{"meta":{"query_hash":"859f5de466ba","filters":{"venue":"ISRN Probability and Statistics"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/859f5de466ba","api":"https://metacan.xera.ac/api/v1/cohort?venue=ISRN+Probability+and+Statistics"},"results":[{"id":"W2013201818","doi":"10.1155/2013/508045","title":"Note on a Binomial Schedule for an M<sup>X</sup>/G/1 Queueing System with an Unreliable Server","year":2013,"lang":"en","type":"article","venue":"ISRN Probability and Statistics","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","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":"Becton Dickinson (Canada)","funders":"","keywords":"Queueing system; Computer science; Queue; Schedule; Queueing theory; Idle; Bulk queue; Computer network; Real-time computing; Operating system","score_opus":0.01912098456161928,"score_gpt":0.24218589860728126,"score_spread":0.22306491404566198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013201818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6915509,0.0000063851858,0.30643374,0.00012626022,0.00006994525,0.0010119488,0.00007213247,0.00020584396,0.00052285986],"genre_scores_gemma":[0.90716773,6.650225e-7,0.09173824,0.000368517,0.00031124154,0.00013136966,0.00012461396,0.000041537056,0.000116110525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847746,0.000051000043,0.0003340404,0.00055387546,0.00020254927,0.0003810839],"domain_scores_gemma":[0.99866253,0.0002236526,0.00018947913,0.0004847979,0.00038955203,0.000049976104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006732878,0.0002560536,0.000334358,0.00010808057,0.00041964222,0.00044591492,0.00019215798,0.000092334485,0.000051852974],"category_scores_gemma":[0.0002980068,0.00021263139,0.000037844224,0.00022565115,0.00014348036,0.0016465458,0.00006379105,0.00015550473,0.000055633787],"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":[0.00057479914,0.00030155998,0.0042333356,0.0015807083,0.000059718837,0.000004927691,0.00021038577,0.07577959,0.000048970796,0.90911835,0.00021293253,0.007874729],"study_design_scores_gemma":[0.0009038394,0.00028800024,0.0007797317,0.00012535515,0.00015173979,0.000002007704,0.00068656006,0.8332614,0.00002391901,0.16241434,0.0009604447,0.00040269515],"about_ca_topic_score_codex":0.0010239092,"about_ca_topic_score_gemma":0.0010543367,"teacher_disagreement_score":0.75748175,"about_ca_system_score_codex":0.000081474376,"about_ca_system_score_gemma":0.000035721998,"threshold_uncertainty_score":0.8670857},"labels":[],"label_agreement":null},{"id":"W2027048103","doi":"10.1155/2013/851419","title":"Multidimensional Structural Credit Modeling under Stochastic Volatility","year":2013,"lang":"en","type":"article","venue":"ISRN Probability and Statistics","topic":"Credit Risk and Financial Regulations","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":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Stylized fact; Stochastic volatility; Econometrics; Volatility (finance); Estimator; Equity (law); Economics; Credit risk; Financial economics; Actuarial science; Mathematics; Statistics","score_opus":0.03907160489031041,"score_gpt":0.23182820801061982,"score_spread":0.1927566031203094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027048103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.504133,0.00014044033,0.49434015,0.00015818169,0.00021324641,0.00025557601,0.000579847,0.000023716793,0.00015585855],"genre_scores_gemma":[0.93502593,0.000009044825,0.06457821,0.000027811531,0.00009361505,0.000029344217,0.00007256037,0.000012105351,0.0001513462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866474,0.000016003136,0.00056800497,0.0004136663,0.000060437047,0.0002771449],"domain_scores_gemma":[0.9992076,0.00015054453,0.00012775643,0.0002596497,0.00012755225,0.00012686317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025113937,0.00015838214,0.00029445972,0.00006140092,0.00025690667,0.000072489056,0.00008072955,0.00010645207,0.0004051927],"category_scores_gemma":[0.00041060272,0.0001685179,0.000045116707,0.00009624089,0.00016979044,0.00023673107,0.00006697536,0.00017924154,0.0001105986],"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":[0.000012598548,0.00004723847,0.044915665,0.000034385426,0.000014159985,3.1090826e-7,0.00026680256,0.018197319,0.0000042886227,0.9332222,0.00035586124,0.002929184],"study_design_scores_gemma":[0.0001275388,0.000016910857,0.18513682,0.0000027113986,0.0000030240546,0.0000010118434,0.000017459826,0.4118721,2.901482e-7,0.4026837,0.000044766966,0.000093661816],"about_ca_topic_score_codex":0.0009436174,"about_ca_topic_score_gemma":0.00024424438,"teacher_disagreement_score":0.5305385,"about_ca_system_score_codex":0.00007579093,"about_ca_system_score_gemma":0.000035801073,"threshold_uncertainty_score":0.6871961},"labels":[],"label_agreement":null},{"id":"W2049916115","doi":"10.1155/2013/265373","title":"A Cluster Truncated Pareto Distribution and Its Applications","year":2013,"lang":"en","type":"article","venue":"ISRN Probability and Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of British Columbia; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pareto interpolation; Pareto principle; Pareto distribution; Lomax distribution; Generalized Pareto distribution; Distribution (mathematics); Cluster (spacecraft); Heavy-tailed distribution; Goodness of fit; Mathematics; Point (geometry); Statistics; Mathematical optimization; Computer science; Probability distribution; Extreme value theory; Mathematical analysis","score_opus":0.050391159629425586,"score_gpt":0.3211344311861803,"score_spread":0.2707432715567547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049916115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02246136,0.000034274806,0.9706639,0.0011404349,0.000016057578,0.001453612,0.0038721547,0.00011129567,0.00024692732],"genre_scores_gemma":[0.88889295,0.000042436805,0.108303554,0.0001709915,0.000026281066,0.0012338969,0.0010945863,0.0000143916095,0.00022091462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988501,0.00007233087,0.00039533636,0.0003112106,0.00015585434,0.00021515272],"domain_scores_gemma":[0.9981193,0.001028818,0.00010150809,0.00021643889,0.00034288588,0.00019103286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002030334,0.00015192927,0.00018963813,0.000019021363,0.00026528907,0.00010278097,0.00007282519,0.000088395755,0.00023412694],"category_scores_gemma":[0.0013997499,0.00013946577,0.00001803845,0.00015529622,0.00019391575,0.00012265795,0.000055782275,0.00013131353,0.0000950794],"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":[0.0000046908044,0.00011945367,0.00034709176,0.00018789529,0.000010230446,1.894828e-7,0.000051758212,0.0000013049907,0.000027198525,0.983942,0.004348267,0.010959968],"study_design_scores_gemma":[0.0003090467,0.000029814148,0.026017778,0.000012060989,0.00004413274,0.0000097357415,0.00004831086,0.035372466,0.000033691314,0.93547314,0.0024787688,0.0001710749],"about_ca_topic_score_codex":0.000019663732,"about_ca_topic_score_gemma":0.00003127629,"teacher_disagreement_score":0.8664316,"about_ca_system_score_codex":0.000049433645,"about_ca_system_score_gemma":0.00003213213,"threshold_uncertainty_score":0.56872493},"labels":[],"label_agreement":null},{"id":"W2083716757","doi":"10.1155/2013/829131","title":"A Weighted Estimation for Risk Model","year":2013,"lang":"en","type":"article","venue":"ISRN Probability and Statistics","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":true,"ca_institutions":"Alberta Health; Brock University","funders":"","keywords":"Estimator; Computer science; Algorithm; Mean squared error; Pareto distribution; Lomax distribution; Pareto principle; Statistics; Mathematics","score_opus":0.03712264797069931,"score_gpt":0.230194749620688,"score_spread":0.1930721016499887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083716757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1950254,0.00014971996,0.8021398,0.00013458914,0.00006269413,0.00058230356,0.0015847612,0.000028155157,0.00029255723],"genre_scores_gemma":[0.5110926,0.00006973281,0.48850492,0.00004101802,0.000015853635,0.00009775311,0.000041587133,0.0000089600635,0.00012759755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891275,0.000011465381,0.000495087,0.00033608158,0.000026305808,0.00021830511],"domain_scores_gemma":[0.9992856,0.00016002804,0.00018177816,0.00020542051,0.000098659126,0.00006851492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004840102,0.000115538125,0.00025338153,0.00004967738,0.00018998593,0.000079055026,0.000072045405,0.00009288126,0.000044184522],"category_scores_gemma":[0.0006916892,0.00012741693,0.00004022804,0.00006290618,0.00007302662,0.00021413753,0.000026583371,0.000108294305,0.00005910441],"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":[0.000018152554,0.00007273982,0.020151446,0.00012385719,0.000011707623,6.9725814e-8,0.0005076489,0.0042875507,0.000001825663,0.9370312,0.0006323994,0.037161425],"study_design_scores_gemma":[0.00015407309,0.000029825278,0.005225241,0.0000027406413,0.0000040207665,1.515059e-7,0.000004653298,0.49988502,0.0000020657744,0.49444184,0.00017262944,0.00007772163],"about_ca_topic_score_codex":0.0005265684,"about_ca_topic_score_gemma":0.00012727304,"teacher_disagreement_score":0.49559748,"about_ca_system_score_codex":0.000043898286,"about_ca_system_score_gemma":0.000023648168,"threshold_uncertainty_score":0.51959115},"labels":[],"label_agreement":null},{"id":"W2140193997","doi":"10.5402/2012/946415","title":"Efficient Hedging of Options with Probabilistic Haar Wavelets","year":2012,"lang":"en","type":"article","venue":"ISRN Probability and Statistics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","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":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Haar; Wavelet; Computer science; Transaction cost; Probabilistic logic; Haar wavelet; Mathematical optimization; Basis (linear algebra); Path (computing); Mathematics; Applied mathematics; Wavelet transform; Discrete wavelet transform; Finance; Economics; Artificial intelligence","score_opus":0.029974374999728767,"score_gpt":0.22454765104737448,"score_spread":0.1945732760476457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140193997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063346475,0.00068798166,0.9332827,0.00009151233,0.00009034878,0.00040662976,0.0008551924,0.000021925376,0.0012172604],"genre_scores_gemma":[0.83342063,0.000014592024,0.16636823,0.000024007026,0.00004558312,0.00007260822,0.000016036887,0.000010750801,0.000027530336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989722,0.000005268047,0.00044514306,0.00025234677,0.000044864537,0.00028018354],"domain_scores_gemma":[0.9991666,0.00013385611,0.00021940174,0.00024549378,0.00012918375,0.00010548034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003885227,0.00012129508,0.00028323822,0.00005836771,0.00013474117,0.00001909872,0.00008806043,0.000054655782,0.00002867705],"category_scores_gemma":[0.00050367415,0.00011775449,0.000024455941,0.0002056955,0.00021050964,0.000050342576,0.000042847703,0.00009869352,0.000026368998],"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":[0.000012795356,0.0002521756,0.0099714575,0.00018801638,0.000012064986,1.6213414e-7,0.0005440365,0.00036450275,0.0000038768126,0.98759246,0.00001269518,0.0010457417],"study_design_scores_gemma":[0.0003452517,0.0001316174,0.0819233,0.00003016194,0.000025251718,0.000006584402,0.000076116215,0.013107684,0.000011706818,0.90281546,0.0012724051,0.00025443692],"about_ca_topic_score_codex":0.00006502582,"about_ca_topic_score_gemma":0.000025569134,"teacher_disagreement_score":0.7700742,"about_ca_system_score_codex":0.000045096465,"about_ca_system_score_gemma":0.000032532927,"threshold_uncertainty_score":0.48018888},"labels":[],"label_agreement":null}]}