{"meta":{"query_hash":"5d6f47f32b0e","filters":{"venue":"Journal of Applied Meteorology"},"cohort_total":29,"direct_labels_cover":0,"predictions_cover":29,"exported":29,"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/5d6f47f32b0e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Applied+Meteorology"},"results":[{"id":"W1594134570","doi":"10.1175/1520-0450-39.10.1679","title":"Modeling Surface Sensible Heat Flux Using Surface Radiative Temperatures in a Simple Urban Area","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":188,"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":"Sensible heat; Environmental science; Surface (topology); Momentum (technical analysis); Heat flux; Radiative transfer; Microscale chemistry; Meteorology; Surface roughness; Atmospheric sciences; Heat transfer; Flux (metallurgy); Surface finish; Thermal; Latent heat; Urban heat island; Remote sensing; Materials science; Mechanics; Geology; Geometry; Geography; Mathematics; Physics","score_opus":0.015356667915390037,"score_gpt":0.23297130546126293,"score_spread":0.2176146375458729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594134570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663574,0.000025198027,0.0017843336,0.000015745876,0.0000025438935,0.000011654512,0.00014491283,0.000037398328,0.0013426516],"genre_scores_gemma":[0.99904233,0.000022300617,0.00043232503,0.0000022891122,0.0000017319481,0.0000074530267,0.00008140332,0.000004775841,0.00040529235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990916,0.000018086675,0.00000236017,0.000025672489,0.000014649717,0.000029989802],"domain_scores_gemma":[0.99988174,0.000046243735,0.000012200628,0.000009792744,0.000032994107,0.000017083783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001155892,0.00036505106,0.00026691396,0.00033735973,0.000505339,0.00072587753,0.00055074575,0.00039732142,0.0007270898],"category_scores_gemma":[0.00033991697,0.000228403,0.00032046382,0.0005711978,0.00046254185,0.00024575417,0.00024501624,0.0002495219,0.00010333421],"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":[0.00005187,0.00004807587,0.01275578,0.000014162926,0.00001798497,0.000091353344,0.00003767887,0.9825904,0.002119452,0.0002783367,0.00012016098,0.0018747564],"study_design_scores_gemma":[0.000021235397,0.000019146273,0.012435281,0.0000018555796,0.000008330141,0.00000986364,0.000055950008,0.98670435,0.00044685454,0.00014236751,0.00014761768,0.000007189041],"about_ca_topic_score_codex":0.44496942,"about_ca_topic_score_gemma":0.40993372,"teacher_disagreement_score":0.44496942,"about_ca_system_score_codex":0.0018103609,"about_ca_system_score_gemma":0.0009816745,"threshold_uncertainty_score":0.88475883},"labels":[],"label_agreement":null},{"id":"W1989920486","doi":"10.1175/1520-0450(2002)041<0640:aopalm>2.0.co;2","title":"Accuracy of Point and Line Measures of Boundary Layer Cloud Amount","year":2002,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":29,"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","keywords":"Ceilometer; Pyranometer; Cloud cover; Environmental science; Cover (algebra); Meteorology; Boundary layer; Remote sensing; Planetary boundary layer; Sampling (signal processing); Lidar; Computer science; Cloud computing; Geology; Aerospace engineering; Geography; Irradiance; Physics","score_opus":0.021297217821746987,"score_gpt":0.2328347753533428,"score_spread":0.2115375575315958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989920486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93130004,0.0012156958,0.055323526,0.0001006547,0.00007067356,0.000046306483,0.0017548625,0.0011286965,0.009059464],"genre_scores_gemma":[0.98450655,0.00015196868,0.013761121,0.00003042961,0.000019932148,0.000018393359,0.00074458733,0.000038390514,0.00072862225],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99773526,0.00070054265,0.00014984306,0.00056115777,0.0007406202,0.00011258199],"domain_scores_gemma":[0.9920055,0.0039864727,0.0010771063,0.0012542879,0.0015324493,0.00014414155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021089662,0.0002717553,0.00038789024,0.0014575662,0.00022412126,0.0012002101,0.0006196024,0.0005519431,0.00129745],"category_scores_gemma":[0.014089264,0.00021266866,0.000262999,0.0009281797,0.0003766648,0.0013378966,0.0007847067,0.00026641868,0.00075050385],"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":[0.0019247631,0.00012681684,0.52310616,0.00033531574,0.0006095853,0.00013137986,0.0012800654,0.043560218,0.038545657,0.0027387321,0.002057168,0.38558418],"study_design_scores_gemma":[0.00007545602,0.00043397138,0.80105805,0.00013525801,0.0001091984,0.00031967444,0.00065753213,0.16404402,0.024714975,0.0033965828,0.0049103075,0.00014487878],"about_ca_topic_score_codex":0.0047964486,"about_ca_topic_score_gemma":0.004277721,"teacher_disagreement_score":0.0047964486,"about_ca_system_score_codex":0.0002993993,"about_ca_system_score_gemma":0.00015130096,"threshold_uncertainty_score":0.0111534},"labels":[],"label_agreement":null},{"id":"W1999724017","doi":"10.1175/1520-0450(2002)041<1241:dmofc>2.0.co;2","title":"Dynamic Model of Facial Cooling","year":2002,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Infection Control and Ventilation","field":"Medicine","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":"Defence Research and Development Canada","funders":"","keywords":"Thermal conduction; Mechanics; Thermal; Convection; Materials science; Radiative transfer; Heat transfer; Cheek; Transient (computer programming); Thermodynamics; Optics; Physics; Computer science; Medicine; Anatomy; Composite material","score_opus":0.02054168430682411,"score_gpt":0.2615265108128124,"score_spread":0.24098482650598832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999724017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13968201,0.0010215719,0.7663347,0.0015381881,0.00038945823,0.0002166155,0.0020166335,0.00091313367,0.087887645],"genre_scores_gemma":[0.9439086,0.00065049384,0.011387669,0.0001678605,0.0000778168,0.0003981138,0.00040669166,0.00015100942,0.042851627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981815,0.000030986797,0.000006206776,0.000056114768,0.000048787773,0.000039795694],"domain_scores_gemma":[0.9998652,0.000041337327,0.000024889698,0.000009566503,0.00004109241,0.000017864708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002512122,0.00068373984,0.0007408723,0.00040209386,0.0006201994,0.0010078095,0.0014862962,0.0013590221,0.007684774],"category_scores_gemma":[0.000856233,0.00050113606,0.0007096116,0.0002711572,0.0008046002,0.0009920038,0.00085764774,0.00090521405,0.0011872262],"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":[0.000021193719,0.000009075344,0.00027185402,0.000020737465,0.000007597138,0.00006332135,0.000032940345,0.9874555,0.0021312716,0.007093285,0.00044667194,0.0024466026],"study_design_scores_gemma":[0.000006872062,0.0000075512994,0.0001899493,0.0000030963467,0.0000038828816,0.000020097545,0.0000074512336,0.99742836,0.00015648051,0.0012401226,0.0009305675,0.0000056294125],"about_ca_topic_score_codex":0.022202212,"about_ca_topic_score_gemma":0.007983451,"teacher_disagreement_score":0.022202212,"about_ca_system_score_codex":0.001179793,"about_ca_system_score_gemma":0.0013392774,"threshold_uncertainty_score":0.044146},"labels":[],"label_agreement":null},{"id":"W2003550469","doi":"10.1175/1520-0450(2003)042<1139:adstda>2.0.co;2","title":"A Daily Soil Temperature Dataset and Soil Temperature Climatology of the Contiguous United States","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":181,"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; Snow cover; Snow; Climatology; Soil water; Climate change; Growing season; Atmospheric sciences; Geology; Meteorology; Soil science; Geography","score_opus":0.013737447590346896,"score_gpt":0.22284045813370934,"score_spread":0.20910301054336244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003550469","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079249896,0.0000812125,0.00093841355,0.00009633468,0.000022793807,0.00010736471,0.9158929,0.0005569575,0.00305411],"genre_scores_gemma":[0.08381255,0.00006847359,0.0028379692,0.0000328502,0.00001108049,0.00027307306,0.9116325,0.000031744396,0.0012998313],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9997547,0.000033080873,0.000034772995,0.00007299608,0.00007311926,0.000031173637],"domain_scores_gemma":[0.99872977,0.000074134674,0.00020536894,0.0002138295,0.0006679834,0.00010881068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027630987,0.0004840548,0.00036285547,0.0013544352,0.00034396438,0.00037525236,0.0006197436,0.0003138686,0.0039153947],"category_scores_gemma":[0.00087623345,0.00021570083,0.00021735058,0.0040012966,0.000108009495,0.00026273032,0.00038443532,0.0003420809,0.0023285565],"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":[0.0005027451,0.0005846753,0.4414678,0.0006470491,0.00041160904,0.0005433952,0.00061124703,0.012440374,0.0057202447,0.0012866512,0.4776104,0.058173727],"study_design_scores_gemma":[0.00013841916,0.000060581504,0.8278411,0.000050349234,0.000049531835,0.000113729504,0.00039199088,0.009948018,0.0017634007,0.00027324288,0.15934049,0.00002922933],"about_ca_topic_score_codex":0.14941774,"about_ca_topic_score_gemma":0.22753358,"teacher_disagreement_score":0.14941774,"about_ca_system_score_codex":0.0006695202,"about_ca_system_score_gemma":0.0013798828,"threshold_uncertainty_score":0.29709607},"labels":[],"label_agreement":null},{"id":"W2044230453","doi":"10.1175/1520-0450(2000)039<2385:frsffu>2.0.co;2","title":"Freezing Rain Simulations for Fixed, Unheated Conductor Samples","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Icing and De-icing Technologies","field":"Engineering","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":"University of Manitoba","funders":"","keywords":"Dimensionless quantity; Precipitation; Wind tunnel; Mechanics; Conductor; Environmental science; Freezing rain; Meteorology; Atmospheric sciences; Materials science; Ice formation; Ice crystals; Geology; Physics; Composite material","score_opus":0.022685475604009693,"score_gpt":0.24383988013403948,"score_spread":0.2211544045300298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044230453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445987,0.00004607208,0.0036292071,0.000029607156,0.000011541583,0.00002320767,0.00034014572,0.000052050207,0.0014083302],"genre_scores_gemma":[0.9978079,0.000047820533,0.0015158607,0.0000081995395,0.0000034615648,0.000020870515,0.00025303627,0.000018251823,0.00032456833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999229,0.000009257677,0.0000035422318,0.000013687899,0.00001868644,0.000031908923],"domain_scores_gemma":[0.9995937,0.00021862131,0.000033627213,0.000037575523,0.00007499071,0.00004153785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022207624,0.00025672212,0.00034409526,0.0002164233,0.000294166,0.00026912586,0.0006552228,0.0004069979,0.0017845376],"category_scores_gemma":[0.0009761806,0.00016845812,0.0004159545,0.00026612266,0.00041306324,0.00034558168,0.00024100726,0.0004360132,0.000101411824],"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":[0.00018495538,0.00007909481,0.0055458206,0.000070126865,0.00003825979,0.0002956819,0.0001435341,0.9740806,0.015694901,0.0008648944,0.00033788482,0.0026642708],"study_design_scores_gemma":[0.00003467033,0.00014363643,0.0031691112,0.000005635511,0.000012699506,0.000027679847,0.00008486835,0.99003017,0.0059996406,0.00029692985,0.00018612627,0.0000088897805],"about_ca_topic_score_codex":0.008285484,"about_ca_topic_score_gemma":0.0055729947,"teacher_disagreement_score":0.008285484,"about_ca_system_score_codex":0.00039305555,"about_ca_system_score_gemma":0.0002603564,"threshold_uncertainty_score":0.016474545},"labels":[],"label_agreement":null},{"id":"W2099206300","doi":"10.1175/jam2214.1","title":"Deducing Ground-to-Air Emissions from Observed Trace Gas Concentrations: A Field Trial with Wind Disturbance","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":92,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Environmental science; Atmospheric dispersion modeling; Meteorology; Inverse; Dispersion (optics); Wind speed; Fence (mathematics); Atmospheric sciences; Mathematics; Physics; Air pollution; Geometry; Optics","score_opus":0.016454516655050645,"score_gpt":0.2319485294413181,"score_spread":0.21549401278626745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099206300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539965,0.000014507312,0.0040448527,0.000031521893,0.000008293503,0.00006175085,0.000103937426,0.000046285564,0.0002892668],"genre_scores_gemma":[0.99568295,0.000009113832,0.0038743615,0.000012660194,0.0000039668066,0.00003905007,0.0001432452,0.000006088875,0.00022857882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992562,0.0002803905,0.00005857496,0.0002183092,0.00011510013,0.00007136118],"domain_scores_gemma":[0.99197364,0.005665208,0.00036640177,0.00076749554,0.001018325,0.0002090305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00342576,0.0004938203,0.00063972594,0.00043985154,0.0007907648,0.00051356986,0.00090189354,0.0009338418,0.0007836747],"category_scores_gemma":[0.00554249,0.00031310678,0.00043474467,0.00043956548,0.0009037399,0.0009343134,0.00050389505,0.0007981414,0.00015268286],"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":[0.017215203,0.014774259,0.17453147,0.00059206545,0.0004030534,0.0013292868,0.0018656445,0.5800589,0.08893741,0.0022074112,0.00156757,0.11651775],"study_design_scores_gemma":[0.0011159627,0.012540573,0.04461844,0.00002980183,0.000112655565,0.00010985601,0.0007025111,0.87192416,0.06620089,0.0013854209,0.001180721,0.00007902308],"about_ca_topic_score_codex":0.011598193,"about_ca_topic_score_gemma":0.009730575,"teacher_disagreement_score":0.011598193,"about_ca_system_score_codex":0.00071837683,"about_ca_system_score_gemma":0.00060495205,"threshold_uncertainty_score":0.023061395},"labels":[],"label_agreement":null},{"id":"W2103642581","doi":"10.1175/1520-0450(2001)040<0229:maolsp>2.0.co;2","title":"Multifractal Analysis of Line-Source Plume Concentration Fluctuations in Surface-Layer Flows","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":23,"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":"Multifractal system; Plume; Scalar (mathematics); Line source; Turbulence; TRACER; Environmental science; Surface layer; Statistical physics; Mechanics; Geology; Meteorology; Physics; Mathematics; Materials science; Fractal; Layer (electronics); Mathematical analysis; Geometry; Optics","score_opus":0.012864557070376323,"score_gpt":0.24664519947417002,"score_spread":0.2337806424037937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103642581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7835479,0.00007562676,0.21578255,0.000044254615,0.0000033507542,0.000021684009,0.00009417209,0.00012494731,0.00030549755],"genre_scores_gemma":[0.98807865,0.000023040817,0.011736184,0.0000028103664,0.0000022181848,0.000008057554,0.000053338023,0.0000059770423,0.00008967048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99988055,0.000040099112,0.000008096193,0.000018310922,0.00003546038,0.000017545326],"domain_scores_gemma":[0.9993305,0.00031926582,0.00013107907,0.00005760648,0.00012902483,0.00003263441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057982333,0.00021450759,0.00014947308,0.0007083872,0.00015894207,0.0002815655,0.0002249026,0.0001643247,0.00019522334],"category_scores_gemma":[0.0021482725,0.00009051081,0.00028516835,0.00026889067,0.00023358554,0.00034259088,0.00016376816,0.00021800934,0.000036262456],"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":[0.00013186136,0.00005050953,0.022261998,0.000037091333,0.000044286968,0.00012761174,0.00013811943,0.89684254,0.03733237,0.011174766,0.00018164775,0.031677164],"study_design_scores_gemma":[0.000001774317,0.000011643243,0.0030359158,8.451729e-7,0.0000015638817,0.000012312855,0.0000050590197,0.9949527,0.0012543281,0.00066866115,0.000051168943,0.0000039652164],"about_ca_topic_score_codex":0.0039924677,"about_ca_topic_score_gemma":0.0016401901,"teacher_disagreement_score":0.0039924677,"about_ca_system_score_codex":0.000572549,"about_ca_system_score_gemma":0.0002696493,"threshold_uncertainty_score":0.007938445},"labels":[],"label_agreement":null},{"id":"W2106210883","doi":"10.1175/jam2253.1","title":"Error Statistics of VPR Corrections in Stratiform Precipitation","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Homogeneity (statistics); Range (aeronautics); Stratification (seeds); Precipitation; Radar; Root mean square; Ranging; Geology; Environmental science; Physics; Computational physics; Remote sensing; Geodesy; Meteorology; Mathematics; Statistics; Materials science; Computer science","score_opus":0.02101189470426284,"score_gpt":0.2485848565884376,"score_spread":0.22757296188417475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106210883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98508704,0.00011813671,0.012710169,0.000035557747,0.000029382501,0.000017827811,0.0008467125,0.0003960305,0.00075918325],"genre_scores_gemma":[0.9953269,0.000019570045,0.0033148634,0.000006215591,0.000006610363,0.000010037834,0.0010208264,0.00006823976,0.00022678766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.997551,0.0005907357,0.00020929283,0.00061807485,0.0008826978,0.00014810714],"domain_scores_gemma":[0.97763366,0.014636992,0.0019661253,0.0024954642,0.0030362017,0.00023168151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044742767,0.00036737308,0.00032868327,0.00092699454,0.00017861126,0.00062163925,0.00043033427,0.0002922659,0.00065108575],"category_scores_gemma":[0.017513052,0.00019205164,0.00036572787,0.0007952849,0.00037242105,0.0004557734,0.00050111936,0.00031332806,0.00021673221],"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":[0.0012525421,0.00014532312,0.3378481,0.00015296823,0.00046377952,0.00033640128,0.00024579486,0.5563206,0.015357935,0.0019090474,0.0014826494,0.08448491],"study_design_scores_gemma":[0.000054418593,0.00029558942,0.28480613,0.0000389042,0.00006803064,0.00029366976,0.00008080156,0.68091345,0.030780567,0.0012831765,0.001301791,0.000083460036],"about_ca_topic_score_codex":0.003658468,"about_ca_topic_score_gemma":0.0022543867,"teacher_disagreement_score":0.0044742767,"about_ca_system_score_codex":0.0004512592,"about_ca_system_score_gemma":0.0003111149,"threshold_uncertainty_score":0.023662567},"labels":[],"label_agreement":null},{"id":"W2111729796","doi":"10.1175/jam2195.1","title":"Wavelet Analysis of Variability, Teleconnectivity, and Predictability of the September–November East African Rainfall","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":51,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleconnection; Climatology; Predictability; Wavelet; Precipitation; Sea surface temperature; Correlation coefficient; Environmental science; Geography; Geology; Mathematics; Meteorology; Statistics; El Niño Southern Oscillation","score_opus":0.009911195255553226,"score_gpt":0.21995987864591282,"score_spread":0.2100486833903596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111729796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935241,0.00005121417,0.0058297184,0.0000265395,0.000003642462,0.0000033928304,0.00009460682,0.000011520765,0.00045529846],"genre_scores_gemma":[0.9990128,0.00003616721,0.00083936175,0.0000012449416,0.0000022730796,0.0000019232061,0.000053963453,0.0000021525354,0.0000501584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993443,0.000021709358,0.0000061316105,0.00001257477,0.000013483634,0.000011780234],"domain_scores_gemma":[0.9996984,0.0001469181,0.00006835005,0.000025070587,0.00004968964,0.000011514573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034324682,0.00011962868,0.0000826392,0.00063803745,0.000102497186,0.00024308957,0.00006975346,0.000061924235,0.00040493984],"category_scores_gemma":[0.0015180829,0.000064360655,0.00013594245,0.0008114819,0.00013726692,0.00017231029,0.00015871761,0.00018007144,0.00005417471],"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":[0.00058535807,0.00010022833,0.5919866,0.00011615341,0.00027094473,0.0006893294,0.0009278078,0.072098024,0.06851887,0.0044085477,0.0011587885,0.25913942],"study_design_scores_gemma":[0.0000066483667,0.000036180223,0.8646429,0.000012220815,0.000029138826,0.00009902558,0.00017104374,0.13127553,0.0022464525,0.0009082427,0.0005640378,0.000008640397],"about_ca_topic_score_codex":0.00176875,"about_ca_topic_score_gemma":0.0010887396,"teacher_disagreement_score":0.00176875,"about_ca_system_score_codex":0.00010971115,"about_ca_system_score_gemma":0.000100057805,"threshold_uncertainty_score":0.003516972},"labels":[],"label_agreement":null},{"id":"W2116356481","doi":"10.1175/jam2147.1","title":"Oblique, Stratified Winds about a Shelter Fence. Part II: Comparison of Measurements with Numerical Models","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":45,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Reynolds-averaged Navier–Stokes equations; Wind speed; Mechanics; Stratification (seeds); Turbulence; Meteorology; Turbulence kinetic energy; Wake; Amplitude; Geology; Atmospheric sciences; Environmental science; Physics; Optics","score_opus":0.03282498338631778,"score_gpt":0.2609163552180568,"score_spread":0.228091371831739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116356481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973477,0.000025034784,0.0015131955,0.0000073930523,0.00000349778,0.000008382788,0.0002370846,0.000054254324,0.0008034758],"genre_scores_gemma":[0.99825794,0.000024703522,0.0012710508,0.0000027536294,0.0000014467896,0.000006100222,0.00030705074,0.000008351974,0.00012061549],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998348,0.000021179612,0.000015844398,0.000049676986,0.000055401142,0.000023033483],"domain_scores_gemma":[0.99969864,0.00006809398,0.000047023994,0.00008915838,0.000064874555,0.000032263444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037359222,0.00031753725,0.00025968457,0.00040147814,0.00027969555,0.0005499911,0.00045500242,0.0003897335,0.0007886927],"category_scores_gemma":[0.0008208553,0.00017535975,0.00030445537,0.00040634835,0.00033211283,0.00038566705,0.00021656574,0.00026740303,0.00024044815],"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":[0.00087907835,0.00041640177,0.579748,0.00015395852,0.000114973045,0.0006014014,0.0009893995,0.25382894,0.12475236,0.0010890013,0.00061923865,0.03680719],"study_design_scores_gemma":[0.000066041444,0.00042459898,0.49001047,0.000043680833,0.000025107509,0.00021805057,0.00065737934,0.46692467,0.039948653,0.0002721735,0.0013477948,0.0000613333],"about_ca_topic_score_codex":0.01094673,"about_ca_topic_score_gemma":0.008986571,"teacher_disagreement_score":0.01094673,"about_ca_system_score_codex":0.0004394167,"about_ca_system_score_gemma":0.00025779026,"threshold_uncertainty_score":0.021766007},"labels":[],"label_agreement":null},{"id":"W2118127969","doi":"10.1175/1520-0450(2002)041<1011:eotteb>2.0.co;2","title":"Evaluation of the Town Energy Balance (TEB) Scheme with Direct Measurements from Dry Districts in Two Cities","year":2002,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":288,"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":"Natural Sciences and Engineering Research Council of Canada; University of Canterbury; National Science Foundation","keywords":"Energy balance; Balance (ability); Environmental science; Energy (signal processing); Meteorology; Environmental economics; Geography; Statistics; Economics; Mathematics; Physics; Psychology","score_opus":0.030989614947558107,"score_gpt":0.23082928547708223,"score_spread":0.19983967052952412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118127969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969522,0.000013074146,0.0012942436,0.000020932672,0.0000037715208,0.00002736391,0.00074348104,0.000087567605,0.00085730734],"genre_scores_gemma":[0.9977471,0.000009191758,0.0013593286,0.0000063158545,0.0000016809167,0.000022777976,0.0006947832,0.000014567453,0.0001442171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99957114,0.00012359001,0.000026220645,0.00014977886,0.000070097725,0.000059144953],"domain_scores_gemma":[0.99937195,0.00023207873,0.00006476244,0.00011747861,0.00015801993,0.000055739813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007092218,0.0006595477,0.0005184829,0.00052368233,0.0005847293,0.00093817996,0.00079338317,0.0010821503,0.00083580194],"category_scores_gemma":[0.0015008864,0.00053113035,0.00061889976,0.00089418265,0.00039785964,0.00065502024,0.0006760039,0.0005619209,0.00024527358],"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":[0.0008585643,0.00060875167,0.21054168,0.00012923968,0.00020117813,0.0003359173,0.0003733372,0.7598567,0.013102127,0.0007547278,0.00068168435,0.012556103],"study_design_scores_gemma":[0.00029965758,0.00025993172,0.13658682,0.000012676973,0.000055853732,0.00003445462,0.00036421907,0.85348356,0.008024374,0.00017550713,0.00064764195,0.000055365777],"about_ca_topic_score_codex":0.064047776,"about_ca_topic_score_gemma":0.057248544,"teacher_disagreement_score":0.064047776,"about_ca_system_score_codex":0.0014586492,"about_ca_system_score_gemma":0.00042862215,"threshold_uncertainty_score":0.12734997},"labels":[],"label_agreement":null},{"id":"W2123684968","doi":"10.1175/1520-0450(2001)040<1617:mdtoap>2.0.co;2","title":"Modeled Downward Transport of a Passive Tracer over Western North America during an Asian Dust Event in April 1998","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Atmospheric chemistry and aerosols","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":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Advection; Outflow; Mesoscale meteorology; Geology; TRACER; Dust storm; Boundary layer; Atmospheric sciences; Storm; Climatology; Particulates; Mineral dust; Baroclinity; Deposition (geology); Environmental science; Oceanography; Meteorology; Aerosol; Geomorphology; Geography; Structural basin","score_opus":0.008202063534765405,"score_gpt":0.21178679340291634,"score_spread":0.20358472986815093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123684968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984347,0.000016850157,0.00027920323,0.000051748135,0.000005412346,0.000010720566,0.00033652782,0.000039017832,0.0008259402],"genre_scores_gemma":[0.9981831,0.000023907136,0.00061530666,0.000017064165,0.0000027858796,0.000017903498,0.0005162056,0.000013012496,0.0006108113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999465,0.000008425898,0.0000027498431,0.000015651443,0.0000074528393,0.00001924632],"domain_scores_gemma":[0.99983275,0.000043831926,0.000019729483,0.0000105347,0.00005106567,0.000042097632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017018725,0.0007092218,0.0004336346,0.00026150027,0.0006544468,0.00053619716,0.0009265689,0.00090724276,0.0012832065],"category_scores_gemma":[0.00047619734,0.0004058919,0.0003758583,0.00036415184,0.00038926047,0.00039687759,0.00039105638,0.00063364126,0.00011893577],"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":[0.0004165916,0.00030247908,0.06717735,0.00003427758,0.00008791493,0.00063161994,0.0001564777,0.91944754,0.008344253,0.0005021514,0.000684521,0.0022148888],"study_design_scores_gemma":[0.00014361576,0.00011198351,0.013615332,0.0000038406897,0.00003326416,0.00002526264,0.000116396805,0.9840221,0.0014664995,0.00010652809,0.00034105213,0.000014253205],"about_ca_topic_score_codex":0.2586024,"about_ca_topic_score_gemma":0.15947272,"teacher_disagreement_score":0.2586024,"about_ca_system_score_codex":0.002016906,"about_ca_system_score_gemma":0.0013162555,"threshold_uncertainty_score":0.51419437},"labels":[],"label_agreement":null},{"id":"W2132083340","doi":"10.1175/jam2261.1","title":"Impacts of an Extreme Early-Season Freeze Event in the Interior Pacific Northwest (30 October–3 November 2002) on Western Juniper Woodlands","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Rangeland and Wildlife Management","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":"Appalachian State University; Georgia State University","keywords":"Juniper; Dominance (genetics); Woodland; Canopy; Environmental science; Ridge; Geography; Climatology; Ecology; Forestry; Biology; Geology","score_opus":0.01141897995164238,"score_gpt":0.23292646890149868,"score_spread":0.2215074889498563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132083340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988356,0.000051025498,0.00002050131,0.000050353705,0.000005321985,0.0000025956015,0.00014192158,0.0000040737737,0.0008886165],"genre_scores_gemma":[0.9992042,0.00010922374,0.000059352777,0.000042709817,0.0000055526602,0.0000027332756,0.00029347942,0.0000022553406,0.0002804639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991965,0.000009292844,0.000003092144,0.000011646615,0.000019542953,0.000036784735],"domain_scores_gemma":[0.999553,0.000029885776,0.00015185532,0.000013594649,0.000099474855,0.000152231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014466803,0.00018839339,0.00019221577,0.00026987153,0.00094856974,0.0004884334,0.00021441045,0.00021458023,0.0009944594],"category_scores_gemma":[0.00043104496,0.00008696131,0.00008950548,0.00025992014,0.00027259762,0.00020564867,0.00050316646,0.0003094483,0.000082996165],"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":[0.00032506764,0.00012871303,0.97913945,0.00003679821,0.00005826769,0.0011947616,0.0008891021,0.0005508042,0.00452314,0.000078787016,0.0012156116,0.011859512],"study_design_scores_gemma":[0.0000032354012,0.000030436666,0.9976623,0.000008651383,0.000008417835,0.00008927374,0.0012027246,0.00019362035,0.00013520874,0.00001801795,0.00064508244,0.0000029856267],"about_ca_topic_score_codex":0.25215107,"about_ca_topic_score_gemma":0.6639113,"teacher_disagreement_score":0.25215107,"about_ca_system_score_codex":0.000945966,"about_ca_system_score_gemma":0.000793579,"threshold_uncertainty_score":0.50136673},"labels":[],"label_agreement":null},{"id":"W2132366275","doi":"10.1175/jam2183.1","title":"Variability of Drop Size Distributions: Time-Scale Dependence of the Variability and Its Effects on Rain Estimation","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Disdrometer; Environmental science; Storm; Climatology; Radar; Scale (ratio); Meteorology; Atmospheric sciences; Statistics; Mathematics; Rain gauge; Geology; Precipitation; Physics; Computer science","score_opus":0.007275312588322849,"score_gpt":0.21468311032710938,"score_spread":0.20740779773878654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132366275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158746,0.0002122072,0.0044253604,0.00003196702,0.00000445989,0.000024769475,0.002425959,0.000116056945,0.001171719],"genre_scores_gemma":[0.9982968,0.000035864483,0.00045740863,0.00000457293,0.0000031547456,0.0000051926972,0.0009844868,0.000013070098,0.00019950411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999468,0.00009714688,0.000025560243,0.00012962476,0.00021089031,0.000068671914],"domain_scores_gemma":[0.9966378,0.0017354498,0.0005087432,0.0003288711,0.00068348343,0.000105644656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010863753,0.00022515538,0.00020855096,0.0011128263,0.00016185989,0.00056266837,0.00031263666,0.00016604069,0.0008208288],"category_scores_gemma":[0.003972423,0.00012051189,0.00032053716,0.0009355088,0.00029768446,0.0002113567,0.00022837991,0.00016119574,0.00015195853],"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":[0.00009517384,0.000020828986,0.9523651,0.00005031713,0.00016430282,0.00012667615,0.00015716885,0.013201607,0.012054244,0.00012959413,0.00044519303,0.02118985],"study_design_scores_gemma":[8.3290195e-7,0.000009265548,0.9935126,0.0000017643214,0.0000041728704,0.000017701166,0.000017659653,0.005613543,0.00060204056,0.000011362438,0.00020563568,0.000003503302],"about_ca_topic_score_codex":0.21634775,"about_ca_topic_score_gemma":0.18862265,"teacher_disagreement_score":0.21634775,"about_ca_system_score_codex":0.0009626944,"about_ca_system_score_gemma":0.00038929458,"threshold_uncertainty_score":0.4301769},"labels":[],"label_agreement":null},{"id":"W2137637295","doi":"10.1175/jam2273.1","title":"Validation of an Urban Surface Exchange Parameterization for Mesoscale Models—1D Case in a Street Canyon","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Urban Heat Island Mitigation","field":"Environmental Science","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":"University of British Columbia","funders":"","keywords":"Canyon; Mesoscale meteorology; Environmental science; Meteorology; Tower; Roof; Street canyon; Boundary (topology); Geology; Geography; Mathematics; Geomorphology","score_opus":0.01787383430380111,"score_gpt":0.2418649288658613,"score_spread":0.2239910945620602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137637295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933182,0.000027431868,0.005251546,0.00005007704,0.000007871694,0.000034730085,0.00031955898,0.00019954893,0.0007911069],"genre_scores_gemma":[0.99747926,0.000013876645,0.0020985247,0.0000062042204,0.0000017856503,0.000019861403,0.00023285451,0.000016232603,0.00013145444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997352,0.00010704867,0.000017394043,0.000050144525,0.00003644128,0.00005374999],"domain_scores_gemma":[0.9991622,0.00038215794,0.00006234578,0.0001717544,0.0001497747,0.00007186817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007859056,0.0006489241,0.0006975563,0.00031996865,0.00049008295,0.0006712909,0.0010075138,0.0010915342,0.00078107463],"category_scores_gemma":[0.0013447829,0.0003533143,0.0005975563,0.00042636838,0.0005133839,0.00049235247,0.0005302024,0.0006343307,0.00015457267],"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":[0.000057977733,0.00006447154,0.005963992,0.000011136152,0.000014918882,0.00005030923,0.000022450382,0.9910715,0.0014811805,0.00015012013,0.0000766719,0.0010353233],"study_design_scores_gemma":[0.00003818615,0.000044873177,0.0024102349,0.0000024632398,0.0000043078926,0.0000059745375,0.0000224786,0.9962172,0.001116493,0.000041136926,0.00008985088,0.0000067664746],"about_ca_topic_score_codex":0.04760883,"about_ca_topic_score_gemma":0.023520242,"teacher_disagreement_score":0.04760883,"about_ca_system_score_codex":0.00069107406,"about_ca_system_score_gemma":0.0008429085,"threshold_uncertainty_score":0.09466344},"labels":[],"label_agreement":null},{"id":"W2140567084","doi":"10.1175/1520-0450(2000)039<0931:cabhmf>2.0.co;2","title":"Coupled Atmosphere–Biophysics–Hydrology Models for Environmental Modeling","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":580,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Aeronautics and Space Administration; National Park Service; National Center for Atmospheric Research; National Science Foundation","keywords":"Environmental science; Atmosphere (unit); Hydrology (agriculture); Leaf area index; Land cover; Vegetation (pathology); Watershed; Atmospheric sciences; Land use; Meteorology; Geology; Ecology; Geography","score_opus":0.010401152009342702,"score_gpt":0.20619145040025524,"score_spread":0.19579029839091255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140567084","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012755335,0.004719927,0.9177705,0.0022402212,0.0012302664,0.00044157563,0.009350693,0.0041775554,0.047313932],"genre_scores_gemma":[0.4616435,0.013037623,0.4329559,0.0012511635,0.0013199025,0.00424229,0.01873487,0.0016936896,0.065120995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996971,0.000098898236,0.000019298708,0.000046093475,0.000097777556,0.000040888808],"domain_scores_gemma":[0.99958986,0.00016720845,0.000035766257,0.00007435918,0.00008596038,0.000046956684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066412665,0.0010518819,0.0012082176,0.0005670835,0.00080736505,0.0013249303,0.0027340879,0.0016330493,0.010210269],"category_scores_gemma":[0.0016359166,0.0006553502,0.0013655091,0.0015384248,0.0004932106,0.0014450792,0.00199973,0.002215284,0.0030744562],"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":[0.00003469219,0.00006258694,0.0009968528,0.00014684915,0.00012331785,0.00007023786,0.00005917628,0.85822517,0.0010637625,0.09981831,0.02012959,0.019269483],"study_design_scores_gemma":[0.000038437323,0.000012897651,0.00034859823,0.000014009535,0.00002199088,0.000017227292,0.000011767491,0.91762835,0.00018243698,0.04391878,0.037788976,0.000016535409],"about_ca_topic_score_codex":0.013756804,"about_ca_topic_score_gemma":0.013346568,"teacher_disagreement_score":0.013756804,"about_ca_system_score_codex":0.0015392196,"about_ca_system_score_gemma":0.0019436143,"threshold_uncertainty_score":0.0341568},"labels":[],"label_agreement":null},{"id":"W2141040561","doi":"10.1175/jam2260.1","title":"Venting of Heat and Carbon Dioxide from Urban Canyons at Night","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Wind and Air Flow Studies","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":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Sensible heat; Environmental science; Boundary layer; Urban climatology; Atmospheric sciences; Carbon dioxide; Urban heat island; Convective Boundary Layer; Meteorology; Eddy covariance; Planetary boundary layer; Atmosphere (unit); Mesoscale meteorology; Nocturnal; Climatology; Turbulence; Geology; Geography; Urban climate; Urbanization; Physics; Mechanics; Chemistry","score_opus":0.005748336428880976,"score_gpt":0.19603423344022988,"score_spread":0.1902858970113489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141040561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99977785,0.0000093973495,0.000026558682,0.000002982147,6.434539e-7,0.0000010002,0.00009260269,0.0000037211946,0.00008531553],"genre_scores_gemma":[0.9995479,0.000012989481,0.000050781193,0.000003009063,0.0000015512405,0.0000026295197,0.00028955712,0.0000018218233,0.00008969583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999928,0.000009316472,0.0000022304416,0.00001765819,0.000018654859,0.000024211873],"domain_scores_gemma":[0.99988306,0.00002618434,0.000026065945,0.000011036016,0.000021932883,0.00003171655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011491189,0.00023369823,0.00027306093,0.00049862236,0.00039483263,0.00035659512,0.00015205695,0.00020314689,0.000655334],"category_scores_gemma":[0.00016770534,0.0001843005,0.00014160902,0.00035135032,0.00021907975,0.00014303792,0.0002645618,0.00016479683,0.00011671883],"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":[0.002062986,0.0002191195,0.81222516,0.00009982644,0.00015553155,0.0007932298,0.0015502968,0.0038396406,0.16508038,0.00012412634,0.00073294103,0.013116769],"study_design_scores_gemma":[0.0000057416405,0.000048395246,0.9967045,0.0000024376782,0.0000056506465,0.00002183728,0.00019033877,0.00096753164,0.0019184123,0.000009507276,0.00012217643,0.0000035222045],"about_ca_topic_score_codex":0.01937776,"about_ca_topic_score_gemma":0.037088025,"teacher_disagreement_score":0.01937776,"about_ca_system_score_codex":0.00033356072,"about_ca_system_score_gemma":0.00016144555,"threshold_uncertainty_score":0.038529932},"labels":[],"label_agreement":null},{"id":"W2141721644","doi":"10.1175/jam2267.1","title":"Optical Properties of Aerosol Particles over the Northeast Pacific","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","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":"York University; Environment and Climate Change Canada; Dalhousie University","funders":"","keywords":"Nephelometer; Aerosol; Scattering; Mie scattering; Particle (ecology); Absorption (acoustics); Wavelength; Particle-size distribution; Atmospheric sciences; Sea salt; Single-scattering albedo; Light scattering; Environmental science; Particle size; Materials science; Optics; Physics; Meteorology; Chemistry; Geology; Oceanography","score_opus":0.009904098684292807,"score_gpt":0.20220161087679575,"score_spread":0.19229751219250293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141721644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913496,0.00006140393,0.00011199953,0.000007693046,0.0000014140564,0.0000027032804,0.00013632089,0.000005104256,0.0005383057],"genre_scores_gemma":[0.9990559,0.00007727618,0.00019260755,0.000010096207,0.0000029370822,0.0000030365497,0.00035041172,0.0000031886805,0.00030452525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999361,0.0000033025165,0.000002942093,0.000015895603,0.00003229503,0.00000935998],"domain_scores_gemma":[0.99988556,0.0000177434,0.000021548956,0.0000039838114,0.0000513599,0.000019707997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014068428,0.0001854905,0.00013089293,0.00032716483,0.00052961276,0.00032675028,0.00013791438,0.00011695001,0.0004721671],"category_scores_gemma":[0.00024897556,0.00011385023,0.000084120606,0.00026712424,0.00014906132,0.00022303667,0.00014147825,0.0001699471,0.00009088201],"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":[0.00027009213,0.00010635708,0.8519196,0.000050133844,0.00006070999,0.00036797742,0.00031754098,0.0017618007,0.13126808,0.00010442893,0.00036616408,0.013406934],"study_design_scores_gemma":[0.0000052838427,0.000033069933,0.99126464,0.000002595007,0.000009582907,0.00006163264,0.00011098925,0.0013773841,0.0067227287,0.000020321771,0.00038841268,0.0000033138142],"about_ca_topic_score_codex":0.05510038,"about_ca_topic_score_gemma":0.061312273,"teacher_disagreement_score":0.05510038,"about_ca_system_score_codex":0.00044353673,"about_ca_system_score_gemma":0.0002291053,"threshold_uncertainty_score":0.1095593},"labels":[],"label_agreement":null},{"id":"W2143771974","doi":"10.1175/1520-0450(2004)043<0074:sdotpo>2.0.co;2","title":"Scale Dependence of the Predictability of Precipitation from Continental Radar Images. Part II: Probability Forecasts","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":157,"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":"Predictability; Nowcasting; Probabilistic logic; Quantitative precipitation forecast; Downscaling; Extrapolation; Radar; Scale (ratio); Meteorology; Precipitation; Computer science; Eulerian path; Climatology; Mathematics; Environmental science; Statistics; Applied mathematics; Geology; Geography; Lagrangian","score_opus":0.017502561088631387,"score_gpt":0.21375531280403792,"score_spread":0.19625275171540654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143771974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3990103,0.0022928822,0.5912852,0.0005869322,0.00006949231,0.00004844239,0.0006246482,0.00034129815,0.005740792],"genre_scores_gemma":[0.9632239,0.0013367612,0.0333967,0.000028179655,0.00014915683,0.000031195814,0.00074313954,0.00007541181,0.0010154962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998084,0.000050124578,0.000013776426,0.000033293152,0.0000747114,0.000019700969],"domain_scores_gemma":[0.996813,0.0023983484,0.00032880006,0.000264067,0.00016089101,0.000034869798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010958215,0.0002972423,0.00019213147,0.0006248218,0.00011365518,0.00054158684,0.00023613223,0.00019815152,0.0007097756],"category_scores_gemma":[0.0073544374,0.0002356026,0.00034781455,0.0005992039,0.0004657013,0.00093686103,0.00041326488,0.00056168856,0.00016389844],"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":[0.00017487041,0.000033169814,0.061626226,0.00014465586,0.00012298719,0.00013075225,0.0001229336,0.64232606,0.01421048,0.021750523,0.0018802205,0.25747713],"study_design_scores_gemma":[0.0000068996505,0.000038459166,0.055703323,0.000011010846,0.000024602648,0.000065110034,0.000015133592,0.9234027,0.005620847,0.014201885,0.00089255936,0.000017350781],"about_ca_topic_score_codex":0.0019093526,"about_ca_topic_score_gemma":0.0019468404,"teacher_disagreement_score":0.0019093526,"about_ca_system_score_codex":0.00030460372,"about_ca_system_score_gemma":0.00025922843,"threshold_uncertainty_score":0.0057953},"labels":[],"label_agreement":null},{"id":"W2156803581","doi":"10.1175/jam2251.1","title":"Temporal and Spatial Changes of the Agroclimate in Alberta, Canada, from 1901 to 2002","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"Mitacs; National Oceanic and Atmospheric Administration; Chinese Academy of Sciences","keywords":"Frost (temperature); Growing season; Precipitation; Climatology; Growing degree-day; Environmental science; Physical geography; Geography; Geology; Sowing; Meteorology; Agronomy","score_opus":0.0041890789698807995,"score_gpt":0.17670118700594564,"score_spread":0.17251210803606484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156803581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97621584,0.0021279098,0.00027520084,0.00040722717,0.000025679403,0.00002101031,0.013659341,0.00005620581,0.0072116097],"genre_scores_gemma":[0.99046105,0.00087226,0.0003652809,0.00005349825,0.00000974848,0.000009120911,0.0052386187,0.000007718408,0.00298262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996897,0.000013074038,0.000011326329,0.000054773398,0.0001374455,0.00009377869],"domain_scores_gemma":[0.99886584,0.00004883362,0.00014002765,0.00002392139,0.0007612809,0.00016011392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035476848,0.0003087396,0.00021482649,0.0020823681,0.0010343139,0.0012334466,0.0007328098,0.00024245765,0.0015402085],"category_scores_gemma":[0.0008550904,0.00015955811,0.00023266488,0.0055888356,0.00046337902,0.00023180795,0.00047563275,0.0003148402,0.0002581063],"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":[0.00015858674,0.000029089326,0.9716513,0.00011000918,0.000091728456,0.00024404348,0.0010094745,0.0019832763,0.0011485243,0.00028618288,0.0035685424,0.019719223],"study_design_scores_gemma":[0.000001844793,0.0000034386278,0.9967444,0.000010161332,0.000007976161,0.000023323893,0.00042973302,0.00031336158,0.000073538075,0.000007959559,0.0023797236,0.000004447603],"about_ca_topic_score_codex":0.99331105,"about_ca_topic_score_gemma":0.9968779,"teacher_disagreement_score":0.020784944,"about_ca_system_score_codex":0.020784944,"about_ca_system_score_gemma":0.012874409,"threshold_uncertainty_score":0.15080601},"labels":[],"label_agreement":null},{"id":"W2161472040","doi":"10.1175/jam-2204.1","title":"Radar Refractivity Retrieval: Validation and Application to Short-Term Forecasting","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":72,"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; Environmental science; Meteorology; Remote sensing; Thunderstorm; Weather radar; Depth sounding; Radiance; Convective storm detection; Doppler radar; Storm; Geology; Physics; Computer science","score_opus":0.03098375338132338,"score_gpt":0.2604090619297897,"score_spread":0.22942530854846632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161472040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9599943,0.00034809244,0.03472025,0.00019309811,0.00006256769,0.00009792177,0.0009023093,0.0015559664,0.0021254614],"genre_scores_gemma":[0.980607,0.0000940208,0.018008344,0.000023648765,0.000016439128,0.000019720877,0.00090355607,0.000029091862,0.00029820137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99965596,0.000084098334,0.000035294706,0.0000887821,0.000100514204,0.00003539897],"domain_scores_gemma":[0.9989058,0.00034271134,0.00012965938,0.000191259,0.0003693289,0.00006115687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018036908,0.0004730458,0.00042988756,0.0007362745,0.00023698204,0.00068326725,0.0007080333,0.00050524896,0.00060723297],"category_scores_gemma":[0.002807657,0.00020038072,0.00028661024,0.0006302894,0.00017792436,0.0007057129,0.00029259213,0.00043314978,0.00031978448],"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":[0.00065189565,0.0009470781,0.07971152,0.00013084424,0.00015186916,0.00022780916,0.00010412421,0.613827,0.072772525,0.0005879061,0.002076298,0.22881123],"study_design_scores_gemma":[0.00006921901,0.000118645,0.016004914,0.000007334417,0.000015986585,0.000015427653,0.000017002105,0.97259504,0.0105868075,0.00012369631,0.00042836272,0.000017564009],"about_ca_topic_score_codex":0.018809428,"about_ca_topic_score_gemma":0.01039466,"teacher_disagreement_score":0.018809428,"about_ca_system_score_codex":0.000548416,"about_ca_system_score_gemma":0.00057832705,"threshold_uncertainty_score":0.037399888},"labels":[],"label_agreement":null},{"id":"W2172542931","doi":"10.1175/jam2222.1","title":"Variability of Drop Size Distributions: Noise and Noise Filtering in Disdrometric Data","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spurious relationship; Statistics; Mathematics; Regression; Noise (video); Linear regression; Robust regression; Regression analysis; Simple linear regression; Sample size determination; Computer science","score_opus":0.02611319092023593,"score_gpt":0.24588377606859516,"score_spread":0.21977058514835923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172542931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5570457,0.00039966847,0.4381258,0.00019952413,0.00006555744,0.00007622622,0.0009868437,0.0010658222,0.0020348597],"genre_scores_gemma":[0.9546139,0.00014918388,0.043701135,0.000058946247,0.000033684042,0.00004228118,0.0009249209,0.00015541112,0.0003204444],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998489,0.00030331922,0.0001309828,0.0003509603,0.0006512661,0.00007449863],"domain_scores_gemma":[0.99623847,0.0017708022,0.00065525813,0.0005296724,0.00076095155,0.00004488257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026464036,0.00040424344,0.00045201046,0.0016360928,0.0003016171,0.00076355203,0.00060521247,0.0003786175,0.0003837645],"category_scores_gemma":[0.008035574,0.00024940653,0.0004241966,0.0018252765,0.00043043852,0.0010703681,0.0005674501,0.00038824097,0.00023091168],"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":[0.0005973776,0.00018323377,0.37457544,0.00052608846,0.0004625858,0.0005167669,0.001053318,0.09980095,0.17950372,0.0058689215,0.0032148107,0.33369672],"study_design_scores_gemma":[0.000035284625,0.00014607648,0.4804237,0.0000828733,0.00014159056,0.0005756894,0.00022418576,0.4424638,0.06356259,0.005656602,0.006575314,0.000112351176],"about_ca_topic_score_codex":0.0036860085,"about_ca_topic_score_gemma":0.0032291738,"teacher_disagreement_score":0.0036860085,"about_ca_system_score_codex":0.00048933394,"about_ca_system_score_gemma":0.0002352511,"threshold_uncertainty_score":0.013995647},"labels":[],"label_agreement":null},{"id":"W2173332297","doi":"10.1175/1520-0450(2001)040<1422:sdfgdi>2.0.co;2","title":"Surface Delays for Gases Dispersing in the Atmosphere","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atmosphere (unit); Reflection (computer programming); Standard deviation; Mean flow; Root mean square; Boundary layer; Displacement (psychology); Meteorology; Geology; Particle (ecology); Trajectory; Mechanics; Atmospheric sciences; Wind speed; Planetary boundary layer; Physics; Geodesy; Mathematics; Turbulence; Statistics","score_opus":0.017683969187850916,"score_gpt":0.23291111608312293,"score_spread":0.215227146895272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173332297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880028,0.00025806803,0.009793019,0.00016470895,0.000029629648,0.000009806387,0.00021150419,0.00015719201,0.0013732667],"genre_scores_gemma":[0.99807954,0.00008826476,0.0014078276,0.000006473882,0.000003949288,0.000004027676,0.00012618,0.0000222326,0.00026149192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991083,0.00000905911,0.0000034321665,0.000025566056,0.000018438084,0.000032636082],"domain_scores_gemma":[0.999589,0.00020465507,0.00006088196,0.000034502063,0.000055180062,0.00005576165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032433873,0.00026299298,0.00017256991,0.00043106877,0.00043141248,0.0007407897,0.00035505474,0.00038775988,0.001626316],"category_scores_gemma":[0.0021695907,0.00020409374,0.00039840615,0.00028707818,0.00034881852,0.0007312169,0.0004326622,0.0004227611,0.00016265914],"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":[0.00031469986,0.000060232276,0.034472216,0.00006320131,0.000037283906,0.0002685778,0.00016179042,0.93086797,0.015920207,0.008147298,0.00049538893,0.009191239],"study_design_scores_gemma":[0.0000705016,0.00016540177,0.013689163,0.00000989181,0.000025824971,0.00008022218,0.00012971507,0.97449243,0.006670652,0.0035179064,0.0011129682,0.000035359968],"about_ca_topic_score_codex":0.011519351,"about_ca_topic_score_gemma":0.0070101786,"teacher_disagreement_score":0.011519351,"about_ca_system_score_codex":0.0011779312,"about_ca_system_score_gemma":0.0006572335,"threshold_uncertainty_score":0.022904575},"labels":[],"label_agreement":null},{"id":"W2175081775","doi":"10.1175/jam2265.1","title":"Measuring Canopy Structure and the Kinematics of Subcanopy Flows in Two Forests","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":63,"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":"Geology; Terrain; Buoyancy; Canopy; Flow (mathematics); Canopy interception; Ecology; Throughfall; Mechanics; Soil science; Physics","score_opus":0.006780652888762033,"score_gpt":0.20674767183634066,"score_spread":0.19996701894757862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175081775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993814,0.000011256214,0.0003649151,0.0000021252288,3.5517962e-7,0.0000024660562,0.000045531702,0.000006961296,0.00018503547],"genre_scores_gemma":[0.99939585,0.000007337255,0.0004358172,0.0000020330488,5.410263e-7,0.00000419264,0.00008144602,0.0000016136896,0.00007115477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999466,0.0000061320943,0.0000016600727,0.00001980635,0.000010710607,0.000015062103],"domain_scores_gemma":[0.99989974,0.000022859644,0.000023711855,0.00000706897,0.000019032708,0.000027511378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085179665,0.00013480175,0.00012996749,0.00045989602,0.000300881,0.00026468668,0.00013761618,0.00008233432,0.0005416914],"category_scores_gemma":[0.00020164049,0.00010446605,0.00005543403,0.00026796243,0.00015964151,0.00019761868,0.00023674878,0.000121663055,0.00006158503],"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":[0.0003573566,0.00009330423,0.7628412,0.0000284277,0.000046766036,0.00016383539,0.000881962,0.0030299134,0.20078325,0.00032076877,0.00018833524,0.03126475],"study_design_scores_gemma":[0.0000047796975,0.000024102608,0.994368,0.000001522851,0.000004833148,0.000023930646,0.000097121476,0.0027218643,0.0025259138,0.000049981503,0.00017441831,0.0000036232973],"about_ca_topic_score_codex":0.020730168,"about_ca_topic_score_gemma":0.04111928,"teacher_disagreement_score":0.020730168,"about_ca_system_score_codex":0.00035723893,"about_ca_system_score_gemma":0.0001818854,"threshold_uncertainty_score":0.041218996},"labels":[],"label_agreement":null},{"id":"W2177501413","doi":"10.1175/jam-2201.1","title":"Evaluation of GPS Precipitable Water over Canada and the IGS Network","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":61,"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":"Radiosonde; Precipitable water; Global Positioning System; Zenith; Environmental science; Troposphere; Meteorology; Standard deviation; Data assimilation; Climatology; Geodesy; Precipitation; Geography; Mathematics; Geology; Statistics","score_opus":0.007261331255573104,"score_gpt":0.20067956302576878,"score_spread":0.19341823177019568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177501413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764522,0.00028622136,0.0009358499,0.0002533678,0.000024823805,0.000050443083,0.016116746,0.00030045875,0.005580017],"genre_scores_gemma":[0.9775308,0.00013464461,0.0017111041,0.00003205968,0.000010487357,0.000012758664,0.019627001,0.000030102296,0.0009111022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992186,0.00008385583,0.000026505351,0.00013638563,0.00038484507,0.00014973774],"domain_scores_gemma":[0.9974726,0.00020469537,0.00017949521,0.000122036545,0.0017976357,0.00022342289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010749031,0.00071254413,0.00036897883,0.0015535924,0.00070557604,0.0013916946,0.0010145511,0.0003880609,0.0009899325],"category_scores_gemma":[0.0032110112,0.00018312372,0.0003411615,0.0035585368,0.00045030809,0.0005989273,0.0005913377,0.00035878588,0.0001819272],"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":[0.00080881105,0.00015348823,0.75639576,0.000168796,0.00044178692,0.00032723817,0.00028253903,0.17018616,0.0041408343,0.0017043517,0.008844076,0.056546267],"study_design_scores_gemma":[0.000085754684,0.00007941789,0.7506484,0.000049139213,0.00009783345,0.000044417637,0.0006284726,0.23798762,0.003103444,0.00026138825,0.006957168,0.000057102603],"about_ca_topic_score_codex":0.9760227,"about_ca_topic_score_gemma":0.97750354,"teacher_disagreement_score":0.02397728,"about_ca_system_score_codex":0.0122994585,"about_ca_system_score_gemma":0.008132256,"threshold_uncertainty_score":0.08923924},"labels":[],"label_agreement":null},{"id":"W2177846354","doi":"10.1175/1520-0450(2004)043<0038:wsaqco>2.0.co;2","title":"Wind Synthesis and Quality Control of Multiple-Doppler-Derived Horizontal Wind Fields","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":11,"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":"McGill University","keywords":"Meteorology; Remote sensing; Environmental science; Weighting; Weather radar; Wind direction; Doppler effect; Radar; Computer science; Wind speed; Doppler radar; Wind power; Geology; Acoustics; Physics; Engineering; Telecommunications","score_opus":0.027398237208908275,"score_gpt":0.2417220454880389,"score_spread":0.21432380827913064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177846354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16516182,0.00020340673,0.8333082,0.00006143221,0.00003236534,0.000047530477,0.000102489445,0.0004905944,0.00059209217],"genre_scores_gemma":[0.8753134,0.00007759692,0.12390174,0.000014561644,0.000021075663,0.00003749369,0.00018638565,0.000058632402,0.0003890765],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991529,0.00011505727,0.000074042546,0.0001848757,0.00040208604,0.00007094472],"domain_scores_gemma":[0.9967495,0.0009847034,0.0006879499,0.00041274098,0.0010386925,0.00012633686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015237363,0.00049428584,0.00049009343,0.0006053584,0.00019537362,0.0009112157,0.0003549862,0.0002641706,0.00050701085],"category_scores_gemma":[0.0067063305,0.00025757187,0.00030470974,0.00041727442,0.00040706366,0.0007637027,0.00060355663,0.00048810506,0.0001269464],"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":[0.00092676945,0.00014568905,0.012496804,0.00017601263,0.00005761567,0.00007872005,0.00017192547,0.38383397,0.11902345,0.004046361,0.0005415793,0.47850108],"study_design_scores_gemma":[0.00009411028,0.00021740145,0.008674365,0.000011729936,0.000023657685,0.000047704365,0.000027164053,0.9266946,0.061563954,0.0019638168,0.0006527199,0.000028721288],"about_ca_topic_score_codex":0.0019243264,"about_ca_topic_score_gemma":0.0016351218,"teacher_disagreement_score":0.0019243264,"about_ca_system_score_codex":0.0003929566,"about_ca_system_score_gemma":0.000502506,"threshold_uncertainty_score":0.008058369},"labels":[],"label_agreement":null},{"id":"W2180409831","doi":"10.1175/1520-0450(2000)039<1434:asbcdo>2.0.co;2","title":"A Satellite-Based Climatic Description of Jet Aircraft Contrails and Associations with Atmospheric Conditions, 1977–79","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Environmental science; Cloud cover; Satellite; Troposphere; Jet stream; Meteorology; Geography; Geology; Jet (fluid)","score_opus":0.0074394830327400826,"score_gpt":0.20833097850560953,"score_spread":0.20089149547286944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180409831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309915,0.00014350394,0.00035183778,0.000013537021,0.0000052523405,0.00001438493,0.0043244027,0.000016254064,0.0020318038],"genre_scores_gemma":[0.9917319,0.00014738998,0.0004858953,0.0000056639324,0.000012194151,0.000013232764,0.0071491627,0.0000042230045,0.00045048865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999502,0.0000054641537,0.00000726761,0.000008703534,0.000018603465,0.000009801225],"domain_scores_gemma":[0.99977976,0.000021031157,0.00008733249,0.000013881445,0.00007035489,0.000027676615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011119102,0.00014014951,0.000079626676,0.0010802555,0.00018724849,0.00020693227,0.000088373265,0.000053937536,0.0006353466],"category_scores_gemma":[0.00018557382,0.000049314505,0.00009288534,0.00094923703,0.00008233934,0.000111217945,0.00012530453,0.00007560965,0.00014160147],"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":[0.000061865416,0.000030831674,0.98490465,0.000021364584,0.000033810375,0.000083002786,0.00016995144,0.0017086843,0.0026711118,0.00008021103,0.001009358,0.009225153],"study_design_scores_gemma":[0.0000010064899,0.00001011602,0.9982224,0.0000015655415,0.000003234934,0.00005324786,0.00005190917,0.00065066316,0.0001535099,0.00000741647,0.00084373134,0.0000011724828],"about_ca_topic_score_codex":0.026024649,"about_ca_topic_score_gemma":0.044888865,"teacher_disagreement_score":0.026024649,"about_ca_system_score_codex":0.00031569623,"about_ca_system_score_gemma":0.00016872288,"threshold_uncertainty_score":0.05174631},"labels":[],"label_agreement":null},{"id":"W2180983034","doi":"10.1175/1520-0450(2004)043<1282:egsaaa>2.0.co;2","title":"ECMWF's Global Snow Analysis: Assessment and Revision Based on Satellite Observations","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":91,"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; Satellite; Snow cover; Meteorology; Climatology; Northern Hemisphere; Moderate-resolution imaging spectroradiometer; Geology; Geography","score_opus":0.023719341511761853,"score_gpt":0.2651800226355148,"score_spread":0.24146068112375296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180983034","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30386811,0.0036769863,0.28896406,0.0038647375,0.0021163437,0.0019776768,0.3489451,0.011300048,0.035286814],"genre_scores_gemma":[0.3458333,0.004471514,0.28053895,0.00081555353,0.0005192281,0.0007649661,0.35541564,0.0022524642,0.009388432],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99918,0.00013339389,0.00009389586,0.000090687034,0.00043350187,0.000068533656],"domain_scores_gemma":[0.99731904,0.0001970143,0.00038970236,0.0005372994,0.00144999,0.00010690571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025176827,0.0010570912,0.00041080604,0.0016721865,0.00042362706,0.0009445448,0.0009806307,0.00036447748,0.00087494904],"category_scores_gemma":[0.0037723533,0.00029569762,0.0007254522,0.0024992004,0.00025135378,0.0009498802,0.00056368555,0.00070212525,0.00083390984],"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":[0.00036596094,0.0001910395,0.081100665,0.00051935564,0.00047688442,0.0003572796,0.00040356218,0.08090475,0.016603563,0.006009038,0.27789626,0.53517157],"study_design_scores_gemma":[0.00032594553,0.00013079584,0.24555819,0.0005420329,0.00041277352,0.0002662917,0.00044320006,0.2575619,0.017664809,0.006649526,0.47024044,0.0002041297],"about_ca_topic_score_codex":0.10823476,"about_ca_topic_score_gemma":0.071788214,"teacher_disagreement_score":0.10823476,"about_ca_system_score_codex":0.000982191,"about_ca_system_score_gemma":0.0031108696,"threshold_uncertainty_score":0.21520954},"labels":[],"label_agreement":null},{"id":"W2181059100","doi":"10.1175/1520-0450(2001)040<0915:coaafa>2.0.co;2","title":"Calculation of Area-Averaged Fluxes: Application to BOREAS","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Meteorology","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":"Queen's University","funders":"National Aeronautics and Space Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"Boreal; Environmental science; Atmosphere (unit); Atmospheric sciences; Tower; Flux (metallurgy); Meteorology; Boreal ecosystem; Climatology; Geography; Geology","score_opus":0.018425242926226916,"score_gpt":0.2380279948558606,"score_spread":0.2196027519296337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181059100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8128845,0.0005138905,0.17642365,0.000095029915,0.00010886343,0.00008946112,0.0021781877,0.0034450493,0.004261442],"genre_scores_gemma":[0.8900529,0.00026827664,0.1077471,0.000024656027,0.000046855628,0.000073819065,0.001095931,0.0002701776,0.00042029665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998192,0.000046283196,0.000022327986,0.000047767502,0.00004846285,0.000015968952],"domain_scores_gemma":[0.99942774,0.00022318635,0.00009010512,0.000073830626,0.00015405873,0.000031138014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006698648,0.00063753047,0.0005992068,0.0008947081,0.00073285634,0.00072727096,0.0007027277,0.0004006424,0.00064612384],"category_scores_gemma":[0.0021767747,0.0003133409,0.000611755,0.0011535244,0.00018504675,0.0008160842,0.00030133285,0.0003196214,0.000093222],"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":[0.00017607142,0.00017213188,0.074851766,0.00016722588,0.00035829513,0.00024698596,0.00026744828,0.82178104,0.015267456,0.0034793606,0.0011230122,0.08210912],"study_design_scores_gemma":[0.00007836444,0.000069992995,0.0458669,0.000023713746,0.00006714568,0.00014420204,0.000093181305,0.9428151,0.0055547175,0.0021771952,0.0030613772,0.000048140228],"about_ca_topic_score_codex":0.027901925,"about_ca_topic_score_gemma":0.023298742,"teacher_disagreement_score":0.027901925,"about_ca_system_score_codex":0.0004782756,"about_ca_system_score_gemma":0.00079128344,"threshold_uncertainty_score":0.05547905},"labels":[],"label_agreement":null}]}