{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":9,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":9,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"1136b3d39538","filters":{"venue":"Communications in Mathematics and Statistics"}},"results":[{"id":"W3133975663","doi":"10.1007/s40304-021-00267-2","title":"An Identity for Expectations and Characteristic Function of Matrix Variate Skew-normal Distribution with Applications to Associated Stochastic Orderings","year":2022,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Mathematics; Orthant; Skew; Random variate; Combinatorics; Order (exchange); Identity (music); Normal matrix; Distribution (mathematics); Matrix (chemical analysis); Regular polygon; Identity matrix; Function (biology); Pure mathematics; Mathematical analysis; Eigenvalues and eigenvectors; Random variable; Statistics; Geometry; Physics","authors":[{"name":"Tong Pu","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Chuancun Yin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04898320242379949,"gpt":0.3754552966389658,"spread":0.3264720942151663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006675479,0.001211062,0.00150864,0.002773994,0.001061284,0.002763933,0.001846956,0.002129758,0.004992544],"category_scores_gemma":[0.02883143,0.0007218551,0.001839625,0.003265554,0.003897697,0.006579631,0.002583122,0.005258053,0.001391891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968011,"about_ca_system_score_gemma":0.003677364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325095,"about_ca_topic_score_gemma":0.002515602,"domain_scores_codex":[0.9973591,0.001027286,0.0001918974,0.0004970521,0.0006845369,0.0002401013],"domain_scores_gemma":[0.980351,0.01172958,0.001523772,0.001109642,0.004195067,0.001090897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001944637,0.00002498878,0.0004102747,0.00005590396,0.00001174555,0.0001042246,0.0002202527,0.00665165,0.0009111465,0.9770089,0.002009157,0.01257225],"study_design_scores_gemma":[0.000007788944,0.00002528146,0.0003767552,0.00003400326,0.00001363856,0.0002634741,0.00007218915,0.1229694,0.0004691595,0.8717853,0.003947108,0.000035882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006529979,0.0005873771,0.9867915,0.0006534685,0.000281204,0.00002435738,0.0001394631,0.0001092599,0.004883304],"genre_scores_gemma":[0.4477989,0.007840397,0.4999264,0.001539655,0.002271609,0.0004331654,0.0008564338,0.0009376141,0.03839571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006675479,"threshold_uncertainty_score":0.03530377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2346128565","doi":"10.1007/s40304-015-0079-5","title":"Testing the Order of a Normal Mixture in Mean","year":2016,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Statistics; Normal distribution; Mixture model; Applied mathematics; Order (exchange); Component (thermodynamics); Distribution (mathematics); Test (biology); Variance (accounting); Statistical hypothesis testing; Mathematical analysis; Physics; Thermodynamics","authors":[{"name":"Jiahua Chen","is_ca":true},{"name":"Pengfei Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06242051314097595,"gpt":0.3231893408351009,"spread":0.2607688276941249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02153309,0.000950888,0.001903133,0.002504461,0.001384229,0.005497371,0.002624531,0.00313265,0.006299891],"category_scores_gemma":[0.1657512,0.001324174,0.002330243,0.001261463,0.004955805,0.007269468,0.003054597,0.00459923,0.001178499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198166,"about_ca_system_score_gemma":0.003191021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007029593,"about_ca_topic_score_gemma":0.005252143,"domain_scores_codex":[0.9818375,0.009512138,0.000960838,0.004333869,0.002373391,0.0009822886],"domain_scores_gemma":[0.7211851,0.2462229,0.005151425,0.01535993,0.007636551,0.004444037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01301835,0.001340195,0.250771,0.0007130083,0.001480017,0.0007509682,0.003381267,0.1682349,0.02366666,0.3234688,0.0055147,0.2076601],"study_design_scores_gemma":[0.0003402658,0.000916224,0.03146591,0.0001380549,0.0002407509,0.0005172674,0.0006736068,0.629329,0.01047708,0.3233775,0.002315366,0.0002090718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3417044,0.000338619,0.6511315,0.001219072,0.0001809293,0.0001051427,0.0004277583,0.0007497661,0.004142843],"genre_scores_gemma":[0.8908711,0.0002168628,0.1049609,0.0003228483,0.0001529934,0.00009906097,0.001296634,0.000359924,0.001719635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02153309,"threshold_uncertainty_score":0.1138792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319953680","doi":"10.1007/s40304-022-00316-4","title":"Quantum N-toroidal Algebras and Extended Quantized GIM Algebras of N-fold Affinization","year":2023,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Algebraic structures and combinatorial models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Simons Foundation","keywords":"Toroid; Quantum; Pure mathematics; Generalization; Quotient; Physics; Lie algebra; Non-associative algebra; Mathematics; Quantum mechanics; Lie conformal algebra; Mathematical analysis; Plasma","authors":[{"name":"Yun Gao","is_ca":true},{"name":"Naihuan Jing","is_ca":false},{"name":"Limeng Xia","is_ca":false},{"name":"Honglian Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06722234121905084,"gpt":0.3478205401343252,"spread":0.2805981989152744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008430419,0.0008351702,0.001124242,0.00211062,0.002513685,0.00347048,0.001410356,0.001723999,0.00794753],"category_scores_gemma":[0.001609961,0.0004153092,0.001144875,0.001526593,0.00416026,0.004797441,0.001699139,0.002195168,0.001071414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074918,"about_ca_system_score_gemma":0.001089582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550945,"about_ca_topic_score_gemma":0.001568191,"domain_scores_codex":[0.9994577,0.0001247479,0.00003240601,0.00008611065,0.0001517981,0.0001472851],"domain_scores_gemma":[0.9993843,0.0001078023,0.0001238859,0.0001060005,0.0001007505,0.0001772004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001529733,0.00001125693,0.00005285933,0.00001235236,0.000003147224,0.00006507131,0.00008971092,0.0003770529,0.0004736753,0.997521,0.0003663712,0.001012173],"study_design_scores_gemma":[0.000006888098,0.000009879683,0.000166128,0.000006221193,0.000002697474,0.0000757265,0.00005490254,0.002378121,0.0001959947,0.9961242,0.000967394,0.00001183219],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6316784,0.002520032,0.09881813,0.00360043,0.001816602,0.0001187994,0.0005061674,0.000552142,0.2603893],"genre_scores_gemma":[0.9647767,0.0006428136,0.01205087,0.0006677575,0.000753261,0.00006174947,0.0002137566,0.00006073881,0.02077238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00794753,"threshold_uncertainty_score":0.02658713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028531548","doi":"10.1007/s40304-013-0016-4","title":"Detecting Quaternionic Maps Between Hyperkähler Manifolds","year":2013,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Geometric Analysis and Curvature Flows","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Morphism; Mathematics; Harmonic map; Harmonic; Pure mathematics; Quaternionic representation; Hyperkähler manifold; Type (biology); Mathematical analysis; Ricci-flat manifold; Geometry; Geology; Physics; Acoustics; Paleontology","authors":[{"name":"Jingyi Chen","is_ca":true},{"name":"Jiayu Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08778496123603743,"gpt":0.3367020360116874,"spread":0.2489170747756499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007333848,0.0009333316,0.0007792643,0.003220615,0.0005833766,0.002423984,0.001120044,0.001402391,0.002138519],"category_scores_gemma":[0.005035862,0.0006197359,0.0003498276,0.001380171,0.001052412,0.002951276,0.002941555,0.001018013,0.0005806332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004312229,"about_ca_system_score_gemma":0.0003155515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005757975,"about_ca_topic_score_gemma":0.0005766603,"domain_scores_codex":[0.9993582,0.000131295,0.0000301362,0.0001495078,0.0002354563,0.00009542637],"domain_scores_gemma":[0.9976522,0.000801886,0.0003884527,0.0002940725,0.0004985088,0.0003647935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002399391,0.000338674,0.04486228,0.0004406115,0.0003424512,0.003502464,0.002129601,0.08164649,0.3025215,0.2215321,0.00733821,0.3329462],"study_design_scores_gemma":[0.0000684343,0.0005542631,0.01424109,0.00005179065,0.00008454087,0.001388362,0.0008227822,0.7214819,0.06464728,0.19048,0.006071695,0.0001078176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7020875,0.0003553197,0.2923182,0.00030289,0.000169031,0.00007192868,0.0002290227,0.0006768416,0.003789254],"genre_scores_gemma":[0.9552961,0.000172844,0.04186625,0.0000491822,0.0000817535,0.00001828877,0.0002327892,0.00009551538,0.002187262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003220615,"threshold_uncertainty_score":0.007154107,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388268080","doi":"10.1007/s40304-023-00362-6","title":"Automatic Structure Identification of Semiparametric Spatial Autoregressive Model Based on Smooth-Threshold Estimating Equation","year":2023,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Autoregressive model; Structural equation modeling; Semiparametric model; Identification (biology); Computer science; Econometrics; STAR model; Semiparametric regression; Applied mathematics; Mathematics; Pattern recognition (psychology); Artificial intelligence; Statistics; Autoregressive integrated moving average; Time series; Nonparametric statistics","authors":[{"name":"Fang Lü","is_ca":false},{"name":"Jing Yang","is_ca":false},{"name":"Xuewen Lu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08834069153125292,"gpt":0.3073641395665165,"spread":0.2190234480352636,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126988,0.0005360466,0.001154495,0.0008006613,0.0003473046,0.001023391,0.001227238,0.0008473034,0.001835995],"category_scores_gemma":[0.005767422,0.0006135461,0.001177195,0.0008092911,0.0004550928,0.001362063,0.001199261,0.001438342,0.0005362125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000463128,"about_ca_system_score_gemma":0.00141043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005214312,"about_ca_topic_score_gemma":0.004628791,"domain_scores_codex":[0.9994588,0.0002055002,0.00003387097,0.000159437,0.00008683579,0.00005550986],"domain_scores_gemma":[0.9979267,0.001415976,0.0001856705,0.0001618661,0.0002563952,0.00005337066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001500081,0.00009848203,0.00515801,0.0001970795,0.0001758001,0.0002422238,0.0002939931,0.726337,0.009998054,0.1213111,0.002159703,0.1338786],"study_design_scores_gemma":[0.000002956161,0.00000591691,0.0002182953,0.000003277374,0.000007487547,0.00001138026,0.000004437905,0.9915224,0.0002303734,0.007849649,0.0001394804,0.000004293258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01533996,0.00006526474,0.9839856,0.00005860882,0.000009321851,0.000009259104,0.00004324644,0.0001678144,0.0003208307],"genre_scores_gemma":[0.6974474,0.0004088088,0.2962655,0.00007367256,0.00005672964,0.0001578031,0.0008591262,0.0002327031,0.004498319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005214312,"threshold_uncertainty_score":0.01036793,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380886529","doi":"10.1007/s40304-023-00336-8","title":"Robust Model Structure Recovery for Ultra-High-Dimensional Varying-Coefficient Models","year":2023,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Shandong Province; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Estimator; Quantile; Applied mathematics; Mathematics; Oracle; Dimension (graph theory); Covariate; Asymptotic distribution; Quantile regression; Rate of convergence; Linear regression; Convergence (economics); Constant (computer programming); Statistics; Mathematical optimization; Computer science","authors":[{"name":"Jing Yang","is_ca":false},{"name":"Guo‐Liang Tian","is_ca":false},{"name":"Xuewen Lu","is_ca":true},{"name":"Mingqiu Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.240919367160927,"gpt":0.3857037065326057,"spread":0.1447843393716787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00750021,0.001765164,0.002680117,0.001338187,0.000759114,0.001783306,0.003404972,0.002255131,0.001637462],"category_scores_gemma":[0.04754084,0.001757788,0.001877611,0.001693883,0.002911504,0.003691725,0.004164347,0.006373836,0.0006699683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219976,"about_ca_system_score_gemma":0.002089788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005867944,"about_ca_topic_score_gemma":0.006042522,"domain_scores_codex":[0.9960871,0.002085243,0.0001975968,0.0007294797,0.000660811,0.0002398122],"domain_scores_gemma":[0.968808,0.02413148,0.002096573,0.003277175,0.001223112,0.0004635528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001914211,0.00007727262,0.0009269765,0.0003623147,0.0002948029,0.0002111784,0.0001744457,0.8202865,0.002737761,0.1264685,0.002393247,0.04587558],"study_design_scores_gemma":[0.000008519224,0.00001776594,0.0001683035,0.00001391777,0.00001392168,0.0000259747,0.00001007868,0.9495373,0.0003597555,0.04946497,0.0003639799,0.00001535607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003330577,0.0002674878,0.9958453,0.00017674,0.00001862446,0.000009544866,0.00006754837,0.0001091592,0.0001750463],"genre_scores_gemma":[0.5403472,0.003161954,0.4468845,0.0006053924,0.0004912464,0.0003660566,0.002004342,0.0004290276,0.005710184],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00750021,"threshold_uncertainty_score":0.0396654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386695775","doi":"10.1007/s40304-023-00353-7","title":"Homogeneity Estimation in Multivariate Generalized Linear Models","year":2023,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Homogeneity (statistics); Multivariate statistics; Computer science; Mathematics; Estimation theory; Regression; Generalized linear model; Statistics; Econometrics; Algorithm","authors":[{"name":"Hao Ding","is_ca":false},{"name":"Zhanfeng Wang","is_ca":false},{"name":"Yaohua Wu","is_ca":true},{"name":"Yuehua Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2854872404435841,"gpt":0.4557165664546205,"spread":0.1702293260110364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01896836,0.001718804,0.003027369,0.002524836,0.001217953,0.002407329,0.003568388,0.001899931,0.004255026],"category_scores_gemma":[0.08710356,0.002165669,0.003714042,0.003189233,0.004009419,0.003734982,0.003638651,0.004409039,0.0009809148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158671,"about_ca_system_score_gemma":0.002428485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009247003,"about_ca_topic_score_gemma":0.007679028,"domain_scores_codex":[0.9799555,0.01548618,0.0005921351,0.001987416,0.001382283,0.0005964401],"domain_scores_gemma":[0.8858235,0.1023775,0.003672559,0.005026926,0.00246234,0.0006370694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004279894,0.0001742595,0.005402804,0.0008701193,0.0014626,0.0005067902,0.0009180904,0.260729,0.001981617,0.5891401,0.006894704,0.131492],"study_design_scores_gemma":[0.00004599676,0.00007974228,0.001838123,0.00007568346,0.0001628824,0.0000913427,0.00007576752,0.5126795,0.0006574593,0.4817648,0.002467998,0.00006081058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00450475,0.0005840041,0.993643,0.000301979,0.0000497877,0.00002208473,0.00008386293,0.000193514,0.0006169828],"genre_scores_gemma":[0.4952763,0.004250607,0.4828933,0.0008639018,0.001377092,0.0007777742,0.001773772,0.001116037,0.01167129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01896836,"threshold_uncertainty_score":0.1003155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2405565426","doi":"10.1007/s40304-013-0008-4","title":"The $L^{\\frac{3}{2}}$ -Norm of the Scalar Curvature Under the Ricci Flow on a 3-Manifold","year":2013,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Geometric Analysis and Curvature Flows","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ricci flow; Ricci curvature; Scalar curvature; Mathematics; Bounded function; Mathematical physics; Diffeomorphism; Manifold (fluid mechanics); Norm (philosophy); Scalar (mathematics); Curvature; Pure mathematics; Combinatorics; Physics; Mathematical analysis; Geometry","authors":[{"name":"Hongnian Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04280710923320479,"gpt":0.309205302444416,"spread":0.2663981932112112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002330991,0.001908474,0.0009752366,0.005167334,0.001643931,0.004035472,0.002038827,0.001842373,0.008195542],"category_scores_gemma":[0.004681809,0.0003532092,0.0007531048,0.001205064,0.005157269,0.004902381,0.002700624,0.002992312,0.00149726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873185,"about_ca_system_score_gemma":0.001111471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238853,"about_ca_topic_score_gemma":0.0008996667,"domain_scores_codex":[0.9983001,0.0006061157,0.00007744109,0.0003695928,0.0004152512,0.0002314918],"domain_scores_gemma":[0.9962142,0.0006938768,0.0008288,0.0002311379,0.001031501,0.001000391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000162613,0.00006054007,0.0008560224,0.0001139401,0.00004591515,0.0001656222,0.0004364022,0.002156681,0.009425976,0.9666272,0.003442008,0.01650713],"study_design_scores_gemma":[0.00002700533,0.0002062893,0.004093475,0.00007539773,0.00003591422,0.0006868483,0.0002691227,0.03293097,0.005768928,0.943399,0.01234121,0.0001658976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.696559,0.0028678,0.1996069,0.008897423,0.002453977,0.0001594567,0.001758545,0.0009866396,0.08671031],"genre_scores_gemma":[0.926967,0.00204835,0.03280026,0.001041932,0.002436229,0.000195997,0.001131024,0.0008737016,0.03250544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008195542,"threshold_uncertainty_score":0.02741683,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4384927790","doi":"10.1007/s40304-022-00319-1","title":"On Spatio-Temporal Model with Diverging Number of Thresholds and its Applications in Housing Market","year":2023,"lang":"en","type":"article","venue":"Communications in Mathematics and Statistics","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; Public Health Ontario; University of Toronto","funders":"Key Programme; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Lasso (programming language); Consistency (knowledge bases); Transaction data; Econometrics; Computer science; Group (periodic table); Scad; Class (philosophy); Regular polygon; Mathematical optimization; Algorithm; Mathematics; Database transaction; Artificial intelligence","authors":[{"name":"Baisuo Jin","is_ca":false},{"name":"Yaguang Li","is_ca":true},{"name":"Yuehua Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07696715119030405,"gpt":0.2986997396001447,"spread":0.2217325884098407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004293625,0.001015294,0.002867475,0.001912214,0.001462151,0.003101802,0.004478709,0.00377305,0.005114117],"category_scores_gemma":[0.0161034,0.00109833,0.002649587,0.002613386,0.002938734,0.005969353,0.002689782,0.003909517,0.0003949173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951515,"about_ca_system_score_gemma":0.001736542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03434005,"about_ca_topic_score_gemma":0.01667507,"domain_scores_codex":[0.9988891,0.0004372702,0.00005299229,0.0002903886,0.0001232455,0.0002069661],"domain_scores_gemma":[0.9917178,0.005746931,0.0008191477,0.0003417237,0.0008315191,0.0005427669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001027918,0.0001008898,0.007540721,0.000179951,0.0001584165,0.0004942291,0.0004310078,0.5662183,0.0006942516,0.4123187,0.003701893,0.00805888],"study_design_scores_gemma":[0.000008617478,0.00001247005,0.0003832298,0.00001212368,0.00002619401,0.00003782614,0.0000502453,0.9572696,0.00003312487,0.04184398,0.0003082568,0.00001435387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1774185,0.004749519,0.8031653,0.005034368,0.0003869218,0.00008600883,0.0007183569,0.0003087161,0.008132349],"genre_scores_gemma":[0.9501001,0.003382453,0.02658856,0.0006003837,0.0003892797,0.0001512576,0.0006461499,0.0001502403,0.01799162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03434005,"threshold_uncertainty_score":0.06828034,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}