{"meta":{"query_hash":"ed60203a6205","filters":{"venue":"Lobachevskii Journal of Mathematics"},"cohort_total":46,"direct_labels_cover":0,"predictions_cover":46,"exported":46,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ed60203a6205","api":"https://metacan.xera.ac/api/v1/cohort?venue=Lobachevskii+Journal+of+Mathematics"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Geometry; Calculus (dental); Algebra over a field; Pure mathematics","score_opus":0.06404116727728586,"score_gpt":0.3517907299601111,"score_spread":0.28774956268282526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007203545","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021831721,0.0057720714,0.89902973,0.011925931,0.0033011404,0.00006602743,0.0006210389,0.0004993401,0.056952972],"genre_scores_gemma":[0.67989,0.009061348,0.26315913,0.0048333774,0.008046013,0.00032015587,0.0006823533,0.0012102184,0.032797445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99638903,0.001501354,0.0002164769,0.000786075,0.0009677204,0.00013928644],"domain_scores_gemma":[0.988415,0.007496869,0.0009555349,0.001242756,0.0016072446,0.00028242733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041692345,0.0010707185,0.0011086959,0.0019669011,0.00093219575,0.0022183731,0.0023889327,0.001814203,0.009267401],"category_scores_gemma":[0.028007358,0.00042492713,0.0009813518,0.0009608169,0.005902241,0.003982904,0.002240271,0.0036652316,0.002344447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007694894,0.000023103667,0.0011071537,0.00032575696,0.000050029295,0.0010161408,0.0006949663,0.007755087,0.004024014,0.94320035,0.0098717,0.03185489],"study_design_scores_gemma":[0.000028155708,0.00019887672,0.0035730796,0.00021088486,0.00004677523,0.001763375,0.00039297948,0.017362814,0.004806167,0.8714904,0.099959224,0.00016724995],"about_ca_topic_score_codex":0.00082299433,"about_ca_topic_score_gemma":0.00038633696,"teacher_disagreement_score":0.009267401,"about_ca_system_score_codex":0.0005359432,"about_ca_system_score_gemma":0.00040905885,"threshold_uncertainty_score":0.031002522},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.027139678016563133,"score_gpt":0.22358010053311508,"score_spread":0.19644042251655194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058843651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17594382,0.0007751669,0.8169383,0.0009833225,0.0001586952,0.00006029667,0.0000559794,0.0001714939,0.004912966],"genre_scores_gemma":[0.9451318,0.0005282583,0.04561723,0.00011008959,0.00014552422,0.00008437144,0.00007218971,0.00005439974,0.008256137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985038,0.00043216944,0.00009720896,0.00026778204,0.0005302732,0.00016875826],"domain_scores_gemma":[0.99784553,0.0009487616,0.00040463448,0.00024321904,0.0003179313,0.00023979106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043061236,0.00077196746,0.001013069,0.0007726118,0.00045433003,0.002786731,0.0019078392,0.002372429,0.0026928333],"category_scores_gemma":[0.014387346,0.0005761648,0.0011263427,0.0004965111,0.0020335016,0.004451743,0.0017528214,0.0028304078,0.00033484123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012286934,0.000046113197,0.0015394414,0.00005561963,0.000040796873,0.0006182509,0.00021627388,0.09419283,0.0077633755,0.88338435,0.0006743696,0.011345696],"study_design_scores_gemma":[0.00007624561,0.0001152629,0.00084799394,0.000019817679,0.000027407717,0.0002558446,0.000044228524,0.8075154,0.0014790801,0.18814053,0.0014335497,0.000044715234],"about_ca_topic_score_codex":0.0016869297,"about_ca_topic_score_gemma":0.0007925829,"teacher_disagreement_score":0.0043061236,"about_ca_system_score_codex":0.001430331,"about_ca_system_score_gemma":0.0010804222,"threshold_uncertainty_score":0.022773206},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.13856754361228205,"score_gpt":0.3722143892037407,"score_spread":0.23364684559145868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157910168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07141609,0.00069048704,0.90269023,0.0007967925,0.00020838589,0.000075255884,0.0001995339,0.00009550287,0.023827814],"genre_scores_gemma":[0.80399793,0.0021149449,0.16056775,0.0011982325,0.00084917306,0.00050009013,0.0008436016,0.00027554051,0.02965268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957306,0.0020567125,0.0001608879,0.0005803429,0.0010838242,0.00038769268],"domain_scores_gemma":[0.9882683,0.00693509,0.0013539435,0.00090728025,0.0018852525,0.000650183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004493687,0.0013767233,0.00085873,0.0025434266,0.0012888242,0.0020520955,0.0012704857,0.0010269113,0.0069851927],"category_scores_gemma":[0.023630414,0.0004990291,0.00095904263,0.0020723457,0.0037984252,0.004959672,0.0043165344,0.004307442,0.0012287134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029302992,0.0000127759895,0.00086842844,0.00004455917,0.000012883059,0.00009128921,0.000059630627,0.005481434,0.000747921,0.9877386,0.00052382704,0.0043893126],"study_design_scores_gemma":[0.000016286482,0.00006442258,0.0008855977,0.00008288424,0.000027095839,0.00019242865,0.000055375538,0.08798999,0.0012362137,0.90451795,0.0049002524,0.000031546857],"about_ca_topic_score_codex":0.0009097847,"about_ca_topic_score_gemma":0.0006787854,"teacher_disagreement_score":0.0069851927,"about_ca_system_score_codex":0.0013475554,"about_ca_system_score_gemma":0.0010243728,"threshold_uncertainty_score":0.023765147},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.10470994763975837,"score_gpt":0.3777022210930024,"score_spread":0.272992273453244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203127082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15196349,0.0003675071,0.8385926,0.0013141833,0.00007703228,0.00010103342,0.0002123247,0.00016351728,0.007208225],"genre_scores_gemma":[0.96004814,0.00029001196,0.03415703,0.00010642604,0.00009091502,0.00012707051,0.00012923245,0.0000369565,0.0050142007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978157,0.0010180785,0.00008713532,0.00020653679,0.0006328886,0.00023951192],"domain_scores_gemma":[0.99056447,0.006239718,0.0012710822,0.0007116789,0.00066611404,0.0005469965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006627506,0.00055832055,0.00097277836,0.0006200103,0.00042365532,0.0016468571,0.0020005857,0.0021701027,0.0038034548],"category_scores_gemma":[0.030073158,0.0004716419,0.0008493691,0.00067932834,0.0018380485,0.0034878382,0.0013605335,0.0022272395,0.0002793651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017464033,0.00006923221,0.0016880687,0.00006458359,0.000035481484,0.00024586977,0.00017891245,0.18679,0.0014238192,0.79570365,0.0012043691,0.012421396],"study_design_scores_gemma":[0.0000693549,0.00007969875,0.00068209856,0.000015600917,0.000011359666,0.00012020354,0.000032893047,0.81376165,0.00032729693,0.18408348,0.0007953878,0.000021010834],"about_ca_topic_score_codex":0.0011235494,"about_ca_topic_score_gemma":0.0006973735,"teacher_disagreement_score":0.006627506,"about_ca_system_score_codex":0.0013194953,"about_ca_system_score_gemma":0.0012582588,"threshold_uncertainty_score":0.035049975},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.12579334141512472,"score_gpt":0.32704601018239365,"score_spread":0.20125266876726894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588034453","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018512696,0.0001691585,0.98065346,0.000047965365,0.000016569085,0.000022984028,0.00003545159,0.00012427394,0.00041744014],"genre_scores_gemma":[0.3793198,0.00067262026,0.6165334,0.00012314711,0.000116614145,0.0003144243,0.00048613493,0.00016105956,0.0022728217],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99713135,0.0014852075,0.00017513588,0.00043962648,0.00061894034,0.00014974995],"domain_scores_gemma":[0.9897193,0.0062933834,0.0009396544,0.0011050194,0.00175737,0.00018541348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071482393,0.00069941184,0.0011801758,0.0020802696,0.00026977964,0.0014994587,0.0013704723,0.001305238,0.0016947025],"category_scores_gemma":[0.0339482,0.00048134653,0.0011054466,0.0012473637,0.0009801193,0.0030074925,0.0022766828,0.0018943686,0.0005520715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038658295,0.00018184818,0.016781941,0.00046415263,0.00049143564,0.0003737939,0.0006780085,0.3790108,0.027891228,0.16150491,0.0022840863,0.4099512],"study_design_scores_gemma":[0.00004255371,0.00011111174,0.004016017,0.00004452078,0.00006767419,0.00023875604,0.00005140222,0.94317764,0.005256913,0.04481062,0.002091574,0.0000911781],"about_ca_topic_score_codex":0.0006387097,"about_ca_topic_score_gemma":0.00046000717,"teacher_disagreement_score":0.0071482393,"about_ca_system_score_codex":0.00052522175,"about_ca_system_score_gemma":0.00082744064,"threshold_uncertainty_score":0.037803948},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07820466112712139,"score_gpt":0.37145354358754895,"score_spread":0.2932488824604276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588902133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019328412,0.0004842584,0.9783297,0.00008140742,0.000023115796,0.00005615154,0.000049334816,0.00018688553,0.0014607023],"genre_scores_gemma":[0.7566573,0.0013326339,0.2360818,0.0001242531,0.00024653904,0.0004166801,0.00036813223,0.00017431792,0.0045983037],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961429,0.0014472789,0.0001846983,0.0006527411,0.0013082972,0.00026422017],"domain_scores_gemma":[0.9900879,0.005349529,0.0010758437,0.0014053887,0.001927462,0.00015380021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011680662,0.0014207595,0.0017237681,0.0035006478,0.0005756705,0.0013908858,0.0016050065,0.00089461997,0.0024178133],"category_scores_gemma":[0.025071632,0.00057505333,0.0015077672,0.0022365756,0.0012258552,0.0026632256,0.0022436257,0.0011240789,0.0011445546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003126199,0.0001008187,0.012186052,0.00062482647,0.00035543833,0.0006037446,0.0008478867,0.39513338,0.0143227335,0.16209143,0.0023289383,0.4110921],"study_design_scores_gemma":[0.000017485929,0.00031552874,0.0066237077,0.000102177604,0.00015712142,0.0004623723,0.00016588622,0.8802661,0.006534124,0.10055635,0.0046616253,0.0001375266],"about_ca_topic_score_codex":0.0010485412,"about_ca_topic_score_gemma":0.0006700487,"teacher_disagreement_score":0.011680662,"about_ca_system_score_codex":0.0007087218,"about_ca_system_score_gemma":0.00082166493,"threshold_uncertainty_score":0.061774015},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.48158900082579525,"score_gpt":0.4842235657961363,"score_spread":0.0026345649703410357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802600931","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033668365,0.0028210138,0.9519825,0.0021625194,0.00030358907,0.00027261864,0.00093322614,0.0007481985,0.007108014],"genre_scores_gemma":[0.6649138,0.008261835,0.27679557,0.0027027454,0.001769117,0.0036136492,0.0035866974,0.0012311437,0.037125513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9861254,0.0063109663,0.0009117432,0.002580004,0.0030713112,0.001000431],"domain_scores_gemma":[0.84802586,0.12032197,0.011729447,0.0081849145,0.008301738,0.0034360508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.040614065,0.0017620827,0.0044339695,0.00556287,0.001973791,0.0046162875,0.0052696182,0.003703118,0.012619909],"category_scores_gemma":[0.18494345,0.0018436523,0.0037435421,0.003956747,0.006775704,0.011475487,0.0050151716,0.0073317057,0.0019900259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011819191,0.00006096514,0.0049140463,0.0003991974,0.00014992226,0.00078695733,0.0008436071,0.057138275,0.0007363102,0.91726714,0.002703749,0.014881578],"study_design_scores_gemma":[0.000049980008,0.00008120258,0.0017724313,0.00020025311,0.000069422014,0.0005938679,0.00018260059,0.4524148,0.0004998848,0.54110444,0.002940012,0.00009112454],"about_ca_topic_score_codex":0.008125447,"about_ca_topic_score_gemma":0.0039934143,"teacher_disagreement_score":0.040614065,"about_ca_system_score_codex":0.0034376788,"about_ca_system_score_gemma":0.0023455645,"threshold_uncertainty_score":0.21479028},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.052543924702869636,"score_gpt":0.3328979019676273,"score_spread":0.2803539772647577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971783902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02556996,0.00044261254,0.9731203,0.000084750056,0.000021683361,0.000025322148,0.000039725488,0.00011592822,0.0005797312],"genre_scores_gemma":[0.7425251,0.0011285851,0.25465113,0.00007570659,0.00015623438,0.0002391315,0.00041522743,0.00011103269,0.0006978923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959661,0.0022877983,0.00014158392,0.00052876386,0.00089914066,0.00017663575],"domain_scores_gemma":[0.9667873,0.026849193,0.0019745745,0.0018837462,0.0021989727,0.00030623563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009543471,0.00084628386,0.0010748534,0.002575586,0.0005078263,0.0011882455,0.0016265915,0.0012589392,0.0016770661],"category_scores_gemma":[0.055725582,0.0003504832,0.0011232225,0.0012956643,0.0017765716,0.002484202,0.0018389636,0.0017553428,0.00028081407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004976397,0.00010390634,0.018524481,0.0005783064,0.0002333959,0.00066296454,0.0010633691,0.3159555,0.011295578,0.4210908,0.0025728846,0.22742122],"study_design_scores_gemma":[0.00005090849,0.00011998076,0.004034241,0.00008749488,0.000054601212,0.0003560701,0.0001231219,0.91090304,0.003996082,0.0781134,0.0020862818,0.00007482678],"about_ca_topic_score_codex":0.0010958804,"about_ca_topic_score_gemma":0.00058238744,"teacher_disagreement_score":0.009543471,"about_ca_system_score_codex":0.0006267432,"about_ca_system_score_gemma":0.00075798924,"threshold_uncertainty_score":0.050471246},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.061071809681222666,"score_gpt":0.3428770728221685,"score_spread":0.28180526314094584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042311615","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014657731,0.0012993191,0.9784066,0.00081167254,0.00009898281,0.000046855264,0.0001550887,0.00017409441,0.004349667],"genre_scores_gemma":[0.736773,0.0059900694,0.24120888,0.0006713978,0.0007023835,0.00058910024,0.00096144393,0.0002421524,0.012861574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982462,0.0007880342,0.000067756315,0.0002689292,0.00049711316,0.00013205479],"domain_scores_gemma":[0.9919208,0.0058414503,0.000478566,0.00050883123,0.0010368007,0.00021354192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051606246,0.00074428605,0.00094364217,0.0025839305,0.0006745215,0.0017204874,0.0013800018,0.0014344048,0.0036209216],"category_scores_gemma":[0.020670014,0.0004587139,0.0013459912,0.0017333324,0.0022324251,0.0021748834,0.0015065452,0.0025011445,0.00073372526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065244385,0.000058375248,0.0043143323,0.00016618369,0.00007470574,0.0004054566,0.00031370675,0.16855115,0.0014333561,0.75194955,0.0048281173,0.06783981],"study_design_scores_gemma":[0.00001872092,0.000040474344,0.00093489705,0.000043444255,0.0000138468195,0.0003164303,0.000081277954,0.77181304,0.0005389967,0.21995431,0.0062036696,0.00004083951],"about_ca_topic_score_codex":0.0029175917,"about_ca_topic_score_gemma":0.0011079272,"teacher_disagreement_score":0.0051606246,"about_ca_system_score_codex":0.0014209334,"about_ca_system_score_gemma":0.0009541538,"threshold_uncertainty_score":0.02729237},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.057786548225364734,"score_gpt":0.31990851366771966,"score_spread":0.26212196544235494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043154097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02934705,0.00081701635,0.9660683,0.00053570786,0.000074161064,0.000057948473,0.00012931415,0.00018405523,0.0027863986],"genre_scores_gemma":[0.66586053,0.0023542366,0.31804177,0.00089128606,0.0005033709,0.0004976595,0.0007936261,0.00029066423,0.01076683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997015,0.0012912246,0.0001335523,0.00054285466,0.0008145298,0.0002028695],"domain_scores_gemma":[0.9858436,0.008532049,0.0017063593,0.0014375468,0.002071971,0.00040838055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064006783,0.0007419314,0.0009348125,0.002428258,0.0009663206,0.0018454135,0.0022700182,0.0017385646,0.0041679023],"category_scores_gemma":[0.031129707,0.00046702768,0.00092489965,0.00217174,0.0020152675,0.0047226413,0.0022003036,0.0017374107,0.0009896896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013437938,0.000066346045,0.006735219,0.00018222842,0.00008642038,0.00040604142,0.000313898,0.099247485,0.0037853362,0.81046367,0.0032237645,0.0753551],"study_design_scores_gemma":[0.000029554058,0.000071281436,0.0015946656,0.00007168153,0.000026844273,0.00047713707,0.00009935664,0.5462905,0.0014002323,0.4434067,0.006457373,0.00007461096],"about_ca_topic_score_codex":0.0015808232,"about_ca_topic_score_gemma":0.0012574891,"teacher_disagreement_score":0.0064006783,"about_ca_system_score_codex":0.0015828845,"about_ca_system_score_gemma":0.0010328699,"threshold_uncertainty_score":0.03385043},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.16830828381852903,"score_gpt":0.3784027758765032,"score_spread":0.21009449205797415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043216890","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012119897,0.00096532627,0.97815543,0.00072864984,0.00017602781,0.000063723746,0.0000607439,0.0000835906,0.0076465737],"genre_scores_gemma":[0.57184786,0.0055605923,0.3898132,0.002007073,0.0019099704,0.0018390319,0.00030975236,0.0003526778,0.026359806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955973,0.0018427008,0.00028138308,0.0005580811,0.00140092,0.00031955141],"domain_scores_gemma":[0.9850435,0.010373003,0.001161674,0.0009586074,0.001715527,0.00074772816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014151515,0.0019738746,0.0016570772,0.003424357,0.0011949053,0.0041309795,0.0030810956,0.002007178,0.0041984804],"category_scores_gemma":[0.025231274,0.0008373967,0.003034791,0.0018472114,0.004505667,0.009290738,0.0053308853,0.0051621594,0.0006482577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016059323,0.000018238463,0.00015361673,0.000103613296,0.00004756288,0.00009488308,0.00009124512,0.006355004,0.0010220411,0.9876222,0.0004025267,0.004072974],"study_design_scores_gemma":[0.000016978522,0.00006243087,0.00018122498,0.00004564696,0.000031797346,0.0001301593,0.00003690823,0.08935652,0.0008929659,0.9069651,0.0022570395,0.000023330778],"about_ca_topic_score_codex":0.00039367971,"about_ca_topic_score_gemma":0.00039167347,"teacher_disagreement_score":0.014151515,"about_ca_system_score_codex":0.0017881835,"about_ca_system_score_gemma":0.0011912658,"threshold_uncertainty_score":0.07484126},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.30316689768632754,"score_gpt":0.38366904354786213,"score_spread":0.08050214586153459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045721162","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059006333,0.0032129518,0.93426794,0.00029309004,0.00008558357,0.00011340793,0.00015424138,0.00043096198,0.002435421],"genre_scores_gemma":[0.59486,0.0020662334,0.40014657,0.00013370531,0.00014753143,0.00029322616,0.0005893372,0.00026047984,0.0015029189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97019,0.01674228,0.0014493333,0.0026331027,0.0081764385,0.00080892845],"domain_scores_gemma":[0.81389797,0.15341586,0.005014958,0.014086059,0.013053257,0.00053185207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039586693,0.0008614874,0.0016693654,0.0035435539,0.00049820996,0.0018633566,0.0023472335,0.0023461874,0.0016054804],"category_scores_gemma":[0.19550318,0.00057704415,0.0014596225,0.0016432311,0.002011996,0.0027096944,0.002543688,0.0016331145,0.00061017286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026438334,0.00014539719,0.038840994,0.0014410097,0.00084899255,0.00033293478,0.0012173776,0.4864014,0.011440986,0.08856013,0.0018123416,0.36631465],"study_design_scores_gemma":[0.00008174738,0.0005506932,0.012412667,0.0002691138,0.00021103294,0.0007176813,0.000200205,0.94022864,0.012630589,0.02990647,0.0026393726,0.00015178071],"about_ca_topic_score_codex":0.002396163,"about_ca_topic_score_gemma":0.0008877419,"teacher_disagreement_score":0.039586693,"about_ca_system_score_codex":0.0011169949,"about_ca_system_score_gemma":0.0008682544,"threshold_uncertainty_score":0.20935696},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.15083294136905165,"score_gpt":0.39639782743700924,"score_spread":0.2455648860679576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312280929","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02042965,0.0014526261,0.9739325,0.00053984416,0.00014951221,0.0001417977,0.00042624222,0.00046100633,0.0024669068],"genre_scores_gemma":[0.5201327,0.0040576872,0.45616543,0.0015693776,0.0008156683,0.0018431434,0.0034233863,0.00041805388,0.0115744425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99292165,0.0028679874,0.00043567593,0.0016358093,0.0018613097,0.00027762106],"domain_scores_gemma":[0.9747994,0.017434115,0.0026886554,0.0021021005,0.002436466,0.0005392281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011427385,0.0008697332,0.0013661959,0.0032172548,0.001174363,0.0025447179,0.0027558436,0.0018320376,0.0042890166],"category_scores_gemma":[0.038723793,0.00049436145,0.001024646,0.0030334669,0.0030730534,0.0055724317,0.0018205183,0.0024381308,0.0014485174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028701712,0.000111097,0.027423585,0.0009159037,0.00025402603,0.0018770797,0.0009998048,0.04611845,0.0071809287,0.78487724,0.008406693,0.12154822],"study_design_scores_gemma":[0.00007377123,0.00020686162,0.010105928,0.00025030843,0.00010934972,0.0041247956,0.00041222727,0.3263403,0.0023344534,0.632694,0.023137024,0.00021097984],"about_ca_topic_score_codex":0.0017454994,"about_ca_topic_score_gemma":0.0015748297,"teacher_disagreement_score":0.011427385,"about_ca_system_score_codex":0.0016806776,"about_ca_system_score_gemma":0.0015558434,"threshold_uncertainty_score":0.06043452},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mathematics; Linear differential equation; Differential equation; Algebra over a field; Mathematical analysis; Pure mathematics","score_opus":0.08273689629063179,"score_gpt":0.33227953309908415,"score_spread":0.24954263680845234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321067043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17815836,0.0064400993,0.6630864,0.012349965,0.0016781667,0.00015530862,0.00040150902,0.00017749221,0.13755268],"genre_scores_gemma":[0.9220885,0.0020371226,0.031238211,0.0007917425,0.0008129214,0.00010809439,0.00015534242,0.00007194331,0.04269616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993716,0.00018392807,0.000025952777,0.00007690257,0.0002613293,0.000080203325],"domain_scores_gemma":[0.99935335,0.00031589856,0.00007166194,0.000030058263,0.00016526923,0.000063730695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011555947,0.0007018359,0.0011601378,0.0010459113,0.0008911658,0.0014158025,0.0008739271,0.0022045076,0.0040433626],"category_scores_gemma":[0.0027133385,0.0003071346,0.00092094124,0.0009071278,0.0020397583,0.0015762832,0.0016687354,0.0016213221,0.00037496912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029505949,0.00004095273,0.0002746018,0.00008194745,0.000017568105,0.00030402432,0.00016437366,0.061692964,0.002467148,0.9297686,0.0016513076,0.0035070244],"study_design_scores_gemma":[0.000035365658,0.000041310424,0.00037432657,0.00004584489,0.000017823208,0.00016823359,0.00007113636,0.54338264,0.00070426404,0.45106682,0.0040602824,0.000031869262],"about_ca_topic_score_codex":0.0058675963,"about_ca_topic_score_gemma":0.0027227367,"teacher_disagreement_score":0.0058675963,"about_ca_system_score_codex":0.0016684994,"about_ca_system_score_gemma":0.0012636882,"threshold_uncertainty_score":0.01352644},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.22868594192605265,"score_gpt":0.48153214201739536,"score_spread":0.25284620009134273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377230593","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013797458,0.0010813711,0.98214597,0.00012210698,0.00007596667,0.0001961997,0.00030178393,0.0003810841,0.0018980002],"genre_scores_gemma":[0.30387455,0.0016367037,0.6887621,0.00027183737,0.00023751447,0.0016733431,0.0012776724,0.00018051306,0.0020858324],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9810554,0.009805576,0.0012108795,0.0027121822,0.004815483,0.0004004738],"domain_scores_gemma":[0.9446318,0.04302775,0.0043012826,0.0030145417,0.004534835,0.00048976287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018975222,0.001668532,0.0019755382,0.0062862905,0.0007963219,0.0015832771,0.002936272,0.0018935349,0.0034418227],"category_scores_gemma":[0.08745106,0.00063624425,0.0019309269,0.0038473455,0.0025897536,0.0026622051,0.0017819547,0.0024236066,0.00075948925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058795087,0.00033887307,0.043314297,0.0016361548,0.001445531,0.00049450167,0.00072331016,0.14198051,0.0060654506,0.21828294,0.005426115,0.57970434],"study_design_scores_gemma":[0.00022004664,0.0006952922,0.025782293,0.00059689116,0.0004047239,0.0015609233,0.0004387073,0.7702709,0.009825014,0.17904854,0.010810957,0.00034581422],"about_ca_topic_score_codex":0.0028929352,"about_ca_topic_score_gemma":0.0020393468,"teacher_disagreement_score":0.018975222,"about_ca_system_score_codex":0.0011972659,"about_ca_system_score_gemma":0.0024638753,"threshold_uncertainty_score":0.10035181},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05106870634339987,"score_gpt":0.3599141913072084,"score_spread":0.30884548496380854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389103021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.507172,0.0011458135,0.4497512,0.0038142912,0.0003821327,0.00012944767,0.00019341771,0.000112031244,0.037299763],"genre_scores_gemma":[0.9528935,0.00039178616,0.036936376,0.00024075426,0.00011425345,0.000086676904,0.00011595953,0.000048871814,0.009171838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995989,0.000138042,0.00002003549,0.00007594689,0.00009558498,0.00007146719],"domain_scores_gemma":[0.9992434,0.00039596643,0.00008995946,0.000054687833,0.00010553849,0.00011049417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011085016,0.00054810266,0.0010061244,0.00087659835,0.00081455946,0.002520001,0.0009825114,0.0026294359,0.0039443276],"category_scores_gemma":[0.0029725614,0.00034731452,0.0005740008,0.000441659,0.0033039625,0.0019453188,0.0018598029,0.0013035733,0.0002632052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043323493,0.00024627562,0.0015505096,0.00033847953,0.00005241921,0.0016591906,0.00046977767,0.180005,0.01749916,0.78685915,0.0015964338,0.00929034],"study_design_scores_gemma":[0.00012577292,0.00009654948,0.0004570473,0.000049463415,0.000011649049,0.00037756766,0.0003571953,0.79263806,0.0028859393,0.2009656,0.0019991624,0.000036040045],"about_ca_topic_score_codex":0.0014708842,"about_ca_topic_score_gemma":0.00044307607,"teacher_disagreement_score":0.0039443276,"about_ca_system_score_codex":0.0010290684,"about_ca_system_score_gemma":0.00065884466,"threshold_uncertainty_score":0.013195097},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.14370412615262465,"score_gpt":0.39971216147437233,"score_spread":0.25600803532174765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389576601","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035979576,0.0020857465,0.9572829,0.00019820496,0.00010144764,0.00017002477,0.000423168,0.0009229011,0.002836028],"genre_scores_gemma":[0.5761026,0.0014855457,0.41859317,0.0001556192,0.0002418322,0.0009949304,0.0014287155,0.00021770305,0.00077986077],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98557645,0.00798875,0.0007201047,0.0019370979,0.0034127359,0.00036486032],"domain_scores_gemma":[0.81725115,0.15545255,0.008375617,0.007635531,0.010302759,0.0009824203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022847364,0.001171631,0.0013951542,0.0059427707,0.0007273864,0.0021633294,0.0035497118,0.0021279622,0.003929656],"category_scores_gemma":[0.20751189,0.00040615353,0.0017236023,0.003547496,0.00201267,0.003401285,0.002370432,0.0034146882,0.00069928286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001226084,0.00030159877,0.04094105,0.0014977569,0.0008078341,0.0007915019,0.0012509514,0.35095316,0.0059806043,0.18892547,0.0060067093,0.40131727],"study_design_scores_gemma":[0.00011208523,0.0003336553,0.01802459,0.00060882815,0.00017720248,0.0010417273,0.0005187135,0.8942763,0.005365053,0.07374345,0.0055635534,0.0002347742],"about_ca_topic_score_codex":0.002053214,"about_ca_topic_score_gemma":0.0011540904,"teacher_disagreement_score":0.022847364,"about_ca_system_score_codex":0.0010544609,"about_ca_system_score_gemma":0.0011357069,"threshold_uncertainty_score":0.12082988},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.08176443579949462,"score_gpt":0.36847258102111885,"score_spread":0.28670814522162424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389576606","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04086855,0.00047406583,0.950009,0.00041617753,0.00013314276,0.00013961495,0.00032816335,0.00033961915,0.007291546],"genre_scores_gemma":[0.88493174,0.0014138011,0.09595143,0.00042423338,0.00032125178,0.00048054705,0.00082522887,0.00016391075,0.015487969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965875,0.0009932318,0.0002072549,0.000733943,0.0011371559,0.00034081447],"domain_scores_gemma":[0.9903841,0.004297519,0.001148142,0.0012250158,0.00274871,0.00019639304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052595995,0.00084355375,0.00097277004,0.0028195397,0.0007040687,0.002235884,0.0019205988,0.0012043994,0.0059645087],"category_scores_gemma":[0.016268393,0.00039038944,0.0013421695,0.0025323515,0.0017687542,0.0035675534,0.0010725228,0.0021888784,0.001813104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000324107,0.00017456888,0.026047677,0.00038115392,0.00019972606,0.002188717,0.0007191017,0.2739117,0.009801881,0.5051066,0.009227568,0.17191727],"study_design_scores_gemma":[0.000054172982,0.0001938491,0.0068714633,0.0001187674,0.000045713514,0.0015716826,0.00024306355,0.7289482,0.003001901,0.24549083,0.013386677,0.00007372804],"about_ca_topic_score_codex":0.0014669466,"about_ca_topic_score_gemma":0.0008172971,"teacher_disagreement_score":0.0059645087,"about_ca_system_score_codex":0.0015505207,"about_ca_system_score_gemma":0.0009569884,"threshold_uncertainty_score":0.02781576},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.11094569131038148,"score_gpt":0.3319030635958902,"score_spread":0.22095737228550874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389576621","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040327046,0.00038698356,0.9572189,0.00018182653,0.000023091112,0.000042099007,0.000121037825,0.000121711724,0.0015772999],"genre_scores_gemma":[0.90237445,0.0008169172,0.09347108,0.00014126462,0.00009250297,0.00022613154,0.0006991956,0.00011768439,0.0020607347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967969,0.0015022164,0.00015334155,0.00047839628,0.0008595035,0.00020968182],"domain_scores_gemma":[0.97103375,0.021787334,0.0019955111,0.0018223427,0.0031269796,0.00023415739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007012702,0.0006347882,0.0009079639,0.0020905293,0.00046107988,0.0012603716,0.0014937802,0.0011923602,0.0024844336],"category_scores_gemma":[0.058927104,0.00042296428,0.0010567482,0.0016213722,0.001336637,0.0025726906,0.0016616043,0.0014010165,0.00052564475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035020043,0.00009975031,0.026832646,0.00042455154,0.00018770182,0.00092490757,0.0007458321,0.35356525,0.011229158,0.4837574,0.003117587,0.11876504],"study_design_scores_gemma":[0.000025423644,0.00005507052,0.0035440181,0.00007355348,0.000024513769,0.00045203554,0.000068719426,0.8875909,0.0018044653,0.104862966,0.0014529622,0.000045351124],"about_ca_topic_score_codex":0.0017666211,"about_ca_topic_score_gemma":0.0005784952,"teacher_disagreement_score":0.007012702,"about_ca_system_score_codex":0.0005310572,"about_ca_system_score_gemma":0.0009189432,"threshold_uncertainty_score":0.037087142},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Estimation; Climatology; Statistics; Econometrics; Geology","score_opus":0.03500169108566745,"score_gpt":0.2778721393570395,"score_spread":0.24287044827137208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392804888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008516114,0.00020710309,0.9907526,0.000117631535,0.000006328729,0.000009862382,0.000024993065,0.00006161673,0.00030364128],"genre_scores_gemma":[0.58546185,0.0020380751,0.4104169,0.00009456765,0.00015037443,0.0002888625,0.0002437157,0.00010741386,0.0011982237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838233,0.0010527096,0.00008281671,0.00022353412,0.000189246,0.00006936873],"domain_scores_gemma":[0.9898498,0.008719096,0.00079556985,0.00025436975,0.00030818745,0.000072913674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047845426,0.00092448946,0.0008387583,0.0016557423,0.0005113417,0.0012843797,0.001213503,0.0012638506,0.0008978097],"category_scores_gemma":[0.020863593,0.0005961134,0.0012933151,0.002200626,0.0012372407,0.0022103882,0.0014688392,0.0018947474,0.00021824912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015649812,0.000024739282,0.0025267166,0.00010451985,0.000052580795,0.00019794474,0.00018243524,0.9330866,0.00086391944,0.04316961,0.00021894569,0.019556401],"study_design_scores_gemma":[0.0000025343268,0.000013228213,0.0004429287,0.000017875698,0.000008160585,0.00006376309,0.00003217337,0.9731339,0.00020416334,0.025728742,0.00033778313,0.000014692219],"about_ca_topic_score_codex":0.004015233,"about_ca_topic_score_gemma":0.0020454698,"teacher_disagreement_score":0.0047845426,"about_ca_system_score_codex":0.0007154267,"about_ca_system_score_gemma":0.0009961744,"threshold_uncertainty_score":0.025303364},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05858403767190876,"score_gpt":0.3506290524144389,"score_spread":0.29204501474253014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392823309","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045256796,0.0003637247,0.9941976,0.00012263934,0.000054082346,0.000036315607,0.000032544503,0.00008000891,0.0005873422],"genre_scores_gemma":[0.30340645,0.0024558888,0.68770194,0.00030457767,0.0005045997,0.0005662308,0.0004863759,0.0002632389,0.004310766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947884,0.0036261587,0.00016838095,0.00045494476,0.00077659154,0.00018550524],"domain_scores_gemma":[0.96290654,0.029934442,0.0013593675,0.00184772,0.0036780885,0.0002738282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017076448,0.0009327022,0.0013403466,0.0030906084,0.00059427996,0.0017460755,0.0032377478,0.0012733466,0.002397277],"category_scores_gemma":[0.06401804,0.00066129526,0.0013285428,0.0023378269,0.0025262558,0.0028016916,0.0021320253,0.0037945297,0.0009458258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003086204,0.00013443205,0.006701699,0.0004245992,0.00018762043,0.000399956,0.0005613951,0.42952853,0.0024593964,0.42546934,0.0039833137,0.12984107],"study_design_scores_gemma":[0.00001825928,0.000037576894,0.000684407,0.00006319251,0.000015222161,0.00010577808,0.000058055928,0.9411115,0.0005670266,0.055368457,0.0019453287,0.000025239677],"about_ca_topic_score_codex":0.0046597696,"about_ca_topic_score_gemma":0.0026931418,"teacher_disagreement_score":0.017076448,"about_ca_system_score_codex":0.0014112345,"about_ca_system_score_gemma":0.0017685278,"threshold_uncertainty_score":0.09030998},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04011663520160773,"score_gpt":0.2827471283570652,"score_spread":0.24263049315545748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392826065","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015502999,0.00013611423,0.997841,0.00004391155,0.000024557394,0.000022131193,0.000012926172,0.00015688811,0.000212117],"genre_scores_gemma":[0.04997277,0.0002784758,0.9471791,0.00010775382,0.00006484616,0.00015004774,0.00023531783,0.000166204,0.0018456097],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983393,0.0004421516,0.000079515936,0.00040739184,0.00064583914,0.0000857105],"domain_scores_gemma":[0.99885476,0.00045494843,0.00008780846,0.0001687313,0.00038946696,0.00004432162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021258672,0.0009405078,0.0014308017,0.0019564712,0.0010510229,0.0012141602,0.0027568804,0.0020916008,0.0016021156],"category_scores_gemma":[0.004630105,0.00079165486,0.0017939209,0.0019477265,0.0007956192,0.0023938573,0.0013965779,0.0021318041,0.0013839423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023399925,0.00017189872,0.0019214673,0.0003311656,0.00037922506,0.00012638647,0.00034364025,0.32574427,0.02355565,0.044598255,0.005591586,0.59700245],"study_design_scores_gemma":[0.000013262012,0.00004866737,0.0004473789,0.000015779473,0.000043076747,0.00014145984,0.000026296777,0.980941,0.0037030594,0.010766836,0.00380701,0.00004625102],"about_ca_topic_score_codex":0.00554868,"about_ca_topic_score_gemma":0.0062993956,"teacher_disagreement_score":0.00554868,"about_ca_system_score_codex":0.0008490365,"about_ca_system_score_gemma":0.0012157989,"threshold_uncertainty_score":0.011242807},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05156078303996827,"score_gpt":0.36051820621193215,"score_spread":0.3089574231719639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392826633","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008288734,0.000496593,0.9899525,0.000103252976,0.000018154595,0.00001573688,0.0000551003,0.000119778975,0.00095020875],"genre_scores_gemma":[0.6517959,0.0032638547,0.33992106,0.00016510868,0.00019622217,0.00022010616,0.00079945836,0.00016830045,0.0034700106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985581,0.000598607,0.00005444994,0.00022947072,0.00047708277,0.00008226339],"domain_scores_gemma":[0.99660337,0.0024161215,0.0002646104,0.00024063015,0.0004229313,0.000052392934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033614184,0.0006731896,0.0009383355,0.0014736167,0.00049196614,0.0011475917,0.0012102132,0.0009526378,0.0017423069],"category_scores_gemma":[0.014992325,0.00045565979,0.00068546034,0.0013790946,0.0008354895,0.0019590717,0.0010576048,0.0016712452,0.00066716026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008091657,0.000055855733,0.0039203404,0.00023110813,0.00006485932,0.00013883617,0.00019751728,0.73424494,0.0025193542,0.10287605,0.0021408454,0.15352933],"study_design_scores_gemma":[0.0000048956217,0.000011423432,0.0006748746,0.00002975886,0.000009834867,0.00005635866,0.000018830606,0.96574813,0.00055137736,0.032134634,0.00074393436,0.00001590309],"about_ca_topic_score_codex":0.004394057,"about_ca_topic_score_gemma":0.0030619274,"teacher_disagreement_score":0.004394057,"about_ca_system_score_codex":0.0007813348,"about_ca_system_score_gemma":0.0009094705,"threshold_uncertainty_score":0.017777085},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.17483360034277134,"score_gpt":0.3897920417915238,"score_spread":0.21495844144875248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392826817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051848993,0.0012288244,0.91777766,0.0013332453,0.0001472951,0.00009040925,0.00020097614,0.00007642925,0.027296143],"genre_scores_gemma":[0.89376646,0.0010868529,0.094110444,0.0007930214,0.00040587943,0.00032538615,0.00024055544,0.00007056275,0.009200824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9917337,0.0027854785,0.0004670127,0.0010882696,0.002988948,0.0009366063],"domain_scores_gemma":[0.9717253,0.020776285,0.0017982017,0.0020175823,0.0029564411,0.0007262316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008412799,0.0008112477,0.0010455681,0.0019176762,0.0011083246,0.0026785617,0.0021847726,0.0018157192,0.004792985],"category_scores_gemma":[0.028958488,0.0003883033,0.001402817,0.0012909534,0.0055743586,0.0049653444,0.0024682507,0.003809565,0.00043280967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019942314,0.000008359033,0.0003591185,0.00003295158,0.000012434758,0.00011561077,0.00008752655,0.012377737,0.0005372635,0.98141,0.00041790085,0.004621135],"study_design_scores_gemma":[0.000011907085,0.000035280777,0.0004884561,0.000038721235,0.000009372434,0.00013777878,0.000052486444,0.075613156,0.0006528145,0.92037743,0.0025543042,0.000028209468],"about_ca_topic_score_codex":0.0025149276,"about_ca_topic_score_gemma":0.0014467349,"teacher_disagreement_score":0.008412799,"about_ca_system_score_codex":0.0022073677,"about_ca_system_score_gemma":0.0011037035,"threshold_uncertainty_score":0.04449165},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07041011079819433,"score_gpt":0.356595005362067,"score_spread":0.2861848945638727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401809883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16432425,0.0007479154,0.8314636,0.00055140274,0.000068493006,0.00016867582,0.00028697075,0.0004010464,0.0019876272],"genre_scores_gemma":[0.87670904,0.00071597385,0.11785219,0.00014154741,0.00008215098,0.0003391753,0.00068653695,0.0001093436,0.0033639865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979893,0.0012289995,0.00007062664,0.00025692725,0.0003201112,0.0001339738],"domain_scores_gemma":[0.9819827,0.014286441,0.0008696263,0.00095836853,0.001601319,0.00030154333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010102053,0.00075067696,0.0007933518,0.0032483742,0.0007298239,0.0015277694,0.0022967008,0.001441949,0.0034002464],"category_scores_gemma":[0.02793906,0.00029339548,0.001318514,0.0028296905,0.0014442778,0.0029569103,0.0015112557,0.00195038,0.00054801704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048792356,0.00022815843,0.021776587,0.00025113003,0.00014541202,0.00077098934,0.00058422564,0.7336343,0.002054724,0.13211258,0.0024991026,0.10545483],"study_design_scores_gemma":[0.000018340375,0.000076115386,0.0020183097,0.000026739022,0.000016217495,0.00015020512,0.00009145848,0.9799842,0.00047962563,0.016346043,0.00076225103,0.000030515524],"about_ca_topic_score_codex":0.0041227625,"about_ca_topic_score_gemma":0.0019498095,"teacher_disagreement_score":0.010102053,"about_ca_system_score_codex":0.0015247922,"about_ca_system_score_gemma":0.0009840033,"threshold_uncertainty_score":0.05342537},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.11056149989913079,"score_gpt":0.3878908150269605,"score_spread":0.2773293151278297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405801372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05990731,0.00018089231,0.9362813,0.0003659398,0.00007828041,0.00009067455,0.00021020691,0.00021218334,0.002673131],"genre_scores_gemma":[0.85476863,0.0006493846,0.12685144,0.00019565546,0.00014623957,0.00033097045,0.00042024459,0.000070675844,0.016566731],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978011,0.00081280514,0.000111866975,0.000525639,0.0005418458,0.00020684836],"domain_scores_gemma":[0.99291515,0.003954727,0.0016425973,0.0005156668,0.00080414955,0.00016774122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071185837,0.00081853045,0.0011660141,0.0012967533,0.0005589467,0.0020840673,0.0038074283,0.0019153075,0.0048036734],"category_scores_gemma":[0.013993913,0.0005839095,0.0010753506,0.0019307506,0.0019921863,0.003054648,0.0011512476,0.002252341,0.0007837225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014914203,0.00014005373,0.009525821,0.00020144852,0.00007492047,0.0008107501,0.00038664727,0.42009434,0.004768559,0.5280583,0.0014212914,0.034368716],"study_design_scores_gemma":[0.000021528114,0.000057283123,0.0012653776,0.000023286811,0.000033825254,0.00025255416,0.0000519358,0.94945943,0.001018525,0.04671439,0.001063091,0.000038736973],"about_ca_topic_score_codex":0.0035001321,"about_ca_topic_score_gemma":0.0024099615,"teacher_disagreement_score":0.0071185837,"about_ca_system_score_codex":0.0013602673,"about_ca_system_score_gemma":0.000858766,"threshold_uncertainty_score":0.037647128},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tornado; Mathematics; Copula (linguistics); Confidence interval; Statistics; Econometrics; Geography; Meteorology","score_opus":0.05480500081891862,"score_gpt":0.27048817133201536,"score_spread":0.21568317051309674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405801493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5262191,0.0014876034,0.46392778,0.0004376162,0.000036875357,0.00017082812,0.001290123,0.00063301873,0.005796978],"genre_scores_gemma":[0.96406466,0.00029065288,0.034504887,0.000023830338,0.000007789022,0.000043709817,0.00048841647,0.000038102135,0.0005379328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974185,0.0009716881,0.0001235143,0.00031906366,0.0009529121,0.00021432119],"domain_scores_gemma":[0.9561621,0.030726422,0.0026162807,0.0022866183,0.007593725,0.0006148814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0111158,0.00040679233,0.0005486081,0.002214053,0.0006909562,0.0014130521,0.0022620803,0.0007366258,0.0018955284],"category_scores_gemma":[0.086726554,0.0002154053,0.0006850694,0.0024927799,0.0015402231,0.00092104304,0.0011368461,0.001172808,0.000112772956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047968203,0.00011097891,0.10754745,0.0002741399,0.00030261275,0.000508977,0.0011925327,0.67947674,0.0019059092,0.08519137,0.0030334652,0.11997606],"study_design_scores_gemma":[0.000028415805,0.000062034516,0.042439323,0.00013421787,0.00004663079,0.00016100447,0.0005027112,0.93155694,0.001722828,0.021435115,0.0018508267,0.00005999275],"about_ca_topic_score_codex":0.39214158,"about_ca_topic_score_gemma":0.23847225,"teacher_disagreement_score":0.6078584,"about_ca_system_score_codex":0.0043881824,"about_ca_system_score_gemma":0.0036325646,"threshold_uncertainty_score":0.77971816},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.6313142829333468,"score_gpt":0.567583129246376,"score_spread":0.0637311536869708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405801582","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001425831,0.00085102883,0.9848905,0.0005280861,0.0006201306,0.0024807046,0.00090057135,0.00093401206,0.0073690945],"genre_scores_gemma":[0.02120956,0.0006538552,0.9619854,0.0004284161,0.00028513934,0.010389997,0.0005394084,0.0002937407,0.004214384],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96120995,0.023976702,0.0024052276,0.003378754,0.008349765,0.0006795226],"domain_scores_gemma":[0.9377045,0.04893715,0.0021838997,0.0035355247,0.0072020567,0.0004367991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03215839,0.0020153653,0.0033243943,0.0042617884,0.0023297565,0.003157911,0.00367843,0.0031661522,0.055283777],"category_scores_gemma":[0.09715721,0.00079032447,0.003325728,0.0033163165,0.002793727,0.0019008315,0.0026153529,0.0062710107,0.008868043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013239236,0.0005033595,0.0023989584,0.005016106,0.0008922451,0.0008731678,0.0020114975,0.01735165,0.004337577,0.29807666,0.060088057,0.6071267],"study_design_scores_gemma":[0.0010978174,0.0017056185,0.0049095512,0.0022131444,0.0010275316,0.002081794,0.0011967917,0.18678848,0.0114106815,0.42417496,0.36290336,0.0004902],"about_ca_topic_score_codex":0.0021679117,"about_ca_topic_score_gemma":0.0019293507,"teacher_disagreement_score":0.055283777,"about_ca_system_score_codex":0.0022741596,"about_ca_system_score_gemma":0.006080144,"threshold_uncertainty_score":0.18494266},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.2013442748431072,"score_gpt":0.4690495418994199,"score_spread":0.2677052670563127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405801586","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.103702694,0.014514655,0.87147725,0.00087099144,0.00023538947,0.00040463937,0.0009830169,0.0013945707,0.0064167874],"genre_scores_gemma":[0.76380545,0.004060708,0.22828272,0.0002737257,0.00018598378,0.0007585537,0.0018131667,0.00029105178,0.0005285855],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96519196,0.020698184,0.0021869398,0.0031579481,0.008101395,0.0006635912],"domain_scores_gemma":[0.68466383,0.26517132,0.014258809,0.014046579,0.020536436,0.001322987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06318426,0.0014955777,0.0018380029,0.007809886,0.0009152958,0.0037467817,0.003947795,0.0027503124,0.0025465654],"category_scores_gemma":[0.3148153,0.00055859116,0.0018189325,0.0052697505,0.0024952616,0.0054471716,0.003020843,0.0032502457,0.0004761531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022977006,0.00032315767,0.09727508,0.0032959736,0.0014870215,0.0008781228,0.0019397561,0.26427856,0.0027098705,0.19677617,0.007944136,0.42079455],"study_design_scores_gemma":[0.00035985792,0.0011643019,0.03268509,0.0020021482,0.0008725326,0.0020960672,0.001873181,0.83701134,0.009644023,0.09449392,0.01726936,0.0005281783],"about_ca_topic_score_codex":0.0042118966,"about_ca_topic_score_gemma":0.0016802545,"teacher_disagreement_score":0.06318426,"about_ca_system_score_codex":0.0020819919,"about_ca_system_score_gemma":0.0018297648,"threshold_uncertainty_score":0.3341543},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0536863935428728,"score_gpt":0.3098638108086835,"score_spread":0.2561774172658107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405801595","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07535532,0.00054577424,0.91384447,0.00055516255,0.000075735355,0.000071620394,0.0001416855,0.00012933885,0.009280786],"genre_scores_gemma":[0.9295524,0.0010335536,0.062381152,0.00020877577,0.00022164865,0.0001912368,0.00020218693,0.00008149372,0.006127657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99885714,0.00043443806,0.000051659703,0.00016417011,0.00037605982,0.000116492556],"domain_scores_gemma":[0.9901619,0.0057282452,0.0009418016,0.000791831,0.0020428798,0.00033332687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003411166,0.0005603902,0.0006146544,0.0020319142,0.00059689576,0.0017443597,0.0009935219,0.00082987576,0.0042521474],"category_scores_gemma":[0.017598584,0.00030682902,0.00076102227,0.0015131292,0.00199593,0.002606623,0.0012699896,0.0017586296,0.00071965985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059018646,0.00004668296,0.005253527,0.00008128231,0.000037999802,0.00052646257,0.00029897416,0.09420391,0.0032276928,0.86068654,0.0020499849,0.03352798],"study_design_scores_gemma":[0.00002156444,0.00006556345,0.0019686623,0.0000403102,0.000013100842,0.00050138944,0.00013869026,0.5315865,0.00078826013,0.46102196,0.0038229465,0.000030990366],"about_ca_topic_score_codex":0.0009961625,"about_ca_topic_score_gemma":0.0004543672,"teacher_disagreement_score":0.0042521474,"about_ca_system_score_codex":0.0010345845,"about_ca_system_score_gemma":0.00093342987,"threshold_uncertainty_score":0.01804012},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07731924222353691,"score_gpt":0.3685344016049625,"score_spread":0.29121515938142556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405801678","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010033537,0.00010149708,0.98946804,0.0000422529,0.000009053715,0.000024087583,0.00000988575,0.00007167438,0.00023989432],"genre_scores_gemma":[0.29074907,0.00042835224,0.70677495,0.00007421091,0.0000769676,0.00032681713,0.00016608789,0.00010412096,0.0012994106],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979012,0.0013442058,0.00008012229,0.00019019745,0.00041845054,0.00006570855],"domain_scores_gemma":[0.9861966,0.010992341,0.0007801891,0.0006473493,0.0012382999,0.00014523242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007777823,0.000868424,0.0013011321,0.0020579444,0.00032454723,0.00082824443,0.0013948466,0.0012479121,0.0017571102],"category_scores_gemma":[0.030710813,0.00052908977,0.0009996165,0.001102494,0.0013962487,0.0018778712,0.0015957723,0.0013652939,0.0005859868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042761225,0.00017212561,0.010980794,0.00056240737,0.0002925449,0.00045655074,0.0005498127,0.387862,0.028419683,0.15688846,0.002091457,0.41129643],"study_design_scores_gemma":[0.000035498535,0.00017775915,0.0025142436,0.00006113345,0.000044525816,0.0001447391,0.000071888826,0.9553616,0.005939914,0.034142252,0.0014598396,0.00004657241],"about_ca_topic_score_codex":0.00069641613,"about_ca_topic_score_gemma":0.0007487347,"teacher_disagreement_score":0.007777823,"about_ca_system_score_codex":0.00037968613,"about_ca_system_score_gemma":0.0008036366,"threshold_uncertainty_score":0.041133583},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.2828519614656757,"score_gpt":0.35625560012948054,"score_spread":0.07340363866380484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408881420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030833427,0.001187974,0.964908,0.00083609443,0.000069955466,0.00004297519,0.0000844105,0.000100293015,0.0019369383],"genre_scores_gemma":[0.7925942,0.0028123814,0.19854118,0.00054653746,0.00053027214,0.00022321512,0.00031394014,0.000097882286,0.0043404074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985089,0.000728859,0.00005934378,0.00026563997,0.00035321765,0.00008410098],"domain_scores_gemma":[0.9911549,0.0065043806,0.00068034686,0.0006099029,0.00087494333,0.00017557523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054743867,0.0006500556,0.00073865097,0.002426047,0.00042291105,0.0017664009,0.00095703313,0.0012276138,0.0020760323],"category_scores_gemma":[0.018849313,0.00034476313,0.00074680505,0.0013453722,0.0024191698,0.0024111108,0.0013901567,0.0014437257,0.00041089105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014489383,0.00008447118,0.014437277,0.0003084019,0.00017657313,0.0015923305,0.000518151,0.22966495,0.008090505,0.62255585,0.0033232195,0.119103424],"study_design_scores_gemma":[0.000027106942,0.000107064945,0.0029346738,0.00005339112,0.000031109696,0.0012114902,0.00013182973,0.7073324,0.0019014364,0.28046718,0.0057506254,0.000051754072],"about_ca_topic_score_codex":0.0010338618,"about_ca_topic_score_gemma":0.00048007612,"teacher_disagreement_score":0.0054743867,"about_ca_system_score_codex":0.0007167366,"about_ca_system_score_gemma":0.0008847391,"threshold_uncertainty_score":0.028951705},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01873105261759193,"score_gpt":0.2546862985894692,"score_spread":0.23595524597187725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410884688","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3061335,0.00026285052,0.69171274,0.00020076314,0.0000141381115,0.000031317155,0.00022999833,0.00023453843,0.0011802217],"genre_scores_gemma":[0.97993886,0.0001090095,0.019244507,0.000012261662,0.0000095791365,0.000024927942,0.00024567943,0.000018746778,0.0003963846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995142,0.00023485703,0.000026878834,0.000113008275,0.000063717074,0.00004723829],"domain_scores_gemma":[0.9986376,0.0009355608,0.00016830814,0.000074832446,0.00014215689,0.000041489966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012960057,0.00052138796,0.0004521115,0.0007879756,0.00020943672,0.00093297416,0.0006193669,0.000478518,0.0007187212],"category_scores_gemma":[0.0052382676,0.00028805336,0.00057854434,0.00057194143,0.0004361651,0.0010655903,0.000808461,0.0006980208,0.000099535355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006620037,0.000025786725,0.020568551,0.000058409867,0.000074677446,0.00016212823,0.00009337503,0.946644,0.00093103875,0.0030419328,0.00024007703,0.028093848],"study_design_scores_gemma":[0.00000240733,0.000008141818,0.003209668,0.000004371684,0.0000044905887,0.000024291987,0.000019623236,0.9944654,0.00018129921,0.0019927542,0.00008035971,0.000007214882],"about_ca_topic_score_codex":0.0055885655,"about_ca_topic_score_gemma":0.0026941716,"teacher_disagreement_score":0.0055885655,"about_ca_system_score_codex":0.00044648454,"about_ca_system_score_gemma":0.000499671,"threshold_uncertainty_score":0.011112094},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.24351865834815997,"score_gpt":0.47911705455665393,"score_spread":0.23559839620849396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411330244","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01993431,0.0014733884,0.97559386,0.00020272282,0.00007502913,0.0001485686,0.00021098483,0.0003810944,0.00198009],"genre_scores_gemma":[0.49761802,0.0012241009,0.49867198,0.00014266596,0.0001261134,0.0008044181,0.0007085769,0.00016933569,0.00053479866],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9805416,0.013168976,0.00080759736,0.0015059779,0.0036340323,0.00034183354],"domain_scores_gemma":[0.8886433,0.08937682,0.005216825,0.0068819257,0.009248459,0.0006325945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033863857,0.0008541136,0.0014673133,0.005779063,0.0006688244,0.002358268,0.002663156,0.0016466532,0.0029467049],"category_scores_gemma":[0.18533832,0.00036944202,0.0014436851,0.0043572984,0.0018438577,0.0025547515,0.0025138585,0.0024461197,0.00058428757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085591193,0.0002494316,0.037970163,0.0017494246,0.00086335576,0.0007300588,0.0016459551,0.16253726,0.005185013,0.28563145,0.0066965064,0.4958855],"study_design_scores_gemma":[0.00018814442,0.0005788308,0.022820417,0.0016094527,0.00034096834,0.0012869912,0.0011958521,0.7093895,0.011625789,0.22955768,0.021091066,0.00031533933],"about_ca_topic_score_codex":0.0015661491,"about_ca_topic_score_gemma":0.00064907497,"teacher_disagreement_score":0.033863857,"about_ca_system_score_codex":0.00084526115,"about_ca_system_score_gemma":0.001259336,"threshold_uncertainty_score":0.17909133},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Quarter (Canadian coin); Sobolev space; Algebra over a field; Pure mathematics; Calculus (dental)","score_opus":0.04819442784396875,"score_gpt":0.309473102052902,"score_spread":0.26127867420893325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411339463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3058639,0.0007322493,0.63823813,0.0011359483,0.00025777152,0.000083345745,0.00020956734,0.00021785406,0.05326127],"genre_scores_gemma":[0.88886017,0.00065230986,0.08901773,0.00023367655,0.0001437121,0.00010346022,0.0001931292,0.00014167726,0.020654118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999782,0.000053828226,0.000012522475,0.000026919108,0.00008408944,0.00004062292],"domain_scores_gemma":[0.99973303,0.00006172147,0.00005369905,0.00003693238,0.00006274727,0.000051756557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007011039,0.0006702183,0.00063127716,0.0014204774,0.00063351326,0.0016006914,0.0010687537,0.0014557608,0.0035742805],"category_scores_gemma":[0.0013443993,0.000291387,0.0008728835,0.0004598259,0.0015397744,0.002120162,0.0012350425,0.001456674,0.0005076477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007457918,0.000014122414,0.00008900369,0.000021794533,0.0000036587371,0.00007295512,0.00010175782,0.005553786,0.0023152332,0.9894438,0.0003423452,0.002033963],"study_design_scores_gemma":[0.000018962293,0.00002691094,0.0002703984,0.00002238813,0.0000065587324,0.000316214,0.00015322743,0.26028562,0.0015950927,0.7350062,0.0022729638,0.000025453824],"about_ca_topic_score_codex":0.0009686822,"about_ca_topic_score_gemma":0.00058307505,"teacher_disagreement_score":0.0035742805,"about_ca_system_score_codex":0.0008244048,"about_ca_system_score_gemma":0.0006159745,"threshold_uncertainty_score":0.011957169},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Watershed; Mathematics; Mathematics education; Hydrology (agriculture); Machine learning; Computer science; Engineering; Geotechnical engineering","score_opus":0.024161169723498903,"score_gpt":0.30131883116652586,"score_spread":0.27715766144302695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411340018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841377,0.00013515409,0.013833107,0.00026697037,0.000006197564,0.00004950924,0.00019665311,0.00010390599,0.0012708266],"genre_scores_gemma":[0.99356395,0.00009595251,0.0057929307,0.000010704383,0.000006916967,0.000020148698,0.00011020258,0.0000058652554,0.00039334322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954224,0.00023537867,0.000028510536,0.00005606035,0.00006544257,0.00007242789],"domain_scores_gemma":[0.99875164,0.0007523583,0.000103798266,0.00007424781,0.00019150523,0.00012645946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490808,0.000507497,0.00048984477,0.0006593664,0.0007687803,0.0007266534,0.0005516412,0.00078258745,0.00058339967],"category_scores_gemma":[0.0020374216,0.00016184922,0.00042765914,0.0013241059,0.00033936923,0.00062666554,0.0006411853,0.0004918611,0.000065850894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030816946,0.00044767678,0.069204256,0.00011920066,0.00011321385,0.0041936734,0.0005705408,0.85368055,0.002056744,0.001405707,0.0011489667,0.066751376],"study_design_scores_gemma":[0.000017446513,0.00012986502,0.016616914,0.0000108390805,0.000031054766,0.00018084873,0.0006343228,0.98001385,0.001151155,0.0007637695,0.00043214383,0.000017814145],"about_ca_topic_score_codex":0.03221261,"about_ca_topic_score_gemma":0.033710793,"teacher_disagreement_score":0.03221261,"about_ca_system_score_codex":0.0011470207,"about_ca_system_score_gemma":0.0008308538,"threshold_uncertainty_score":0.06405026},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Value (mathematics); Statistical learning; Statistics; Artificial intelligence; Computer science","score_opus":0.12670071438877722,"score_gpt":0.40937895570006333,"score_spread":0.2826782413112861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411340164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7227047,0.00078158424,0.27108887,0.0007028062,0.00007870317,0.00006921508,0.0004885102,0.00053831167,0.0035471865],"genre_scores_gemma":[0.98522735,0.00019390775,0.01316662,0.000027163213,0.000021490123,0.000041328756,0.00022451686,0.000010872297,0.0010867037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999684,0.00012385908,0.000026618716,0.00006554198,0.00006289192,0.000037127935],"domain_scores_gemma":[0.99934846,0.0003898141,0.00008682662,0.000024785782,0.0001312574,0.000018811359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096930814,0.000625147,0.0005309466,0.00094955094,0.00023520533,0.0008022667,0.0006525332,0.00057521334,0.0008524294],"category_scores_gemma":[0.0019733459,0.00028357957,0.00065338326,0.001058399,0.00019407507,0.00068613776,0.0003667792,0.0006764083,0.00014287299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048712824,0.000054631528,0.008623347,0.00003465779,0.000063593754,0.000086536915,0.000036463625,0.9675922,0.0006646954,0.00079382805,0.0004003182,0.021601014],"study_design_scores_gemma":[9.0107636e-7,0.000006445321,0.00043641974,0.000001609386,0.0000028788859,0.0000023229948,0.000004772798,0.99935275,0.00004923789,0.00010016444,0.00004119323,0.0000014198421],"about_ca_topic_score_codex":0.03058598,"about_ca_topic_score_gemma":0.015583414,"teacher_disagreement_score":0.03058598,"about_ca_system_score_codex":0.00068479264,"about_ca_system_score_gemma":0.0009026109,"threshold_uncertainty_score":0.06081587},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.10794721730433744,"score_gpt":0.3936277865786979,"score_spread":0.2856805692743605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413391628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19779705,0.00233276,0.79443604,0.00031539478,0.00013492227,0.00016208252,0.00032427342,0.0005833257,0.003914251],"genre_scores_gemma":[0.88733155,0.0004944773,0.11118093,0.00005890598,0.000065006585,0.00017487051,0.00039872964,0.000083323524,0.00021218603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97585094,0.018052526,0.00066070346,0.00097257894,0.0041419505,0.0003212331],"domain_scores_gemma":[0.7043171,0.26582724,0.007482986,0.010867172,0.01064259,0.00086298835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035492323,0.0005372175,0.00090972014,0.0041312324,0.000505692,0.0016009763,0.0019363306,0.001397271,0.0018243437],"category_scores_gemma":[0.25112653,0.00029511718,0.0009925251,0.0034063256,0.0014667511,0.0016943807,0.0016877877,0.001504407,0.00026985348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018072631,0.00031823956,0.06324696,0.001230947,0.0011397429,0.0007129367,0.0014452962,0.43547884,0.0039814734,0.15560788,0.0040192283,0.3310113],"study_design_scores_gemma":[0.0001337462,0.00056109205,0.025484564,0.0004594651,0.00014177676,0.00060566247,0.00079265254,0.9025573,0.0043824078,0.05987121,0.0048822104,0.00012785579],"about_ca_topic_score_codex":0.00236087,"about_ca_topic_score_gemma":0.0010889268,"teacher_disagreement_score":0.035492323,"about_ca_system_score_codex":0.0008087966,"about_ca_system_score_gemma":0.00083877746,"threshold_uncertainty_score":0.18770355},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Elasticity (physics); Mathematical economics","score_opus":0.036169479979415664,"score_gpt":0.27952602147476724,"score_spread":0.24335654149535157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413391669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57498884,0.00028874498,0.40627345,0.00076093,0.00004364649,0.00010807289,0.0004442588,0.00017555586,0.016916448],"genre_scores_gemma":[0.98990893,0.00017300327,0.007066319,0.000016663533,0.000008452949,0.000044633747,0.000098535755,0.000013900202,0.0026695135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973124,0.00011208293,0.000013123075,0.00004708598,0.000049265513,0.00004729128],"domain_scores_gemma":[0.99901474,0.0006226032,0.00014921118,0.000032453114,0.00015185954,0.000029185321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000767624,0.0004708859,0.00036286964,0.0013073917,0.0004103952,0.0016322534,0.00045983618,0.0005591031,0.002682257],"category_scores_gemma":[0.0021811572,0.00026917155,0.00094351184,0.0010014209,0.0005768481,0.0015168722,0.00056963204,0.0005638199,0.00017690346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028322116,0.00002881868,0.0038403657,0.000044420325,0.000018035764,0.00011868035,0.0000876417,0.9718685,0.0009989133,0.018383574,0.00026793586,0.0043147667],"study_design_scores_gemma":[0.0000013521202,0.000011153088,0.0005562262,0.0000031644865,0.000004600245,0.000013095297,0.000046001423,0.996055,0.00016347226,0.0029891122,0.00015181897,0.0000050294016],"about_ca_topic_score_codex":0.017672736,"about_ca_topic_score_gemma":0.0051224385,"teacher_disagreement_score":0.017672736,"about_ca_system_score_codex":0.0012859807,"about_ca_system_score_gemma":0.0013051498,"threshold_uncertainty_score":0.03513974},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.021695922100418267,"score_gpt":0.2717170929021405,"score_spread":0.25002117080172226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413391696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015260218,0.005250122,0.95191866,0.0007234024,0.00024748643,0.000041467625,0.00004376727,0.00004582197,0.026469015],"genre_scores_gemma":[0.5751306,0.009730257,0.40071368,0.0002978181,0.0004923986,0.00010134626,0.00010010776,0.00006361204,0.01337017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99956924,0.00015094092,0.000030151932,0.000075856755,0.0001512467,0.000022570868],"domain_scores_gemma":[0.99966276,0.00018531593,0.000030401116,0.000028981349,0.000080513346,0.000011968451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007970595,0.0004999881,0.00039124,0.00084737845,0.00055095286,0.0008835109,0.00034665325,0.00039039037,0.0014817662],"category_scores_gemma":[0.0019161399,0.00016031362,0.0006268014,0.001362241,0.0010086044,0.0016674855,0.00046470357,0.0011055566,0.00028423517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045882138,0.000033501216,0.0006079767,0.0003054259,0.00003108991,0.00024246085,0.00039903124,0.073389694,0.006572244,0.6886084,0.0024143592,0.22734997],"study_design_scores_gemma":[0.000008423177,0.00014719107,0.0012695484,0.000114006834,0.000034954108,0.00050725957,0.00020071899,0.39972612,0.008745418,0.522749,0.06643217,0.000065133136],"about_ca_topic_score_codex":0.0014880331,"about_ca_topic_score_gemma":0.00095660693,"teacher_disagreement_score":0.0014880331,"about_ca_system_score_codex":0.0007357124,"about_ca_system_score_gemma":0.00054735405,"threshold_uncertainty_score":0.005338013},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04807748871150536,"score_gpt":0.3641014168176198,"score_spread":0.31602392810611446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7081957999","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07024443,0.0012779492,0.92421746,0.00019301675,0.00008906421,0.00012870532,0.0001799428,0.0005024467,0.0031669482],"genre_scores_gemma":[0.80284756,0.000693034,0.1945714,0.00013008181,0.00008479192,0.0004024226,0.00061505014,0.00011504228,0.0005406202],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9784073,0.012909853,0.0008730583,0.0029233529,0.0043548862,0.0005315656],"domain_scores_gemma":[0.7553038,0.21423243,0.009194355,0.009022446,0.011393999,0.0008529235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035489365,0.0010029003,0.0013643391,0.0034476863,0.0005876998,0.0023262536,0.002784887,0.0017845988,0.0023776058],"category_scores_gemma":[0.24565405,0.00043836265,0.0012217857,0.001791079,0.0025604654,0.0036265997,0.002145591,0.0023957712,0.00046057606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016990904,0.00032914302,0.08097788,0.0016055498,0.0012722274,0.00072155613,0.0017493269,0.33150944,0.007858505,0.2140618,0.003041668,0.35517395],"study_design_scores_gemma":[0.00018545665,0.00068120885,0.025886947,0.0006008429,0.00023348597,0.0011871972,0.000855817,0.8616595,0.010168774,0.09348815,0.00479744,0.00025506006],"about_ca_topic_score_codex":0.0019227858,"about_ca_topic_score_gemma":0.00075700576,"teacher_disagreement_score":0.035489365,"about_ca_system_score_codex":0.0010872589,"about_ca_system_score_gemma":0.0015866796,"threshold_uncertainty_score":0.18768793},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.0660566422926935,"score_gpt":0.34848628216693084,"score_spread":0.28242963987423736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7129226944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96131605,0.0071591977,0.00082679925,0.00048409202,0.00007045757,0.00007166001,0.012283463,0.0000704199,0.017718002],"genre_scores_gemma":[0.99156207,0.0022317432,0.0006439752,0.000045739976,0.00002944418,0.000023177547,0.004525823,0.000012863761,0.00092526077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993783,0.00009451712,0.000038421214,0.00011735495,0.00015028332,0.00022102987],"domain_scores_gemma":[0.99907565,0.00012946184,0.00018372183,0.00006147358,0.0004649277,0.000084634434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008291644,0.00022624467,0.00037799755,0.0059445733,0.0005148197,0.0010062193,0.00041983457,0.0002450812,0.0026072867],"category_scores_gemma":[0.002073505,0.00011756374,0.0007217602,0.008201114,0.0004791716,0.00060539274,0.0008342067,0.00034904157,0.00026871564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119234675,0.000027233928,0.9584781,0.00025092094,0.00046085523,0.0002900329,0.0022896738,0.0017964565,0.00069283944,0.0022852095,0.0021571482,0.031152284],"study_design_scores_gemma":[0.0000015611773,0.000021098984,0.9930427,0.00003261302,0.000040916933,0.000092878116,0.0027183976,0.00029316248,0.00007586465,0.00006302027,0.0036090685,0.000008789125],"about_ca_topic_score_codex":0.33946675,"about_ca_topic_score_gemma":0.41457883,"teacher_disagreement_score":0.33946675,"about_ca_system_score_codex":0.0024247642,"about_ca_system_score_gemma":0.0022577464,"threshold_uncertainty_score":0.6749817},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04094858557831548,"score_gpt":0.3424553036685812,"score_spread":0.3015067180902657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7129235533","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19382253,0.0008863979,0.8004225,0.001017618,0.000051784824,0.00010484212,0.000561569,0.00049479306,0.0026379426],"genre_scores_gemma":[0.9339122,0.0006720538,0.06259589,0.00018219452,0.000116846706,0.00016820455,0.00073701923,0.00009615958,0.0015193436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975083,0.0014265163,0.00011777158,0.00035379035,0.0004321159,0.00016157003],"domain_scores_gemma":[0.9392998,0.04511374,0.0060555274,0.005634441,0.0030811185,0.00081532425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101466775,0.00071447797,0.0011318238,0.003247423,0.00064154324,0.0019397691,0.0023852568,0.0015076179,0.0030069991],"category_scores_gemma":[0.06314127,0.0003468594,0.0014009232,0.0028975096,0.0023958224,0.004035298,0.002391922,0.0026134641,0.0005290744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046936353,0.0002497967,0.046163354,0.00032620126,0.0002720398,0.0011273123,0.0005368188,0.6298165,0.0023736074,0.23205547,0.0032459244,0.08336362],"study_design_scores_gemma":[0.000020397654,0.000073053074,0.0044140145,0.00004012763,0.000025570387,0.00035269052,0.00012519649,0.9330454,0.00049050216,0.060695525,0.00068396697,0.00003347262],"about_ca_topic_score_codex":0.0027410605,"about_ca_topic_score_gemma":0.0016190876,"teacher_disagreement_score":0.0101466775,"about_ca_system_score_codex":0.0012107106,"about_ca_system_score_gemma":0.00076003594,"threshold_uncertainty_score":0.053661406},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.06978924245913684,"score_gpt":0.3344192492886091,"score_spread":0.26463000682947224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7129510174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047900207,0.0021739707,0.9377955,0.00094860495,0.00014435207,0.00006553644,0.00023103371,0.0003020449,0.010438627],"genre_scores_gemma":[0.9107607,0.003339589,0.075639114,0.00033847764,0.00038239788,0.00021335571,0.0004223134,0.00010903745,0.008794983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984438,0.00059957086,0.00008491688,0.00031662037,0.00041850004,0.00013674464],"domain_scores_gemma":[0.9894086,0.0063833753,0.0008154357,0.0008416727,0.002349242,0.00020158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039253826,0.00052702735,0.0006902069,0.0021736606,0.0006071007,0.0011911676,0.0009379132,0.0009399932,0.0033850796],"category_scores_gemma":[0.020087147,0.00031684383,0.00079952116,0.0018700715,0.0016236464,0.0020143546,0.0012089509,0.0015815046,0.0007200653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010568023,0.00008165837,0.011201028,0.00022809391,0.00006319115,0.0005887005,0.0004621138,0.12426659,0.0034878089,0.77810043,0.0049252007,0.07648953],"study_design_scores_gemma":[0.00002492151,0.00007633673,0.0032200618,0.00008791844,0.000023443856,0.001162355,0.00017963864,0.7888231,0.0014457122,0.19441639,0.010480513,0.000059635884],"about_ca_topic_score_codex":0.0029235764,"about_ca_topic_score_gemma":0.0009913661,"teacher_disagreement_score":0.0039253826,"about_ca_system_score_codex":0.0012434651,"about_ca_system_score_gemma":0.0008730469,"threshold_uncertainty_score":0.020759642},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.035284364167280806,"score_gpt":0.34638642190869035,"score_spread":0.31110205774140953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7129648675","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020541092,0.0015253029,0.96998703,0.00081599096,0.00015561175,0.00008399221,0.000271348,0.00039473237,0.0062248087],"genre_scores_gemma":[0.68791646,0.0038641088,0.2886852,0.0008609584,0.00058322906,0.0007616976,0.0012758857,0.00050184265,0.015550625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966607,0.0015242507,0.00014761243,0.00072054326,0.0007075747,0.00023940495],"domain_scores_gemma":[0.9794266,0.0152922915,0.001184831,0.0018113353,0.0018760564,0.00040884403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009495395,0.000942978,0.0015444792,0.0032702908,0.0012366852,0.0031788705,0.0023746486,0.0023902738,0.007931688],"category_scores_gemma":[0.046979185,0.00060254504,0.0018607032,0.003397371,0.0031564867,0.0044744825,0.0026786039,0.0033511815,0.0019039051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093388844,0.000055419197,0.0058964463,0.00025106675,0.00014408574,0.0005177738,0.00033931705,0.12744999,0.0010236135,0.7899542,0.0050452803,0.06922945],"study_design_scores_gemma":[0.00002230777,0.00007217655,0.0016219099,0.00008093749,0.00003218209,0.00044260785,0.000096314216,0.59235704,0.00067132147,0.39727688,0.0072650006,0.00006130073],"about_ca_topic_score_codex":0.0031406214,"about_ca_topic_score_gemma":0.001578549,"teacher_disagreement_score":0.009495395,"about_ca_system_score_codex":0.0014146751,"about_ca_system_score_gemma":0.0018643511,"threshold_uncertainty_score":0.050217032},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Quantile; Computation; Weibull distribution; Mixture model; Component (thermodynamics)","score_opus":0.024308529220014707,"score_gpt":0.280337160350824,"score_spread":0.2560286311308093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7150184825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040335846,0.00010220017,0.9954266,0.000030167843,0.000006758011,0.000012631612,0.000011094807,0.00013182995,0.00024519538],"genre_scores_gemma":[0.2927224,0.00059791055,0.70454687,0.0000691259,0.000056361743,0.00016861658,0.00017665337,0.00021325909,0.0014487413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99906784,0.00044432553,0.000055068936,0.00013199597,0.00022545771,0.000075343705],"domain_scores_gemma":[0.9941982,0.004536914,0.0003146967,0.0003520636,0.0004698882,0.00012822222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003730334,0.0007244601,0.00091301464,0.0013311469,0.0005705329,0.0012592028,0.001410335,0.00088740065,0.0022637188],"category_scores_gemma":[0.018879356,0.0005236758,0.0009172226,0.0012888298,0.0012480613,0.0017861455,0.0016517203,0.0017423251,0.0005796722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010308324,0.000039027153,0.0022986496,0.00012626145,0.000047611753,0.00010917435,0.00022741826,0.77845025,0.003886707,0.12337149,0.00061037764,0.090729915],"study_design_scores_gemma":[0.000004236156,0.000009038564,0.00018457696,0.000011233569,0.0000052883265,0.000021358228,0.000010080333,0.9807037,0.00064906874,0.0180165,0.00037585874,0.000009163205],"about_ca_topic_score_codex":0.004373385,"about_ca_topic_score_gemma":0.0029998687,"teacher_disagreement_score":0.004373385,"about_ca_system_score_codex":0.00096716377,"about_ca_system_score_gemma":0.0012517268,"threshold_uncertainty_score":0.019728065},"labels":[],"label_agreement":null}]}