666388,0.00010343295,0.00005100224,0.00005628026],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003543831,0.00009569564,0.00029593142,0.000030068833,0.00022713296,0.000009384452,0.00023159447,0.0000815324,0.0020486386],"category_scores_gemma":[0.00006135138,0.000074019525,0.00006966259,0.00044757588,0.00023346125,0.000097156095,0.00004117225,0.00033265527,0.00000111158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014963741,0.0002577789,0.76807064,0.00007531397,0.0005716299,0.00026738236,0.0024484883,0.12706062,0.003189055,0.0066410434,0.00089956133,0.089022085],"study_design_scores_gemma":[0.004867669,0.011083639,0.6132277,0.00005900309,0.00041529496,0.0027071603,0.04153554,0.110876314,0.00026704316,0.17902265,0.03493435,0.0010036248],"about_ca_topic_score_codex":0.000026519983,"about_ca_topic_score_gemma":0.0000038306935,"teacher_disagreement_score":0.17238161,"about_ca_system_score_codex":0.000017908289,"about_ca_system_score_gemma":0.000089086054,"threshold_uncertainty_score":0.99886364},"labels":[],"label_agreement":null},{"id":"W4377013770","doi":"10.1175/jtech-d-22-0131.1","title":"A CO2 and H2O Gas Analyzer with Reduced Error due to Platform Motion","year":2023,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Campbell Scientific (Canada)","funders":"National Science Foundation","keywords":"Buoy; Spectrum analyzer; Environmental science; Remote sensing; Noise (video); Gas analyzer; Flux (metallurgy); Computer science; Acoustics; Marine engineering; Materials science; Geology; Physics; Engineering; Telecommunications; Chemistry","score_opus":0.008222385209989833,"score_gpt":0.20575001636186285,"score_spread":0.19752763115187302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377013770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950432,0.0016994706,0.0010915751,0.0016021479,0.00011704393,0.00009863675,0.000004109337,0.00009903229,0.0002447771],"genre_scores_gemma":[0.9873076,0.00096251455,0.011415868,0.00015533494,0.00005915904,4.1770681e-7,0.0000022553393,0.000007394933,0.00008942423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988681,0.000013246,0.0003194905,0.00022051971,0.00021043382,0.00036822172],"domain_scores_gemma":[0.99928,0.000060957875,0.00022947713,0.000121970115,0.000099794874,0.00020784844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023328808,0.00017135222,0.0003600947,0.00003649961,0.00015110742,0.000042257492,0.0001775389,0.00014310791,0.0001323386],"category_scores_gemma":[0.000067893234,0.00011557577,0.000038367496,0.0018445622,0.00019737071,0.00025151105,0.000028720204,0.00024816205,0.000014596612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033260795,0.00003499097,0.5406143,0.00006810129,0.00017265951,0.0004137649,0.00049120194,0.0007218386,0.00012503326,0.00026691507,0.001715155,0.45504344],"study_design_scores_gemma":[0.0015013805,0.0031984467,0.95910126,0.00016612282,0.00015585913,0.0032711,0.0072304136,0.008308674,0.00021084752,0.005333022,0.011047118,0.0004757361],"about_ca_topic_score_codex":0.000040993826,"about_ca_topic_score_gemma":0.00006208933,"teacher_disagreement_score":0.4545677,"about_ca_system_score_codex":0.0000056799395,"about_ca_system_score_gemma":0.000075091324,"threshold_uncertainty_score":0.4713043},"labels":[],"label_agreement":null},{"id":"W4384935649","doi":"10.1175/jtech-d-22-0106.1","title":"Diagnosing Seasonal Forecast Skill of the Indian Ocean Dipole Mode Using Model Analogs","year":2023,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Fundamental Research Funds for the Central Universities; Hohai University; National Natural Science Foundation of China","keywords":"Hindcast; Forecast skill; Climatology; Predictability; Forcing (mathematics); Coupled model intercomparison project; Anomaly (physics); Mode (computer interface); Data assimilation; Environmental science; Indian Ocean Dipole; Sea surface temperature; Meteorology; Computer science; Geology; Oceanography; Climate model; Statistics; Geography; Mathematics; Climate change; Physics","score_opus":0.008961591146334635,"score_gpt":0.21891430330723813,"score_spread":0.2099527121609035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384935649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99515754,0.0024078803,0.0014428591,0.0005150356,0.00021831888,0.00007808378,0.000020985082,0.000045058292,0.000114246024],"genre_scores_gemma":[0.9916215,0.0008903897,0.007261812,0.00010718486,0.000060647875,8.8524e-8,0.00000159429,0.000009008737,0.00004776407],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862915,0.000032137064,0.00048103643,0.00018277076,0.00030633822,0.00036859175],"domain_scores_gemma":[0.9989418,0.00010511029,0.00054703327,0.00018338425,0.00011640776,0.000106262734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002680394,0.00018012717,0.0003835753,0.000027007414,0.00022878434,0.000026139369,0.00048274573,0.00018468752,0.000053638098],"category_scores_gemma":[0.00012558156,0.00011723569,0.00014039407,0.0018243794,0.00044206355,0.0002446027,0.000067833906,0.00035526016,0.0000022981894],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003467994,0.000032277832,0.9196109,0.00005645125,0.000089656365,0.000044107535,0.00034668585,0.0448245,0.000057265086,0.00027737222,0.0006292965,0.03399679],"study_design_scores_gemma":[0.0007391037,0.00038517627,0.22694169,0.00024511613,0.00014353718,0.00065293733,0.003560323,0.74154794,0.00031921957,0.024772868,0.0003798843,0.00031221999],"about_ca_topic_score_codex":0.00005578815,"about_ca_topic_score_gemma":0.00003271203,"teacher_disagreement_score":0.6967234,"about_ca_system_score_codex":0.000009180227,"about_ca_system_score_gemma":0.00022405098,"threshold_uncertainty_score":0.4780733},"labels":[],"label_agreement":null},{"id":"W4386497962","doi":"10.1175/jtech-d-23-0045.1","title":"Swish Floats: An Inexpensive Neutrally Buoyant Float to Monitor Dispersion in Coastal Seas","year":2023,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Marine Environmental Observation Prediction and Response Network","keywords":"Float (project management); Marine engineering; Neutral buoyancy; Satellite; Environmental science; Remote sensing; Meteorology; Drifter; Dispersion (optics); Isopycnal; Geology; Sampling (signal processing); Computer science; Lagrangian; Oceanography; Aerospace engineering; Engineering; Mechanics; Physics; Detector; Telecommunications","score_opus":0.006608894266871935,"score_gpt":0.21717685461689035,"score_spread":0.2105679603500184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386497962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959818,0.001465436,0.00023834639,0.0015496518,0.00042182795,0.00012631169,0.00001045322,0.00010279956,0.00010333445],"genre_scores_gemma":[0.993623,0.0014912883,0.0043936297,0.00027038,0.00014537637,4.9588505e-7,0.0000051587754,0.0000097903085,0.00006088601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848837,0.000041392283,0.00046843512,0.00027827037,0.00026755792,0.0004559526],"domain_scores_gemma":[0.9991649,0.000074235635,0.00020630537,0.00016620962,0.000133124,0.00025524967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002789801,0.00020839898,0.0004095507,0.000049840015,0.00011872852,0.0000477592,0.00040145617,0.00019293664,0.00011508447],"category_scores_gemma":[0.00010504682,0.0001628545,0.00006634696,0.0021077443,0.00015871912,0.00040951907,0.00005423174,0.00037214256,0.000030228774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026467082,0.000076588556,0.8347221,0.000038453338,0.000047555797,0.0007068187,0.0005381969,0.002164015,0.00055447745,0.00017153515,0.0012967356,0.15941887],"study_design_scores_gemma":[0.0011402685,0.0025740054,0.968828,0.00014889521,0.00003948071,0.0004858663,0.011289761,0.008268052,0.00029608395,0.0027933163,0.003731698,0.00040454615],"about_ca_topic_score_codex":0.00013145161,"about_ca_topic_score_gemma":0.00037933653,"teacher_disagreement_score":0.15901433,"about_ca_system_score_codex":0.000008789641,"about_ca_system_score_gemma":0.00009347532,"threshold_uncertainty_score":0.66410136},"labels":[],"label_agreement":null},{"id":"W4387187939","doi":"10.1175/jtech-d-23-0043.1","title":"Multisensor Agile Adaptive Sampling (MAAS): A Methodology to Collect Radar Observations of Convective Cell Life Cycle","year":2023,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Science Mission Directorate; Biological and Environmental Research; National Science Foundation","keywords":"Radar; Computer science; Remote sensing; Agile software development; Environmental science; Meteorology; Geology; Geography; Telecommunications","score_opus":0.07634053430336622,"score_gpt":0.27333907919482175,"score_spread":0.19699854489145552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387187939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98487425,0.0007012455,0.012892141,0.00077387854,0.0001893783,0.0001748073,0.00002789434,0.000047627174,0.00031879838],"genre_scores_gemma":[0.8597446,0.00012886865,0.13979927,0.00019299157,0.00003672766,7.0576124e-7,0.0000022285465,0.000004211153,0.00009042219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998773,0.00014291963,0.0005006786,0.00018053388,0.00014391687,0.00025899598],"domain_scores_gemma":[0.9979663,0.0012319997,0.00034815542,0.00012188553,0.00018028001,0.00015136099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005054966,0.00012298094,0.00046857272,0.0000663147,0.00014663182,0.000008831007,0.00021001634,0.0001617745,0.00029625196],"category_scores_gemma":[0.0008653592,0.000095509924,0.00007732661,0.0013835586,0.00015856334,0.00008368766,0.000034989174,0.0002494852,0.00001818723],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020748887,0.0002813529,0.43004808,0.00012712525,0.0008308071,0.00020175714,0.004467148,0.43836972,0.029732788,0.0076638,0.004094238,0.08210829],"study_design_scores_gemma":[0.0015167838,0.003534203,0.89167255,0.00003185953,0.00011867754,0.00006408828,0.005572345,0.06806407,0.00060869154,0.025989471,0.0025378922,0.00028937656],"about_ca_topic_score_codex":0.000067478344,"about_ca_topic_score_gemma":0.00004560647,"teacher_disagreement_score":0.46162444,"about_ca_system_score_codex":0.000011843609,"about_ca_system_score_gemma":0.00012224849,"threshold_uncertainty_score":0.38947818},"labels":[],"label_agreement":null},{"id":"W4390886776","doi":"10.1175/jtech-d-23-0073.1","title":"The Water-Following Performance of Various Lagrangian Surface Drifters Measured in a Dye Release Experiment","year":2024,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Drifter; Environmental science; Drag; Wind speed; Mixed layer; Surface layer; TRACER; Meteorology; Stokes drift; Lagrangian; Geology; Oceanography; Mechanics; Surface wave; Materials science; Layer (electronics); Physics; Optics","score_opus":0.003937161026424961,"score_gpt":0.18865389649015507,"score_spread":0.1847167354637301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390886776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434818,0.054869745,0.00013598827,0.0007506664,0.0004977315,0.00007230616,7.950039e-7,0.00003540544,0.00015556827],"genre_scores_gemma":[0.99340653,0.0045296494,0.0019083889,0.000034917543,0.000025234442,2.5453122e-7,4.87238e-7,0.0000061981027,0.00008832199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874806,0.000036366833,0.00049112213,0.00016267663,0.0002460297,0.00031575037],"domain_scores_gemma":[0.99952126,0.000097390366,0.00013450473,0.00013128412,0.000046775913,0.00006881075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005438321,0.00015020376,0.00029652487,0.000014784605,0.00008590009,0.00003643872,0.00030922415,0.00012246746,0.0000692309],"category_scores_gemma":[0.000033279743,0.00007438836,0.000101405516,0.0005401104,0.00021525384,0.00021853714,0.000022637098,0.0003188364,0.0000036442666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005192595,0.00011268954,0.64205855,0.00033186705,0.00051335164,0.00073329423,0.0031275756,0.003047945,0.003733477,0.00042096857,0.00074457057,0.34465647],"study_design_scores_gemma":[0.008199632,0.013122449,0.4220503,0.0039487076,0.0010451351,0.004205616,0.037763685,0.2572994,0.04124728,0.010399267,0.19778559,0.0029329443],"about_ca_topic_score_codex":0.00006621692,"about_ca_topic_score_gemma":0.000032278847,"teacher_disagreement_score":0.34172353,"about_ca_system_score_codex":0.00001595314,"about_ca_system_score_gemma":0.00013139927,"threshold_uncertainty_score":0.3033469},"labels":[],"label_agreement":null},{"id":"W4402356953","doi":"10.1175/jtech-d-23-0144.1","title":"Implementing Superresolution of Nonstationary Tides with Wavelets: An Introduction to CWT_Multi","year":2024,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Pacific Northwest National Laboratory","keywords":"Wavelet; Remote sensing; Continuous wavelet transform; Computer science; Resolution (logic); Environmental science; Geology; Meteorology; Wavelet transform; Artificial intelligence; Physics; Discrete wavelet transform","score_opus":0.007554437535463833,"score_gpt":0.26435892265113864,"score_spread":0.25680448511567483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402356953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38136894,0.0007345818,0.61495155,0.0027027128,0.00015009065,0.000036764715,3.2515678e-7,0.00003888318,0.000016138863],"genre_scores_gemma":[0.56117785,0.00003475598,0.43862617,0.000035230652,0.000098061864,4.8948687e-7,1.9869542e-7,0.000004765934,0.000022478154],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991547,0.000044534063,0.00030564595,0.00017434424,0.00014946432,0.0001712972],"domain_scores_gemma":[0.9994741,0.000047551745,0.00011282449,0.00015153999,0.0001707558,0.000043205022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060851173,0.000081151105,0.00016870607,0.0000571487,0.00006977536,0.000047205587,0.00023201326,0.00005337452,0.000008418199],"category_scores_gemma":[0.000057930534,0.000060178074,0.000028091372,0.0006892486,0.00006190134,0.0005343357,0.00008563697,0.00016582808,8.514322e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007579474,0.000063889005,0.0013332779,0.0000522215,0.00008217353,0.00012299263,0.0010245907,0.00022506868,0.057518426,0.04111788,0.00092909223,0.8974546],"study_design_scores_gemma":[0.0057561863,0.02391843,0.055299595,0.0012435615,0.00050174486,0.02608921,0.0112995,0.49834836,0.15111426,0.06944875,0.15511943,0.0018609852],"about_ca_topic_score_codex":0.000005988877,"about_ca_topic_score_gemma":0.0000014596316,"teacher_disagreement_score":0.8955936,"about_ca_system_score_codex":0.000033927594,"about_ca_system_score_gemma":0.000089952766,"threshold_uncertainty_score":0.24539907},"labels":[],"label_agreement":null},{"id":"W4410396998","doi":"10.1175/jtech-d-24-0004.1","title":"Comparing Precipitation Particle Sizes and Phases from the Surface to Aloft during the In-Cloud Icing and Large-Drop Experiment (ICICLE)","year":2025,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Environment and Climate Change Canada","funders":"Federal Aviation Administration; National Science Foundation","keywords":"Icing; Environmental science; Meteorology; Drop (telecommunication); Cloud physics; Atmospheric sciences; Precipitation; Icing conditions; Particle (ecology); Mechanics; Cloud computing; Geology; Physics; Computer science","score_opus":0.00642887017675255,"score_gpt":0.22530661864458354,"score_spread":0.21887774846783098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410396998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98348624,0.007832394,0.006692166,0.0015884896,0.00014113387,0.00010342969,5.93932e-7,0.00012831904,0.000027229642],"genre_scores_gemma":[0.9970999,0.00069018,0.0021005494,0.000062839645,0.000021795446,0.0000020734283,6.2991305e-8,0.000009405892,0.000013211728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930215,0.000020907706,0.0002883857,0.000116611474,0.000071689145,0.00020025953],"domain_scores_gemma":[0.9995186,0.00021783909,0.00006705329,0.00014795481,0.000025723348,0.00002283558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020507081,0.0001169876,0.00023720291,0.0000148346735,0.0001452219,0.000045430465,0.00015260275,0.000084808125,0.0000018866122],"category_scores_gemma":[0.00012230901,0.000075001,0.000017895401,0.0003208076,0.00009838324,0.00007236467,0.00013372218,0.0002742687,3.248796e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019570481,0.00010064643,0.82340676,0.000101268415,0.0003102026,0.0000465374,0.008512854,0.018872423,0.07765912,0.003696297,0.00081692054,0.06628129],"study_design_scores_gemma":[0.003981069,0.00048290397,0.5774077,0.001054521,0.00015469211,0.00017726622,0.042041298,0.10934615,0.25640786,0.0064896005,0.001963392,0.0004935295],"about_ca_topic_score_codex":0.00004131306,"about_ca_topic_score_gemma":0.000040911447,"teacher_disagreement_score":0.24599902,"about_ca_system_score_codex":0.00004443648,"about_ca_system_score_gemma":0.000009783259,"threshold_uncertainty_score":0.3058452},"labels":[],"label_agreement":null},{"id":"W4410815365","doi":"10.1175/jtech-d-24-0058.1","title":"Estimation of Bottom Friction in Modeling Tidal Dynamics of Port Phillip Bay","year":2025,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"Department of Energy, Environment and Climate Action","keywords":"Bay; Port (circuit theory); Environmental science; Estimation; Oceanography; Ocean dynamics; Marine engineering; Meteorology; Geology; Ocean current; Geography; Engineering","score_opus":0.007175460930970774,"score_gpt":0.23330716420173866,"score_spread":0.2261317032707679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410815365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7883272,0.00055880286,0.21030782,0.00034626393,0.00008437967,0.000044221335,0.0000028452066,0.0000062753265,0.0003221574],"genre_scores_gemma":[0.97404027,0.00032886965,0.025575863,0.000008375475,0.000008170696,7.593201e-8,0.0000020752495,0.0000017734138,0.000034538374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991572,0.000019993036,0.0004509495,0.000082645674,0.00015923008,0.00012998951],"domain_scores_gemma":[0.99954975,0.00004984991,0.0001965513,0.000080953745,0.00009860024,0.000024313826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003088269,0.000064008746,0.00022999261,0.00007728296,0.000025319556,0.0000062902736,0.00015249378,0.00013627736,0.00004648034],"category_scores_gemma":[0.00005160495,0.00005261902,0.00002996177,0.00058697996,0.00008790934,0.000105839856,0.000018265957,0.0002730699,4.5517254e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008263817,0.000041552732,0.34416243,0.000076128774,0.000040330764,0.000014433641,0.000052166357,0.49689,0.0001788766,0.0005204434,0.00001796287,0.15792303],"study_design_scores_gemma":[0.0002909572,0.00021271891,0.03203833,0.000057344096,0.000017413791,0.000032850654,0.00027590687,0.9530958,0.00012352369,0.013808149,0.0000093259805,0.000037661364],"about_ca_topic_score_codex":0.00009930782,"about_ca_topic_score_gemma":0.000090004534,"teacher_disagreement_score":0.45620582,"about_ca_system_score_codex":0.000019425808,"about_ca_system_score_gemma":0.00011660021,"threshold_uncertainty_score":0.21457413},"labels":[],"label_agreement":null},{"id":"W4413196938","doi":"10.1175/jtech-d-24-0105.1","title":"Sea Surface Salinity Variability from Satellite and In Situ Observations around Greenland","year":2025,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National d’Etudes Spatiales; European Space Agency","keywords":"Ocean gyre; SSS*; Satellite; Climatology; Environmental science; Salinity; Oceanography; Sea surface temperature; Argo; Geology; Subtropics","score_opus":0.008923956931289941,"score_gpt":0.21038058394179987,"score_spread":0.20145662701050993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413196938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809767,0.015336197,0.0016406938,0.001229923,0.00017757819,0.000081078215,0.000010852783,0.000030391288,0.0005165688],"genre_scores_gemma":[0.97453403,0.0045350734,0.020666448,0.00017822643,0.000029223434,1.1926463e-7,0.00000350151,0.000002737705,0.000050640934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886626,0.000070080896,0.00048647297,0.00023268157,0.00012131662,0.0002231686],"domain_scores_gemma":[0.99904066,0.00041272878,0.00022912078,0.0001530688,0.00008798234,0.000076428216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000460226,0.00015484983,0.0003873954,0.000013769657,0.00010654387,0.000042822794,0.00021976825,0.00021339471,0.000049424827],"category_scores_gemma":[0.0001953005,0.00012294686,0.000040344043,0.001006859,0.00029606442,0.00025583705,0.00003571688,0.0003889511,0.0000011996727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006887814,0.00003178491,0.9716722,0.00002591345,0.00004458111,0.000020236446,0.000047767036,0.00012273254,0.00005528969,0.00018622412,0.00005769389,0.027666744],"study_design_scores_gemma":[0.00054446614,0.00011383182,0.9526714,0.00006043213,0.00004383518,0.000030174264,0.0006157695,0.0022545226,0.00003897295,0.04140639,0.0021055145,0.0001147065],"about_ca_topic_score_codex":0.0003124791,"about_ca_topic_score_gemma":0.0006428604,"teacher_disagreement_score":0.041220166,"about_ca_system_score_codex":0.000008732296,"about_ca_system_score_gemma":0.00013870694,"threshold_uncertainty_score":0.5013628},"labels":[],"label_agreement":null},{"id":"W4415806189","doi":"10.1175/jtech-d-24-0102.1","title":"A Drift-Towing Ocean Profiling (DTOP) System for Monitoring the Ice-Covered Upper Ocean in Polar Regions","year":2025,"lang":"","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Sea ice; Arctic; Cryosphere; Arctic ice pack; Iceberg; Hydrography; Ice shelf; Polar; Polar night","score_opus":0.006689987388124513,"score_gpt":0.21778107786700476,"score_spread":0.21109109047888025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415806189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694245,0.012647839,0.00766121,0.0069275787,0.0023547907,0.00062751793,0.000023680142,0.00005201702,0.00028089428],"genre_scores_gemma":[0.9859821,0.0026532442,0.010599951,0.00017122386,0.00026289554,9.03907e-7,0.000002665291,0.000018594337,0.00030840086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969239,0.00013682166,0.0013552029,0.00044098654,0.00030848203,0.0008346009],"domain_scores_gemma":[0.9977629,0.000662442,0.0008604524,0.00038375656,0.00019441303,0.00013603685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001320571,0.00041417778,0.0008597552,0.00011201759,0.00078853685,0.00013639951,0.0008498004,0.0007007269,0.000012728674],"category_scores_gemma":[0.00035924147,0.00029824482,0.00028460773,0.0013963192,0.00045091505,0.0003327766,0.00012439095,0.00167596,0.000001973276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041641534,0.00008602331,0.9547717,0.00057614985,0.00039570412,0.00013534757,0.0009664908,0.0012696486,0.00006282285,0.012642544,0.00018017678,0.028496977],"study_design_scores_gemma":[0.010850659,0.004008028,0.3347539,0.010193207,0.002416215,0.004665583,0.2983936,0.2780987,0.00053317775,0.029703686,0.024330176,0.002053075],"about_ca_topic_score_codex":0.00012256713,"about_ca_topic_score_gemma":0.00001806417,"teacher_disagreement_score":0.6200178,"about_ca_system_score_codex":0.00013751928,"about_ca_system_score_gemma":0.0005830097,"threshold_uncertainty_score":0.99994695},"labels":[],"label_agreement":null},{"id":"W4416436364","doi":"10.1175/jtech-d-25-0006.1","title":"An Intercomparison of the Sparv Windsond S1H2 and Vaisala RS41-SGP in Severe Weather Environments","year":2025,"lang":"","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"NOAA Research","keywords":"Depth sounding; Daytime; Atmosphere (unit); Convection; Atmospheric sounding; Sampling (signal processing); Sounding rocket; Convective storm detection","score_opus":0.0066594601816158255,"score_gpt":0.21882152289426565,"score_spread":0.2121620627126498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416436364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864334,0.01064727,0.0005142787,0.0011423293,0.0003255749,0.00016205345,0.000006896703,0.000005248522,0.00076297193],"genre_scores_gemma":[0.996477,0.0016242359,0.0014016541,0.00018536935,0.000026561338,2.6527874e-7,5.25652e-7,0.000004268965,0.000280093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998242,0.00019536934,0.0008239835,0.00026039756,0.0001838216,0.0002944037],"domain_scores_gemma":[0.99888426,0.00020115428,0.0005201907,0.00027287455,0.000025936775,0.00009560121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000493366,0.00021329484,0.0005931231,0.00004581188,0.00013380143,0.00002984638,0.0004891878,0.0003489581,0.00047953633],"category_scores_gemma":[0.00009656065,0.00013668966,0.00007921033,0.0006264789,0.0006270231,0.00020194933,0.000100088444,0.0005354031,0.0000021827896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001606403,0.00018843566,0.90117985,0.000026985424,0.00008652048,0.000010617345,0.00034024537,0.0022742145,0.00024093575,0.0006830687,0.00008877553,0.0947197],"study_design_scores_gemma":[0.0013571072,0.0012073967,0.9604721,0.00013919134,0.00011445851,0.00006628139,0.0018108225,0.015275284,0.00006576686,0.013362457,0.005973131,0.00015601225],"about_ca_topic_score_codex":0.000039151677,"about_ca_topic_score_gemma":0.000070945876,"teacher_disagreement_score":0.094563685,"about_ca_system_score_codex":0.000017500677,"about_ca_system_score_gemma":0.00007423156,"threshold_uncertainty_score":0.5574043},"labels":[],"label_agreement":null},{"id":"W7105855610","doi":"10.1175/jtech-d-25-0051.1","title":"New research capabilities of a fully portable LMA designed for short-fuse targets","year":2025,"lang":"","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Software deployment; Storm; Landfall; Lightning (connector); Lightning detection; Variety (cybernetics); Sampling (signal processing); Electrification","score_opus":0.011890144958664634,"score_gpt":0.28627921660676486,"score_spread":0.2743890716481002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105855610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89896023,0.030560713,0.06364227,0.0037489375,0.000490251,0.0006444312,0.000011624136,0.000026619195,0.0019149417],"genre_scores_gemma":[0.95868385,0.00058459956,0.034938436,0.000028068529,0.00026329688,0.000010793451,0.0000012200658,0.00002986541,0.0054598893],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99704766,0.00010445257,0.0012838232,0.00038406334,0.0003072702,0.0008727472],"domain_scores_gemma":[0.99754477,0.0004466087,0.00052566896,0.00042784231,0.0008715834,0.00018354839],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011746765,0.00032359659,0.0010567076,0.0001122391,0.0002934066,0.00006282558,0.000628969,0.0003278183,0.00015552963],"category_scores_gemma":[0.00018273713,0.00028663143,0.0002501478,0.0012151209,0.00051261147,0.00016469244,0.00019273293,0.0008303744,0.0000013749515],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002262639,0.0014842254,0.035601754,0.00097112916,0.0030686765,0.000033089982,0.0027172528,0.0001008057,0.049996097,0.3785894,0.07761292,0.447562],"study_design_scores_gemma":[0.008852974,0.023599187,0.0049598548,0.0015107053,0.001412414,0.00012599818,0.02542003,0.0018398564,0.06286673,0.7543344,0.11399569,0.0010821865],"about_ca_topic_score_codex":0.00007849114,"about_ca_topic_score_gemma":0.0000029727114,"teacher_disagreement_score":0.4464798,"about_ca_system_score_codex":0.00012540494,"about_ca_system_score_gemma":0.0019269302,"threshold_uncertainty_score":0.9999586},"labels":[],"label_agreement":null}]}