{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":313,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":313,"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":"46a9e898a2f5","filters":{"venue":"Journal of Multivariate Analysis"}},"results":[{"id":"W2084045976","doi":"10.1016/j.jmva.2009.04.008","title":"Generating random correlation matrices based on vines and extended onion method","year":2009,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":1126,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Partial correlation; Random variate; Correlation; Elliptical distribution; Multivariate random variable; Vine; Dimension (graph theory); Multivariate statistics; Multivariate normal distribution; Random variable; Combinatorics; Statistics; Geometry","authors":[{"name":"Daniel Lewandowski","is_ca":false},{"name":"Dorota Kurowicka","is_ca":false},{"name":"Harry Joe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0300370544824286,"gpt":0.343949565887423,"spread":0.3139125114049944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002642331,0.0006946262,0.001121672,0.001412178,0.0004882186,0.0008329759,0.00138417,0.0008945155,0.003306352],"category_scores_gemma":[0.009720898,0.0006370149,0.001232831,0.001270954,0.0007748234,0.001827087,0.001622463,0.0008201016,0.0005274259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004240824,"about_ca_system_score_gemma":0.0007764291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623672,"about_ca_topic_score_gemma":0.001949581,"domain_scores_codex":[0.9984745,0.0007949982,0.00006370205,0.0002797912,0.0002532756,0.000133735],"domain_scores_gemma":[0.9944717,0.003617417,0.0003469402,0.0008253005,0.0005720311,0.000166583],"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":[0.0004788933,0.0001463371,0.003682521,0.000227403,0.0002161417,0.0004195558,0.0002862652,0.4603376,0.01588589,0.2634326,0.002491619,0.2523952],"study_design_scores_gemma":[0.00001942658,0.00003977148,0.0003933355,0.00001083812,0.00002080333,0.0000757796,0.00001042326,0.9686243,0.002170668,0.02765483,0.0009580047,0.00002178356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01591588,0.00005589052,0.9831074,0.0000286547,0.00002969334,0.0000380907,0.00004125954,0.0001268874,0.0006562282],"genre_scores_gemma":[0.3796639,0.000266732,0.6144932,0.00008336384,0.00008295558,0.0002388607,0.0003499739,0.0002164416,0.004604527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003306352,"threshold_uncertainty_score":0.01397419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972882514","doi":"10.1016/j.jmva.2004.06.003","title":"Asymptotic efficiency of the two-stage estimation method for copula-based models","year":2004,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":601,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Copula (linguistics); Univariate; Statistics; Maximum likelihood sequence estimation; Applied mathematics; Estimator; Multivariate statistics; Bivariate analysis; Estimation theory; Likelihood function; Multivariate normal distribution; Restricted maximum likelihood; Econometrics","authors":[{"name":"Harry Joe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04574593552725652,"gpt":0.3066089835448547,"spread":0.2608630480175981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01428203,0.001194057,0.001667612,0.001509316,0.0006180123,0.002241521,0.002381214,0.001822223,0.005817372],"category_scores_gemma":[0.0883856,0.001333789,0.001364863,0.001054389,0.001270054,0.004068503,0.002626273,0.002832091,0.001521007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009132208,"about_ca_system_score_gemma":0.002354947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041974,"about_ca_topic_score_gemma":0.002728837,"domain_scores_codex":[0.9940901,0.004285153,0.000185187,0.000415263,0.0007556989,0.000268533],"domain_scores_gemma":[0.9289242,0.06224473,0.001237034,0.003911485,0.003200033,0.0004825102],"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":[0.000806844,0.0004112464,0.008566892,0.0005193524,0.0005940631,0.0003059194,0.0004786708,0.4498812,0.007611027,0.3009247,0.005932329,0.2239678],"study_design_scores_gemma":[0.00002277608,0.00003592734,0.0008056895,0.00002323615,0.0000327582,0.00005117039,0.00001277231,0.9696157,0.0008218401,0.02797563,0.0005785892,0.00002394135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008873576,0.0002386315,0.9893896,0.0001764245,0.00002418285,0.00002689784,0.00004854743,0.0002153645,0.001006693],"genre_scores_gemma":[0.4489673,0.00109551,0.5385807,0.0003071107,0.0002550443,0.0005540014,0.001095593,0.0007521884,0.008392666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01428203,"threshold_uncertainty_score":0.07553148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114336414","doi":"10.1016/j.jmva.2009.08.002","title":"Tail dependence functions and vine copulas","year":2009,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":280,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Vine copula; Tail dependence; Copula (linguistics); Mathematics; Bivariate analysis; Statistical physics; Econometrics; Conditional probability distribution; Statistics; Multivariate statistics; Physics","authors":[{"name":"Harry Joe","is_ca":true},{"name":"Haijun Li","is_ca":false},{"name":"Aristidis K. Nikoloulopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0298517723039048,"gpt":0.2533256783187635,"spread":0.2234739060148587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003079264,0.001141798,0.001213588,0.002214386,0.0008448359,0.002796803,0.001513915,0.001635136,0.005057735],"category_scores_gemma":[0.01962215,0.001101224,0.001190427,0.001670326,0.002342591,0.004714246,0.001466057,0.002923668,0.0006773521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009096235,"about_ca_system_score_gemma":0.0005603381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002737421,"about_ca_topic_score_gemma":0.001857452,"domain_scores_codex":[0.9993436,0.0002907389,0.00002743797,0.0001082797,0.0001203576,0.0001096548],"domain_scores_gemma":[0.9929589,0.004814892,0.0008348933,0.0004814838,0.0005554915,0.000354314],"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":[0.00003128112,0.0000287709,0.001190261,0.00004128806,0.00005778913,0.0001483612,0.0001961175,0.06128684,0.0006754745,0.9241824,0.001709755,0.01045168],"study_design_scores_gemma":[0.000007918632,0.000009722683,0.001154062,0.00002318076,0.00002258818,0.0001530357,0.00004797919,0.2717938,0.0001381891,0.7246723,0.001944994,0.00003219865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1089493,0.005495569,0.8629933,0.001696386,0.0002191273,0.00003388126,0.0002806816,0.0002596609,0.02007212],"genre_scores_gemma":[0.9239789,0.005936705,0.03640878,0.0003596923,0.0007258803,0.00009080987,0.0004977235,0.0002623692,0.03173915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005057735,"threshold_uncertainty_score":0.01691979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050498681","doi":"10.1016/j.jmva.2006.11.002","title":"A test for the mean vector with fewer observations than the dimension","year":2006,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":278,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Independent and identically distributed random variables; Dimension (graph theory); Multivariate random variable; Scalar (mathematics); Statistics; Invariant (physics); Algorithm; Random variable; Combinatorics; Geometry","authors":[{"name":"Muni S. Srivastava","is_ca":true},{"name":"Meng Du","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01884784882125826,"gpt":0.2655927098441703,"spread":0.246744861022912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03574391,0.001366082,0.003504697,0.003232925,0.002165986,0.003073761,0.003235799,0.004729051,0.01136274],"category_scores_gemma":[0.1380267,0.0005641946,0.003253642,0.002831228,0.003673357,0.004970198,0.002579623,0.003832114,0.001171118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007342212,"about_ca_system_score_gemma":0.002686095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006046054,"about_ca_topic_score_gemma":0.0006663532,"domain_scores_codex":[0.9567832,0.02394001,0.003832676,0.007957975,0.006184656,0.001301543],"domain_scores_gemma":[0.7295249,0.2458214,0.004628799,0.01296607,0.005079719,0.001979145],"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":[0.01491113,0.002468724,0.2841518,0.001509186,0.009833069,0.001768452,0.0008295272,0.01595213,0.04722956,0.03676672,0.01243882,0.5721408],"study_design_scores_gemma":[0.005810649,0.02502103,0.2640092,0.0004754179,0.004215779,0.007822909,0.003019087,0.5065554,0.04294698,0.1232059,0.01625786,0.000659755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.394996,0.0007026477,0.5931966,0.002808966,0.000918748,0.000557731,0.001912754,0.001589091,0.00331755],"genre_scores_gemma":[0.8320915,0.0001255958,0.1596567,0.001239676,0.0006880136,0.0008844398,0.002514066,0.0002585376,0.002541446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03574391,"threshold_uncertainty_score":0.1890341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2087691922","doi":"10.1016/j.jmva.2005.05.010","title":"Generating random correlation matrices based on partial correlations","year":2005,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":245,"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","keywords":"Mathematics; Positive-definite matrix; Combinatorics; Simple (philosophy); Random variable; Matrix (chemical analysis); Space (punctuation); Correlation function (quantum field theory); Mathematical analysis; Spectral density; Statistics; Eigenvalues and eigenvectors; Physics","authors":[{"name":"Harry Joe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02637941075448647,"gpt":0.321067712406625,"spread":0.2946883016521386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003929154,0.0008839378,0.0009795462,0.001680315,0.0005444711,0.001203357,0.001489632,0.001248352,0.003496113],"category_scores_gemma":[0.028475,0.001012006,0.001190747,0.001624647,0.001226452,0.002805918,0.001775204,0.001340108,0.0007855202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005852716,"about_ca_system_score_gemma":0.0007940684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007565831,"about_ca_topic_score_gemma":0.001152707,"domain_scores_codex":[0.9973968,0.001464391,0.00008832265,0.0003721048,0.000519685,0.0001586013],"domain_scores_gemma":[0.9669178,0.02646604,0.00148016,0.002930178,0.001695884,0.000510031],"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":[0.0003594576,0.0001419532,0.002339775,0.0001698236,0.0001213781,0.000353228,0.0002337236,0.5210287,0.005849901,0.3759912,0.003370539,0.09004036],"study_design_scores_gemma":[0.00002370154,0.00003828267,0.0002081415,0.00001217115,0.00001657819,0.00007918302,0.00001137238,0.9255519,0.001254765,0.07237512,0.000410337,0.00001847562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02443266,0.00006463966,0.9738691,0.0001134155,0.00003360476,0.00006833517,0.00007669513,0.0002646215,0.001076796],"genre_scores_gemma":[0.5925379,0.0003696567,0.4019284,0.0001901744,0.000145189,0.0003986943,0.0006603933,0.0002683186,0.003501247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003929154,"threshold_uncertainty_score":0.02077961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045551166","doi":"10.1016/s0047-259x(02)00025-8","title":"Nonparametric estimation of distributions with categorical and continuous data","year":2003,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":200,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of South Florida; Texas A and M University","keywords":"Mathematics; Estimator; Nonparametric statistics; Kernel density estimation; Kernel smoother; Kernel (algebra); Smoothing; Mean squared error; Rate of convergence; Statistics; Applied mathematics; Categorical variable; Kernel method; Computer science","authors":[{"name":"Qi Li","is_ca":false},{"name":"Jeffrey S. Racine","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07962877485561147,"gpt":0.3902913782961905,"spread":0.3106626034405791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03883725,0.0009448914,0.002282398,0.002162353,0.0009396134,0.003300375,0.004026366,0.002202688,0.002890821],"category_scores_gemma":[0.2205982,0.001096299,0.002443558,0.003162025,0.005109672,0.00484903,0.004091333,0.00537357,0.0005785636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225139,"about_ca_system_score_gemma":0.002704215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759717,"about_ca_topic_score_gemma":0.001488843,"domain_scores_codex":[0.9618653,0.03012887,0.001291979,0.002594531,0.003379306,0.0007399777],"domain_scores_gemma":[0.7558274,0.2093847,0.008468622,0.02116863,0.004097725,0.001052917],"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":[0.00129871,0.0006227715,0.02944797,0.0008253301,0.001473007,0.0007545848,0.001477441,0.1314748,0.002968233,0.4059604,0.005228778,0.4184679],"study_design_scores_gemma":[0.0001297098,0.000210668,0.006954811,0.0001190054,0.0001326481,0.0004361373,0.0002582422,0.4350475,0.001285224,0.5530722,0.002291207,0.00006266153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01149912,0.0002093594,0.9875228,0.0002239513,0.00003736938,0.0000390675,0.00008785956,0.0001498989,0.0002306136],"genre_scores_gemma":[0.405175,0.0007311559,0.589759,0.0002764292,0.0002596275,0.0007953098,0.0009206028,0.0001795281,0.001903417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03883725,"threshold_uncertainty_score":0.2053935,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996388751","doi":"10.1016/j.jmva.2013.05.001","title":"Factor copula models for multivariate data","year":2013,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":181,"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","keywords":"Copula (linguistics); Mathematics; Multivariate statistics; Vine copula; Akaike information criterion; Bivariate analysis; Tail dependence; Econometrics; Latent variable; Statistics; Factor analysis; Applied mathematics","authors":[{"name":"Pavel Krupskii","is_ca":true},{"name":"Harry Joe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1364904153291479,"gpt":0.3067539562389998,"spread":0.1702635409098519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007760253,0.002632291,0.003270122,0.002145602,0.0007632355,0.004009754,0.002784868,0.002806989,0.006504716],"category_scores_gemma":[0.03349698,0.001837917,0.002758495,0.003827053,0.001802218,0.006322199,0.002037059,0.004624419,0.001717196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531004,"about_ca_system_score_gemma":0.001970179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00980202,"about_ca_topic_score_gemma":0.008461006,"domain_scores_codex":[0.9969389,0.001672528,0.0001700011,0.0005098875,0.0004215927,0.0002871913],"domain_scores_gemma":[0.9808139,0.01370466,0.001634566,0.002004894,0.001354906,0.0004871091],"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":[0.00008021625,0.00009214292,0.001911522,0.0002238813,0.0003839109,0.000243672,0.0002768597,0.3724235,0.0007057183,0.5788262,0.009186066,0.03564634],"study_design_scores_gemma":[0.000009015464,0.00001235886,0.0003188685,0.00002407141,0.00002996452,0.0000492512,0.00001382133,0.8474633,0.00006260629,0.150357,0.001639035,0.00002072407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005640179,0.00174507,0.9900911,0.0005532418,0.00009530787,0.00003218947,0.0003283623,0.0003684104,0.001146178],"genre_scores_gemma":[0.5873985,0.01310987,0.3632319,0.000708046,0.001618272,0.0007814877,0.003942677,0.001479623,0.02772957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00980202,"threshold_uncertainty_score":0.04104066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003943689","doi":"10.1016/j.jmva.2008.06.012","title":"Bivariate generalized exponential distribution","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":168,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Natural exponential family; Joint probability distribution; Exponential family; Exponential distribution; Exponential function; Generalized beta distribution; Laplace distribution; Bivariate analysis; Generalized integer gamma distribution; Exponentially modified Gaussian distribution; Gamma distribution; Applied mathematics; Inverse-chi-squared distribution; Cumulative distribution function; Probability density function; Statistics; Distribution fitting; Mathematical analysis","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"Rameshwar D. Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08116340707193084,"gpt":0.3698286925315576,"spread":0.2886652854596268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002459253,0.0007610785,0.0009996231,0.001598679,0.0005049293,0.001735402,0.0008466593,0.001350001,0.008649843],"category_scores_gemma":[0.01582828,0.0003823535,0.0009047838,0.002472213,0.001512106,0.002309061,0.001325255,0.001787613,0.002538428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777934,"about_ca_system_score_gemma":0.001221105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387067,"about_ca_topic_score_gemma":0.001006413,"domain_scores_codex":[0.9989479,0.0004365253,0.00004580963,0.0002206746,0.0002535499,0.00009553484],"domain_scores_gemma":[0.9945078,0.002247865,0.0005717154,0.0009182552,0.001525139,0.0002293264],"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":[0.00006468423,0.00003482119,0.001805234,0.00006943047,0.00004194997,0.0002010732,0.0001243674,0.02684685,0.001926028,0.91921,0.006952423,0.04272314],"study_design_scores_gemma":[0.00002956568,0.0000450056,0.002557651,0.00005806443,0.00007027975,0.0008079478,0.0001049314,0.3000702,0.001214847,0.6748852,0.02008958,0.00006676786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02251843,0.001107184,0.9637851,0.001012706,0.0002742998,0.00004190954,0.0002820265,0.0003856823,0.01059259],"genre_scores_gemma":[0.7982251,0.004894048,0.1470546,0.0008404548,0.0008965364,0.0002817232,0.001182951,0.0003911922,0.04623337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008649843,"threshold_uncertainty_score":0.02893662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903456956","doi":"10.1016/j.jmva.2018.11.007","title":"Recent advances in functional data analysis and high-dimensional statistics","year":2018,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":159,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; European Commission; Xunta de Galicia; Ministerio de Economía y Competitividad; Canada Research Chairs; Centro Singular de Investigación de Galicia; Western Canada Research Grid","keywords":"Mathematics; Functional data analysis; Multivariate statistics; Statistics; Field (mathematics); Multivariate analysis; Econometrics; Pure mathematics","authors":[{"name":"Germán Aneiros","is_ca":false},{"name":"Ricardo Cao","is_ca":false},{"name":"Ricardo Fraiman","is_ca":false},{"name":"Christian Genest","is_ca":true},{"name":"Philippe Vieu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1045196629940823,"gpt":0.4110483683305718,"spread":0.3065287053364896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009427687,0.001341368,0.002986067,0.003358005,0.0006240202,0.003339366,0.002312975,0.001854911,0.003216148],"category_scores_gemma":[0.03126505,0.000717054,0.001690588,0.005917946,0.003784294,0.004503512,0.002632886,0.004774447,0.001370596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375508,"about_ca_system_score_gemma":0.002079854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155074,"about_ca_topic_score_gemma":0.001118188,"domain_scores_codex":[0.9953258,0.002334681,0.0003782199,0.0007758012,0.001054361,0.0001311334],"domain_scores_gemma":[0.9484891,0.04082708,0.001715824,0.004234282,0.003985213,0.0007486035],"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":[0.0002153231,0.0001419941,0.00399623,0.003349326,0.0004902402,0.0001992593,0.0003536482,0.01938472,0.003336074,0.3282498,0.01039381,0.6298896],"study_design_scores_gemma":[0.00004886166,0.0001340597,0.004228088,0.000547155,0.0002389092,0.000776411,0.0001790759,0.1362445,0.002094022,0.7729075,0.08246793,0.0001334173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004191507,0.1291771,0.855198,0.006461704,0.0007961288,0.00002697443,0.0001883693,0.0003243216,0.003635884],"genre_scores_gemma":[0.1278722,0.2412849,0.6118835,0.002797619,0.01163005,0.0002433483,0.0008186557,0.0003894242,0.003080425],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009427687,"threshold_uncertainty_score":0.04985893,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111822553","doi":"10.1006/jmva.1999.1845","title":"Bivariate Distributions with Given Extreme Value Attractor","year":2000,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":157,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Mathematics; Bivariate analysis; Extreme value theory; Attractor; Generalized extreme value distribution; Joint probability distribution; Statistics; Class (philosophy); Distribution (mathematics); Applied mathematics; Statistical physics; Mathematical analysis","authors":[{"name":"Philippe Capéraà","is_ca":true},{"name":"Anne‐Laure Fougères","is_ca":false},{"name":"Christian Genest","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04182593658051936,"gpt":0.2450638756252955,"spread":0.2032379390447762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001982639,0.0005683722,0.001343898,0.001881277,0.000603313,0.002465683,0.0008101464,0.001251133,0.005092],"category_scores_gemma":[0.01681617,0.0004061628,0.0009177786,0.001380445,0.001655902,0.003501689,0.001634891,0.001640293,0.0004286103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008938607,"about_ca_system_score_gemma":0.0004558805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005222838,"about_ca_topic_score_gemma":0.0003840672,"domain_scores_codex":[0.999503,0.000179311,0.00002478023,0.0001186229,0.00009004524,0.0000841372],"domain_scores_gemma":[0.9922118,0.0046571,0.0009836948,0.0005715229,0.000976279,0.0005995858],"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":[0.00009938293,0.00004295017,0.002984754,0.00005642136,0.00006536784,0.0002795622,0.0001541063,0.05182917,0.001797721,0.9298382,0.002285761,0.01056672],"study_design_scores_gemma":[0.00002983153,0.00003279817,0.002249388,0.00002328561,0.00002991943,0.0002769155,0.00006764119,0.4169901,0.0007031603,0.5783144,0.001238572,0.0000439378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3449334,0.0008003728,0.6388239,0.001580169,0.0001429433,0.00006018118,0.0006306146,0.0005473913,0.01248108],"genre_scores_gemma":[0.9765138,0.0007359462,0.01720854,0.0001041806,0.0001567056,0.00007325294,0.0003677423,0.00007761966,0.004762165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005092,"threshold_uncertainty_score":0.01703441,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2042523563","doi":"10.1016/j.jmva.2013.04.014","title":"Simplified pair copula constructions—Limitations and extensions","year":2013,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":149,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Copula (linguistics); Econometrics; Applied mathematics; Mathematical economics; Statistics; Calculus (dental)","authors":[{"name":"Jakob Stöber","is_ca":false},{"name":"Harry Joe","is_ca":true},{"name":"Claudia Czado","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05859058361025297,"gpt":0.2481061022628059,"spread":0.1895155186525529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008475561,0.001857967,0.002358302,0.002832805,0.001515524,0.004510615,0.004757601,0.002028835,0.01271651],"category_scores_gemma":[0.03308717,0.00130429,0.003030012,0.00392113,0.002150802,0.008922981,0.005208031,0.004636423,0.004861895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007369688,"about_ca_system_score_gemma":0.001011919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245224,"about_ca_topic_score_gemma":0.0008833404,"domain_scores_codex":[0.9941698,0.003747117,0.0002792542,0.0006045254,0.0009203019,0.0002790112],"domain_scores_gemma":[0.9866829,0.005417132,0.0005157393,0.005695357,0.001359064,0.0003298101],"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":[0.00005887001,0.00007718153,0.0004762689,0.0001901568,0.00007129736,0.000154644,0.0002312219,0.01978183,0.0005256689,0.9252604,0.009039025,0.04413339],"study_design_scores_gemma":[0.00003128126,0.0000339085,0.0002644621,0.00006946328,0.00004304949,0.0003190407,0.00007552655,0.2114813,0.0005015428,0.7780559,0.009077856,0.00004657526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007610911,0.0007139261,0.9809482,0.0004701524,0.0001901333,0.00006951865,0.0002387951,0.0003327993,0.009425569],"genre_scores_gemma":[0.277721,0.002714819,0.7087492,0.0006932334,0.0009953871,0.0005187547,0.00118135,0.001076246,0.00635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01271651,"threshold_uncertainty_score":0.04482359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050509804","doi":"10.1006/jmva.2000.1959","title":"A Martingale Approach to the Copula-Graphic Estimator for the Survival Function under Dependent Censoring","year":2001,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":138,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Copula (linguistics); Estimator; Censoring (clinical trials); Kaplan–Meier estimator; Statistics; Econometrics; Applied mathematics","authors":[{"name":"Louis‐Paul Rivest","is_ca":true},{"name":"Martin T. Wells","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1362396011753799,"gpt":0.3889001929710463,"spread":0.2526605917956664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01031331,0.0009877534,0.001602214,0.003767625,0.000764265,0.002084316,0.00300493,0.002496719,0.004782749],"category_scores_gemma":[0.04925888,0.001082402,0.002165978,0.002243659,0.002664357,0.002604328,0.001957022,0.004368112,0.0009401566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362419,"about_ca_system_score_gemma":0.002565761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745227,"about_ca_topic_score_gemma":0.003543199,"domain_scores_codex":[0.9971311,0.001992129,0.00008377671,0.000284754,0.0003539947,0.0001541498],"domain_scores_gemma":[0.9810262,0.01463693,0.000957021,0.001609056,0.001293637,0.0004771121],"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":[0.0000371514,0.00006635876,0.001627055,0.0001257118,0.000135684,0.0001533081,0.0001879119,0.05171373,0.001133541,0.9044825,0.003905606,0.03643144],"study_design_scores_gemma":[0.00004339778,0.00005816643,0.001654317,0.0001029827,0.00007197173,0.0002337254,0.00004666402,0.4198372,0.0004735118,0.5732104,0.004197463,0.0000701514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002672582,0.000253733,0.995999,0.0002890441,0.00005501886,0.00002198972,0.00005679031,0.00009510369,0.0005568163],"genre_scores_gemma":[0.2492075,0.002174023,0.7351147,0.0007866111,0.0008401764,0.000570285,0.0009552062,0.0003988094,0.009952737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01031331,"threshold_uncertainty_score":0.0545426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129995017","doi":"10.1016/j.jmva.2011.05.011","title":"Tail order and intermediate tail dependence of multivariate copulas","year":2011,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":138,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Copula (linguistics); Tail dependence; Mathematics; Multivariate statistics; Laplace transform; Multivariate normal distribution; Gaussian; Statistical physics; Random variable; Multivariate t-distribution; Statistics; Econometrics; Mathematical analysis; Physics","authors":[{"name":"Lei Hua","is_ca":true},{"name":"Harry Joe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04893357859617001,"gpt":0.2585194481300904,"spread":0.2095858695339204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004522336,0.001115113,0.001607028,0.002192059,0.0008767465,0.00286109,0.001635158,0.00131926,0.00351122],"category_scores_gemma":[0.02426221,0.001331138,0.001720712,0.00115655,0.002908449,0.005034513,0.001910851,0.003785918,0.0005082558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089061,"about_ca_system_score_gemma":0.001267598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803292,"about_ca_topic_score_gemma":0.002667789,"domain_scores_codex":[0.9989973,0.0003285829,0.00005415342,0.0001634802,0.0002017106,0.0002547668],"domain_scores_gemma":[0.9804001,0.01171985,0.002567218,0.002255337,0.001470127,0.001587398],"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":[0.0003790153,0.0002618796,0.01548512,0.0001337518,0.0001543573,0.0009979715,0.0006832316,0.1304561,0.007129553,0.8286944,0.002343175,0.01328148],"study_design_scores_gemma":[0.00003181072,0.00005653502,0.008099122,0.0000369667,0.00007131269,0.0003043502,0.00008015829,0.5537856,0.001112687,0.4358768,0.0004409195,0.0001037523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5561592,0.0012304,0.4304477,0.0007311268,0.00008057491,0.00005924185,0.0003101341,0.0004240967,0.01055751],"genre_scores_gemma":[0.9888906,0.0004923748,0.006686333,0.00009415994,0.0001511878,0.00003017372,0.0002371442,0.0001346255,0.003283382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004522336,"threshold_uncertainty_score":0.02391672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2080936878","doi":"10.1016/j.jmva.2012.02.001","title":"Beyond simplified pair-copula constructions","year":2012,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":138,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Copula (linguistics); Mathematics; Estimator; Inference; Econometrics; Multivariate statistics; Consistency (knowledge bases); Monte Carlo method; Conditional probability distribution; Statistics; Applied mathematics; Computer science; Artificial intelligence; Discrete mathematics","authors":[{"name":"Elif F. Acar","is_ca":true},{"name":"Christian Genest","is_ca":true},{"name":"Johanna Nešlehová","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03852949455102374,"gpt":0.2667385718321696,"spread":0.2282090772811458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002720372,0.001363965,0.00116268,0.001746727,0.001234697,0.003505887,0.001721035,0.001449654,0.01074219],"category_scores_gemma":[0.01152489,0.0005987076,0.00176244,0.002082419,0.002172682,0.007288077,0.002871135,0.004137444,0.002360915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000660967,"about_ca_system_score_gemma":0.0006893339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000773598,"about_ca_topic_score_gemma":0.0007440024,"domain_scores_codex":[0.9984944,0.0008554843,0.0000762842,0.0001673677,0.0002934698,0.0001129006],"domain_scores_gemma":[0.9970241,0.001284561,0.0002495665,0.0008424211,0.0003865701,0.0002127631],"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":[0.000003935057,0.000008602006,0.00007470064,0.000015034,0.000007926368,0.00003602135,0.00004888436,0.001997541,0.00006407125,0.9926704,0.00129377,0.003779091],"study_design_scores_gemma":[0.000002921233,0.000003857484,0.00005754872,0.00001041069,0.000005222317,0.00004966297,0.00001449854,0.0178648,0.0000530759,0.9793327,0.002598311,0.000006983635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02215818,0.00146299,0.9292892,0.001548751,0.0003952362,0.00005098045,0.0002310772,0.000289731,0.04457394],"genre_scores_gemma":[0.67467,0.003408405,0.2921999,0.00107427,0.001767542,0.0002112348,0.0007085124,0.0009252313,0.02503488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01074219,"threshold_uncertainty_score":0.03593618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029671524","doi":"10.1016/j.jmva.2012.08.014","title":"A two sample test in high dimensional data","year":2012,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":132,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Invertible matrix; Estimation of covariance matrices; Covariance matrix; Covariance; Invariant (physics); Combinatorics; Diagonal; Matrix (chemical analysis); Pure mathematics; Statistics; Geometry","authors":[{"name":"Muni S. Srivastava","is_ca":true},{"name":"Shota Katayama","is_ca":false},{"name":"Yutaka Kano","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0720585579002459,"gpt":0.3776531653710772,"spread":0.3055946074708313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.045462,0.001252297,0.00385712,0.003476542,0.001500196,0.003139351,0.004184352,0.005211464,0.0124121],"category_scores_gemma":[0.2116523,0.0008403359,0.00196504,0.003139865,0.006808973,0.006494494,0.00349043,0.003812165,0.001184008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008832264,"about_ca_system_score_gemma":0.002041932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007523882,"about_ca_topic_score_gemma":0.0005870865,"domain_scores_codex":[0.94479,0.04278082,0.001627281,0.00510556,0.004525229,0.001171133],"domain_scores_gemma":[0.5701351,0.4035454,0.004162911,0.0146781,0.005073899,0.002404688],"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":[0.009074936,0.001773198,0.04269062,0.001498085,0.002410003,0.003519446,0.001793324,0.06077151,0.013153,0.3174582,0.01335245,0.5325052],"study_design_scores_gemma":[0.00136717,0.004753188,0.01828416,0.0001829238,0.0003907995,0.00222836,0.0007437357,0.7167091,0.005325738,0.2427632,0.006931909,0.0003197817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09548574,0.0004060555,0.8991969,0.00127421,0.0005005993,0.0002153766,0.0004241065,0.0005725939,0.001924446],"genre_scores_gemma":[0.6509747,0.0002507523,0.3412253,0.0008443299,0.0008552196,0.001020772,0.001091649,0.0002171058,0.003520105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.045462,"threshold_uncertainty_score":0.2404289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968224663","doi":"10.1016/j.jmva.2009.12.010","title":"Testing the equality of several covariance matrices with fewer observations than the dimension","year":2010,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":131,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Dimension (graph theory); Covariance; Statistics; Likelihood-ratio test; Statistical hypothesis testing; Population; Covariance matrix; Test (biology); Estimation of covariance matrices; Combinatorics","authors":[{"name":"Muni S. Srivastava","is_ca":true},{"name":"Hirokazu Yanagihara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07991636768367064,"gpt":0.3358903892289463,"spread":0.2559740215452756,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03825162,0.001748001,0.00316558,0.002232385,0.00128534,0.004164561,0.003805598,0.004673575,0.003899256],"category_scores_gemma":[0.2414194,0.001574353,0.003010013,0.001717226,0.006276028,0.009525356,0.004725796,0.003856498,0.0005124987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008602955,"about_ca_system_score_gemma":0.002544725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606082,"about_ca_topic_score_gemma":0.001107476,"domain_scores_codex":[0.9529149,0.02533227,0.003221522,0.01120376,0.005105483,0.002222141],"domain_scores_gemma":[0.4034877,0.5633801,0.008942124,0.0165538,0.005118194,0.002518092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01218188,0.003725281,0.3564355,0.001485819,0.006431933,0.003344483,0.001962847,0.1347266,0.05510345,0.111547,0.003342936,0.3097122],"study_design_scores_gemma":[0.001737888,0.004598688,0.1065362,0.0002138499,0.001106449,0.002653491,0.001540912,0.6388664,0.02598543,0.2141224,0.002179716,0.0004586226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6324041,0.0003808171,0.3629704,0.001539522,0.0001743897,0.0001156528,0.0005002873,0.0002880472,0.001626811],"genre_scores_gemma":[0.9359275,0.0001651872,0.06107533,0.0004075115,0.0002943312,0.0001153292,0.001235448,0.00009259413,0.0006867156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03825162,"threshold_uncertainty_score":0.2022963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071465809","doi":"10.1016/j.jmva.2007.01.013","title":"From moments of sum to moments of product","year":2007,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":131,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Product (mathematics); Random variable; Moment (physics); Identity (music); Quadratic equation; Multivariate statistics; Applied mathematics; Algebra of random variables; Sum of normally distributed random variables; Multivariate random variable; Statistics; Geometry","authors":[{"name":"Raymond Kan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01762470161886203,"gpt":0.2967131886920912,"spread":0.2790884870732292,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00469608,0.001316878,0.001301289,0.003150681,0.0007578824,0.003786474,0.001726599,0.001277487,0.004705013],"category_scores_gemma":[0.03880278,0.0009925375,0.001318307,0.002779308,0.004225057,0.009850633,0.003870132,0.003975613,0.001221539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228618,"about_ca_system_score_gemma":0.0009124846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008132806,"about_ca_topic_score_gemma":0.0006514306,"domain_scores_codex":[0.996794,0.001420001,0.0002463033,0.0005694678,0.0007613545,0.0002088237],"domain_scores_gemma":[0.9789839,0.01484299,0.001341463,0.002842454,0.001347596,0.0006415396],"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":[0.00008843694,0.00002201812,0.0007701453,0.0001313384,0.00004993924,0.0001070329,0.0003072898,0.0134834,0.001522034,0.9256921,0.004449888,0.05337633],"study_design_scores_gemma":[0.000006254331,0.00001793562,0.0002753921,0.00002380904,0.00001674546,0.0001414998,0.00003572592,0.04946132,0.0005867908,0.9444413,0.004968215,0.00002497699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007985077,0.0026343,0.9848053,0.0007175889,0.0003529088,0.00001211723,0.00007991274,0.0002177248,0.003195111],"genre_scores_gemma":[0.4405916,0.009521834,0.5283939,0.001415796,0.004701852,0.0001586085,0.0005368248,0.001444856,0.01323482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004705013,"threshold_uncertainty_score":0.02483559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976889927","doi":"10.1016/j.jmva.2008.06.006","title":"A test for the mean vector with fewer observations than the dimension under non-normality","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":128,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Combinatorics; Test statistic; Dimension (graph theory); Covariance matrix; Null (SQL); Asymptotic distribution; Null distribution; Multivariate random variable; Statistics; Sample mean and sample covariance; Statistic; Multivariate normal distribution; Independent and identically distributed random variables; Normality; Matrix (chemical analysis); Random variable; Statistical hypothesis testing; Multivariate statistics","authors":[{"name":"Muni S. Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07456729812169502,"gpt":0.3212771450148324,"spread":0.2467098468931374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03458287,0.001304352,0.003852315,0.003485654,0.001710473,0.00348043,0.003845469,0.004386895,0.008608835],"category_scores_gemma":[0.2178634,0.0007360363,0.002240747,0.003178885,0.005902112,0.008057981,0.003672389,0.003958794,0.001091418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007949352,"about_ca_system_score_gemma":0.002822194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005895928,"about_ca_topic_score_gemma":0.0004669551,"domain_scores_codex":[0.9523392,0.02631455,0.003300965,0.009213637,0.007463679,0.001368082],"domain_scores_gemma":[0.5412366,0.4168724,0.01129489,0.01877978,0.008694785,0.003121481],"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":[0.01547181,0.001718768,0.2597195,0.001655694,0.005842292,0.001961361,0.001618049,0.03199071,0.0414847,0.1403181,0.008536724,0.4896823],"study_design_scores_gemma":[0.003277314,0.01419988,0.1580885,0.0003637822,0.001774062,0.00487738,0.002667572,0.5147405,0.0259137,0.2621092,0.01128789,0.0007001728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3541217,0.000531058,0.6367294,0.002035502,0.0005117047,0.0002736688,0.001354829,0.0009209085,0.003521269],"genre_scores_gemma":[0.8718129,0.0001648617,0.1220557,0.0007489327,0.0007197732,0.0005534451,0.0022122,0.0001821771,0.001549962],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03458287,"threshold_uncertainty_score":0.1828939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967689506","doi":"10.1016/j.jmva.2010.06.019","title":"On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification","year":2010,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":116,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Agence Nationale de la Recherche","keywords":"Mathematics; Independent and identically distributed random variables; Consistency (knowledge bases); Combinatorics; Nearest neighbour; Strong consistency; Random forest; Multivariate random variable; Weak consistency; k-nearest neighbors algorithm; Random variable; Statistics; Discrete mathematics; Artificial intelligence","authors":[{"name":"Gérard Biau","is_ca":false},{"name":"Luc Devroye","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05151034782966512,"gpt":0.4059097859689578,"spread":0.3543994381392927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02261912,0.001208315,0.002537142,0.003072902,0.001287959,0.002783375,0.003491792,0.004118119,0.001679372],"category_scores_gemma":[0.08336484,0.001202721,0.001759982,0.004181773,0.004175985,0.008502559,0.004165598,0.006029466,0.0009362913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138376,"about_ca_system_score_gemma":0.001983296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0079183,"about_ca_topic_score_gemma":0.007647817,"domain_scores_codex":[0.9848579,0.01069186,0.0006157011,0.001203092,0.002312799,0.00031869],"domain_scores_gemma":[0.9671879,0.02545679,0.001571476,0.002404317,0.002980893,0.0003986544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004974636,0.0001736759,0.005155212,0.0005867463,0.0004834325,0.0001801207,0.0004305301,0.268978,0.001402098,0.3776237,0.009137777,0.3353511],"study_design_scores_gemma":[0.00003860778,0.00008227652,0.001480995,0.0001388102,0.0000884774,0.0001280146,0.00006407073,0.7034573,0.0004990306,0.2885697,0.005344694,0.0001079562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004142122,0.004095516,0.9903008,0.0005867827,0.0001908483,0.00001694961,0.00005846402,0.00009880177,0.0005097764],"genre_scores_gemma":[0.1656579,0.006990795,0.8189336,0.0007122013,0.001886687,0.0002602694,0.0005886202,0.0003123531,0.004657664],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02261912,"threshold_uncertainty_score":0.1196227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086325258","doi":"10.1016/j.jmva.2007.01.003","title":"Change detection in autoregressive time series","year":2007,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Autoregressive model; Mathematics; Estimator; Series (stratigraphy); Statistics; White noise; STAR model; Variance (accounting); Time series; Applied mathematics; Econometrics; Autoregressive integrated moving average","authors":[{"name":"Edit Gombay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009226683500178771,"gpt":0.2418494691530008,"spread":0.232622785652822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284167,0.0003530156,0.0007283825,0.00147152,0.0002897907,0.0009355596,0.0005548854,0.0006488381,0.0009550711],"category_scores_gemma":[0.007451677,0.0002978434,0.0003598807,0.00123813,0.0005104747,0.001045065,0.0005033334,0.0007415006,0.0002224507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870563,"about_ca_system_score_gemma":0.0002628057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766656,"about_ca_topic_score_gemma":0.001003447,"domain_scores_codex":[0.999525,0.000110909,0.00002788089,0.0001183409,0.0001480972,0.00006978938],"domain_scores_gemma":[0.9965396,0.002515042,0.0003686934,0.0001804142,0.0003149187,0.00008124107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001025649,0.0002969442,0.02408248,0.0002599632,0.0002182795,0.0006026637,0.0004266534,0.1696263,0.05428358,0.02700168,0.002859002,0.7193168],"study_design_scores_gemma":[0.00001086355,0.00007422824,0.00901017,0.000009472036,0.0000221427,0.0001394985,0.00003045682,0.9786009,0.005615758,0.00576732,0.0007038699,0.0000152053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2650867,0.0008971927,0.7316629,0.0002436077,0.0001364428,0.00002602219,0.00008419813,0.0006154272,0.001247509],"genre_scores_gemma":[0.9466717,0.0003632249,0.05117546,0.00004233696,0.00009454156,0.00001441905,0.0001710373,0.00006767569,0.001399752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001766656,"threshold_uncertainty_score":0.006791413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992325611","doi":"10.1016/j.jmva.2006.07.007","title":"A new class of bivariate distributions and its mixture","year":2006,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":102,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Bivariate analysis; Class (philosophy); Applied mathematics; Exponential function; Bivariate data; Distribution (mathematics); Exponential family; Exponential distribution; Statistics; Random variable; Statistical physics; Mathematical analysis","authors":[{"name":"Ammar M. Sarhan","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03085302236670369,"gpt":0.3435368431934634,"spread":0.3126838208267598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00479717,0.001542499,0.002199238,0.004073387,0.001505034,0.004324226,0.002705399,0.002102306,0.005007186],"category_scores_gemma":[0.01959524,0.00112565,0.002985522,0.003466718,0.003325382,0.006473452,0.004185206,0.004970105,0.00111806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232745,"about_ca_system_score_gemma":0.001052514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173122,"about_ca_topic_score_gemma":0.0006447496,"domain_scores_codex":[0.9968519,0.0009629644,0.0001421175,0.0008931712,0.0008704364,0.0002793964],"domain_scores_gemma":[0.9900827,0.005215804,0.001142213,0.001351147,0.001391253,0.000816827],"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":[0.0000977948,0.00006385527,0.001938263,0.00008469418,0.00008840393,0.0001886629,0.00030698,0.008801285,0.002126884,0.956897,0.00286191,0.02654427],"study_design_scores_gemma":[0.00004892525,0.00007415437,0.001791164,0.00005136425,0.00008233589,0.001124352,0.0001183177,0.2625858,0.0007348094,0.7202687,0.01304248,0.00007760868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02699453,0.00126588,0.9652438,0.0007593583,0.000195026,0.00005329493,0.0002265902,0.0002342081,0.005027473],"genre_scores_gemma":[0.6212674,0.006229427,0.3337306,0.001393425,0.0030296,0.0007525659,0.001791333,0.0008386261,0.03096698],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005007186,"threshold_uncertainty_score":0.02537018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126819854","doi":"10.1016/j.jmva.2005.03.002","title":"Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model","year":2005,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":99,"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":"Mathematics; Estimator; Semiparametric regression; Polynomial regression; Statistics; Nonparametric statistics; Iterated logarithm; Applied mathematics; Semiparametric model; Nonparametric regression; Polynomial; Linear model; Parametric statistics; Linear regression; Logarithm; Mathematical analysis","authors":[{"name":"Jinhong You","is_ca":false},{"name":"Gemai Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07349939960745647,"gpt":0.3906959156554036,"spread":0.3171965160479472,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008393568,0.001126253,0.0031762,0.0009648104,0.0004524135,0.002611183,0.004225446,0.002640459,0.003718744],"category_scores_gemma":[0.03488117,0.001609173,0.001454877,0.001651556,0.001698198,0.003331444,0.002866586,0.002448157,0.000688117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008293683,"about_ca_system_score_gemma":0.001952372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005420549,"about_ca_topic_score_gemma":0.004656438,"domain_scores_codex":[0.9946767,0.003360953,0.0002305865,0.0009618571,0.0004088672,0.0003610332],"domain_scores_gemma":[0.9680179,0.02518955,0.002813484,0.002363682,0.001212658,0.0004026209],"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":[0.0003697895,0.0001194884,0.005289134,0.0002432013,0.0004824442,0.0002508072,0.000230079,0.8454996,0.0007410211,0.1094044,0.001736534,0.03563347],"study_design_scores_gemma":[0.0000494525,0.00005057153,0.0007357321,0.00001963612,0.00006995042,0.00003662577,0.0000257693,0.9678491,0.0003063487,0.03031031,0.0005221661,0.00002427268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03784037,0.0002021918,0.9600984,0.0004625253,0.00003056272,0.00004002338,0.0003133161,0.0002334867,0.0007790822],"genre_scores_gemma":[0.8188133,0.0005806528,0.1717219,0.0002493642,0.0001388387,0.0002172628,0.001447303,0.0001579767,0.006673412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008393568,"threshold_uncertainty_score":0.04438996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2084940370","doi":"10.1016/j.jmva.2009.05.005","title":"Bivariate Birnbaum–Saunders distribution and associated inference","year":2009,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":96,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Bivariate analysis; Estimator; Univariate; Statistics; Restricted maximum likelihood; Moment (physics); Applied mathematics; Monte Carlo method; Inference; M-estimator; Asymptotic distribution; Maximum likelihood; Multivariate statistics; Computer science","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Ahad Jamalizadeh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05521902823671618,"gpt":0.3841364110361241,"spread":0.328917382799408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02115373,0.001112985,0.002902962,0.005284341,0.001591006,0.003103604,0.002862399,0.002358892,0.009412011],"category_scores_gemma":[0.1201653,0.001043069,0.002437354,0.00449071,0.005302996,0.006444084,0.003044726,0.004506347,0.00128595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670205,"about_ca_system_score_gemma":0.002088774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676908,"about_ca_topic_score_gemma":0.002327078,"domain_scores_codex":[0.9930582,0.004670986,0.0002632613,0.000801986,0.0009383627,0.0002670982],"domain_scores_gemma":[0.9120082,0.07521722,0.002970139,0.005083957,0.004058146,0.0006623269],"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":[0.00007627574,0.00008060451,0.002811948,0.00009506984,0.0001361457,0.000115233,0.0002373526,0.02734744,0.0001882675,0.924057,0.003003914,0.04185069],"study_design_scores_gemma":[0.00002676112,0.000025983,0.001076678,0.00005501027,0.0000666726,0.00009096262,0.00006224029,0.2111173,0.0002595249,0.7850381,0.002149403,0.0000312778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01529881,0.0009938782,0.9798868,0.0007558665,0.0001060362,0.00003807912,0.0001310408,0.0001233985,0.002666064],"genre_scores_gemma":[0.5433552,0.00558279,0.4283154,0.0006630293,0.00152711,0.0006563805,0.001256536,0.0002956243,0.01834801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02115373,"threshold_uncertainty_score":0.111873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996955012","doi":"10.1006/jmva.1999.1853","title":"Multivariate Normal Distributions Parametrized as a Riemannian Symmetric Space","year":2000,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":96,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Metric (unit); Information geometry; Multivariate normal distribution; Covariance; Statistical manifold; Fisher information metric; Riemannian geometry; Multivariate statistics; Metric space; Stein's method; Space (punctuation); Distribution (mathematics); Probability distribution; Gaussian; Mathematical analysis; Function (biology); Statistics; Geometry; Intrinsic metric; Scalar curvature; Convex metric space","authors":[{"name":"Miroslav Lovrić","is_ca":true},{"name":"Maung Min-Oo","is_ca":true},{"name":"Ernst A. Ruh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05594405565444382,"gpt":0.4088857455973854,"spread":0.3529416899429416,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002530916,0.001430459,0.001330813,0.002445381,0.0004830981,0.002220062,0.001468449,0.001553921,0.003643545],"category_scores_gemma":[0.009165759,0.000751614,0.001171233,0.001910248,0.002261775,0.003775914,0.001736566,0.002234679,0.001016194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239567,"about_ca_system_score_gemma":0.0009017358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994099,"about_ca_topic_score_gemma":0.001471843,"domain_scores_codex":[0.9983529,0.0008176609,0.00006319,0.0002988358,0.0003400719,0.0001273784],"domain_scores_gemma":[0.9944304,0.002343368,0.00129102,0.0008166712,0.0007087443,0.0004097081],"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":[0.00008621494,0.0000401405,0.001206246,0.00005017634,0.00006379118,0.0001877117,0.0002041641,0.04285344,0.003608236,0.9310252,0.002275571,0.01839911],"study_design_scores_gemma":[0.00002451857,0.00007123438,0.002204196,0.00001836593,0.00003881058,0.0003214871,0.00005787107,0.3541923,0.0008644497,0.6382694,0.003875791,0.00006166338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07537596,0.0006681841,0.9175122,0.0009604464,0.0001185688,0.00005164393,0.0003553166,0.0003653663,0.004592148],"genre_scores_gemma":[0.8667164,0.002177562,0.1024304,0.0005259651,0.0005881189,0.0001896347,0.0008176942,0.0004223758,0.02613191],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003643545,"threshold_uncertainty_score":0.01338494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064014870","doi":"10.1016/j.jmva.2008.12.005","title":"Inference for multivariate normal mixtures","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":93,"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; Mitacs; National Science Foundation","keywords":"Mathematics; Likelihood function; Estimator; Multivariate statistics; Multivariate normal distribution; Inference; Maximum likelihood; Statistics; Statistical inference; Expectation–maximization algorithm; Mixing (physics); Restricted maximum likelihood; M-estimator; Applied mathematics; Maximum likelihood sequence estimation; Econometrics; Artificial intelligence; Computer science","authors":[{"name":"Jiahua Chen","is_ca":true},{"name":"Xianming Tan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03310425386564551,"gpt":0.322196566863835,"spread":0.2890923129981894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01127761,0.001390723,0.003014092,0.003497154,0.001288894,0.003392557,0.003339318,0.002683979,0.00444032],"category_scores_gemma":[0.06355602,0.002132508,0.002989871,0.002597621,0.003816116,0.006361867,0.003540469,0.005949591,0.0009707387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990498,"about_ca_system_score_gemma":0.002014353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00651996,"about_ca_topic_score_gemma":0.005633064,"domain_scores_codex":[0.994041,0.003412634,0.0002826484,0.0009498891,0.001070015,0.0002437449],"domain_scores_gemma":[0.9708143,0.02435905,0.001024377,0.001828258,0.001579239,0.0003948564],"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":[0.0001811408,0.00008790007,0.001685953,0.0002482245,0.0003166248,0.00008460622,0.0002518167,0.2558704,0.001121151,0.6375254,0.004794654,0.09783213],"study_design_scores_gemma":[0.00001731766,0.000008235947,0.0002178363,0.00002803913,0.00002395672,0.00003275557,0.00001216877,0.57412,0.0002598369,0.4240119,0.001243938,0.00002399144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002250375,0.0004845313,0.9962871,0.000258873,0.000042383,0.00001057809,0.00004287822,0.0001160682,0.0005071978],"genre_scores_gemma":[0.2289278,0.003174749,0.755484,0.0005226822,0.000841553,0.0003069935,0.001234543,0.0005285746,0.008979065],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01127761,"threshold_uncertainty_score":0.05964243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058122694","doi":"10.1016/j.jmva.2008.07.004","title":"On weighting of bivariate margins in pairwise likelihood","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":92,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Statistics Canada","funders":"","keywords":"Mathematics; Pairwise comparison; Statistics; Bivariate analysis; Weighting; Estimator; Multivariate statistics; Multivariate normal distribution; Bivariate data","authors":[{"name":"Harry Joe","is_ca":true},{"name":"Youngjo Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08750922529172378,"gpt":0.3970264819496042,"spread":0.3095172566578804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0397424,0.00258295,0.003395325,0.002723498,0.001484506,0.003652752,0.006113767,0.004046577,0.005068607],"category_scores_gemma":[0.1648368,0.002012441,0.002081176,0.003958326,0.005233174,0.01154303,0.009186278,0.006133291,0.00109081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966073,"about_ca_system_score_gemma":0.001602775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361006,"about_ca_topic_score_gemma":0.002526912,"domain_scores_codex":[0.9789382,0.01580425,0.0007891561,0.001605258,0.002262436,0.0006006447],"domain_scores_gemma":[0.8925436,0.0906134,0.002963796,0.008807185,0.003478759,0.001593277],"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":[0.0002917045,0.0001275311,0.00249801,0.0003224953,0.0002134524,0.000167789,0.0005460859,0.1734258,0.002041809,0.6551329,0.003829955,0.1614025],"study_design_scores_gemma":[0.00003577967,0.00005195669,0.0005967107,0.00007757273,0.00006157842,0.00008951203,0.0000497679,0.4927306,0.001021885,0.5034995,0.00173415,0.00005102591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006069858,0.0003124659,0.9924821,0.0002183326,0.00003936196,0.00002865165,0.00003252316,0.0001160537,0.000700656],"genre_scores_gemma":[0.2746741,0.001396457,0.7155219,0.0005098015,0.0005552546,0.0004492204,0.0004701514,0.001057571,0.005365503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0397424,"threshold_uncertainty_score":0.2101804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979307052","doi":"10.1016/j.jmva.2010.03.015","title":"From Archimedean to Liouville copulas","year":2010,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Copula (linguistics); Laplace transform; Simplex; Random variable; Tail dependence; Pure mathematics; Applied mathematics; Mathematical analysis; Combinatorics; Statistics; Multivariate statistics; Econometrics","authors":[{"name":"Alexander J. McNeil","is_ca":false},{"name":"Johanna Nešlehová","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02464680366821789,"gpt":0.2642427053284525,"spread":0.2395959016602346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003443438,0.00131428,0.001173491,0.00215848,0.0008729388,0.003142555,0.001300142,0.001671832,0.003880755],"category_scores_gemma":[0.01513586,0.0007269429,0.001312087,0.002128907,0.002786396,0.005137023,0.002188403,0.004533015,0.0007440145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560076,"about_ca_system_score_gemma":0.001345634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00286497,"about_ca_topic_score_gemma":0.002113433,"domain_scores_codex":[0.9990069,0.0005489201,0.00005087685,0.000107996,0.0002123807,0.00007297376],"domain_scores_gemma":[0.9966085,0.00196194,0.000292688,0.000371664,0.0005018279,0.0002633984],"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":[0.000008468975,0.00001489888,0.0002251775,0.00002263529,0.00001535201,0.00004221399,0.00008479307,0.01306087,0.0001743593,0.9773876,0.001413317,0.007550396],"study_design_scores_gemma":[0.000002968445,0.000005771712,0.000127223,0.00001455576,0.000005486589,0.00002143114,0.00001880949,0.06226047,0.00003889014,0.9349891,0.002504353,0.00001094992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02864917,0.009594214,0.9290975,0.003100072,0.0008815728,0.00002668848,0.0001520782,0.0001527548,0.02834589],"genre_scores_gemma":[0.7384911,0.01781663,0.1997189,0.002049222,0.004474204,0.0001486439,0.0003674767,0.0004679384,0.03646593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003880755,"threshold_uncertainty_score":0.01821083,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135662767","doi":"10.1006/jmva.2000.1967","title":"A Nonparametric Test of Serial Independence for Time Series and Residuals","year":2001,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Independence (probability theory); Nonparametric statistics; Series (stratigraphy); Statistics; Time series; Econometrics; Nonparametric regression; Autocorrelation; Statistical hypothesis testing; Applied mathematics","authors":[{"name":"Kilani Ghoudi","is_ca":true},{"name":"Reg Kulperger","is_ca":true},{"name":"Bruno Rémillard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0255005040577826,"gpt":0.2599795755740121,"spread":0.2344790715162295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02547471,0.0008262309,0.00198895,0.004004914,0.001318097,0.002658088,0.002644323,0.002171629,0.008202343],"category_scores_gemma":[0.1776965,0.0006679129,0.002287984,0.003193059,0.003942453,0.005024081,0.002769219,0.002599588,0.0009406248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776685,"about_ca_system_score_gemma":0.002608982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196155,"about_ca_topic_score_gemma":0.001407609,"domain_scores_codex":[0.9788835,0.01279359,0.00138375,0.002797604,0.003321567,0.0008200163],"domain_scores_gemma":[0.6831527,0.2744431,0.008906752,0.0241149,0.007421444,0.001961056],"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":[0.005095633,0.001527763,0.1974544,0.0004999322,0.003689936,0.002067974,0.001311082,0.08109415,0.01149009,0.2162093,0.008902376,0.4706573],"study_design_scores_gemma":[0.0007463589,0.001980761,0.1336612,0.0001697202,0.0005021562,0.001924075,0.0006999696,0.6726271,0.005279717,0.1759595,0.006176629,0.0002727924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3296907,0.0003833021,0.6595017,0.0004877227,0.000195285,0.0002543203,0.001331304,0.0008950295,0.007260705],"genre_scores_gemma":[0.8922963,0.000210329,0.1011054,0.0001559343,0.0003468281,0.0003862139,0.002728934,0.0002247485,0.002545252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02547471,"threshold_uncertainty_score":0.1347247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025168569","doi":"10.1016/j.jmva.2008.08.005","title":"Monitoring parameter change in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si50.gif\" display=\"inline\" overflow=\"scroll\"><mml:mstyle mathvariant=\"normal\"><mml:mi>AR</mml:mi></mml:mstyle><mml:mrow><mml:mo>(</mml:mo><mml:mi>p</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math>time series models","year":2008,"lang":"lv","type":"article","venue":"Journal of Multivariate Analysis","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"CUSUM; Autoregressive model; Mathematics; Scroll; Series (stratigraphy); Algorithm; Statistics; Autoregressive–moving-average model; Applied mathematics","authors":[{"name":"Edit Gombay","is_ca":true},{"name":"Daniel Serban","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04217043394014507,"gpt":0.2981876160440374,"spread":0.2560171821038923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00184647,0.0009034876,0.0007449645,0.001998736,0.000321618,0.001884193,0.0008438962,0.00113859,0.01571006],"category_scores_gemma":[0.018491,0.0003567374,0.0006138989,0.001776795,0.0002729253,0.00204335,0.0009457939,0.001710933,0.007019605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006646041,"about_ca_system_score_gemma":0.0009511464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007222068,"about_ca_topic_score_gemma":0.004913114,"domain_scores_codex":[0.9986216,0.00022359,0.0000848669,0.0004405523,0.00054173,0.00008766347],"domain_scores_gemma":[0.9952342,0.001936066,0.0006472873,0.00119507,0.0008341467,0.000153171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001943386,0.0008682761,0.1049913,0.0005377641,0.0004132909,0.0005459759,0.0008932498,0.1293548,0.04992333,0.01716069,0.08401845,0.6093495],"study_design_scores_gemma":[0.00005192307,0.0003877548,0.04050442,0.00007110673,0.0001077077,0.0003149661,0.000181824,0.8594584,0.06455728,0.0113315,0.02287693,0.000156089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.261733,0.0003909902,0.6489722,0.001354121,0.0004472193,0.0004202441,0.02818064,0.03601346,0.0224881],"genre_scores_gemma":[0.8280355,0.0003700113,0.1300143,0.0002688557,0.0001293619,0.0004417484,0.0212589,0.002323723,0.01715748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01571006,"threshold_uncertainty_score":0.05255538,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153618310","doi":"10.1016/j.jmva.2014.06.003","title":"Tests for covariance matrices in high dimension with less sample size","year":2014,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":79,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Law of total covariance; Dimension (graph theory); Estimation of covariance matrices; Covariance matrix; Covariance; Identity matrix; Sample size determination; Scatter matrix; Sphericity; Statistics; Estimator; Rational quadratic covariance function; Matrix (chemical analysis); Matérn covariance function; Combinatorics; Applied mathematics; Covariance intersection; Eigenvalues and eigenvectors","authors":[{"name":"Muni S. Srivastava","is_ca":true},{"name":"Hirokazu Yanagihara","is_ca":false},{"name":"Tatsuya Kubokawa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03127185143765049,"gpt":0.3259716838429456,"spread":0.2946998324052951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0403619,0.001903354,0.003796304,0.002916678,0.001380871,0.003964075,0.003659186,0.003246755,0.01016456],"category_scores_gemma":[0.2976514,0.001206753,0.002684509,0.003171802,0.003898645,0.009627358,0.004194354,0.004193499,0.001332834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007424926,"about_ca_system_score_gemma":0.002443758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009135808,"about_ca_topic_score_gemma":0.001154216,"domain_scores_codex":[0.9393566,0.04271869,0.003050979,0.007973698,0.005703329,0.00119658],"domain_scores_gemma":[0.439637,0.5039878,0.01166083,0.03553022,0.006757453,0.002426676],"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":[0.01038541,0.00152576,0.1536126,0.002198532,0.009989652,0.002021433,0.001236588,0.07046706,0.03337711,0.1407822,0.01087479,0.5635288],"study_design_scores_gemma":[0.002709204,0.007074729,0.1056984,0.0003535516,0.002072606,0.002783451,0.0008857104,0.4508502,0.02134736,0.3947919,0.01089801,0.0005348743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2357851,0.0008239743,0.7552505,0.001440019,0.0005748319,0.0002960354,0.001178314,0.001688647,0.002962631],"genre_scores_gemma":[0.7368935,0.0002223339,0.2553956,0.0009601365,0.0007489312,0.0005870554,0.001950786,0.0004410857,0.00280061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0403619,"threshold_uncertainty_score":0.2134566,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967773668","doi":"10.1016/j.jmva.2015.01.011","title":"Conditional quantiles and tail dependence","year":2015,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":73,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Conditional probability distribution; Copula (linguistics); Econometrics; Mathematics; Quantile regression; Tail dependence; Conditional variance; Marginal distribution; Probit; Probit model; Statistics; Conditional dependence; Random variable; Multivariate statistics; Autoregressive conditional heteroskedasticity","authors":[{"name":"Carole Bernard","is_ca":false},{"name":"Claudia Czado","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07367925487161318,"gpt":0.2799140365580461,"spread":0.2062347816864329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006396119,0.0006712317,0.001262026,0.00210427,0.0006113598,0.002386443,0.001650466,0.001405374,0.007652863],"category_scores_gemma":[0.04230928,0.001064781,0.001066785,0.001639213,0.002833892,0.006181543,0.002196542,0.00376463,0.0006061335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384007,"about_ca_system_score_gemma":0.0007011073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935485,"about_ca_topic_score_gemma":0.00204207,"domain_scores_codex":[0.9990519,0.0003574011,0.00005235333,0.0001842226,0.0001801556,0.000173883],"domain_scores_gemma":[0.9640681,0.02547492,0.003465432,0.003538641,0.002049492,0.001403352],"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":[0.0001587715,0.0001123458,0.01662236,0.00006294846,0.0001159808,0.0002725406,0.0003702935,0.06452869,0.001468718,0.8911561,0.003046011,0.02208525],"study_design_scores_gemma":[0.0000194582,0.00002556123,0.01160204,0.00003642614,0.00004848218,0.0001848669,0.00005996898,0.3680038,0.0005443582,0.6184973,0.0009240684,0.00005361607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3778609,0.002132885,0.6071272,0.002473606,0.000123552,0.00003654469,0.0006081896,0.0008715375,0.008765622],"genre_scores_gemma":[0.9807501,0.001118288,0.01068926,0.0001954622,0.0002269694,0.00003892005,0.000529945,0.0002441218,0.00620691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007652863,"threshold_uncertainty_score":0.03382629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1978526075","doi":"10.1016/j.jmva.2014.11.002","title":"Structured factor copula models: Theory, inference and computation","year":2014,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":72,"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","keywords":"Copula (linguistics); Tail dependence; Mathematics; Econometrics; Inference; Multivariate statistics; Factor analysis; Statistics; Statistical physics; Computer science; Artificial intelligence","authors":[{"name":"Pavel Krupskii","is_ca":true},{"name":"Harry Joe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04868467351894074,"gpt":0.2807584056897712,"spread":0.2320737321708305,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003973078,0.001295772,0.002457555,0.001372677,0.00065208,0.003339642,0.002261362,0.001868878,0.00355193],"category_scores_gemma":[0.02692151,0.001799902,0.00172033,0.0022915,0.00193329,0.005073438,0.00175762,0.003646202,0.0006206757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098821,"about_ca_system_score_gemma":0.002100201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005379656,"about_ca_topic_score_gemma":0.004631397,"domain_scores_codex":[0.9985471,0.0008373091,0.0000644355,0.0002311608,0.0002174418,0.000102468],"domain_scores_gemma":[0.984522,0.01251044,0.0009014939,0.001048326,0.0007759898,0.0002417469],"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":[0.00005301808,0.00008624714,0.002077083,0.0001557126,0.0001747094,0.0001079745,0.0001295318,0.5098652,0.0004675379,0.4424479,0.003981303,0.04045377],"study_design_scores_gemma":[0.000007220289,0.00000669163,0.0001506831,0.00001316642,0.00001121591,0.00001846515,0.000008819896,0.8322642,0.00006027397,0.1670888,0.000361021,0.000009329492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006464181,0.0006602085,0.9917367,0.0003160581,0.00003237599,0.00001539305,0.00007496908,0.0001155517,0.0005845866],"genre_scores_gemma":[0.5089253,0.004390008,0.4802264,0.0002855667,0.0006015188,0.0002811953,0.0007332819,0.0002956462,0.004261102],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005379656,"threshold_uncertainty_score":0.02101189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977799921","doi":"10.1016/j.jmva.2005.08.010","title":"Multivariate analysis of variance with fewer observations than the dimension","year":2006,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate analysis of variance; Mathematics; Multivariate statistics; Statistics; Multivariate analysis; Covariance matrix; Dimension (graph theory); Matrix t-distribution; Multivariate normal distribution; Covariance; Scatter matrix; Variance (accounting); Econometrics; Applied mathematics; Combinatorics","authors":[{"name":"Muni S. Srivastava","is_ca":true},{"name":"Yasunori Fujikoshi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07180063887385882,"gpt":0.3560913666073106,"spread":0.2842907277334518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03274132,0.00179351,0.004990051,0.001499392,0.00170743,0.003775371,0.002631101,0.002031676,0.003651272],"category_scores_gemma":[0.1209642,0.001613561,0.003436523,0.002273384,0.005029826,0.009858537,0.004380949,0.006451781,0.0007397375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009633095,"about_ca_system_score_gemma":0.002551865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000769485,"about_ca_topic_score_gemma":0.0009353391,"domain_scores_codex":[0.9589407,0.02823953,0.002188148,0.006056736,0.003812669,0.000762316],"domain_scores_gemma":[0.8404019,0.09565958,0.00577581,0.05181988,0.005208804,0.00113399],"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":[0.003364223,0.0005713741,0.02840257,0.001494964,0.002267006,0.0006497419,0.001349691,0.04267675,0.01866319,0.529901,0.007751987,0.3629075],"study_design_scores_gemma":[0.0003779751,0.0008802367,0.01972741,0.0002782844,0.0008848605,0.001042012,0.000391453,0.2803335,0.007442438,0.673153,0.01520427,0.0002847294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02914028,0.0007259019,0.9674255,0.0009145912,0.0004153892,0.00006858194,0.0002822854,0.0002264859,0.0008010655],"genre_scores_gemma":[0.3651472,0.00168191,0.624614,0.0009301844,0.001859284,0.000823939,0.001145144,0.0002743721,0.003523987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03274132,"threshold_uncertainty_score":0.1731547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000375636","doi":"10.1016/j.jmva.2010.04.016","title":"Exploring uses of persistent homology for statistical analysis of landmark-based shape data","year":2010,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Banff International Research Station for Mathematical Innovation and Discovery; University of Alberta","keywords":"Landmark; Persistent homology; Mathematics; Point distribution model; Euclidean geometry; Shape analysis (program analysis); Topological data analysis; Dimensionality reduction; Pattern recognition (psychology); Euclidean distance; Statistical analysis; Artificial intelligence; Statistics; Geometry; Algorithm; Computer science","authors":[{"name":"Jennifer Gamble","is_ca":true},{"name":"Giseon Heo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1810581310764988,"gpt":0.3451736779347295,"spread":0.1641155468582308,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006887475,0.0005048217,0.001036979,0.003427649,0.001119617,0.004336006,0.001808399,0.0009381594,0.002015398],"category_scores_gemma":[0.02687437,0.0005881944,0.001377371,0.003601203,0.003385802,0.005542019,0.004762113,0.001528773,0.0004075184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006186477,"about_ca_system_score_gemma":0.001432299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349347,"about_ca_topic_score_gemma":0.002070138,"domain_scores_codex":[0.9971635,0.001607018,0.0001238084,0.000438737,0.0004772331,0.0001895813],"domain_scores_gemma":[0.9742711,0.01981944,0.001103765,0.003114723,0.00108455,0.0006063499],"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":[0.000724364,0.000311888,0.02175381,0.0003392697,0.0003862646,0.0006088694,0.002938332,0.141781,0.02130306,0.3648295,0.001456222,0.4435675],"study_design_scores_gemma":[0.00002573872,0.0001583285,0.002910847,0.00002785212,0.00006109318,0.0002479856,0.0005791641,0.7205001,0.002961636,0.2707116,0.001770065,0.00004567964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09690848,0.0003120283,0.9010661,0.0003387429,0.00001217833,0.00002499551,0.00007065064,0.0004286721,0.000838139],"genre_scores_gemma":[0.7892725,0.0004419337,0.208914,0.00007380256,0.00006052871,0.00006038705,0.0002764305,0.0003084197,0.0005919995],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006887475,"threshold_uncertainty_score":0.03642493,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098372663","doi":"10.1016/j.jmva.2008.01.016","title":"Estimation of the precision matrix of a singular Wishart distribution and its application in high-dimensional data","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":68,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of Tokyo","keywords":"Wishart distribution; Mathematics; Identity matrix; Scatter matrix; Estimator; Statistics; Applied mathematics; Matrix (chemical analysis); Bias of an estimator; Bayes' theorem; Linear discriminant analysis; Eigenvalues and eigenvectors; Estimation of covariance matrices; Minimum-variance unbiased estimator; Multivariate statistics; Bayesian probability","authors":[{"name":"Tatsuya Kubokawa","is_ca":false},{"name":"Muni S. Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03496202174629087,"gpt":0.3351218869636243,"spread":0.3001598652173335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009240509,0.001161437,0.00171577,0.002495696,0.0008260428,0.002296055,0.001995635,0.002540844,0.0009978518],"category_scores_gemma":[0.06581207,0.00149015,0.001619114,0.002741114,0.002313617,0.003210614,0.002120696,0.002673756,0.0005610393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006345937,"about_ca_system_score_gemma":0.00136694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290671,"about_ca_topic_score_gemma":0.001827603,"domain_scores_codex":[0.9969349,0.001523327,0.0001854473,0.0004980119,0.0007266923,0.0001316803],"domain_scores_gemma":[0.9449425,0.0461144,0.002471111,0.003295543,0.002664183,0.000512297],"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":[0.0005318891,0.0001802082,0.008587542,0.0006250698,0.0005281028,0.0005210098,0.0006815719,0.5767816,0.02119744,0.1325853,0.001902446,0.2558779],"study_design_scores_gemma":[0.00001835529,0.00006173507,0.001922319,0.00003461096,0.00004300147,0.0002062335,0.00003656949,0.9581416,0.003827036,0.03502718,0.0006001322,0.00008120565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008688238,0.0002618049,0.9906104,0.00008615752,0.00001683097,0.00001233581,0.00002813509,0.0001467094,0.0001494841],"genre_scores_gemma":[0.3139704,0.001620775,0.6816924,0.0001213773,0.0002555682,0.0001297171,0.0004491431,0.000279513,0.001481221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009240509,"threshold_uncertainty_score":0.04886907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120284406","doi":"10.1016/j.jmva.2012.10.004","title":"Nonparametric tests for change-point detection à la Gombay and Horváth","year":2012,"lang":"fr","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":66,"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 Trois-Rivières","funders":"","keywords":"Mathematics; Bivariate analysis; Univariate; Nonparametric statistics; Multivariate statistics; Monte Carlo method; Statistics; Generalization; Statistical hypothesis testing; Econometrics; Applied mathematics; Mathematical analysis","authors":[{"name":"Mark Holmes","is_ca":false},{"name":"Ivan Kojadinovic","is_ca":false},{"name":"Jean‐François Quessy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1196909703486752,"gpt":0.412073208547818,"spread":0.2923822381991428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02652287,0.001268626,0.003292383,0.003011192,0.001160276,0.004367582,0.003508408,0.002777888,0.003974304],"category_scores_gemma":[0.1745445,0.000905104,0.002640471,0.003562694,0.00757747,0.00530746,0.003502949,0.007117704,0.0008435799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497194,"about_ca_system_score_gemma":0.00366971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674299,"about_ca_topic_score_gemma":0.001069165,"domain_scores_codex":[0.9770833,0.01516874,0.0009518662,0.002852324,0.003172174,0.0007716622],"domain_scores_gemma":[0.8009641,0.1737076,0.004760622,0.01209504,0.007486468,0.0009860386],"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":[0.002085048,0.0002497576,0.01172605,0.0008689081,0.001191023,0.0007015981,0.0009782646,0.03053778,0.00416699,0.5471454,0.0134993,0.3868499],"study_design_scores_gemma":[0.0002846648,0.0006881314,0.01487279,0.0002798207,0.0003651198,0.0006711141,0.0003133266,0.1767486,0.003098679,0.7846423,0.01783572,0.0001996227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02601493,0.004716799,0.962842,0.001782606,0.0005961662,0.0001280963,0.00043979,0.0006137938,0.002865671],"genre_scores_gemma":[0.5782813,0.003200725,0.4027932,0.00109197,0.001747682,0.001495023,0.001819986,0.0009232562,0.008646756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02652287,"threshold_uncertainty_score":0.140268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127242229","doi":"10.1016/j.jmva.2005.03.009","title":"A statistical model for random rotations","year":2005,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Estimator; Moment (physics); Cayley graph; Monte Carlo method; Rotation (mathematics); Cayley transform; Expression (computer science); Space (punctuation); Combinatorics; Statistical physics; Mathematical analysis; Statistics; Geometry","authors":[{"name":"Carlos A. León","is_ca":true},{"name":"Jean‐Claude Massé","is_ca":true},{"name":"Louis‐Paul Rivest","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01886509390113034,"gpt":0.2939051552317776,"spread":0.2750400613306472,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01102379,0.001508083,0.001906658,0.00235438,0.001034967,0.00275214,0.004056497,0.00203729,0.007769214],"category_scores_gemma":[0.03183648,0.001214046,0.003167326,0.003695409,0.002879744,0.004589143,0.002040989,0.003290733,0.003340599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357732,"about_ca_system_score_gemma":0.001897383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835559,"about_ca_topic_score_gemma":0.003468864,"domain_scores_codex":[0.9920062,0.004417797,0.0003679245,0.001713772,0.0009729363,0.000521428],"domain_scores_gemma":[0.975486,0.01721679,0.001565966,0.003729673,0.001641938,0.0003597001],"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":[0.0001243657,0.00008366424,0.001399038,0.0001015183,0.000161539,0.0001389459,0.000234185,0.2551912,0.001322579,0.6618192,0.004447892,0.07497601],"study_design_scores_gemma":[0.00003139252,0.00006060786,0.0003946662,0.00002645851,0.00003984784,0.0001257989,0.00002081352,0.600226,0.0003276822,0.3954199,0.003290374,0.00003645286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003246674,0.0001422112,0.9953733,0.0001491663,0.00003233149,0.00002960585,0.0001678495,0.000192897,0.0006659204],"genre_scores_gemma":[0.3061252,0.00151693,0.66515,0.0005225342,0.0004694645,0.001330097,0.002717495,0.0008078952,0.02136039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01102379,"threshold_uncertainty_score":0.05830008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059296920","doi":"10.1016/j.jmva.2013.12.013","title":"Multivariate Archimax copulas","year":2014,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Multivariate statistics; Copula (linguistics); Bivariate analysis; Mathematics; Multivariate analysis; Econometrics; Univariate; Statistics","authors":[{"name":"Arthur Charpentier","is_ca":true},{"name":"Anne‐Laure Fougères","is_ca":false},{"name":"Christian Genest","is_ca":true},{"name":"Johanna Nešlehová","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03275809156087462,"gpt":0.2604514471476593,"spread":0.2276933555867847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002188947,0.001324773,0.001398618,0.001386035,0.0006877207,0.002849005,0.001114845,0.001127054,0.008018158],"category_scores_gemma":[0.009444422,0.0007939897,0.001535835,0.001560553,0.001383187,0.003481785,0.00160038,0.002863502,0.001363385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000870321,"about_ca_system_score_gemma":0.0008838443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175075,"about_ca_topic_score_gemma":0.001228584,"domain_scores_codex":[0.9991639,0.0003400737,0.0000421748,0.0001343765,0.0002190911,0.0001004997],"domain_scores_gemma":[0.9970219,0.001219717,0.0004687691,0.0004677644,0.0005649115,0.0002570052],"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":[0.00003028674,0.0000351254,0.000951148,0.00005004051,0.00008150762,0.0001203564,0.00008279821,0.04423667,0.001310993,0.9350674,0.004130223,0.01390352],"study_design_scores_gemma":[0.00001132476,0.00002525267,0.001615889,0.0000308974,0.00005356713,0.0002459205,0.0000397978,0.4081524,0.0005080503,0.5838658,0.005409936,0.00004123547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05574148,0.003261755,0.9067807,0.001655446,0.0004340157,0.000040058,0.0004402647,0.0004353952,0.03121092],"genre_scores_gemma":[0.8600142,0.004744272,0.07840226,0.0005572588,0.001255258,0.0001178632,0.0007129557,0.0004548868,0.05374094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008018158,"threshold_uncertainty_score":0.02682346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033839360","doi":"10.1016/j.jmva.2007.01.009","title":"Nonparametric tests of independence between random vectors","year":2007,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Mathematics; Multivariate random variable; Independence (probability theory); Nonparametric statistics; Marginal distribution; Random variable; Univariate; Joint probability distribution; Distance correlation; Multivariate normal distribution; Asymptotic distribution; Applied mathematics; Statistics; Multivariate statistics","authors":[{"name":"Rudolf Beran","is_ca":false},{"name":"Martin Bilodeau","is_ca":true},{"name":"Pierre Lafaye de Micheaux","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02065392681814222,"gpt":0.3207989578959037,"spread":0.3001450310777615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03553027,0.001360085,0.002886045,0.004438668,0.001260408,0.004199852,0.004078093,0.002912353,0.009103347],"category_scores_gemma":[0.2576562,0.001364259,0.002542062,0.003375618,0.008612473,0.008351714,0.003950971,0.0053796,0.001375602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008566,"about_ca_system_score_gemma":0.002576953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292174,"about_ca_topic_score_gemma":0.00103761,"domain_scores_codex":[0.9550463,0.03199703,0.001797841,0.004195922,0.005780171,0.001182796],"domain_scores_gemma":[0.5435197,0.4097431,0.01291462,0.02425187,0.007050893,0.002519774],"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":[0.003336816,0.0009095184,0.03550303,0.0006515085,0.002147813,0.0006070451,0.001310648,0.06088583,0.003713314,0.6164769,0.005227936,0.2692297],"study_design_scores_gemma":[0.0003906388,0.0004197318,0.02272488,0.0002339519,0.0002356084,0.0005839188,0.000320358,0.2474521,0.002634037,0.7222303,0.002600723,0.0001738502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0761032,0.0007568505,0.9175206,0.0005274243,0.0001128253,0.000125325,0.0005275669,0.0004320744,0.003894259],"genre_scores_gemma":[0.787964,0.000876801,0.2026597,0.0003960037,0.0004224226,0.0008969249,0.002547508,0.0003622173,0.003874381],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03553027,"threshold_uncertainty_score":0.1879043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982984483","doi":"10.1016/j.jmva.2008.09.010","title":"Likelihood ratio order of the second order statistic from independent heterogeneous exponential random variables","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"China Scholarship Council","keywords":"Mathematics; Order statistic; Statistics; Random variable; Hazard ratio; Order (exchange); Stochastic ordering; Statistic; Exponential function; Combinatorics; Confidence interval; Mathematical analysis","authors":[{"name":"Peng Zhao","is_ca":false},{"name":"Xiaohu Li","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03226462765332522,"gpt":0.3098091894459716,"spread":0.2775445617926464,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01577238,0.001342616,0.002166401,0.003221446,0.0008290021,0.00426907,0.002279174,0.002602695,0.006521421],"category_scores_gemma":[0.1024759,0.001086474,0.001692067,0.001801072,0.003990121,0.008076105,0.00304451,0.003738981,0.001285729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881478,"about_ca_system_score_gemma":0.002779359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165812,"about_ca_topic_score_gemma":0.001006126,"domain_scores_codex":[0.9937094,0.003148939,0.0003018995,0.0009505775,0.001423038,0.0004660705],"domain_scores_gemma":[0.9025935,0.0770614,0.005430949,0.007283496,0.005587295,0.00204332],"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":[0.0007726308,0.0001605304,0.01588646,0.0005199969,0.0002453646,0.0009336898,0.0006859772,0.09705155,0.007450001,0.8218318,0.004450114,0.05001196],"study_design_scores_gemma":[0.0001071305,0.0001950609,0.006807994,0.00007935131,0.0001030358,0.001101172,0.0001641788,0.5234295,0.004829566,0.460377,0.002642461,0.0001635845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05426639,0.0004094647,0.9403089,0.0007335212,0.00008566835,0.00007207912,0.0002589796,0.0003326703,0.003532403],"genre_scores_gemma":[0.7985266,0.001237843,0.1866304,0.0006625736,0.0006838511,0.0003558848,0.001860888,0.0006938086,0.009348162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01577238,"threshold_uncertainty_score":0.08341336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2755085875","doi":"10.1016/j.jmva.2017.08.004","title":"Inference for the autocovariance of a functional time series under conditional heteroscedasticity","year":2017,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Autocovariance; Heteroscedasticity; Autocorrelation; Mathematics; Econometrics; Series (stratigraphy); White noise; Statistics; Time series; Functional data analysis; Inference; Statistical inference; Bootstrapping (finance); Computer science; Artificial intelligence","authors":[{"name":"Piotr Kokoszka","is_ca":false},{"name":"Gregory Rice","is_ca":true},{"name":"Han Lin Shang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07387479096065522,"gpt":0.2995042619138702,"spread":0.225629470953215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01144787,0.0008097393,0.001656522,0.001789943,0.0004955832,0.001924979,0.002001812,0.001745799,0.002043331],"category_scores_gemma":[0.05077737,0.001495593,0.00212766,0.001216055,0.001892918,0.00382148,0.001223612,0.002682126,0.0003366799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063342,"about_ca_system_score_gemma":0.001779322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006966873,"about_ca_topic_score_gemma":0.004131389,"domain_scores_codex":[0.9973987,0.00108299,0.000187288,0.00071297,0.0003842885,0.0002337214],"domain_scores_gemma":[0.9488671,0.04552008,0.001663225,0.002213133,0.001303481,0.0004329107],"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":[0.0005533622,0.0002375809,0.03251858,0.0002372496,0.001173342,0.0003323536,0.0002743407,0.7057167,0.006779125,0.1765794,0.001243155,0.07435486],"study_design_scores_gemma":[0.00002182256,0.00003439092,0.003105668,0.0000134284,0.00003932458,0.00004932614,0.00001838718,0.9575045,0.0008879532,0.03820923,0.00009519812,0.00002070187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1349755,0.0001765394,0.8636574,0.0002796878,0.00003497747,0.0000185567,0.0001387937,0.0002871352,0.0004314898],"genre_scores_gemma":[0.9396484,0.0004094719,0.05736138,0.0001200774,0.0001816494,0.00004694226,0.0007054422,0.0001350783,0.001391536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01144787,"threshold_uncertainty_score":0.06054288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130027785","doi":"10.1016/j.jmva.2012.03.005","title":"Boundary behavior in High Dimension, Low Sample Size asymptotics of PCA","year":2012,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Principal component analysis; Eigenvalues and eigenvectors; Covariance; Dimension (graph theory); Sample size determination; Degenerate energy levels; Asymptotic distribution; Population; Consistency (knowledge bases); Gaussian; Context (archaeology); Boundary (topology); Statistics; Sample mean and sample covariance; Mathematical analysis; Applied mathematics; Combinatorics; Geometry","authors":[{"name":"Sungkyu Jung","is_ca":false},{"name":"Arusharka Sen","is_ca":true},{"name":"J. S. Marron","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02358996501270266,"gpt":0.3211507806201004,"spread":0.2975608156073977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01150083,0.0009759431,0.002095833,0.00267752,0.001545608,0.003421608,0.002642095,0.002768742,0.004987149],"category_scores_gemma":[0.1301135,0.001209825,0.0009456358,0.001293045,0.007308622,0.007069962,0.004109161,0.004680778,0.0008005336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607841,"about_ca_system_score_gemma":0.001165414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452698,"about_ca_topic_score_gemma":0.001444736,"domain_scores_codex":[0.9955919,0.002384508,0.0001471876,0.0006190593,0.000929607,0.0003276343],"domain_scores_gemma":[0.9072879,0.0769384,0.003313665,0.005629801,0.004280032,0.002550179],"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":[0.0003363837,0.0001607225,0.004341961,0.0004617246,0.00009565099,0.0005544052,0.0009262285,0.06153069,0.006809841,0.8980484,0.006578264,0.02015569],"study_design_scores_gemma":[0.00006692921,0.00007355988,0.004152017,0.0001127157,0.00003290171,0.0003506413,0.0001737772,0.526351,0.001365233,0.4658464,0.001394169,0.00008072479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2271637,0.003074585,0.738918,0.00424803,0.0003338535,0.0001267701,0.00041581,0.001661566,0.02405765],"genre_scores_gemma":[0.9190239,0.001447744,0.06822619,0.0009785154,0.0007176628,0.000350649,0.0006490918,0.0006153049,0.007991008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01150083,"threshold_uncertainty_score":0.06082296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068057588","doi":"10.1016/j.jmva.2014.11.009","title":"A sufficient condition for the convergence of the mean shift algorithm with Gaussian kernel","year":2014,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Mathematics; Mean-shift; Algorithm; Kernel (algebra); Convergence (economics); Probability density function; Gaussian; Cluster analysis; Kernel density estimation; Gaussian function; Variable kernel density estimation; Kernel method; Applied mathematics; Segmentation; Artificial intelligence; Combinatorics; Statistics; Computer science; Support vector machine","authors":[{"name":"Youness Aliyari Ghassabeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01148174117464426,"gpt":0.2717068946204175,"spread":0.2602251534457732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01272156,0.002185694,0.002970257,0.003054853,0.002171355,0.003330691,0.003439142,0.005083709,0.01006089],"category_scores_gemma":[0.09995233,0.001540712,0.002266709,0.002124979,0.005408431,0.006785355,0.006653395,0.007046279,0.004317071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259067,"about_ca_system_score_gemma":0.005609693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003775417,"about_ca_topic_score_gemma":0.002418158,"domain_scores_codex":[0.9942949,0.001802637,0.0004779219,0.001380368,0.001448184,0.0005958942],"domain_scores_gemma":[0.9228513,0.05598444,0.002712232,0.003018794,0.01305619,0.002377077],"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":[0.0008933238,0.0002596093,0.003113873,0.0009479087,0.0002573779,0.0007446865,0.001217161,0.1473243,0.02991043,0.7489824,0.009577593,0.05677127],"study_design_scores_gemma":[0.0001357933,0.0001807929,0.0010186,0.0002387641,0.00006880624,0.0005051437,0.0001842698,0.743795,0.01066275,0.2369391,0.006106385,0.0001645401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01114217,0.0005142702,0.9829184,0.0009189277,0.0001585701,0.00008903041,0.0001859213,0.0002883392,0.003784294],"genre_scores_gemma":[0.3828881,0.002725445,0.5941458,0.001481183,0.0009425591,0.001264307,0.001712075,0.00219288,0.01264758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01272156,"threshold_uncertainty_score":0.0672788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1985720541","doi":"10.1016/j.jmva.2011.03.003","title":"Some tests for the covariance matrix with fewer observations than the dimension under non-normality","year":2011,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Identity matrix; Covariance matrix; Scatter matrix; Estimation of covariance matrices; Law of total covariance; Covariance; Matrix (chemical analysis); Dimension (graph theory); Normality; CMA-ES; Rational quadratic covariance function; Covariance function; Statistics; Applied mathematics; Combinatorics; Covariance intersection; Eigenvalues and eigenvectors","authors":[{"name":"Muni S. Srivastava","is_ca":true},{"name":"Tõnu Kollo","is_ca":false},{"name":"Dietrich von Rosen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1077635713744592,"gpt":0.3521948851587209,"spread":0.2444313137842618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05051613,0.002717935,0.003768844,0.00436445,0.001783291,0.003647035,0.006501931,0.003579964,0.007181318],"category_scores_gemma":[0.3131523,0.001297328,0.003875684,0.004812545,0.008279676,0.009385738,0.004132851,0.005022575,0.0006156971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325676,"about_ca_system_score_gemma":0.003613154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123054,"about_ca_topic_score_gemma":0.001278432,"domain_scores_codex":[0.9595338,0.0274035,0.002914375,0.00485982,0.004065991,0.001222532],"domain_scores_gemma":[0.3686816,0.5961002,0.01018246,0.01452196,0.007761299,0.002752436],"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":[0.005250315,0.00100225,0.06866627,0.002074267,0.003805657,0.002047188,0.001452546,0.08432483,0.01166705,0.4722083,0.007887698,0.3396135],"study_design_scores_gemma":[0.001020434,0.002776201,0.02823338,0.0002415911,0.0008560796,0.001158509,0.0007188776,0.3957137,0.007417528,0.5571145,0.004366478,0.0003826204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1394214,0.001073534,0.8520928,0.002090141,0.0003306212,0.0002568236,0.0009551148,0.0006190081,0.003160569],"genre_scores_gemma":[0.6436939,0.0008095219,0.3451454,0.0009576167,0.001937597,0.0006877095,0.00336115,0.0003935731,0.003013524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05051613,"threshold_uncertainty_score":0.267158,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081140142","doi":"10.1016/j.jmva.2008.04.014","title":"Order restricted inference for sequential k-out-of-n systems","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":61,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Estimator; Inference; Sequential estimation; Extension (predicate logic); Maximum likelihood; Order statistic; Statistics; Sequential analysis; Applied mathematics; Order (exchange); Sample (material); Computer science; Artificial intelligence","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Eric Beutner","is_ca":false},{"name":"Udo Kamps","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1376170145518623,"gpt":0.4153484063940003,"spread":0.277731391842138,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01620696,0.001703369,0.006733693,0.001962662,0.001626471,0.00344708,0.004707968,0.003182201,0.005514755],"category_scores_gemma":[0.06954378,0.002748305,0.00307373,0.00181505,0.004059519,0.006432505,0.003420335,0.004344481,0.0007860921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001931003,"about_ca_system_score_gemma":0.003201381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059743,"about_ca_topic_score_gemma":0.01405381,"domain_scores_codex":[0.9910787,0.003460987,0.0007549164,0.002764514,0.0009951212,0.0009457212],"domain_scores_gemma":[0.8711157,0.1125458,0.004779628,0.007244973,0.003147521,0.001166404],"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":[0.001133539,0.0003763554,0.008940103,0.0005410602,0.0008756076,0.0005785818,0.0005402857,0.8078398,0.001940103,0.1340792,0.001517734,0.04163749],"study_design_scores_gemma":[0.00005219584,0.00004697377,0.0006787181,0.00001289529,0.00005578789,0.00004947263,0.00002816436,0.9330597,0.0004151309,0.06536083,0.0002112575,0.00002893818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04144305,0.0002972684,0.9562857,0.00033705,0.00006711762,0.00007838064,0.0002564109,0.0003131923,0.0009218711],"genre_scores_gemma":[0.8648925,0.000638114,0.126196,0.0003277409,0.0003469279,0.0003124836,0.001235157,0.0002137471,0.005837264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01620696,"threshold_uncertainty_score":0.08571166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999984069","doi":"10.1016/j.jmva.2012.10.011","title":"Tests for multivariate analysis of variance in high dimension under non-normality","year":2012,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":60,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Multivariate analysis of variance; Dimension (graph theory); Statistics; Multivariate normal distribution; Normality; Multivariate statistics; Covariance; Invariant (physics); Covariance matrix; Null (SQL); Normality test; Combinatorics; Statistical hypothesis testing","authors":[{"name":"Muni S. Srivastava","is_ca":true},{"name":"Tatsuya Kubokawa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1064996162846293,"gpt":0.4476336697347761,"spread":0.3411340534501468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04894125,0.002117915,0.004006168,0.003967158,0.001867795,0.004415254,0.004100453,0.002075854,0.006892372],"category_scores_gemma":[0.3397241,0.0008848773,0.003270919,0.004736715,0.008732076,0.009733888,0.005133941,0.005730214,0.0006939915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257318,"about_ca_system_score_gemma":0.004856696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008689769,"about_ca_topic_score_gemma":0.0004947928,"domain_scores_codex":[0.9177464,0.05449532,0.005198725,0.008237179,0.01239135,0.001931023],"domain_scores_gemma":[0.4037993,0.5420233,0.01513458,0.02723197,0.009243589,0.002567317],"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":[0.004441881,0.0006101023,0.06625836,0.001678317,0.005114422,0.001687783,0.00272973,0.04140641,0.005346223,0.6263741,0.005744631,0.2386081],"study_design_scores_gemma":[0.0004853465,0.001726492,0.03017075,0.0003011963,0.0005168606,0.0009804156,0.001056457,0.2510246,0.003613503,0.7060273,0.00388029,0.0002167389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.082489,0.0005149257,0.9125896,0.0005389256,0.0002178784,0.0002143813,0.0006882899,0.0006833264,0.002063636],"genre_scores_gemma":[0.7966157,0.0004443675,0.197095,0.0002991247,0.0005087767,0.001612214,0.001646164,0.000337646,0.001441008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04894125,"threshold_uncertainty_score":0.2588292,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979379786","doi":"10.1016/j.jmva.2012.10.017","title":"Generalized multivariate Birnbaum–Saunders distributions and related inferential issues","year":2012,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Multivariate stable distribution; Normal-Wishart distribution; Multivariate statistics; Matrix normal distribution; Matrix t-distribution; Statistics; Multivariate normal distribution; Univariate; Bivariate analysis; Kernel (algebra); Applied mathematics; Combinatorics","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Ahad Jamalizadeh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06184144200735116,"gpt":0.3943994975450021,"spread":0.332558055537651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01701841,0.0008475435,0.001884594,0.003561263,0.001425596,0.003102061,0.002323453,0.00186042,0.005889443],"category_scores_gemma":[0.08904379,0.0006527437,0.001871314,0.003468501,0.007995454,0.008446873,0.002848728,0.003901848,0.0004165857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166099,"about_ca_system_score_gemma":0.001464583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838867,"about_ca_topic_score_gemma":0.00164038,"domain_scores_codex":[0.9922169,0.005404556,0.0003158673,0.00078547,0.001051254,0.0002259734],"domain_scores_gemma":[0.9068723,0.080993,0.003003452,0.005215704,0.003096877,0.0008186678],"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":[0.00001764174,0.00001956562,0.0006158093,0.00004694819,0.00003672152,0.00007502994,0.0003599081,0.002412952,0.00009450589,0.9818459,0.0006144658,0.01386048],"study_design_scores_gemma":[0.000004764218,0.000007788716,0.0003477869,0.0000147807,0.000009797501,0.00005506894,0.0000627535,0.009395354,0.00004514636,0.9892495,0.0007989322,0.000008339689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05461364,0.00296903,0.9293382,0.003843779,0.0001538059,0.00005837654,0.0001500428,0.0001251093,0.008748038],"genre_scores_gemma":[0.7227141,0.005020485,0.2587261,0.001588846,0.001119238,0.0004292305,0.0004109871,0.0001770612,0.009813895],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01701841,"threshold_uncertainty_score":0.09000301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053879002","doi":"10.1006/jmva.2000.1968","title":"Optimal Spherical Deconvolution","year":2002,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Mathematics; Deconvolution; Smoothness; Convolution (computer science); Euclidean geometry; Mathematical analysis; Blind deconvolution; Rotation (mathematics); Applied mathematics; Geometry; Algorithm","authors":[{"name":"Peter T. Kim","is_ca":true},{"name":"Ja‐Yong Koo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05127910675315026,"gpt":0.3247130044820929,"spread":0.2734338977289427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225299,0.001079117,0.001161598,0.0008490401,0.0005178828,0.001618984,0.0005992514,0.001551886,0.005109486],"category_scores_gemma":[0.004458026,0.0006312738,0.0009314434,0.0007616418,0.001438295,0.002157697,0.002756281,0.001421279,0.002049488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006985632,"about_ca_system_score_gemma":0.001276205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001089032,"about_ca_topic_score_gemma":0.001221298,"domain_scores_codex":[0.9992681,0.0002367821,0.0000423939,0.0001587191,0.0002349237,0.00005906666],"domain_scores_gemma":[0.999088,0.0003069083,0.00008776291,0.0002270846,0.0002207944,0.00006932052],"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":[0.0005151392,0.00006905829,0.0005349805,0.0002499727,0.0001372618,0.0001085957,0.0001214649,0.1344489,0.02605997,0.5727543,0.01638811,0.2486123],"study_design_scores_gemma":[0.00003627912,0.00004159215,0.0003256084,0.0000298538,0.00005388094,0.0002916618,0.00004202387,0.7296144,0.01614955,0.2414832,0.01188857,0.00004342034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007090558,0.0004846057,0.9841666,0.0005353153,0.000156016,0.00001371212,0.00007683344,0.0003059465,0.007170419],"genre_scores_gemma":[0.298489,0.00200611,0.6733893,0.0005330293,0.0004412315,0.00008857157,0.0005627206,0.0006143062,0.02387576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005109486,"threshold_uncertainty_score":0.01709294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011864925","doi":"10.1016/j.jmva.2005.03.006","title":"Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data","year":2005,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Smoothness; Moment (physics); Rate of convergence; Independent and identically distributed random variables; Bounded function; k-nearest neighbors algorithm; Convergence (economics); Regression; Applied mathematics; Function (biology); Regression function; Regression analysis; Statistics; Mathematical analysis; Random variable","authors":[{"name":"Michael Köhler","is_ca":false},{"name":"Adam Krzyżak","is_ca":true},{"name":"Harro Walk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1694655474780536,"gpt":0.4532723132370932,"spread":0.2838067657590395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1061015,0.002574227,0.003708957,0.006488534,0.003054314,0.006360336,0.009333678,0.005285697,0.006681809],"category_scores_gemma":[0.5093139,0.002598504,0.003491461,0.003925242,0.009995666,0.01637419,0.0127814,0.01164569,0.001664323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003791931,"about_ca_system_score_gemma":0.002584648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004028684,"about_ca_topic_score_gemma":0.002664433,"domain_scores_codex":[0.9690039,0.01991884,0.001983011,0.003102523,0.004663519,0.001328287],"domain_scores_gemma":[0.3354395,0.6049594,0.01347215,0.02252668,0.01936621,0.004235983],"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":[0.0008453432,0.0001259798,0.01226061,0.00114349,0.0003865047,0.0004446738,0.002701287,0.1447621,0.002461661,0.7509807,0.006070102,0.07781754],"study_design_scores_gemma":[0.00007782291,0.0001457676,0.002702987,0.0004563863,0.0001548875,0.0006215451,0.0004598734,0.5674577,0.002165156,0.4227559,0.002860691,0.0001412525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03438232,0.002981127,0.9562986,0.001795273,0.000216483,0.0002061773,0.0003197658,0.0005116298,0.003288621],"genre_scores_gemma":[0.4064337,0.005919477,0.5647576,0.001484271,0.0007810075,0.002197899,0.002466077,0.002707907,0.01325197],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1061015,"threshold_uncertainty_score":0.5611249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997654822","doi":"10.1016/s0047-259x(03)00020-4","title":"Factor models for multivariate count data","year":2003,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Multivariate statistics; Mathematics; Count data; Poisson distribution; Exponential family; Factor analysis; Statistics; Monte Carlo method; Factor (programming language); Class (philosophy); Multivariate analysis; Applied mathematics; Algorithm; Computer science; Artificial intelligence","authors":[{"name":"Michel Wedel","is_ca":false},{"name":"Ulf Böckenholt","is_ca":true},{"name":"Wagner A. Kamakura","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2113705824600418,"gpt":0.4385373629608787,"spread":0.2271667805008369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02606457,0.002949573,0.004306518,0.003705107,0.001495546,0.004582815,0.005699702,0.003988524,0.008618127],"category_scores_gemma":[0.1158467,0.002244001,0.00517536,0.006359043,0.004624182,0.008367751,0.00339482,0.006165155,0.002266129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008901,"about_ca_system_score_gemma":0.003164314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007644991,"about_ca_topic_score_gemma":0.007117616,"domain_scores_codex":[0.9834206,0.01128425,0.0009886832,0.002211079,0.001406304,0.0006891788],"domain_scores_gemma":[0.8867336,0.09214684,0.006239294,0.01032592,0.003518095,0.001036323],"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":[0.0001553297,0.00007531527,0.002514258,0.0003644112,0.0005326952,0.0001678782,0.0004712375,0.06822126,0.0005215178,0.8547095,0.004641615,0.06762501],"study_design_scores_gemma":[0.00003794977,0.00003601622,0.0004703661,0.00005616897,0.00009301892,0.000127525,0.00004207175,0.1847151,0.0001072559,0.8116855,0.002585354,0.00004361405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001999798,0.0005577122,0.9965084,0.0002485325,0.00005853484,0.00003125919,0.0001404332,0.0001802354,0.0002750831],"genre_scores_gemma":[0.1909398,0.004901303,0.7913966,0.0004678851,0.0009882643,0.001449553,0.002268969,0.0005233792,0.007064195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02606457,"threshold_uncertainty_score":0.1378443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}