{"meta":{"query_hash":"02156f84092f","filters":{"venue":"Numerical Mathematics Theory Methods and Applications"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/02156f84092f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Numerical+Mathematics+Theory+Methods+and+Applications"},"results":[{"id":"W2117079145","doi":"10.4208/nmtma.2013.1130nm","title":"A Numerical Study of Blowup in the Harmonic Map Heat Flow Using the MMPDE Moving Mesh Method","year":2013,"lang":"en","type":"article","venue":"Numerical Mathematics Theory Methods and Applications","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","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":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Infinity; Flow (mathematics); Harmonic; Computer science; Mathematics; Mathematical analysis; Applied mathematics; Geometry; Physics; Acoustics","score_opus":0.04087784533411475,"score_gpt":0.3847159555817729,"score_spread":0.34383811024765815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117079145","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":[0.7157297,0.0007539376,0.2686768,0.00037899014,0.00017709038,0.00010205528,0.00007138631,0.00026716792,0.013842762],"genre_scores_gemma":[0.97337365,0.0001545025,0.024424514,0.000019426296,0.000018839748,0.000036406313,0.000026421021,0.000028374205,0.0019179267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998573,0.000053042437,0.0000052136616,0.000012180369,0.00005292425,0.000019306146],"domain_scores_gemma":[0.999268,0.00053512637,0.000043989694,0.000049217895,0.000071847135,0.00003188629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006193618,0.00030449888,0.00048760488,0.00044452355,0.0004028541,0.000538023,0.00046182043,0.000835753,0.0011984777],"category_scores_gemma":[0.002753245,0.00014909488,0.00029060102,0.00030346948,0.00082834746,0.000514975,0.00051010837,0.00042480178,0.00008042475],"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":[0.00025992034,0.00006467283,0.002240213,0.00023850605,0.000038584843,0.00065983826,0.000273295,0.8965449,0.027897751,0.04723809,0.00064686977,0.023897441],"study_design_scores_gemma":[0.0000044509084,0.000026201511,0.00020668468,0.000004453906,0.0000022211234,0.000018442557,0.000013743615,0.9973435,0.0013205232,0.00085773383,0.00019803579,0.000004023562],"about_ca_topic_score_codex":0.0017687221,"about_ca_topic_score_gemma":0.0007395743,"teacher_disagreement_score":0.0017687221,"about_ca_system_score_codex":0.0003446721,"about_ca_system_score_gemma":0.00029642417,"threshold_uncertainty_score":0.0040093064},"labels":[],"label_agreement":null},{"id":"W2322384453","doi":"10.4208/nmtma.2015.w02si","title":"A Multilevel Method for the Solution of Time Dependent Optimal Transport","year":2015,"lang":"en","type":"article","venue":"Numerical Mathematics Theory Methods and Applications","topic":"Groundwater flow and contamination studies","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":"University of British Columbia","funders":"","keywords":"Discretization; Computation; Mathematical optimization; Nonlinear system; Flow (mathematics); Scheme (mathematics); Applied mathematics; Porous medium; Numerical analysis; Computer science; Fluid dynamics; Mass transport; Mathematics; Algorithm; Mathematical analysis; Mechanics; Porosity; Physics; Geometry; Materials science","score_opus":0.03972407915718172,"score_gpt":0.3534485906077296,"score_spread":0.31372451145054786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322384453","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":[0.005780325,0.00017974775,0.99054986,0.00022149512,0.000059069163,0.00003898961,0.000057415284,0.0000725919,0.0030405882],"genre_scores_gemma":[0.14985776,0.00033206222,0.84482014,0.00013354028,0.000069395246,0.00036635902,0.000088946064,0.00011148392,0.004220299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996823,0.00011891666,0.000016978645,0.000024584955,0.00013528072,0.000022067024],"domain_scores_gemma":[0.99956745,0.00022723146,0.000041595344,0.00004740834,0.00008825063,0.000028040386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492433,0.0003867639,0.00064565014,0.0006714266,0.0005478846,0.0006209148,0.000845919,0.0010282951,0.0028891414],"category_scores_gemma":[0.0019154942,0.00026959224,0.00080706785,0.0004598719,0.0006525173,0.000687781,0.0012975502,0.0012857402,0.00049531565],"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":[0.00007918353,0.00007107971,0.00055208494,0.00020834395,0.000060620816,0.00012709196,0.00016997768,0.60911167,0.018775027,0.30295113,0.002240623,0.065653235],"study_design_scores_gemma":[0.000009700125,0.0000145804,0.00004355287,0.000009246361,0.0000027098083,0.000007970207,0.0000051806674,0.989513,0.00048765645,0.008258745,0.001642905,0.0000048080874],"about_ca_topic_score_codex":0.003196961,"about_ca_topic_score_gemma":0.0036681062,"teacher_disagreement_score":0.003196961,"about_ca_system_score_codex":0.0008039917,"about_ca_system_score_gemma":0.0009697141,"threshold_uncertainty_score":0.009665072},"labels":[],"label_agreement":null},{"id":"W2503579525","doi":"10.4208/nmtma.2015.w08si","title":"Multigrid Methods with Newton-Gauss-Seidel Smoothing and Constraint Preserving Interpolation for Obstacle Problems","year":2015,"lang":"en","type":"article","venue":"Numerical Mathematics Theory Methods and Applications","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","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":"University of Waterloo","funders":"","keywords":"Multigrid method; Discretization; Gauss–Seidel method; Interpolation (computer graphics); Mathematics; Obstacle problem; Mathematical optimization; Operator (biology); Smoothing; Grid; Convergence (economics); Applied mathematics; Computer science; Partial differential equation; Iterative method; Mathematical analysis; Variational inequality; Geometry; Artificial intelligence","score_opus":0.14320648616150364,"score_gpt":0.48257838369173195,"score_spread":0.33937189753022834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503579525","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":[0.015357954,0.0001815806,0.98314315,0.00009583017,0.000047122165,0.00002719565,0.000018463144,0.00011841078,0.001010231],"genre_scores_gemma":[0.39171967,0.0003373335,0.60393435,0.00008442906,0.000058852915,0.0002122255,0.00012371273,0.00011501553,0.0034144013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996871,0.00008521021,0.000021857826,0.000037738388,0.00014210095,0.000026162437],"domain_scores_gemma":[0.9995745,0.00019093453,0.000046752382,0.00006155298,0.00009251059,0.000033889137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057529396,0.00050645537,0.00075745967,0.0005988828,0.0005548164,0.0005549394,0.0009448059,0.0010219894,0.00089749455],"category_scores_gemma":[0.0012991546,0.00029631652,0.0009840783,0.0005727319,0.00067883614,0.000811049,0.0012497231,0.00095755706,0.00023240302],"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":[0.000058608664,0.00007420166,0.0009169757,0.0001292574,0.0000382653,0.00013424041,0.00013551228,0.88671005,0.009261109,0.0470177,0.0007592356,0.054764826],"study_design_scores_gemma":[0.000004879577,0.000008115788,0.00004292642,0.000002594657,0.000001802971,0.000010931385,0.0000043123764,0.9964696,0.00065843924,0.0021519912,0.000640588,0.0000037306766],"about_ca_topic_score_codex":0.0042173136,"about_ca_topic_score_gemma":0.0027470381,"teacher_disagreement_score":0.0042173136,"about_ca_system_score_codex":0.00045998683,"about_ca_system_score_gemma":0.0010487495,"threshold_uncertainty_score":0.008385539},"labels":[],"label_agreement":null},{"id":"W2551183626","doi":"10.4208/nmtma.2016.m1503","title":"Second Order Convergence of the Interpolation Based on $Q^c_1$-Element","year":2016,"lang":"en","type":"article","venue":"Numerical Mathematics Theory Methods and Applications","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Interpolation (computer graphics); Convergence (economics); Tensor product; Mathematics; Element (criminal law); Applied mathematics; Basis (linear algebra); Order (exchange); Mathematical analysis; Computer science; Geometry; Pure mathematics; Computer graphics (images)","score_opus":0.019918359541483657,"score_gpt":0.34099279382301617,"score_spread":0.32107443428153254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551183626","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":[0.019573584,0.00031670718,0.97102386,0.00016579201,0.00016221593,0.000027747321,0.000035392866,0.00015389804,0.008540821],"genre_scores_gemma":[0.57721853,0.00068183563,0.40410256,0.00022443397,0.00011785051,0.00012686294,0.00026358926,0.00045694038,0.016807305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923396,0.00025389835,0.000030875188,0.00007792913,0.00031516422,0.000088161556],"domain_scores_gemma":[0.9985751,0.0005086264,0.00006490196,0.00020792328,0.00056961935,0.00007383872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020647715,0.00052191876,0.0008460166,0.00084265036,0.00057135103,0.00082936906,0.0010927832,0.0008449137,0.0031463592],"category_scores_gemma":[0.0032724051,0.00022913457,0.0008497083,0.0005348524,0.0012397759,0.0011235677,0.0013980491,0.0016244705,0.0006797363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034630636,0.000117306474,0.002661022,0.00044377692,0.00009693686,0.00021194523,0.00033984083,0.3816121,0.03484246,0.49863532,0.003236106,0.07745682],"study_design_scores_gemma":[0.000004477239,0.000025593868,0.00021177802,0.000014280908,0.0000047817716,0.000062829706,0.000015778665,0.9754988,0.005511423,0.016906122,0.0017290368,0.0000151746135],"about_ca_topic_score_codex":0.002778362,"about_ca_topic_score_gemma":0.0019277941,"teacher_disagreement_score":0.0031463592,"about_ca_system_score_codex":0.00075647247,"about_ca_system_score_gemma":0.0010313528,"threshold_uncertainty_score":0.0109196305},"labels":[],"label_agreement":null},{"id":"W2916734677","doi":"10.1017/s100489790000129x","title":"A Projection Preconditioner for Solving the Implicit Immersed Boundary Equations","year":2014,"lang":"en","type":"article","venue":"Numerical Mathematics Theory Methods and Applications","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Preconditioner; Mathematics; Saddle point; Projection (relational algebra); Krylov subspace; Projection method; Reynolds number; Applied mathematics; Condition number; Eulerian path; Linear system; Mathematical analysis; Mathematical optimization; Dykstra's projection algorithm; Algorithm; Geometry; Eigenvalues and eigenvectors; Physics; Mechanics; Lagrangian","score_opus":0.031117015413790788,"score_gpt":0.35391789333821294,"score_spread":0.32280087792442214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916734677","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":[0.0025027185,0.00003654597,0.99529076,0.00006369173,0.000036308626,0.000026763777,0.000021392794,0.00030543032,0.0017164351],"genre_scores_gemma":[0.068353616,0.00016967539,0.9278447,0.00005683701,0.00004020137,0.00015095748,0.00009937511,0.00020102064,0.0030836277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996278,0.00007760793,0.000012073867,0.000031033866,0.00022579607,0.000025673098],"domain_scores_gemma":[0.99976164,0.00008095929,0.000018660065,0.00004513383,0.00006443604,0.000029137978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050287065,0.00041148707,0.00051273196,0.00022475065,0.00043335877,0.00039927798,0.000707757,0.00055848656,0.0031721566],"category_scores_gemma":[0.0011264666,0.00026461904,0.0004468047,0.00024073443,0.0007551346,0.00070106384,0.001219902,0.0015045811,0.0011950117],"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":[0.0001774244,0.00011212899,0.0006436338,0.0004703766,0.000050462906,0.00035895276,0.0006218793,0.31224617,0.11912452,0.29709628,0.0074979155,0.26160035],"study_design_scores_gemma":[0.00003817074,0.000055745575,0.00010556923,0.00002185428,0.0000069423645,0.000090312955,0.000022387776,0.93691474,0.020075938,0.026193399,0.016460072,0.000014761602],"about_ca_topic_score_codex":0.0015991094,"about_ca_topic_score_gemma":0.0011310924,"teacher_disagreement_score":0.0031721566,"about_ca_system_score_codex":0.00019062641,"about_ca_system_score_gemma":0.0012078908,"threshold_uncertainty_score":0.010611951},"labels":[],"label_agreement":null},{"id":"W3110462831","doi":"10.4208/nmtma.oa-2020-0080","title":"On Nonnegative Solution of Multi-Linear System with Strong $\\mathcal{M}_z$-Tensors","year":2020,"lang":"en","type":"article","venue":"Numerical Mathematics Theory Methods and Applications","topic":"Elasticity and Wave Propagation","field":"Engineering","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":"Shanghai Municipal Education Commission; Fudan University; McMaster University","keywords":"Mathematics; Combinatorics; Physics; Pure mathematics","score_opus":0.036923635432967054,"score_gpt":0.31021795674692354,"score_spread":0.2732943213139565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110462831","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":[0.09273389,0.0010928714,0.88173205,0.0009905818,0.00020540293,0.00007506305,0.00016652957,0.000107426815,0.022896213],"genre_scores_gemma":[0.8902025,0.0013630036,0.09106902,0.00030556822,0.00021936944,0.00018808543,0.00031656635,0.00011906908,0.016216824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99961686,0.00011998306,0.000016989228,0.00009043194,0.00008960608,0.00006604278],"domain_scores_gemma":[0.9995129,0.00015242754,0.00011099381,0.00002508636,0.00013697137,0.00006153662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066415675,0.0013590688,0.00053506065,0.00078808976,0.00058307947,0.0010326849,0.0006378523,0.00087595964,0.0026079488],"category_scores_gemma":[0.0015461368,0.00029217565,0.00067848916,0.0004656696,0.0014403742,0.0013031071,0.0013782005,0.0010446059,0.00032453268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061895014,0.000043972424,0.0011262218,0.0002837472,0.00004840243,0.00050497736,0.00022737973,0.09447891,0.01535353,0.86994624,0.0034167056,0.014508085],"study_design_scores_gemma":[0.00002016626,0.0000943293,0.0005862281,0.00004683786,0.000016125148,0.00025733473,0.0001407693,0.7077557,0.0029499405,0.28545138,0.0026427933,0.000038384558],"about_ca_topic_score_codex":0.0011189618,"about_ca_topic_score_gemma":0.0009559463,"teacher_disagreement_score":0.0026079488,"about_ca_system_score_codex":0.0005892557,"about_ca_system_score_gemma":0.000740392,"threshold_uncertainty_score":0.008724451},"labels":[],"label_agreement":null},{"id":"W3152171430","doi":"10.4208/nmtma.2009.m9002","title":"A-Posteriori Error Estimation for the Legendre Spectral Galerkin Method in One-Dimension","year":2009,"lang":"en","type":"article","venue":"Numerical Mathematics Theory Methods and Applications","topic":"Numerical methods in inverse problems","field":"Mathematics","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":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Shanghai Normal University","keywords":"Legendre polynomials; A priori and a posteriori; Dimension (graph theory); Mathematics; Estimation; Applied mathematics; Galerkin method; Mathematical analysis; Physics; Pure mathematics; Finite element method; Engineering; Thermodynamics","score_opus":0.1077881457136526,"score_gpt":0.45136742447647227,"score_spread":0.3435792787628197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152171430","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":[0.0040417416,0.00015357723,0.9954228,0.000027920896,0.000013802153,0.000009389381,0.000005577351,0.00004899438,0.00027610603],"genre_scores_gemma":[0.28277773,0.0007621795,0.7140326,0.000088234825,0.00005765726,0.00013361119,0.000075306394,0.00012306,0.0019496655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990152,0.00043161874,0.000049136368,0.000103574464,0.0003661183,0.00003433299],"domain_scores_gemma":[0.9974885,0.0015908033,0.00024309143,0.00019436968,0.00043373567,0.000049529895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00288611,0.00073404977,0.0006718599,0.0008426223,0.000331996,0.0008178705,0.0007063952,0.0011433461,0.0007260342],"category_scores_gemma":[0.00675618,0.00030604142,0.00049512164,0.00039333384,0.0011721172,0.0013190642,0.000927423,0.0011026043,0.0002724976],"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":[0.00027657292,0.00011682912,0.0015505705,0.0006522392,0.00009911151,0.00010402083,0.00031897804,0.5984437,0.05627499,0.18016148,0.0012268479,0.16077471],"study_design_scores_gemma":[0.000004240949,0.000022747072,0.0001651395,0.000016220996,0.0000060327625,0.00003291919,0.000008103265,0.9830032,0.0054949834,0.010549277,0.0006799284,0.000017168262],"about_ca_topic_score_codex":0.0008231853,"about_ca_topic_score_gemma":0.00062676764,"teacher_disagreement_score":0.00288611,"about_ca_system_score_codex":0.00035673624,"about_ca_system_score_gemma":0.0006527509,"threshold_uncertainty_score":0.015263438},"labels":[],"label_agreement":null}]}