{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":46,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":46,"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":"ed60203a6205","filters":{"venue":"Lobachevskii Journal of Mathematics"}},"results":[{"id":"W2971783902","doi":"10.1134/s1995080219080110","title":"Interval Estimation for the Shape and Scale Parameters of the Birnbaum—Saunders Distribution","year":2019,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Confidence interval; Percentile; Coverage probability; Statistics; CDF-based nonparametric confidence interval; Robust confidence intervals; Monte Carlo method; Confidence distribution; Scale (ratio); Scale parameter; Reliability (semiconductor); Sample size determination","authors":[{"name":"N. Jantakoon","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05254392470286964,"gpt":0.3328979019676273,"spread":0.2803539772647577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007514687,0.0001234235,0.0002837268,0.00002655468,0.0001143074,0.00004486126,0.0002969656,0.00006376852,0.00005018598],"category_scores_gemma":[0.001582047,0.00006940233,0.0001786162,0.0001772105,0.0001877381,0.0001031155,0.00005216165,0.0001570703,0.000005509846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005950728,"about_ca_system_score_gemma":0.00004910508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001516548,"about_ca_topic_score_gemma":0.000001966219,"domain_scores_codex":[0.9986404,0.00004538971,0.0007544972,0.00008830879,0.0003364187,0.0001350015],"domain_scores_gemma":[0.9962792,0.002206068,0.0008769896,0.0002834893,0.000298147,0.00005608835],"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":[0.00005583116,0.0005766884,0.0007367294,0.001086358,0.0002307715,2.774534e-7,0.001478594,0.0006925856,0.0007583841,0.9730592,0.006969755,0.01435477],"study_design_scores_gemma":[0.001318404,0.0001781124,0.005317932,0.0004690505,0.000520301,0.0001229426,0.002546841,0.4313378,0.002716882,0.5548625,0.0004204579,0.0001887637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2480065,0.00004384184,0.749373,0.001679754,0.0001224396,0.0005322083,0.0001493823,0.000009467525,0.00008335953],"genre_scores_gemma":[0.9224184,0.00001353935,0.07738922,0.0000538045,0.00001874272,0.00001465037,0.000009924179,0.00001247313,0.00006924033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6744119,"threshold_uncertainty_score":0.2830145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401809883","doi":"10.1134/s1995080224601620","title":"On a Transmuted Distribution Based on Log-Logistic and Ailamujia Hazard Functions with Application to Lifetime Data","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Log-logistic distribution; Statistics; Hazard; Distribution (mathematics); Logistic regression; Applied mathematics; Logistic distribution; Calculus (dental); Exponential distribution; Distribution fitting; Mathematical analysis; Medicine","authors":[{"name":"Adil H. Khan","is_ca":false},{"name":"Aafaq A. Rather","is_ca":false},{"name":"Tariq R. Jan","is_ca":false},{"name":"Khaysa Osmanli","is_ca":true},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07041011079819433,"gpt":0.356595005362067,"spread":0.2861848945638727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006944619,0.0002334692,0.000340429,0.0001492824,0.0001432313,0.0001575033,0.0003313825,0.00009316551,0.0001002958],"category_scores_gemma":[0.0012023,0.000171278,0.0000627557,0.0005394515,0.0001094445,0.0001364034,0.00003347536,0.0003219338,0.0001448722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334513,"about_ca_system_score_gemma":0.000136671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001318937,"about_ca_topic_score_gemma":0.000005002566,"domain_scores_codex":[0.9981751,0.0000556393,0.0006856638,0.0003064406,0.000569339,0.0002077521],"domain_scores_gemma":[0.9969777,0.001647491,0.000242468,0.0006337677,0.0002466376,0.0002519284],"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":[0.0001125865,0.0009605106,0.00001447846,0.0004963423,0.0001055959,0.00002156409,0.0001608389,0.001480347,0.0001435388,0.9551808,0.03583776,0.005485667],"study_design_scores_gemma":[0.001349094,0.001309986,0.0008862138,0.001795691,0.0008723115,0.0003070402,0.0003099577,0.7642223,0.0002158266,0.2182528,0.009930396,0.000548385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00396307,0.00003130202,0.9893519,0.003774551,0.00007476463,0.0004689434,0.001569796,0.0001030311,0.0006626919],"genre_scores_gemma":[0.9216418,0.000007577235,0.07728484,0.0002493261,0.000093512,0.00004466621,0.0005000128,0.00003784775,0.0001404484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9176787,"threshold_uncertainty_score":0.6984515,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157910168","doi":"10.1134/s1995080212010052","title":"On negatively associated random variables","year":2012,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Mathematical proof; Random variable; Construct (python library); Chebyshev filter; Sum of normally distributed random variables; Algebra of random variables; Random element; Discrete mathematics; Statistics; Multivariate random variable; Mathematical analysis; Computer science","authors":[{"name":"Michael B. Gerasimov","is_ca":false},{"name":"V. M. Kruglov","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.138567543612282,"gpt":0.3722143892037407,"spread":0.2336468455914587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01440722,0.0001773024,0.0006711648,0.0002156015,0.0001354969,0.0001494018,0.000837235,0.0001454898,0.0003758956],"category_scores_gemma":[0.02365354,0.0001029228,0.0003191475,0.0004926826,0.0001077283,0.0006916288,0.00008204437,0.0003749651,0.0002495166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073051,"about_ca_system_score_gemma":0.0001069568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002002227,"about_ca_topic_score_gemma":0.000002064947,"domain_scores_codex":[0.9957093,0.0004182178,0.001467627,0.000126411,0.001916042,0.0003623761],"domain_scores_gemma":[0.9908611,0.006237943,0.001573447,0.0003898478,0.0006776061,0.0002600877],"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":[0.0007976352,0.01310503,0.01288322,0.000123187,0.001100348,0.00005681379,0.04292737,0.01025819,0.001222118,0.8165001,0.07941212,0.02161382],"study_design_scores_gemma":[0.001817294,0.0001935388,0.001217644,0.000155152,0.00007722896,0.0001000571,0.001032521,0.002690474,0.0006240977,0.9905788,0.00134255,0.000170698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7276289,0.0006029001,0.2528196,0.0008285003,0.001023999,0.0002372253,0.00001864029,0.00002682572,0.0168134],"genre_scores_gemma":[0.9809936,0.00002862626,0.01799363,0.0001829569,0.0001723986,0.00000130747,4.134463e-7,0.0000127563,0.000614281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2533647,"threshold_uncertainty_score":0.9845706,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2203127082","doi":"10.1134/s1995080215020109","title":"Pricing guaranteed minimum death benefit contracts under the phase-type law of mortality","year":2015,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Type (biology); Monte Carlo method; Random variable; Variable (mathematics); Black–Scholes model; Actuarial science; Distribution (mathematics); Mathematical economics; Econometrics; Applied mathematics; Statistics; Economics; Mathematical analysis","authors":[{"name":"Bangwon Ko","is_ca":false},{"name":"Taehan Bae","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1047099476397584,"gpt":0.3777022210930024,"spread":0.272992273453244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005557474,0.0002023103,0.0005662842,0.0001054996,0.000251509,0.0001116554,0.0007985519,0.0001193795,0.00003748013],"category_scores_gemma":[0.0004926012,0.0001408723,0.0002695725,0.0004485545,0.0004673781,0.0003070302,0.00006972539,0.0002984058,0.00001097349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313255,"about_ca_system_score_gemma":0.0002228949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006347329,"about_ca_topic_score_gemma":0.0008059096,"domain_scores_codex":[0.9965745,0.0002199392,0.001137141,0.0001363651,0.001532615,0.0003993981],"domain_scores_gemma":[0.996759,0.000432984,0.001455378,0.0004144274,0.0007379582,0.0002002393],"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":[0.0001017813,0.002032127,0.01240515,0.0001890129,0.0009572132,0.00006151506,0.03253761,0.0007193873,0.0002013089,0.9485831,0.001284324,0.000927502],"study_design_scores_gemma":[0.01043005,0.001508351,0.02340133,0.001182147,0.002766858,0.0001687016,0.1640941,0.001746703,0.00193497,0.7504839,0.04100796,0.001274932],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428364,0.0007678122,0.002102007,0.0004570649,0.0007241712,0.0003981619,0.000007773919,0.0000244894,0.05268213],"genre_scores_gemma":[0.9961029,0.0002230181,0.002956639,0.0003179142,0.0002618291,0.000001887386,9.743849e-7,0.00001961616,0.0001152544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1980992,"threshold_uncertainty_score":0.5744604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3042311615","doi":"10.1134/s1995080220030038","title":"The Topp–Leone Discrete Laplace Distribution and Its Applications","year":2020,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Quantile function; Laplace distribution; Laplace transform; Scale parameter; Applied mathematics; Statistics; Mathematical analysis; Cumulative distribution function; Probability density function","authors":[{"name":"Thanasate Akkanphudit","is_ca":false},{"name":"Winai Bodhisuwan","is_ca":false},{"name":"Mena Lao","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06107180968122267,"gpt":0.3428770728221685,"spread":0.2818052631409458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000378862,0.0001467061,0.0002651984,0.00001520299,0.0003101874,0.0001046343,0.0002885469,0.00006397507,0.00004638461],"category_scores_gemma":[0.002603417,0.00009946777,0.0000911118,0.0002503799,0.0001077818,0.0001225599,0.00006411575,0.0002487278,0.00004484703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004447832,"about_ca_system_score_gemma":0.00004982748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.28255e-7,"about_ca_topic_score_gemma":7.809204e-7,"domain_scores_codex":[0.9985121,0.00005217862,0.0007658894,0.0001159997,0.0003704514,0.0001833775],"domain_scores_gemma":[0.9971454,0.001466875,0.0005996687,0.0001803193,0.0003534913,0.0002542524],"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":[0.0000101117,0.00009101229,0.000009442198,0.0001303751,0.00004201495,0.000001704048,0.0002865725,0.000007575804,0.0001723612,0.9909579,0.006091414,0.002199571],"study_design_scores_gemma":[0.001642263,0.0002577209,0.0005139942,0.0001904153,0.0005356427,0.0003810398,0.003148543,0.04463465,0.002029642,0.8414809,0.1046632,0.0005220316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004290908,0.0004385087,0.9821427,0.01167296,0.00003127256,0.0003797815,0.0002206684,0.00004144445,0.0007817696],"genre_scores_gemma":[0.9574227,0.0005297093,0.04114467,0.0002660041,0.0002661819,0.00006196611,0.00004236037,0.0000299629,0.0002364918],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9531317,"threshold_uncertainty_score":0.4056178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411339463","doi":"10.1134/s1995080224602637","title":"Explicit Ehrenpreis–Palamodov–Fokas Representations for the Sobolev–Barenblatt Model and the Rubinshtein–Aifantis System on Semi-Strips and Quarter-Planes","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Differential Equations and Boundary Problems","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mathematics; Quarter (Canadian coin); Sobolev space; Algebra over a field; Pure mathematics; Calculus (dental)","authors":[{"name":"Andreas Chatziafratis","is_ca":false},{"name":"Elias C. Aifantis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04819442784396875,"gpt":0.309473102052902,"spread":0.2612786742089332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001708481,0.0002708355,0.0006140764,0.0001518403,0.0006965363,0.000408129,0.0004108996,0.0001149875,0.000007562486],"category_scores_gemma":[0.0005542466,0.0001444076,0.0002158312,0.0001828135,0.00022688,0.000166511,0.00009348763,0.0003555554,0.000001947443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004844952,"about_ca_system_score_gemma":0.00010429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001718321,"about_ca_topic_score_gemma":0.00004046715,"domain_scores_codex":[0.9979237,0.0001355519,0.001079045,0.0001947757,0.0004161261,0.0002507969],"domain_scores_gemma":[0.9940616,0.004325907,0.0007624179,0.0005060374,0.0002667977,0.00007716725],"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":[0.0001133484,0.0002433876,0.00005655002,0.001217001,0.0005185741,0.000004400458,0.005836693,0.0009828518,0.0001518068,0.9848474,0.004485818,0.001542186],"study_design_scores_gemma":[0.0044072,0.0001900269,0.00005533654,0.001606208,0.001352473,0.0003639695,0.02332634,0.3246226,0.0002852782,0.6430911,0.0004334726,0.0002660383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2897839,0.001510155,0.6967378,0.004834478,0.0004586598,0.001909555,0.00008983853,0.0000695977,0.00460597],"genre_scores_gemma":[0.980935,0.0002738591,0.01738547,0.0001133793,0.0001222272,0.00007622286,0.00000399474,0.00003045529,0.001059357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6911511,"threshold_uncertainty_score":0.5888773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408881420","doi":"10.1134/s1995080224607550","title":"Exploring the Fréchet–Power Rayleigh Distribution with Statistical Properties and Medical Data Insights","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Rayleigh distribution; Distribution (mathematics); Power (physics); Statistics; Calculus (dental); Algebra over a field; Statistical physics; Mathematical analysis; Pure mathematics; Probability density function; Thermodynamics; Medicine","authors":[{"name":"Aijaz Ahmad","is_ca":false},{"name":"Aafaq A. Rather","is_ca":false},{"name":"Raymond Benjamin Afful","is_ca":true},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2828519614656757,"gpt":0.3562556001294805,"spread":0.07340363866380484,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009934175,0.0001837749,0.000309176,0.00004621542,0.0001731734,0.0002181955,0.0004751283,0.00006066802,0.000164451],"category_scores_gemma":[0.002977692,0.00009375998,0.00003901243,0.0002533055,0.0003525901,0.0004436909,0.0001534811,0.0004630804,0.00002626409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005907065,"about_ca_system_score_gemma":0.0001942951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001976974,"about_ca_topic_score_gemma":0.000004767238,"domain_scores_codex":[0.9978744,0.00008487693,0.0007452815,0.0001896397,0.0009122571,0.0001934909],"domain_scores_gemma":[0.9971407,0.001781495,0.0002003925,0.0004407024,0.0002248709,0.0002118055],"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":[0.00001482944,0.0002114859,0.000008988244,0.0003543447,0.0001262324,0.00006161167,0.001031313,0.000002763218,0.00002853344,0.9875023,0.007207756,0.003449844],"study_design_scores_gemma":[0.00196509,0.000655817,0.002491564,0.005724421,0.001604004,0.006151926,0.008684958,0.1551099,0.001057933,0.7678204,0.04766726,0.001066708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07251391,0.0005498356,0.9233373,0.002565952,0.0001306116,0.0002141406,0.0002787199,0.00006074103,0.0003488407],"genre_scores_gemma":[0.9661311,0.0001935378,0.03334263,0.00005275058,0.0001205311,0.00002130672,0.00006667693,0.00002630515,0.00004516442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8936172,"threshold_uncertainty_score":0.3823421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043154097","doi":"10.1134/s199508022003004x","title":"The Length-Biased Weighted Lindley Distribution with Applications","year":2020,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Estimator; Moment (physics); Distribution (mathematics); Moment-generating function; Applied mathematics; Maximum likelihood; Function (biology); Characteristic function (probability theory); Distribution function; Method of moments (probability theory); Estimation; Statistics; Probability density function; Mathematical analysis","authors":[{"name":"Yupapin Atikankul","is_ca":false},{"name":"Ampai Thongteeraparp","is_ca":false},{"name":"Winai Bodhisuwan","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05778654822536473,"gpt":0.3199085136677197,"spread":0.2621219654423549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004769447,0.0001881069,0.0003240073,0.00002239307,0.0003574793,0.0001159222,0.0004439004,0.00007631222,0.00007995968],"category_scores_gemma":[0.001193144,0.0001139169,0.0001267136,0.0004708225,0.0001884265,0.0001179296,0.0000368983,0.000340887,0.00007637709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007672948,"about_ca_system_score_gemma":0.0001268027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.719291e-7,"about_ca_topic_score_gemma":0.000001353878,"domain_scores_codex":[0.9980713,0.0000624963,0.0009295135,0.0001344119,0.0005707382,0.0002315176],"domain_scores_gemma":[0.9963254,0.001524194,0.0009001497,0.000305134,0.000665264,0.000279839],"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":[0.00003226665,0.0003137708,0.00002621807,0.0001053758,0.00009806889,0.000004560992,0.000352714,0.00001666447,0.0000800558,0.9854128,0.01040674,0.003150749],"study_design_scores_gemma":[0.003710269,0.0007329086,0.0005999506,0.0003399643,0.001021102,0.0005181799,0.005161838,0.04073735,0.003301104,0.7994773,0.1435842,0.0008157753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004028403,0.00009184349,0.9871064,0.007075456,0.00002655598,0.0004405673,0.0001746648,0.00006283787,0.0009932384],"genre_scores_gemma":[0.7822993,0.0001030456,0.2164947,0.0003564871,0.0003608884,0.0001028225,0.00009798694,0.00005008754,0.0001346678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.778271,"threshold_uncertainty_score":0.4645396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058843651","doi":"10.1134/s1995080213030025","title":"Pricing maturity guarantee under a refracted Brownian motion","year":2013,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Maturity (psychological); Geometric Brownian motion; Investment (military); Brownian motion; Mathematics; Term (time); State (computer science); Motion (physics); Value (mathematics); Mathematical economics; Econometrics; Actuarial science; Economics; Computer science; Statistics; Diffusion process; Algorithm; Service (business); Law; Economy","authors":[{"name":"Taehan Bae","is_ca":true},{"name":"Bangwon Ko","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02713967801656313,"gpt":0.2235801005331151,"spread":0.1964404225165519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004277606,0.0001367339,0.0004156022,0.0001654386,0.00008930025,0.00009616433,0.0002934889,0.0001124819,0.0001924867],"category_scores_gemma":[0.0003302333,0.0001301215,0.0001377176,0.0002904556,0.00004036309,0.0003528831,0.00003746437,0.0002564438,0.0004411519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009333307,"about_ca_system_score_gemma":0.00002633573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004612947,"about_ca_topic_score_gemma":0.000003188175,"domain_scores_codex":[0.9985274,0.000003608712,0.001037866,0.0001359985,0.00008081145,0.000214291],"domain_scores_gemma":[0.9982268,0.00009680388,0.001206625,0.0002374852,0.0001589985,0.00007326545],"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":[0.000004780759,0.0004306253,0.0003159768,0.0001266112,0.00006809043,0.000002636,0.0009867185,0.00006331287,0.0002058373,0.9938226,0.0004815894,0.003491228],"study_design_scores_gemma":[0.0004051877,0.00006213579,0.005941399,0.00007829746,0.00001893365,0.0001216154,0.0003861106,0.003568873,0.00009474075,0.9878486,0.001300875,0.0001731673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1160643,0.0007144317,0.8780319,0.0008890459,0.0001657628,0.0001891144,0.00001127775,0.00001855394,0.003915594],"genre_scores_gemma":[0.9439233,0.0001332956,0.05537704,0.0001937512,0.0001937787,0.00001234168,0.000002353096,0.00002357927,0.0001405879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8278589,"threshold_uncertainty_score":0.5670263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405801678","doi":"10.1134/s1995080224604958","title":"Efficient Estimation Strategies for Estimating the Shape Parameter of the Birnbaum–Saunders Distribution Using Shrinkage Preliminary Test Type Estimators","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Mathematics; Shrinkage; Estimator; Shrinkage estimator; Estimation; Type (biology); Statistics; Applied mathematics; Test (biology); Distribution (mathematics); Mathematical analysis; Efficient estimator; Minimum-variance unbiased estimator","authors":[{"name":"Waqas Makhdoom","is_ca":false},{"name":"Muhammad Kashif Ali Shah","is_ca":false},{"name":"Nighat Zahra","is_ca":false},{"name":"S. Ejaz Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07731924222353691,"gpt":0.3685344016049625,"spread":0.2912151593814256,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136117,0.000240695,0.0003744958,0.00006994328,0.0003000528,0.0002090502,0.0004412125,0.0001095923,0.00004481664],"category_scores_gemma":[0.006406462,0.0001419491,0.0002793041,0.0006103847,0.0002922897,0.0001457242,0.00007654879,0.0003103067,0.000006540445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177557,"about_ca_system_score_gemma":0.0003399558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002256262,"about_ca_topic_score_gemma":6.144366e-7,"domain_scores_codex":[0.9976746,0.00007385479,0.001255959,0.0001673405,0.0005750835,0.0002531711],"domain_scores_gemma":[0.9928032,0.00529864,0.0009052517,0.0003799887,0.0005327808,0.00008010302],"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":[0.0000367663,0.000858359,0.00004980827,0.002956351,0.000230926,0.000005116926,0.00210393,0.1393327,0.001301682,0.8450319,0.003228793,0.004863676],"study_design_scores_gemma":[0.0001887955,0.0001061278,0.0001404359,0.0007547112,0.0003855112,0.0001473242,0.0008814512,0.781451,0.000503889,0.2152952,0.00002967597,0.0001158829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1366704,0.0001264196,0.861376,0.0005550937,0.0003419854,0.0005991951,0.0002235029,0.00004579718,0.00006156266],"genre_scores_gemma":[0.6886255,0.000001758614,0.3112274,0.000016889,0.00005970456,0.0000153986,0.00001472914,0.00002491939,0.0000137067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6421183,"threshold_uncertainty_score":0.7669597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007203545","doi":"10.1134/s1995080212030158","title":"Few remarks on the geometry of the uncentered coefficient of determination","year":2012,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Geometry; Calculus (dental); Algebra over a field; Pure mathematics","authors":[{"name":"Umberto Triacca","is_ca":true},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06404116727728586,"gpt":0.3517907299601111,"spread":0.2877495626828253,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002496474,0.0001614774,0.0004167354,0.0001693379,0.00008433172,0.00001629044,0.0006959515,0.00008937843,0.0001276599],"category_scores_gemma":[0.004672542,0.00008438339,0.0002455125,0.0005637336,0.0001979819,0.0001464318,0.0001460852,0.0003766541,0.000004746057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204851,"about_ca_system_score_gemma":0.00007475759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.915289e-7,"about_ca_topic_score_gemma":5.974768e-7,"domain_scores_codex":[0.9971024,0.0002122342,0.001110755,0.00007291996,0.001233483,0.0002681423],"domain_scores_gemma":[0.9948147,0.001908992,0.001921436,0.0005647328,0.0007032813,0.00008686868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006098978,0.02726864,0.007605391,0.008694325,0.001843062,0.00002781743,0.05233308,0.02363619,0.01509616,0.7894728,0.0200163,0.05339631],"study_design_scores_gemma":[0.009715605,0.002580428,0.006070981,0.01266814,0.001624016,0.001821871,0.03466575,0.1709474,0.4678382,0.2867064,0.003540315,0.001820876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.496621,0.0005794053,0.495694,0.001101196,0.0006750715,0.0009944027,0.00003215989,0.00001805497,0.004284609],"genre_scores_gemma":[0.8663815,0.00008363372,0.13302,0.00004911824,0.00009715604,0.000003550164,6.07018e-7,0.00003488798,0.0003294676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027664,"threshold_uncertainty_score":0.5593807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2588902133","doi":"10.1134/s199508021701019x","title":"Combining reliability functions of a Weibull distribution","year":2017,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"Thammasat University","keywords":"Mathematics; Estimator; Weibull distribution; Statistics; Applied mathematics; Monte Carlo method; Pooling; Mean squared error; Sample size determination; Shrinkage estimator; Efficient estimator; Minimum-variance unbiased estimator; Computer science","authors":[{"name":"Muhammad Kashif Ali Shah","is_ca":false},{"name":"Supranee Lisawadi","is_ca":false},{"name":"S. Ejaz Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07820466112712139,"gpt":0.371453543587549,"spread":0.2932488824604276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001087421,0.0001442007,0.0004544168,0.0000434121,0.000339339,0.00007521566,0.0004728627,0.00009391748,0.0001855843],"category_scores_gemma":[0.009060453,0.0001211085,0.0002047558,0.00009703492,0.0002814779,0.0002232272,0.00007951512,0.0002444709,0.00002744362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008821631,"about_ca_system_score_gemma":0.00009411047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004626042,"about_ca_topic_score_gemma":0.000002044422,"domain_scores_codex":[0.9980655,0.00004832751,0.001155272,0.0001084977,0.0004514389,0.000170998],"domain_scores_gemma":[0.9953603,0.000805209,0.002150983,0.0007042554,0.0008397602,0.000139483],"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":[0.00001800535,0.001071264,0.0007328806,0.0003080629,0.00007176088,0.000003608421,0.0002707304,0.00002568224,0.0003145926,0.9873927,0.008581116,0.001209647],"study_design_scores_gemma":[0.001475673,0.000213017,0.0118247,0.000493746,0.0004088457,0.0001741503,0.00097817,0.00594683,0.002057679,0.9738258,0.002340802,0.0002605702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1140031,0.00002067664,0.8806749,0.0009611836,0.0001684503,0.0001757789,0.0003236879,0.00002396897,0.003648193],"genre_scores_gemma":[0.9332976,0.00001097538,0.06640623,0.0000100552,0.00005556656,0.000006167709,0.00002263585,0.00001256124,0.0001781735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8192945,"threshold_uncertainty_score":0.9992867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392823309","doi":"10.1134/s1995080223110264","title":"On the Normal Approximations to the Method of Moments Point Estimators of the Parameter and Mean of the Zero-Truncated Poisson Distribution","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics; Poisson distribution; Estimator; Zero (linguistics); Distribution (mathematics); Approximations of π; Mathematical analysis; Applied mathematics; Point (geometry); Zero-inflated model; Calculus (dental); Statistics; Poisson regression; Geometry","authors":[{"name":"Thuntida Ngamkham","is_ca":true},{"name":"Chom Panta","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05858403767190876,"gpt":0.3506290524144389,"spread":0.2920450147425301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001895295,0.0001640437,0.0003677499,0.00005767448,0.0002129625,0.00002671958,0.0006258488,0.00006788749,0.00003768421],"category_scores_gemma":[0.006065384,0.0000715603,0.0002143615,0.000909964,0.0002418456,0.00006037029,0.000170196,0.0002585789,0.000006696412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005559152,"about_ca_system_score_gemma":0.00006604175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005917033,"about_ca_topic_score_gemma":0.000003015546,"domain_scores_codex":[0.9975916,0.0002578422,0.0011324,0.0001017511,0.0007404507,0.0001760049],"domain_scores_gemma":[0.9940473,0.003456792,0.001379412,0.0005994163,0.0004469531,0.00007013019],"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":[0.0000175415,0.0003737706,0.0001228838,0.0002318394,0.0001363495,2.445296e-7,0.002606333,0.00102703,0.0009248204,0.9852535,0.00873783,0.0005678452],"study_design_scores_gemma":[0.0006636808,0.0001493997,0.0112544,0.0007207124,0.0005110481,0.00007221438,0.002762815,0.05740342,0.02558568,0.9005461,0.0001570924,0.0001733849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2936463,0.000009048013,0.697587,0.007172574,0.00009112884,0.0007349018,0.000535831,0.00001376947,0.0002094854],"genre_scores_gemma":[0.9708964,0.00000558003,0.02887489,0.00008569273,0.00001290945,0.00002485717,0.00001046626,0.00001538681,0.00007387089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.67725,"threshold_uncertainty_score":0.7261268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389576601","doi":"10.1134/s1995080223090391","title":"Asymptotic and Bootstrap Confidence Intervals for the Ratio of Modes of Log-normal Distributions","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Confidence interval; Statistics; CDF-based nonparametric confidence interval; Confidence distribution; Monte Carlo method; Robust confidence intervals; Tolerance interval; Distribution (mathematics); Measure (data warehouse); Coverage probability; Normal distribution; Mode (computer interface); Mathematical analysis; Data mining","authors":[{"name":"Lapasrada Singhasomboon","is_ca":false},{"name":"Chengyu Gao","is_ca":true},{"name":"Sasiwimon Sirisaiyard","is_ca":false},{"name":"Wararit Panichkitkosolkul","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1437041261526247,"gpt":0.3997121614743723,"spread":0.2560080353217477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000965472,0.0001164628,0.0003783589,0.00007271478,0.00009960395,0.00002560085,0.0002586397,0.0000586065,0.00005440391],"category_scores_gemma":[0.003300668,0.00008081027,0.0001510507,0.0002718285,0.0002853221,0.00009928107,0.00004757156,0.0001170691,0.000003778437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002184878,"about_ca_system_score_gemma":0.00007566541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001687835,"about_ca_topic_score_gemma":0.000001830466,"domain_scores_codex":[0.998369,0.00003770918,0.00106507,0.00007582921,0.0003011707,0.0001512332],"domain_scores_gemma":[0.9943612,0.003843027,0.00091579,0.0002204412,0.0005859953,0.00007350723],"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":[0.00001125752,0.000171797,0.0000457258,0.000494445,0.00009976247,6.339188e-7,0.0004395747,0.0001482975,0.001669153,0.993853,0.002521002,0.0005453801],"study_design_scores_gemma":[0.000803246,0.0001884886,0.00200218,0.0004235578,0.0004462164,0.00009516315,0.002436967,0.07928222,0.01327299,0.900772,0.0001379716,0.0001390063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03837182,0.00008972518,0.9596329,0.0008254397,0.0000414783,0.0003207684,0.0004967996,0.00001653951,0.0002045531],"genre_scores_gemma":[0.9616702,0.00007282356,0.0380958,0.00001236296,0.00002711765,0.00001919606,0.00001501891,0.00001042536,0.00007701188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9232984,"threshold_uncertainty_score":0.3951447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392804888","doi":"10.1134/s1995080223110355","title":"Probability Models and Some Mathematical Techniques on Parameter Estimation for Daily Rainfall Extremes: Application to Daily Rainfall in Southern Thailand","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Estimation; Climatology; Statistics; Econometrics; Geology","authors":[{"name":"Sujitta Suraphee","is_ca":false},{"name":"Tossapol Phoophiwfa","is_ca":false},{"name":"Witchaya Rattanametawee","is_ca":false},{"name":"Palakorn Seenoi","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Piyapatr Busababodhin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03500169108566745,"gpt":0.2778721393570395,"spread":0.2428704482713721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002165869,0.0001945083,0.0004319277,0.0001716183,0.00007475198,0.00004315075,0.0002723294,0.0001549123,0.00004610461],"category_scores_gemma":[0.0004385792,0.000150101,0.0001202686,0.0003288427,0.0001134964,0.0003043996,0.00009757086,0.0001853567,0.0001195276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132522,"about_ca_system_score_gemma":0.00001554621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001094385,"about_ca_topic_score_gemma":0.00003968888,"domain_scores_codex":[0.9982794,0.00006822035,0.0007596068,0.0002471738,0.0003698162,0.000275788],"domain_scores_gemma":[0.9986389,0.0005525236,0.0003416582,0.0003055785,0.0000298648,0.0001314464],"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":[0.001446978,0.0065154,0.02673377,0.002747118,0.0007486864,0.0001065565,0.1405303,0.6007857,0.01602545,0.06076208,0.01218271,0.1314152],"study_design_scores_gemma":[0.0003993885,0.0001915873,0.0002675915,0.00008984686,0.00006305737,0.0000233959,0.0004334374,0.3729704,0.0003237253,0.6249814,0.00009660088,0.0001595881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6665105,0.00001412611,0.3309202,0.001139448,0.00001395631,0.0007017454,0.00001020823,0.00004298022,0.0006468385],"genre_scores_gemma":[0.7667416,0.00002029313,0.2325072,0.0002718268,0.00004413628,0.0001211024,0.000008241098,0.00002849116,0.0002570894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5642193,"threshold_uncertainty_score":0.612094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045721162","doi":"10.1134/s1995080220040198","title":"Comparison of Accuracy Properties of Point Estimators for the Ratio of Binomial Proportions with the Inverse-Direct Sampling Scheme","year":2020,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina; University of Calgary","funders":"","keywords":"Estimator; Mathematics; Statistics; Mean squared error; Inverse; Sampling (signal processing); Ratio estimator; Binomial (polynomial); Monte Carlo method; Bernoulli's principle; Point (geometry); Negative binomial distribution; Sample size determination; Binomial distribution; Point estimation; Bias of an estimator; Poisson distribution; Minimum-variance unbiased estimator; Computer science","authors":[{"name":"Parichart Pattarapanitchai","is_ca":false},{"name":"Thuntida Ngamkham","is_ca":true},{"name":"Kamon Budsaba","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3031668976863275,"gpt":0.3836690435478621,"spread":0.08050214586153459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002174889,0.0001326398,0.000635302,0.00007466519,0.00009340808,0.00004246162,0.0007726224,0.00004662779,0.00003800193],"category_scores_gemma":[0.01156667,0.00005372399,0.0001990234,0.0004055423,0.000321384,0.000162398,0.00006637665,0.0001797059,0.000001471776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878568,"about_ca_system_score_gemma":0.0002926214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002259318,"about_ca_topic_score_gemma":0.000003141998,"domain_scores_codex":[0.9973578,0.00005892414,0.001501764,0.0001016058,0.0008535501,0.000126346],"domain_scores_gemma":[0.9933463,0.003090412,0.002236091,0.0003121443,0.0009502652,0.00006476366],"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":[0.0008451926,0.001329028,0.003323396,0.002364519,0.001214752,0.000003722113,0.06012932,0.8216542,0.05486462,0.01673948,0.03452346,0.003008315],"study_design_scores_gemma":[0.001428606,0.001356683,0.0003455762,0.001161692,0.0005989987,0.00007003608,0.03135419,0.8789302,0.07823876,0.00470963,0.001517589,0.0002880653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1362325,0.000410057,0.8607984,0.001785925,0.00008975051,0.0005575356,0.00002845224,0.000009357816,0.00008807462],"genre_scores_gemma":[0.8464053,0.00000633886,0.1534827,0.00001926267,0.00005028599,0.000006420663,3.990127e-7,0.00001094989,0.00001837123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7101727,"threshold_uncertainty_score":0.9967594,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7129226944","doi":"10.1134/s1995080225611166","title":"A Comparative Analysis of Dynamics of Population Change: Regional Features","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Regina; First Nations University of Canada","funders":"","keywords":"Population; Mortality rate; Biostatistics; Government (linguistics); Pandemic; Trend analysis; Birth rate; Trough (economics)","authors":[{"name":"I. A. Agayev","is_ca":false},{"name":"Kh. N. Khalafli","is_ca":false},{"name":"A. Sardarli","is_ca":true},{"name":"F. Sh. Tagiyeva","is_ca":false},{"name":"J. A. Rahimov","is_ca":false},{"name":"V.Ch. Jalilov","is_ca":false},{"name":"M. De Silva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0660566422926935,"gpt":0.3484862821669308,"spread":0.2824296398742374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004292116,0.00008987632,0.0004513323,0.0001403162,0.00002881742,0.000006092449,0.0002671327,0.00006662567,0.0002748039],"category_scores_gemma":[0.000096613,0.00005915274,0.0002092661,0.0006107528,0.0002352337,0.00008926279,0.000127212,0.000127614,0.000002503039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143234,"about_ca_system_score_gemma":0.000005266981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001033037,"about_ca_topic_score_gemma":0.0001389942,"domain_scores_codex":[0.9988088,0.00005437664,0.0005075368,0.00008041232,0.0004386047,0.0001102749],"domain_scores_gemma":[0.9990091,0.0002441639,0.0005363643,0.0001316963,0.00002929279,0.00004938775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003674449,0.003907985,0.8810673,0.0004965741,0.004145924,0.00001896408,0.006083064,0.009417595,0.02155979,0.04653822,0.002115218,0.02428192],"study_design_scores_gemma":[0.0003177318,0.0002861655,0.9729182,0.0001667054,0.0006079534,0.0000110165,0.001237707,0.01025393,0.002096951,0.01167705,0.0003142876,0.0001123872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946404,0.0002120222,0.001180568,0.0004952279,0.00002781918,0.0001139753,0.00001870138,0.000002437915,0.003308927],"genre_scores_gemma":[0.9926561,0.0001351727,0.006881101,0.00005444459,0.00001020556,0.000001679523,0.00001364093,0.000001759831,0.0002458993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09185082,"threshold_uncertainty_score":0.300891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392826817","doi":"10.1134/s1995080223110331","title":"Extended Acceptable Random Variables and Hoeffding Inequalities","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Inequality; Random variable; Algebra over a field; Calculus (dental); Pure mathematics; Mathematics education; Statistics; Mathematical analysis","authors":[{"name":"Elham Soufiani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1748336003427713,"gpt":0.3897920417915238,"spread":0.2149584414487525,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01298038,0.0001611214,0.000672375,0.0003852442,0.0001818921,0.0003885313,0.0006901529,0.0001048411,0.0001905255],"category_scores_gemma":[0.00808716,0.0001003843,0.0001813453,0.000767885,0.0001424879,0.0007189745,0.0002321334,0.000241625,0.00008115124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003173821,"about_ca_system_score_gemma":0.0001109677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005071217,"about_ca_topic_score_gemma":0.00000381368,"domain_scores_codex":[0.9964599,0.0002356758,0.001474962,0.0001870115,0.001341625,0.0003008206],"domain_scores_gemma":[0.9941453,0.004010667,0.0008333033,0.0003850904,0.0004617451,0.0001639002],"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":[0.0006888481,0.001718333,0.009625441,0.001289254,0.0009226112,0.0004219306,0.09666774,0.01531884,0.00530816,0.6570994,0.06379933,0.1471401],"study_design_scores_gemma":[0.001247847,0.00008720258,0.0006368302,0.0001396745,0.00004976117,0.0002301085,0.009893262,0.01663585,0.0005772838,0.9686545,0.001695789,0.0001518598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727998,0.0009241747,0.119399,0.001029555,0.0005230567,0.0002010174,0.00001544658,0.00005993962,0.005048001],"genre_scores_gemma":[0.9609351,0.0004266689,0.03620581,0.00008232393,0.0001740266,0.000003078635,7.636932e-7,0.00001769446,0.002154551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3115551,"threshold_uncertainty_score":0.9681669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411330244","doi":"10.1134/s199508022560493x","title":"Confidence Intervals for the Iwueze Distribution Parameter Using Bootstrap Techniques: Methodology and Application","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Confidence interval; CDF-based nonparametric confidence interval; Statistics; Confidence distribution; Robust confidence intervals; Distribution (mathematics); Applied mathematics; Calculus (dental); Mathematical analysis","authors":[{"name":"Wararit Panichkitkosolkul","is_ca":false},{"name":"Mohammad Mastak Al Amin","is_ca":true},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.24351865834816,"gpt":0.4791170545566539,"spread":0.235598396208494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001721745,0.000140801,0.000350173,0.00005916833,0.0001783017,0.00006423688,0.0002599425,0.0001085916,0.00001567319],"category_scores_gemma":[0.005229971,0.00009828232,0.0001225086,0.0002063268,0.0002115005,0.00009114311,0.00004682368,0.0001847333,0.000001269865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007135538,"about_ca_system_score_gemma":0.00007128709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003410656,"about_ca_topic_score_gemma":0.00000193103,"domain_scores_codex":[0.998579,0.00009721524,0.0008685335,0.0001248041,0.0001736145,0.0001568816],"domain_scores_gemma":[0.991618,0.00689641,0.0006825977,0.0002635905,0.0004828731,0.00005655716],"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":[0.00001450668,0.0001162644,0.00001606557,0.0002390535,0.00007747566,3.185285e-7,0.0001271129,0.00001053779,0.001048904,0.9897377,0.001516346,0.007095729],"study_design_scores_gemma":[0.0003010702,0.0000486091,0.0001558806,0.000202931,0.0003880391,0.0001027296,0.0005292923,0.04452339,0.005091579,0.94674,0.001817853,0.00009864864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002437653,0.0001670851,0.9949865,0.001451135,0.00006446863,0.0006428148,0.0001075507,0.00002839338,0.0001144496],"genre_scores_gemma":[0.3202186,0.00005478863,0.679324,0.0001801839,0.00005163308,0.00008412574,0.00001315475,0.00001187944,0.00006160275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3177809,"threshold_uncertainty_score":0.6261141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411340018","doi":"10.1134/s1995080225604953","title":"Ensemble Machine Learning for Comprehensive Drought Assessment: A Case Study in the Mun Watershed of Northeast Thailand","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Watershed; Mathematics; Mathematics education; Hydrology (agriculture); Machine learning; Computer science; Engineering; Geotechnical engineering","authors":[{"name":"Tossapol Phoophiwfa","is_ca":false},{"name":"Prapawan Chomphuwiset","is_ca":false},{"name":"Thanawan Prahadchai","is_ca":false},{"name":"Sujitta Suraphee","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Piyapatr Busababodhin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0241611697234989,"gpt":0.3013188311665259,"spread":0.2771576614430269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296125,0.0001335986,0.0004287377,0.00009922474,0.0001334925,0.00002170264,0.0003165741,0.00005684895,0.00006948214],"category_scores_gemma":[0.00008145944,0.00008188005,0.0001560254,0.0003392961,0.00009430922,0.0001110655,0.00008803535,0.000313581,0.000003766607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005249925,"about_ca_system_score_gemma":0.00002085737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001931487,"about_ca_topic_score_gemma":0.001032735,"domain_scores_codex":[0.9985378,0.0002392244,0.0006652282,0.0001119166,0.0002682534,0.0001775253],"domain_scores_gemma":[0.9987542,0.0005330691,0.0004347857,0.0002065385,0.00003962983,0.0000317692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001213852,0.003530792,0.9303263,0.0002288948,0.0006018075,0.001536569,0.0372894,0.02323961,0.0008613514,0.0003607316,0.0004316714,0.001471446],"study_design_scores_gemma":[0.0227938,0.005875639,0.1010789,0.0006409658,0.005205279,0.01474606,0.3148506,0.4971549,0.001485012,0.03004019,0.004819937,0.001308724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877622,0.00008580021,0.00971273,0.0002847338,0.00003630637,0.000329624,0.000002020973,0.000004308462,0.001782246],"genre_scores_gemma":[0.994751,0.00001234943,0.004990416,0.00007359454,0.00001353028,0.000008083633,0.000001734527,0.000006440836,0.0001428628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8292474,"threshold_uncertainty_score":0.3338972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2588034453","doi":"10.1134/s1995080217010218","title":"Improved estimation of kurtosis parameters for two multivariate populations","year":2017,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"Thammasat University","keywords":"Estimator; Mathematics; Kurtosis; Multivariate statistics; Quadratic equation; Applied mathematics; Statistics; Parametric statistics; Range (aeronautics); Asymptotic distribution","authors":[{"name":"Nighat Zahra","is_ca":false},{"name":"Supranee Lisawadi","is_ca":false},{"name":"S. Ejaz Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1257933414151247,"gpt":0.3270460101823937,"spread":0.2012526687672689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064907,0.0001117022,0.000509805,0.0001328272,0.0001862448,0.00008071947,0.0003354271,0.00007391159,0.00001000676],"category_scores_gemma":[0.002110511,0.0001130625,0.0002354033,0.00004284877,0.00004991645,0.0003906722,0.00003763168,0.0001098298,0.00000486136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000504963,"about_ca_system_score_gemma":0.00002649815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001442664,"about_ca_topic_score_gemma":0.00001775662,"domain_scores_codex":[0.998448,0.000006583399,0.001234109,0.000108468,0.00005033931,0.0001525398],"domain_scores_gemma":[0.9964541,0.0001157314,0.002841674,0.0003780643,0.0001566815,0.00005373855],"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":[0.0001807041,0.001381517,0.02640814,0.001086544,0.0004626233,0.000002680969,0.007296266,0.05391261,0.00125834,0.8784692,0.0002928868,0.02924854],"study_design_scores_gemma":[0.001047375,0.0001084248,0.003540317,0.0001140299,0.00004600274,0.000005147885,0.0000806715,0.6967977,0.0006832792,0.2974131,0.00004076089,0.0001231361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4564965,0.0001340085,0.5424463,0.0001596739,0.0002818702,0.0001529776,0.00005468711,0.000003839014,0.0002701403],"genre_scores_gemma":[0.6672741,0.00001421193,0.3326177,0.000007142017,0.00003856525,0.000003152533,0.000001909268,0.00001116695,0.00003204251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6428851,"threshold_uncertainty_score":0.4610555,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405801586","doi":"10.1134/s1995080224604910","title":"Confidence Intervals for the Parameter in the Kpenadidum Distribution: Comparative Evaluation and Real-World Application","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Confidence interval; Statistics; CDF-based nonparametric confidence interval; Confidence distribution; Distribution (mathematics); Mathematical analysis","authors":[{"name":"Wararit Panichkitkosolkul","is_ca":false},{"name":"Kamon Budsaba","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2013442748431072,"gpt":0.4690495418994199,"spread":0.2677052670563127,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003226823,0.000136724,0.0002617869,0.00006137619,0.0001353824,0.0001994462,0.0002977842,0.00004680016,0.00004754326],"category_scores_gemma":[0.001501347,0.00007613363,0.0001004167,0.0003859183,0.000160224,0.0001497859,0.00002331621,0.0002262394,0.0000106902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257425,"about_ca_system_score_gemma":0.00008533536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009651684,"about_ca_topic_score_gemma":0.0000644817,"domain_scores_codex":[0.9983147,0.0001423804,0.0008067187,0.0001313091,0.0004594894,0.000145375],"domain_scores_gemma":[0.9904481,0.008497234,0.0003554754,0.0002500749,0.0004010379,0.00004807344],"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":[0.000008245381,0.0001147671,0.00001683589,0.000165233,0.00004660474,9.121952e-7,0.00188631,0.00003044597,0.00002648019,0.9863129,0.008213348,0.003177966],"study_design_scores_gemma":[0.0003108503,0.00004866748,0.001313645,0.0002349047,0.000294491,0.00008040709,0.001831911,0.2152564,0.0001016458,0.7772293,0.003206655,0.00009116387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006384265,0.000426225,0.9866225,0.004481437,0.00008526324,0.001200072,0.0001417517,0.00001750409,0.0006410206],"genre_scores_gemma":[0.9845015,0.00007072069,0.01486415,0.00009363431,0.00008981882,0.0002764226,0.00003924586,0.000009502814,0.00005495177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9781173,"threshold_uncertainty_score":0.3104639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377230593","doi":"10.1134/s1995080223020294","title":"Classical and Bayesian Methods for Testing the Ratio of Variances of Delta-Lognormal Distributions","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Statistics; Type I and type II errors; Sample size determination; Statistic; Confidence interval; Log-normal distribution; Test statistic; Statistical hypothesis testing","authors":[{"name":"Wararit Panichkitkosolkul","is_ca":false},{"name":"Mohammad Mastak Al Amin","is_ca":true},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2286859419260527,"gpt":0.4815321420173954,"spread":0.2528462000913427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00369422,0.0001427215,0.0006116569,0.00007208272,0.0001176558,0.0000189032,0.0002435201,0.00007825853,0.000006470471],"category_scores_gemma":[0.01726989,0.00008873342,0.0001452637,0.0003399994,0.0002526322,0.0001114198,0.00007835416,0.0001991497,1.677527e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001811655,"about_ca_system_score_gemma":0.00008701844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.539597e-7,"about_ca_topic_score_gemma":0.000001268758,"domain_scores_codex":[0.998069,0.0002069911,0.001151466,0.00009978589,0.0002501113,0.0002226766],"domain_scores_gemma":[0.9823846,0.01573497,0.001084573,0.0002027359,0.0005046946,0.00008843382],"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":[0.00002808205,0.0002097823,0.00004889353,0.000898932,0.0001491086,0.000003546272,0.001111453,0.0002978289,0.004403858,0.9532368,0.0003769353,0.03923478],"study_design_scores_gemma":[0.0003890239,0.0002344251,0.00007608439,0.0002279995,0.0002596565,0.00008287875,0.000825939,0.1038166,0.003233342,0.890622,0.0001456893,0.00008640611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004633943,0.0001211811,0.9942116,0.0003848246,0.00008793801,0.0002422192,0.0001015747,0.00001318901,0.0002035861],"genre_scores_gemma":[0.04696447,0.00003204441,0.9528607,0.000008816884,0.0000674917,0.00000946176,0.000001938618,0.00001708378,0.0000380435],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1035188,"threshold_uncertainty_score":0.991008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389576621","doi":"10.1134/s1995080223090342","title":"Properties and Parameter Estimation of the Partly-Exponential Distribution","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Exponential distribution; Statistics; Estimator; Exponential function; Maximum likelihood; Moment-generating function; Moment (physics); Applied mathematics; Exponentially modified Gaussian distribution; Likelihood function; Confidence interval; Exponential family; Interval estimation; Natural exponential family; Distribution (mathematics); Restricted maximum likelihood; Cumulative distribution function; Probability density function; Mathematical analysis","authors":[{"name":"Nalattaporn Roopmok","is_ca":false},{"name":"Monthira Duangsaphon","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1109456913103815,"gpt":0.3319030635958902,"spread":0.2209573722855087,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005998077,0.0001100734,0.0002586481,0.00004622254,0.0001093353,0.00003474685,0.0001811516,0.00006181053,0.00002759565],"category_scores_gemma":[0.003272906,0.00006910502,0.0001080421,0.000346382,0.0001806337,0.0001113057,0.00006431677,0.0001388506,0.00001192075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003348948,"about_ca_system_score_gemma":0.00004625899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001101189,"about_ca_topic_score_gemma":6.484163e-7,"domain_scores_codex":[0.9985532,0.00006235371,0.000763444,0.00007490118,0.000410515,0.000135585],"domain_scores_gemma":[0.998228,0.0005823166,0.0006741025,0.0002083916,0.0002424178,0.00006476637],"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":[0.00002077239,0.0004567078,0.0001973494,0.0007730665,0.0001104044,0.000002568302,0.001346464,0.0007121908,0.001962045,0.9778921,0.01166606,0.004860271],"study_design_scores_gemma":[0.0008281838,0.00009440399,0.003757792,0.0005824425,0.0003250839,0.0001475158,0.001421179,0.1577134,0.01630616,0.818354,0.0002643174,0.0002055492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5348375,0.00003033047,0.4638004,0.00083088,0.00009121442,0.000210157,0.00009355386,0.00002756718,0.0000783685],"genre_scores_gemma":[0.9815704,0.00002065358,0.01824471,0.00001450729,0.00003373197,0.000009494824,0.00001363391,0.00001048338,0.00008239197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4467328,"threshold_uncertainty_score":0.3918211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413391696","doi":"10.1134/s199508022560623x","title":"A Comprehensive Study of Mellin’s Transformation on Diverse Fuzzy Numbers with Applications of Optimizing Production Planning","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Transformation (genetics); Fuzzy logic; Production (economics); Algebra over a field; Arithmetic; Production planning; Pure mathematics; Artificial intelligence; Computer science","authors":[{"name":"Ahteshamul Haq","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Irfan Ali","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02169592210041827,"gpt":0.2717170929021405,"spread":0.2500211708017223,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000191087,0.0001319561,0.0003735286,0.0002409147,0.00004455577,0.00001526599,0.0001374568,0.00004808685,0.00000550214],"category_scores_gemma":[0.00003069281,0.0001066383,0.00006570559,0.0003931564,0.00004039361,0.0001585747,0.00001081029,0.0001746631,0.0000011543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000453157,"about_ca_system_score_gemma":0.0000211079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001416208,"about_ca_topic_score_gemma":0.00000114982,"domain_scores_codex":[0.9987582,0.0000224462,0.0007529642,0.00006729052,0.0002944211,0.0001046948],"domain_scores_gemma":[0.9990111,0.0001149233,0.0003612628,0.0001659795,0.0003064175,0.00004029429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000555109,0.001245003,0.0000777916,0.002316932,0.0004074243,0.000002446362,0.0185504,0.9674089,0.0006425105,0.005492065,0.00009420882,0.003706785],"study_design_scores_gemma":[0.01393675,0.004481657,0.0004565075,0.01263913,0.003463724,0.0003014745,0.5905328,0.302417,0.05219428,0.01660864,0.001451101,0.001516917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3354449,0.0001271751,0.6584521,0.00003933007,0.0001008515,0.0008001802,0.000002027873,0.00004890342,0.004984572],"genre_scores_gemma":[0.9015074,0.00003777544,0.0983871,0.000005292158,0.00001644866,0.00001193242,0.000001357001,0.00001450073,0.00001814236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6649919,"threshold_uncertainty_score":0.4348586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392826633","doi":"10.1134/s1995080223110124","title":"Bayesian Estimation and Prediction for Discrete Weibull Distribution","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Weibull distribution; Estimation; Statistics; Bayesian probability; Distribution (mathematics); Bayes estimator; Applied mathematics; Econometrics; Mathematical analysis","authors":[{"name":"Monthira Duangsaphon","is_ca":false},{"name":"Rateeya Santimalai","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05156078303996827,"gpt":0.3605182062119321,"spread":0.3089574231719639,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008751868,0.0001459621,0.0002918876,0.00009332419,0.0001735777,0.00006880025,0.0001249384,0.00009299814,0.00003062947],"category_scores_gemma":[0.002851475,0.0001248954,0.0001063357,0.0003248003,0.00008139876,0.0001909033,0.00002966212,0.0001275008,0.0000177968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007550808,"about_ca_system_score_gemma":0.00004330918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.821371e-7,"about_ca_topic_score_gemma":6.635448e-7,"domain_scores_codex":[0.9984995,0.00003257859,0.0008159209,0.0001221402,0.0003280954,0.0002018343],"domain_scores_gemma":[0.9977416,0.001060121,0.000556141,0.000169941,0.0003266146,0.0001455936],"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":[0.0000204007,0.0001762108,0.00006974916,0.0005006866,0.00006547524,0.000002664338,0.0004104291,0.0002589132,0.0001861741,0.9647403,0.0275924,0.005976596],"study_design_scores_gemma":[0.0006581615,0.0001092341,0.0008732424,0.000145567,0.0001607233,0.0000924651,0.0004175261,0.3553383,0.0002700501,0.6407549,0.001065978,0.000113888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01451583,0.00002143968,0.9826905,0.001235421,0.0001073634,0.0003741685,0.0007860406,0.0001001861,0.0001690873],"genre_scores_gemma":[0.7862464,0.0000515796,0.2128705,0.00002756228,0.0001335496,0.00005431082,0.0003941776,0.00002972534,0.0001921699],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7717306,"threshold_uncertainty_score":0.5093085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411340164","doi":"10.1134/s1995080225600323","title":"A Hybrid Machine Learning Techniques and Statistical Model for Forecasting the Export Value of Durian","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Value (mathematics); Statistical learning; Statistics; Artificial intelligence; Computer science","authors":[{"name":"Supranee Lisawadi","is_ca":false},{"name":"Parattakorn Kamlangdee","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Benjamas Tulyanitikul","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1267007143887772,"gpt":0.4093789557000633,"spread":0.2826782413112861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01610698,0.0001769609,0.0006499349,0.0003052628,0.0001945744,0.0001192433,0.0006824578,0.00006364472,0.0000161738],"category_scores_gemma":[0.03360484,0.000103881,0.0001859842,0.0002954152,0.000198905,0.0001446465,0.0002173263,0.0003699765,3.603689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003825377,"about_ca_system_score_gemma":0.0001809358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002474152,"about_ca_topic_score_gemma":0.000001627789,"domain_scores_codex":[0.9966403,0.0003012092,0.001748599,0.0001870187,0.0008862293,0.0002366122],"domain_scores_gemma":[0.9855107,0.01184528,0.001547449,0.0003197352,0.0006939313,0.00008292262],"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":[0.0006488706,0.0006315113,0.009968805,0.001163111,0.0005333464,0.0001037772,0.007552114,0.006248724,0.001564569,0.2315232,0.007145138,0.7329168],"study_design_scores_gemma":[0.0003216542,0.0001421145,0.00008564748,0.0002454376,0.00009370851,0.000490978,0.0004706649,0.60834,0.001738503,0.3874209,0.0005758975,0.00007454254],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07874338,0.0002771078,0.9180524,0.0003687703,0.0001045366,0.000283819,0.00002696819,0.0000140381,0.002128972],"genre_scores_gemma":[0.3276435,0.00001685268,0.671624,0.00003083748,0.0000484106,0.000006408146,5.829942e-7,0.0000141605,0.0006152329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7328423,"threshold_uncertainty_score":0.9745355,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043216890","doi":"10.1134/s1995080220060207","title":"Strong Limit Theorems for Weighted Sums of Random Elements in Banach Spaces","year":2020,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Banach space; Law of large numbers; Limit (mathematics); Pure mathematics; Space (punctuation); Eberlein–Šmulian theorem; Discrete mathematics; Random variable; Mathematical analysis; Lp space; Statistics","authors":[{"name":"Nguyen Van Huan","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.168308283818529,"gpt":0.3784027758765032,"spread":0.2100944920579741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00654363,0.0001672219,0.0008714284,0.0001970711,0.00004918843,0.00009564639,0.001024586,0.0001018233,0.0001148211],"category_scores_gemma":[0.004795957,0.0001037855,0.0003498696,0.000498971,0.0001221308,0.0003614103,0.0001019692,0.0002399097,0.00001111263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003955107,"about_ca_system_score_gemma":0.0001333253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002396413,"about_ca_topic_score_gemma":0.00001601168,"domain_scores_codex":[0.9958038,0.0001924532,0.002253742,0.0001935092,0.001298682,0.0002578103],"domain_scores_gemma":[0.9949041,0.002421587,0.001635,0.0003057241,0.0005642541,0.0001693214],"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":[0.008920573,0.007810894,0.1481611,0.003168939,0.00204132,0.0001310113,0.134448,0.03304302,0.01153381,0.5148049,0.02963956,0.1062968],"study_design_scores_gemma":[0.006815743,0.0007238297,0.0004161149,0.0002790186,0.0001162875,0.0000171817,0.007804306,0.1353912,0.006143168,0.8408236,0.001226572,0.0002429659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7791021,0.000573347,0.2160179,0.002652344,0.0001614503,0.0004731594,0.00002971523,0.000007517851,0.0009825197],"genre_scores_gemma":[0.9309458,0.00005899394,0.06874961,0.00008107457,0.00009179136,0.000003233163,9.012469e-7,0.00001228074,0.00005628706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3260187,"threshold_uncertainty_score":0.5741554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802600931","doi":"10.1134/s1995080218030113","title":"Poisson Limits for Sequential Multivariate Multinomial Data","year":2018,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multinomial distribution; Poisson distribution; Mathematics; Bernoulli's principle; Bernoulli trial; Econometrics; Multinomial logistic regression; Bankruptcy; Actuarial science; Covariate; Count data; Set (abstract data type); Statistics; Economics; Finance; Computer science","authors":[{"name":"Taehan Bae","is_ca":true},{"name":"Reg Kulperger","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4815890008257953,"gpt":0.4842235657961363,"spread":0.002634564970341036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01018137,0.0001990003,0.0006092527,0.0001944,0.0002200543,0.0002865944,0.002892448,0.0001657531,0.0001458051],"category_scores_gemma":[0.01334588,0.0001278396,0.0002553359,0.0002861064,0.0002505227,0.0009087838,0.0003933608,0.0002438799,0.0001503108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005947639,"about_ca_system_score_gemma":0.0002499524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009871606,"about_ca_topic_score_gemma":0.00004204995,"domain_scores_codex":[0.995993,0.0001741881,0.001823958,0.0003558444,0.001303968,0.0003490023],"domain_scores_gemma":[0.9932971,0.002083224,0.001559268,0.001326632,0.001522052,0.0002117252],"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":[0.00420932,0.01200231,0.00393905,0.0008845156,0.002243513,0.0002022479,0.0691326,0.003319847,0.05758277,0.1323246,0.2661672,0.4479921],"study_design_scores_gemma":[0.004609109,0.001114023,0.000534278,0.0002698618,0.0003072017,0.0005454355,0.001918957,0.3025279,0.01087926,0.6413313,0.03541106,0.0005516392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2502875,0.0001485088,0.7448208,0.001330403,0.001691841,0.0004139659,0.0001702937,0.00002218924,0.001114518],"genre_scores_gemma":[0.6488675,0.00001337915,0.3492064,0.0001075193,0.001335976,0.000001757619,0.000004815804,0.00001975982,0.0004428439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5090067,"threshold_uncertainty_score":0.9949651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405801582","doi":"10.1134/s1995080224605435","title":"Fuzzy Method for Multiple Hypotheses Testing Procedure","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Fuzzy logic; Algebra over a field; Calculus (dental); Artificial intelligence; Pure mathematics; Computer science; Orthodontics; Medicine","authors":[{"name":"Veerapat Taweesapaya","is_ca":false},{"name":"Ampai Thongteeraparp","is_ca":false},{"name":"Wandee Wanishsakpong","is_ca":false},{"name":"Pupe Sudsila","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6313142829333468,"gpt":0.567583129246376,"spread":0.0637311536869708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009837125,0.000336781,0.001184721,0.0001976617,0.00009589042,0.0001994917,0.0005573442,0.0002456044,0.00005754362],"category_scores_gemma":[0.3511235,0.0002403443,0.0005302317,0.0004609929,0.0001006293,0.0001829663,0.00008977992,0.0005920088,0.00002292476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006021,"about_ca_system_score_gemma":0.0002646599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.98622e-7,"about_ca_topic_score_gemma":0.00000145463,"domain_scores_codex":[0.995932,0.0003263362,0.002336273,0.0002876334,0.0006822048,0.0004355313],"domain_scores_gemma":[0.825472,0.1725243,0.0008626853,0.0003302598,0.0006050881,0.0002056793],"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":[0.0001943567,0.0016436,0.0002494502,0.01748639,0.001451848,0.0002472744,0.002799098,0.00009810396,0.006465438,0.8074379,0.02918197,0.1327446],"study_design_scores_gemma":[0.0007493104,0.00039938,0.00001565911,0.002050475,0.0006057456,0.0005989342,0.0004702962,0.01481384,0.00251405,0.976301,0.001218367,0.0002629894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004049907,0.0005633502,0.9897057,0.0004952314,0.001052062,0.0007362161,0.00008118123,0.0001490384,0.003167281],"genre_scores_gemma":[0.01052911,0.00002241751,0.9876683,0.0000933566,0.001162503,0.00003130617,3.704486e-7,0.0001148001,0.0003777881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3412864,"threshold_uncertainty_score":0.9800956,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7129648675","doi":"10.1134/s1995080225612779","title":"Topp–Leone Shanker Distribution with Its Application","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Akaike information criterion; Distribution (mathematics); Moment (physics); Random variate; Selection (genetic algorithm); Model selection; Distribution fitting; Gamma distribution; Moment-generating function","authors":[{"name":"Winai Bodhisuwan","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Kanittha Yimnak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03528436416728081,"gpt":0.3463864219086903,"spread":0.3111020577414095,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005234572,0.0001822158,0.0003745914,0.00008992972,0.0001315335,0.00005486535,0.0002888319,0.00009992497,0.0001130212],"category_scores_gemma":[0.001062564,0.0001390118,0.0001031635,0.0005476109,0.00008431169,0.0001560495,0.00003658749,0.0002359583,0.0000501513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015355,"about_ca_system_score_gemma":0.0001259867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.318036e-7,"about_ca_topic_score_gemma":0.000002673805,"domain_scores_codex":[0.9983209,0.00004024229,0.0008688271,0.0001422199,0.0004254048,0.0002024232],"domain_scores_gemma":[0.9975492,0.000566379,0.0006689387,0.0003178302,0.0007813133,0.0001162832],"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":[0.0000205392,0.0005552213,0.00006374205,0.0002425284,0.00008429271,0.000003365441,0.0000975941,0.00002815152,0.0004120585,0.9884448,0.00734128,0.002706419],"study_design_scores_gemma":[0.002545051,0.0002222353,0.002761273,0.0008803564,0.0007893046,0.0003112142,0.001026318,0.01872868,0.008122389,0.9454497,0.01866182,0.0005016809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01395858,0.00008673979,0.9792617,0.001732294,0.00005706492,0.0003520205,0.0001101185,0.00005251086,0.004388998],"genre_scores_gemma":[0.9098905,0.00002878188,0.08895735,0.0001325929,0.00007115959,0.00004565752,0.0000668569,0.0000192476,0.0007878941],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8959319,"threshold_uncertainty_score":0.5668737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392826065","doi":"10.1134/s199508022311029x","title":"A Modified Mixture Model-Based Clustering Algorithm for Resolving the Problem of Mixed Pixels Available in Satellite Imagery","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Pixel; Mathematics; Satellite; Cluster analysis; Algorithm; Remote sensing; Satellite imagery; Artificial intelligence; Computer science; Geography; Statistics","authors":[{"name":"Abdullah Sherwani","is_ca":false},{"name":"Q. M. Ali","is_ca":false},{"name":"Irfan Ali","is_ca":false},{"name":"Chom Panta","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04011663520160773,"gpt":0.2827471283570652,"spread":0.2426304931554575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004447063,0.0002178584,0.000566115,0.0003039837,0.00008851111,0.0001249226,0.001140564,0.0001276282,0.000002561172],"category_scores_gemma":[0.000139335,0.0001488672,0.0002673614,0.0007206189,0.00005923723,0.000340804,0.00018741,0.0003401332,0.000004419347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005984445,"about_ca_system_score_gemma":0.0002251228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002573551,"about_ca_topic_score_gemma":0.000004293594,"domain_scores_codex":[0.9976602,0.0001533468,0.001093124,0.0002152062,0.0004637631,0.0004143828],"domain_scores_gemma":[0.9974316,0.0008301469,0.000810148,0.0005230777,0.0003111857,0.00009377738],"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":[0.00009205806,0.0009350416,0.00003831896,0.003156986,0.0002758937,0.0001625918,0.014269,0.1951452,0.01561208,0.04419481,0.008244673,0.7178734],"study_design_scores_gemma":[0.0006578436,0.00007403391,0.000007036562,0.0004893769,0.00002790206,0.00004987128,0.00006504869,0.8867409,0.002784003,0.1087881,0.000176029,0.0001398723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001576815,0.0006001209,0.9960718,0.0005757536,0.0001296144,0.000399794,0.000007672571,0.00003527804,0.0006032206],"genre_scores_gemma":[0.007308422,0.0001143198,0.9920441,0.00008936918,0.00006380207,0.00001763787,0.000001069792,0.00002746729,0.0003338272],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7177335,"threshold_uncertainty_score":0.6070629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7150184825","doi":"10.1134/s1995080225612846","title":"On the Computation of Quantiles of Finite Mixtures with Stochastically Ordered Components","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Quantile; Computation; Weibull distribution; Mixture model; Component (thermodynamics)","authors":[{"name":"T. Bae","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02430852922001471,"gpt":0.280337160350824,"spread":0.2560286311308093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000886579,0.0001296759,0.0004085632,0.0001498177,0.00004485003,0.00003474461,0.0006836306,0.00005415392,0.000003202691],"category_scores_gemma":[0.0003620495,0.0000711449,0.0001064443,0.0003300318,0.0001079349,0.00009145029,0.00007587388,0.0001962956,7.181362e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001344034,"about_ca_system_score_gemma":0.0001054653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002035008,"about_ca_topic_score_gemma":7.650129e-7,"domain_scores_codex":[0.998535,0.0001378387,0.0006691149,0.00009504124,0.0004420118,0.0001209878],"domain_scores_gemma":[0.9969714,0.00146844,0.0008132044,0.0002915836,0.0004150749,0.00004025677],"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":[0.00006401277,0.0005390659,0.00002601379,0.0002930292,0.0001957363,0.000008422931,0.001525154,0.003928441,0.003289161,0.982896,0.0003492842,0.006885627],"study_design_scores_gemma":[0.001069431,0.0007302083,0.0003520558,0.002301756,0.0001209629,0.00006696442,0.000134983,0.2243595,0.01432973,0.7563661,0.00001687923,0.0001514293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03842315,0.00013989,0.9594391,0.0007703714,0.00009842773,0.0001251117,0.000002342498,0.000006704074,0.0009949242],"genre_scores_gemma":[0.5515072,0.000006476297,0.4483834,0.00007879258,0.00000716353,5.610332e-7,1.676209e-7,0.000003701637,0.0000125276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5130841,"threshold_uncertainty_score":0.2901205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405801372","doi":"10.1134/s1995080224604879","title":"Negative Binomial INAR(1) Process with Poisson-transmuted Record Type Exponential Innovations","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Poisson distribution; Negative binomial distribution; Poisson process; Binomial (polynomial); Type (biology); Exponential function; Applied mathematics; Discrete mathematics; Statistics; Mathematical analysis","authors":[{"name":"M. R. Irshad","is_ca":false},{"name":"Muhammed Ahammed","is_ca":false},{"name":"Radhakumari Maya","is_ca":false},{"name":"Witchaya Rattanametawee","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1105614998991308,"gpt":0.3878908150269605,"spread":0.2773293151278297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002927481,0.0002126285,0.0005113401,0.0005015528,0.000141781,0.0004695926,0.0008165512,0.000130385,0.0002575656],"category_scores_gemma":[0.001773464,0.0001234084,0.0001608891,0.002284147,0.0002003901,0.0009778271,0.00005413558,0.0005382476,0.000111412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008523399,"about_ca_system_score_gemma":0.0006393907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000706342,"about_ca_topic_score_gemma":0.00002737295,"domain_scores_codex":[0.9963996,0.0001231886,0.001457802,0.0002684504,0.001495475,0.0002555221],"domain_scores_gemma":[0.9960141,0.001079845,0.0006364527,0.0003710405,0.001759273,0.0001393151],"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":[0.004832223,0.009155909,0.007394359,0.003453971,0.004155374,0.00249779,0.2539887,0.03161065,0.01012813,0.3616591,0.06349958,0.2476242],"study_design_scores_gemma":[0.001309043,0.001280451,0.0003614475,0.001153683,0.0002539103,0.001248052,0.007196673,0.02874584,0.003751471,0.9485747,0.005620654,0.0005040387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423738,0.0002834914,0.1519634,0.002387214,0.0008055351,0.0002414873,0.00001813168,0.00004654637,0.001880458],"genre_scores_gemma":[0.9531536,0.00003505493,0.04599104,0.00005793989,0.0002655011,0.000003541059,0.000001526808,0.00002363483,0.0004681576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5869156,"threshold_uncertainty_score":0.503245,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410884688","doi":"10.1134/s1995080224608154","title":"Multi-Output Parameter Estimation of the Generalized Extreme Value Distribution for Flood Risk in Northeast Thailand","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Flood myth; Estimation; Generalized extreme value distribution; Extreme value theory; Distribution (mathematics); Value (mathematics); Statistics; Applied mathematics; Econometrics; Geography; Mathematical analysis","authors":[{"name":"Rapeeporn Chamchong","is_ca":false},{"name":"Tossapol Phoophiwfa","is_ca":false},{"name":"Sujitta Suraphee","is_ca":false},{"name":"Witchaya Rattanamethawee","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Piyapatr Busababodhin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01873105261759193,"gpt":0.2546862985894692,"spread":0.2359552459718773,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009089689,0.0001006094,0.0002832641,0.00004202834,0.0000761337,0.00001167936,0.0002541561,0.00008656567,0.00003986086],"category_scores_gemma":[0.000619042,0.00006403694,0.0002073647,0.0002714015,0.0001067123,0.0001065588,0.00006106037,0.0001497587,0.000004627455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008471954,"about_ca_system_score_gemma":0.00002119877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004678023,"about_ca_topic_score_gemma":0.000144606,"domain_scores_codex":[0.9988546,0.000112639,0.0006070198,0.00009022907,0.0002000448,0.0001354942],"domain_scores_gemma":[0.9989458,0.0002304081,0.0005680643,0.000201335,0.00002511247,0.00002929878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001395482,0.001628026,0.5965192,0.000168597,0.0003379654,0.000004402275,0.002189933,0.388233,0.0008484395,0.001382249,0.001073896,0.007474744],"study_design_scores_gemma":[0.002094202,0.00006353771,0.09463187,0.000143908,0.0005079073,0.00002069409,0.0001428005,0.8719217,0.001945961,0.02823105,0.0001794665,0.0001168964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171072,0.00005987506,0.2823192,0.0001897155,0.0000646959,0.0001407094,0.00001815167,0.000002268223,0.0000981206],"genre_scores_gemma":[0.935274,0.00002219037,0.06449284,0.0000323785,0.00001096118,0.000004675145,0.000004445202,0.00000425476,0.0001542401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5018873,"threshold_uncertainty_score":0.2611351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7129510174","doi":"10.1134/s199508022560966x","title":"DUS Exponential Distribution: Properties and Applications","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Bonferroni correction; Exponential distribution; Stochastic ordering; Exponential function; Maximum likelihood; Moment (physics); Reliability (semiconductor); Entropy (arrow of time); Lorenz curve","authors":[{"name":"Danish Qayoom","is_ca":false},{"name":"Aafaq A. Rather","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Orawan Supapueng","is_ca":false},{"name":"Adil H. Khan","is_ca":false},{"name":"Faizan Danish","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06978924245913684,"gpt":0.3344192492886091,"spread":0.2646300068294722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003922282,0.000137745,0.000301701,0.00007093856,0.0001729643,0.00007609397,0.0002016715,0.00007663602,0.00006861683],"category_scores_gemma":[0.0008422171,0.0001105161,0.00008681318,0.0002830456,0.0001693774,0.0001114462,0.00005893372,0.0001789684,0.00001507987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006764118,"about_ca_system_score_gemma":0.00009106275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.224607e-7,"about_ca_topic_score_gemma":8.403978e-7,"domain_scores_codex":[0.9986684,0.00003591095,0.000779276,0.0001093028,0.0002567413,0.0001503536],"domain_scores_gemma":[0.9984897,0.0003852738,0.000391674,0.000225045,0.0004056483,0.0001026771],"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":[0.000007227223,0.0003571852,0.00003705433,0.0002831584,0.00006025974,0.000001546277,0.0001099466,0.000004009222,0.0002900132,0.9891056,0.006333425,0.003410537],"study_design_scores_gemma":[0.0009906783,0.00005430144,0.000684273,0.0004008677,0.0003655758,0.00020701,0.001184403,0.002336053,0.002742008,0.9684864,0.02231741,0.0002310481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01011829,0.0003240957,0.9855505,0.001144555,0.00006472997,0.0003116925,0.00008026713,0.00003915536,0.002366741],"genre_scores_gemma":[0.9338266,0.00009184182,0.0650085,0.0001010934,0.0001282991,0.00005221754,0.00002374759,0.00001465636,0.0007530935],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9237083,"threshold_uncertainty_score":0.4506717,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389576606","doi":"10.1134/s1995080223090287","title":"Alpha Power Exponentiated Pareto Distribution","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Lomax distribution; Pareto distribution; Pareto principle; Quantile; Pareto interpolation; Moment (physics); Generalized Pareto distribution; Distribution (mathematics); Quantile function; Applied mathematics; Statistics; Moment-generating function; Mathematical optimization; Probability distribution; Extreme value theory; Mathematical analysis","authors":[{"name":"Panuwat Pimsap","is_ca":false},{"name":"Winai Bodhisuwan","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08176443579949462,"gpt":0.3684725810211189,"spread":0.2867081452216242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008915014,0.0001790534,0.0003764355,0.0001099991,0.0001317953,0.00006465413,0.0002980455,0.0001040471,0.0004454442],"category_scores_gemma":[0.002748145,0.000150609,0.0001886546,0.0007325017,0.00008626064,0.0001588521,0.000055774,0.0002226968,0.000458789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010255,"about_ca_system_score_gemma":0.00006718266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.051675e-7,"about_ca_topic_score_gemma":7.22004e-7,"domain_scores_codex":[0.997874,0.00005938864,0.001049478,0.0001234015,0.0006055207,0.0002882292],"domain_scores_gemma":[0.9974803,0.0008069818,0.0007146331,0.0002974055,0.0005032867,0.0001974365],"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":[0.00000989902,0.0004663567,0.00008170961,0.0001223134,0.00009220846,0.00003114743,0.0004359495,0.00002327884,0.0005183767,0.893641,0.1040004,0.0005774048],"study_design_scores_gemma":[0.00140471,0.0001662952,0.005216733,0.0003276333,0.0002678882,0.0003480142,0.00226632,0.008869396,0.002017037,0.9697641,0.008925474,0.0004263895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.140923,0.00003754995,0.855153,0.001217314,0.0002289845,0.0002375572,0.0003406263,0.0002024162,0.001659613],"genre_scores_gemma":[0.9752048,0.00003360958,0.02413213,0.000048685,0.0000710098,0.00001395566,0.0001501162,0.00002975636,0.0003159982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8342817,"threshold_uncertainty_score":0.6141658,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413391669","doi":"10.1134/s1995080225606447","title":"Flow Analysis and Price Elasticity Assessment of Thai Jasmine Rice in the Logistics System Using Mathematical Models","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Elasticity (physics); Mathematical economics","authors":[{"name":"Wichai Witayakiattilerd","is_ca":false},{"name":"Jirabhorn Yamkleeb","is_ca":false},{"name":"Andrei Volodin","is_ca":true},{"name":"Wararit Panichkitkosolkul","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03616947997941566,"gpt":0.2795260214747672,"spread":0.2433565414953516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001584059,0.0001831937,0.0006754205,0.0004456269,0.00007286653,0.000154215,0.0004324818,0.0000732247,0.000009750745],"category_scores_gemma":[0.0001925022,0.0001221033,0.0001756476,0.00137758,0.00008251929,0.0003551841,0.000135911,0.0002267698,0.000001095877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007938874,"about_ca_system_score_gemma":0.00006003948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003001223,"about_ca_topic_score_gemma":0.000009728559,"domain_scores_codex":[0.9981563,0.0000476261,0.0009445829,0.0001228669,0.0005288943,0.0001997327],"domain_scores_gemma":[0.998183,0.000429925,0.0008098658,0.0002338627,0.0003285228,0.00001486706],"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":[0.00002319038,0.001008233,0.01904892,0.005492765,0.0007950725,0.00007385175,0.0003854161,0.09135531,0.0001586393,0.8814886,0.00002387203,0.0001460848],"study_design_scores_gemma":[0.0004974807,0.00001647456,0.01205862,0.0009542865,0.001997768,0.00005087109,0.003900275,0.935226,0.000022042,0.04512896,0.0000192342,0.0001280454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3066151,0.0001147111,0.6816787,0.0001328823,0.00006632939,0.0001435374,0.000003630874,0.000007880804,0.01123729],"genre_scores_gemma":[0.9709531,0.0000139887,0.02882885,0.000103112,0.00008108796,0.000002028052,0.000001193291,0.000007500904,0.000009128872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8438706,"threshold_uncertainty_score":0.4979227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405801595","doi":"10.1134/s1995080224605411","title":"Structural Properties of the Alpha Power Exponentiated Generalized Pareto Distribution with Applications","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Pareto distribution; Alpha (finance); Pareto principle; Distribution (mathematics); Power (physics); Generalized Pareto distribution; Applied mathematics; Statistics; Mathematical analysis; Extreme value theory; Thermodynamics","authors":[{"name":"Panuwat Pimsap","is_ca":false},{"name":"Winai Bodhisuwan","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0536863935428728,"gpt":0.3098638108086835,"spread":0.2561774172658107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000324848,0.0001702127,0.0003143331,0.00004816691,0.000126348,0.00007907015,0.0003275264,0.00006857105,0.0001206135],"category_scores_gemma":[0.0003290347,0.00009227657,0.0001662292,0.0004725196,0.0002100353,0.0001427355,0.00004404851,0.0002180223,0.00001083269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009058233,"about_ca_system_score_gemma":0.0001402521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001976849,"about_ca_topic_score_gemma":0.000002275996,"domain_scores_codex":[0.9982621,0.00006042882,0.0008634107,0.0001177977,0.0005332007,0.000163051],"domain_scores_gemma":[0.998335,0.0002147777,0.0005366499,0.0003278278,0.0005010626,0.0000846847],"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":[0.00001652566,0.0001931635,0.00005040471,0.0005223287,0.000174746,0.000002551814,0.0005925429,0.00005833255,0.003179955,0.9923537,0.002479229,0.0003765683],"study_design_scores_gemma":[0.002726956,0.0003763881,0.003591324,0.004340854,0.002122106,0.001746067,0.003822023,0.04475155,0.06791198,0.8589901,0.008582303,0.001038331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2729829,0.0004535827,0.7244933,0.0008192486,0.0001039976,0.000528034,0.0002884806,0.0000572487,0.0002733011],"genre_scores_gemma":[0.9781861,0.00001292535,0.02154852,0.00001898362,0.0000426189,0.00003809419,0.00002147402,0.00002134838,0.0001099686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7052032,"threshold_uncertainty_score":0.3762929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389103021","doi":"10.1134/s1995080223080024","title":"On a Discrete Boundary Value Problem in a Quarter-Plane","year":2023,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mathematics; Quarter (Canadian coin); Plane (geometry); Boundary value problem; Value (mathematics); Mathematical analysis; Algebra over a field; Calculus (dental); Pure mathematics; Geometry; Statistics","authors":[{"name":"E. B. Afanasieva","is_ca":false},{"name":"A. A. Khodyreva","is_ca":false},{"name":"Vladimir Vasilyev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05106870634339987,"gpt":0.3599141913072084,"spread":0.3088454849638085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002014646,0.0002249376,0.0006413122,0.0004177464,0.00006790341,0.00008778286,0.0003500674,0.0001109751,0.0001107687],"category_scores_gemma":[0.001277603,0.0001661145,0.0002163751,0.0007076632,0.00005996471,0.0001432621,0.0000575199,0.0004355914,0.0001036426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008840192,"about_ca_system_score_gemma":0.00007970655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004489205,"about_ca_topic_score_gemma":0.000005442184,"domain_scores_codex":[0.9974863,0.0002125059,0.001156756,0.0001454035,0.0006466715,0.0003523875],"domain_scores_gemma":[0.9969355,0.001856013,0.0006585555,0.0003096992,0.00009877761,0.0001413814],"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":[0.000180103,0.003096314,0.0003447317,0.001794408,0.0003782051,0.0005442905,0.01167322,0.0005738033,0.001627924,0.9469603,0.01725938,0.01556737],"study_design_scores_gemma":[0.0009401219,0.0005463933,0.0002746484,0.0008124157,0.00006710251,0.0001205432,0.001063078,0.003779046,0.0002497333,0.9914744,0.0004791225,0.000193349],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7994146,0.00009485698,0.1851289,0.001694066,0.0005602445,0.0006050266,0.00002527328,0.0001421244,0.01233491],"genre_scores_gemma":[0.4823107,0.00007454697,0.5164003,0.0001112398,0.0002155213,0.00002136527,0.00000664452,0.00008509999,0.0007746054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3312714,"threshold_uncertainty_score":0.6773952,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7081957999","doi":"10.1134/s1995080225606794","title":"Confidence Estimation of the Ratio of Variances of Two Log-normal Populations","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Hume's philosophy and hair distribution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Percentile; Variance (accounting); Confidence interval; Sample size determination; Sample (material); One-way analysis of variance; Analysis of variance; Sample variance; Variance components","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04807748871150536,"gpt":0.3641014168176198,"spread":0.3160239281061145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211172,0.00006538457,0.000266168,0.00007130792,0.0001415235,0.00001493275,0.0003469216,0.00006185346,0.00005419894],"category_scores_gemma":[0.0009687844,0.00004893801,0.0001415765,0.0003896779,0.0003370458,0.0002340232,0.00003062819,0.0001150464,8.082906e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004724092,"about_ca_system_score_gemma":0.0003678845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015583,"about_ca_topic_score_gemma":0.0001051973,"domain_scores_codex":[0.9984425,0.0001403346,0.0008235461,0.00004565746,0.0004540433,0.00009392767],"domain_scores_gemma":[0.9977996,0.0002273738,0.001303636,0.0001515394,0.0004884817,0.00002939247],"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":[0.000007447123,0.0001572842,0.001173169,0.0001410414,0.00003744952,2.600462e-7,0.004586011,0.003251364,0.0004913403,0.989603,0.0001080262,0.0004436494],"study_design_scores_gemma":[0.0004663227,0.00006738729,0.00397457,0.0008682797,0.000218087,0.000006146328,0.0034289,0.003070137,0.01086639,0.9768826,0.00007753473,0.00007363033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4611607,0.0005566877,0.4984632,0.003470742,0.0008385043,0.0004495152,0.00005769985,0.00001193935,0.03499098],"genre_scores_gemma":[0.9909281,0.00002834517,0.008898741,0.00001413532,0.00004681046,8.467484e-7,0.000001225168,0.000002155276,0.00007967349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5297673,"threshold_uncertainty_score":0.1995634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7129235533","doi":"10.1134/s1995080225609658","title":"The Transmuted Komal Distribution: Properties, Estimation, and Real-World Applications","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Reliability (semiconductor); Order statistic; Extension (predicate logic); Maximum likelihood; Reliability theory; Key (lock); Statistical model; Failure rate","authors":[{"name":"S. B. Ranade","is_ca":false},{"name":"Aafaq A. Rather","is_ca":false},{"name":"Maryam Aljarrah","is_ca":true},{"name":"D. Vedavathi Saraja","is_ca":false},{"name":"Syed M. Parveen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04094858557831548,"gpt":0.3424553036685812,"spread":0.3015067180902657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007788787,0.0001745046,0.0003123269,0.00007642184,0.0005445997,0.000156165,0.0003270055,0.0000687528,0.00002601373],"category_scores_gemma":[0.0009707482,0.0001159933,0.0001002807,0.0006111799,0.0002963272,0.0001281426,0.00004304332,0.000234274,0.00001058953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235983,"about_ca_system_score_gemma":0.0001728171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004206601,"about_ca_topic_score_gemma":0.00001967974,"domain_scores_codex":[0.9981676,0.00006607221,0.001087997,0.0001295582,0.0003405813,0.0002082259],"domain_scores_gemma":[0.9972346,0.001236964,0.0005070294,0.0003367232,0.0005653235,0.0001193628],"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":[0.00001100228,0.0002235877,0.00004265517,0.0002000806,0.00007497398,9.426143e-7,0.0001194672,0.00001718161,0.00005718823,0.9808309,0.008308206,0.01011379],"study_design_scores_gemma":[0.0008628509,0.00004257928,0.001591876,0.0003465345,0.0003814299,0.00009066702,0.000687017,0.02202042,0.0006693524,0.9399363,0.03315213,0.0002188026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003117058,0.0003161477,0.9875781,0.004717667,0.0000658539,0.0005274191,0.00009281236,0.00005602694,0.003528933],"genre_scores_gemma":[0.8606445,0.0004675603,0.135467,0.0001454749,0.000114734,0.0002184016,0.00005915417,0.00003024224,0.00285298],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8575274,"threshold_uncertainty_score":0.4730071,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405801493","doi":"10.1134/s1995080224605034","title":"Confidence Intervals for Functions of Log-Normal Parameters Under Copula Dependence Structures: Applications to Tornado Damage Areas in Canada","year":2024,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Tornado; Mathematics; Copula (linguistics); Confidence interval; Statistics; Econometrics; Geography; Meteorology","authors":[{"name":"Supawadee Wichitchan","is_ca":false},{"name":"Prayad Sangngam","is_ca":false},{"name":"Rojanee Homchalee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05480500081891862,"gpt":0.2704881713320154,"spread":0.2156831705130967,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918357,0.0001266783,0.0004502316,0.0002312483,0.0000410138,0.00005195165,0.0003107389,0.00006367139,0.00004572667],"category_scores_gemma":[0.0003144919,0.0001297721,0.0001312268,0.0002807821,0.00002894928,0.0001907905,0.00003847239,0.000209258,0.000007361093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893084,"about_ca_system_score_gemma":0.0004186595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03715306,"about_ca_topic_score_gemma":0.1174581,"domain_scores_codex":[0.9982809,0.0000102445,0.001245442,0.0001664459,0.00009487005,0.0002020302],"domain_scores_gemma":[0.9987983,0.0003190685,0.0004404562,0.0002229701,0.00012026,0.00009893908],"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":[0.00006441513,0.0002043248,0.01527247,0.001420714,0.000218475,0.00001812048,0.002983723,0.06770609,0.0001313345,0.9062496,0.002306609,0.00342408],"study_design_scores_gemma":[0.000648456,0.0002467419,0.008872755,0.0009565468,0.00008215408,0.0000905768,0.004226905,0.09881277,0.0005485337,0.8811023,0.003921358,0.0004909069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3363632,0.001111422,0.6612566,0.0002612486,0.0002982504,0.0002612341,0.000190107,0.000004498643,0.0002534734],"genre_scores_gemma":[0.9732813,0.00005354382,0.02642442,0.00007711544,0.00004729029,0.00001865427,0.000003342065,0.00001556287,0.00007877497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6369181,"threshold_uncertainty_score":0.9692586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321067043","doi":"10.1134/s1995080222140244","title":"On a Non-Linear Differential-Integral Equation","year":2022,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mathematics; Linear differential equation; Differential equation; Algebra over a field; Mathematical analysis; Pure mathematics","authors":[{"name":"Mario Lefebvre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08273689629063179,"gpt":0.3322795330990841,"spread":0.2495426368084523,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008458757,0.0002395185,0.0004783651,0.0004033165,0.0004150995,0.00004525526,0.0004837346,0.00007009188,0.001808118],"category_scores_gemma":[0.001448467,0.0002098015,0.0003902615,0.0003784321,0.00005610966,0.0001826103,0.0001394631,0.0007916845,0.00006820071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479397,"about_ca_system_score_gemma":0.0001730219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000576627,"about_ca_topic_score_gemma":0.000004068178,"domain_scores_codex":[0.9969453,0.0001758647,0.001108562,0.0001541708,0.00134058,0.000275502],"domain_scores_gemma":[0.996711,0.001262048,0.00119267,0.0003776908,0.0003270904,0.00012954],"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":[0.000133392,0.004927577,0.00004990311,0.0001494859,0.0004035216,0.00004173909,0.002403648,0.0058894,0.002010938,0.9668799,0.01601928,0.001091219],"study_design_scores_gemma":[0.001888043,0.001005233,0.0002353717,0.000189385,0.0003937301,0.000508984,0.002386576,0.07818069,0.0007932383,0.9132582,0.0007667763,0.0003937591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4923249,0.00002818813,0.5027357,0.000633706,0.0009910105,0.0003172449,0.00004363841,0.00004679644,0.002878917],"genre_scores_gemma":[0.9465917,0.000007372217,0.05196491,0.00008012479,0.0002480406,0.00002903629,0.00001533747,0.00005090969,0.001012597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4542668,"threshold_uncertainty_score":0.9991044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413391628","doi":"10.1134/s1995080225606423","title":"Comparing Bootstrap Confidence Intervals for the Discrete Poisson–Bilal Distribution with Applications to Rainfall and Thunderstorms","year":2025,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Poisson distribution; Confidence interval; CDF-based nonparametric confidence interval; Distribution (mathematics); Statistics; Thunderstorm; Robust confidence intervals; Confidence distribution; Meteorology; Geography; Mathematical analysis","authors":[{"name":"Wararit Panichkitkosolkul","is_ca":false},{"name":"Raymond Benjamin Afful","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1079472173043374,"gpt":0.3936277865786979,"spread":0.2856805692743605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006963442,0.0001640561,0.0003470837,0.00005703921,0.0002740503,0.0001334976,0.0003243301,0.00005434807,0.00001506753],"category_scores_gemma":[0.000918803,0.0001026291,0.00009057755,0.0002774987,0.000173661,0.0001042429,0.00005717238,0.0001775477,0.000003977977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101992,"about_ca_system_score_gemma":0.00008370139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002992435,"about_ca_topic_score_gemma":0.00001564158,"domain_scores_codex":[0.998679,0.00002664554,0.0007011273,0.0001395909,0.0002594842,0.0001941382],"domain_scores_gemma":[0.9966464,0.002070073,0.000437564,0.0002795847,0.0004381576,0.000128187],"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":[0.00003156939,0.000129169,0.0001146124,0.0002298512,0.0001088932,4.299351e-7,0.0003561273,0.00006831864,0.0000820471,0.9940524,0.003921834,0.0009047337],"study_design_scores_gemma":[0.001567879,0.0002206835,0.003733939,0.0007953814,0.0007065081,0.0001351331,0.004081081,0.01789662,0.0008115093,0.961441,0.008299369,0.000310883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004376189,0.00009262159,0.9889766,0.004812036,0.00003644713,0.0009641391,0.000136575,0.00002693968,0.0005784318],"genre_scores_gemma":[0.9094425,0.0000185209,0.08990549,0.000194027,0.00004517412,0.0001723315,0.00001976415,0.00001291655,0.0001892512],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9050664,"threshold_uncertainty_score":0.4185093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312280929","doi":"10.1134/s1995080222120058","title":"The Negative Binomial-Generalized Lindley Distribution for Overdispersed Data","year":2022,"lang":"en","type":"article","venue":"Lobachevskii Journal of Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Negative binomial distribution; Negative multinomial distribution; Beta-binomial distribution; Count data; Statistics; Binomial distribution; Estimator; Quasi-likelihood; Beta negative binomial distribution; Multinomial distribution; Maximum likelihood; Distribution (mathematics); Applied mathematics; Univariate distribution; Poisson distribution; Probability distribution; Mathematical analysis","authors":[{"name":"Yupapin Atikankul","is_ca":false},{"name":"Atchariya Wattanavisut","is_ca":false},{"name":"Sichen Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1508329413690516,"gpt":0.3963978274370092,"spread":0.2455648860679576,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002025037,0.0001627638,0.0003402463,0.00003657861,0.0009584567,0.0001034016,0.001003927,0.00004451464,0.0001884831],"category_scores_gemma":[0.005673357,0.0001176602,0.0001695397,0.0002755173,0.0001251163,0.0001421042,0.0002788165,0.0002948231,0.000008219473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328269,"about_ca_system_score_gemma":0.0001905303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002338241,"about_ca_topic_score_gemma":0.000003822723,"domain_scores_codex":[0.9978105,0.0001426746,0.001035197,0.0001615691,0.000596756,0.000253312],"domain_scores_gemma":[0.9939861,0.003689972,0.001128554,0.0006655835,0.0004108881,0.0001189445],"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":[0.0000646818,0.0004245916,0.00000563379,0.00005329488,0.0001157438,0.000001956139,0.0002963388,0.0001048592,0.00009111953,0.8897353,0.1077265,0.001380008],"study_design_scores_gemma":[0.002455464,0.000201623,0.0001019405,0.00003823739,0.0003652336,0.0001675575,0.003428669,0.07219671,0.0003459037,0.8520533,0.06838821,0.000257147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008031243,0.00009973034,0.9826649,0.003149818,0.0003262241,0.0006816032,0.00460523,0.00003358812,0.0004075923],"genre_scores_gemma":[0.6747363,0.00009193903,0.3214513,0.000297625,0.0005429601,0.0002782712,0.001433254,0.00008222515,0.001086118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6667051,"threshold_uncertainty_score":0.7371771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}