{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":15,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":15,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5faa0e8b1571","filters":{"venue":"Stochastics"}},"results":[{"id":"W1996929291","doi":"10.1080/17442508.2013.859388","title":"A generalized pricing framework addressing correlated mortality and interest risks: a change of probability measure approach","year":2014,"lang":"en","type":"article","venue":"Stochastics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Valuation (finance); Econometrics; Measure (data warehouse); Interest rate; Actuarial science; Risk measure; Economics; Derivative (finance); Computer science; Mathematics; Financial economics; Finance; Data mining","authors":[{"name":"Xiaoming Liu","is_ca":true},{"name":"Rogemar Mamon","is_ca":true},{"name":"Gao Huan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2691333990047604,"gpt":0.3802546721395909,"spread":0.1111212731348304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002640825,0.000223329,0.0004410635,0.000129012,0.0004279043,0.00009088851,0.0003094,0.0002461728,0.00001401273],"category_scores_gemma":[0.00149854,0.0002155602,0.0001107865,0.0005727116,0.0008418669,0.0001657746,0.0001516064,0.0003697909,0.000002048931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007945063,"about_ca_system_score_gemma":0.00005508943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003896757,"about_ca_topic_score_gemma":0.001479604,"domain_scores_codex":[0.9974009,0.000590585,0.0004729147,0.0004623236,0.0006191205,0.0004541002],"domain_scores_gemma":[0.9985242,0.0002099661,0.0003682926,0.0004653239,0.0002750753,0.0001571099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001178254,0.0006210627,0.457009,0.0007897306,0.0003387097,0.000003597742,0.04305496,0.0006958033,0.00006172248,0.4773615,0.0001148762,0.01983122],"study_design_scores_gemma":[0.001846925,0.000297412,0.8290867,0.001187906,0.0007428366,0.00000211003,0.005915435,0.03523176,0.00004096079,0.1233973,0.001004426,0.001246217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7607771,0.0003163869,0.2333573,0.0001007766,0.0004949344,0.0012411,0.00002181271,0.0001277661,0.003562826],"genre_scores_gemma":[0.9843061,0.00004350099,0.01511524,0.00009648323,0.0003116387,0.00008434516,0.000008370814,0.00002203516,0.00001227019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3720777,"threshold_uncertainty_score":0.8790289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058307814","doi":"10.1080/17442500701841156","title":"On financial markets based on telegraph processes","year":2008,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Arbitrage; Financial market; Quantile; Black–Scholes model; Economics; Stochastic differential equation; Mathematical economics; Econometrics; Markov chain; Mathematics; Applied mathematics; Financial economics; Finance; Volatility (finance); Statistics","authors":[{"name":"Nikita Ratanov","is_ca":false},{"name":"Alexander Melnikov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02410979389755778,"gpt":0.2079594874113299,"spread":0.1838496935137721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001333456,0.0002391101,0.0003408154,0.0002871192,0.0003689759,0.00002543052,0.0002936278,0.0001405109,0.00009685342],"category_scores_gemma":[0.001526359,0.0002649756,0.00009625951,0.0007109142,0.0001334212,0.0000614815,0.00002695988,0.0002314622,0.0008567067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006064189,"about_ca_system_score_gemma":0.0001707243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001654284,"about_ca_topic_score_gemma":0.00000524959,"domain_scores_codex":[0.9985758,0.000002521381,0.0004418496,0.0005114311,0.00009419859,0.0003742039],"domain_scores_gemma":[0.9988895,0.0002529319,0.0002366217,0.000401691,0.0001012704,0.0001179686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001178557,0.0003266452,0.0002895635,0.00004680192,0.000006730027,0.00001004112,0.00009002729,0.0007958243,0.000002108712,0.9950829,0.002607061,0.0006244751],"study_design_scores_gemma":[0.001817795,0.001005374,0.02438573,0.0001197074,0.00001407584,0.00001769026,0.0000135009,0.01344324,0.0001130571,0.9318593,0.02618357,0.001027013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009456201,0.0002421819,0.965629,0.0004212881,0.000370183,0.0003471749,0.0003998194,0.0001049826,0.02302915],"genre_scores_gemma":[0.9941338,0.00002733263,0.003552748,0.001495963,0.0002664556,0.000185738,0.0000294597,0.00003990982,0.0002685783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9846776,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907889314","doi":"10.1080/17442508.2018.1563605","title":"Limiting behaviour for arrays of rowwise widely orthant dependent random variables under conditions of <i>R</i> − <i>h</i>-integrability and its applications","year":2019,"lang":"en","type":"article","venue":"Stochastics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Science Foundation of Anhui Province; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Orthant; Mathematics; Convergence (economics); Law of large numbers; Consistency (knowledge bases); Convergence of random variables; Random variable; Estimator; Limiting; Moment (physics); Triangular array; Applied mathematics; Nonparametric statistics; Discrete mathematics; Combinatorics; Statistics","authors":[{"name":"Yi Wu","is_ca":false},{"name":"Xuejun Wang","is_ca":false},{"name":"Tien-Chung Hu","is_ca":false},{"name":"Manuel Ordóñez Cabrera","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07113993821984936,"gpt":0.3474108270597816,"spread":0.2762708888399322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002154524,0.0001468465,0.0004851653,0.0001130331,0.0001376939,0.00003552695,0.0003749648,0.0001131302,0.00005503845],"category_scores_gemma":[0.001683435,0.0001129135,0.0001481082,0.0002706332,0.0001933031,0.0001721959,0.00011696,0.0001300908,0.00001032748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002554247,"about_ca_system_score_gemma":0.0001900922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002754622,"about_ca_topic_score_gemma":0.0000644135,"domain_scores_codex":[0.9977244,0.00008923672,0.0009290724,0.0004529343,0.0005857423,0.0002186657],"domain_scores_gemma":[0.9938142,0.004083396,0.0004767741,0.000545966,0.0009746449,0.0001050722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008686479,0.001718352,0.02349655,0.0004919374,0.0001861912,7.058829e-7,0.002532592,0.1659978,0.06207576,0.737682,0.0003524378,0.004597019],"study_design_scores_gemma":[0.004600593,0.0004539507,0.002459269,0.0001420641,0.0002941613,0.00001324554,0.002809542,0.1223781,0.0169184,0.8492641,0.000214046,0.0004525452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3117816,0.0001308061,0.6855108,0.0001274684,0.0001035284,0.00127233,0.0007807564,0.00001448027,0.0002782356],"genre_scores_gemma":[0.9925627,0.00001378307,0.00702704,0.00004424406,0.00002470844,0.0001428914,0.00002137277,0.00001082908,0.000152456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6807811,"threshold_uncertainty_score":0.4604478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104505819","doi":"10.1080/17442500701434325","title":"Change of filtrations and mean–variance hedging","year":2007,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China; Ryerson University","keywords":"Martingale (probability theory); Mathematics; Variance (accounting); Measure (data warehouse); Mean value; Value (mathematics); Weighted arithmetic mean; Econometrics; Applied mathematics; Statistics; Economics; Computer science","authors":[{"name":"Michael Kohlmann","is_ca":false},{"name":"Dewen Xiong","is_ca":false},{"name":"Zhongxing Ye","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05046932752768168,"gpt":0.2480597336524609,"spread":0.1975904061247792,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000253755,0.00008315288,0.0001900506,0.0001113111,0.0000949669,0.00001431745,0.00009831432,0.00005870908,0.00001750899],"category_scores_gemma":[0.0001425223,0.0001022385,0.0000294697,0.0002528222,0.00009158934,0.0000983255,0.0000355293,0.00007399981,0.00003020985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001733443,"about_ca_system_score_gemma":0.00001046264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001486,"about_ca_topic_score_gemma":0.00003771744,"domain_scores_codex":[0.9992208,6.017942e-7,0.0003711637,0.0001961247,0.00002683401,0.0001845079],"domain_scores_gemma":[0.9994304,0.00007880546,0.000208814,0.0001682475,0.00005397013,0.00005974416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004531753,0.00002688452,0.0006442564,0.0000210335,0.000006376303,4.243632e-7,0.0006652193,0.00000722239,0.0000481046,0.9963513,0.00001718992,0.002207442],"study_design_scores_gemma":[0.0005807483,0.0001439573,0.0564101,0.00005171829,0.00001865043,0.00001003098,0.0004096992,0.004911396,0.0001655375,0.9303906,0.00650147,0.0004061085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006583802,0.001429571,0.98647,0.0001766967,0.0001532184,0.0001760355,0.0001403407,0.00002129232,0.004849046],"genre_scores_gemma":[0.9845682,0.00003418471,0.01499816,0.0001199668,0.0001846061,0.00002932505,0.000007503513,0.00001214198,0.00004593809],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9779844,"threshold_uncertainty_score":0.4169167,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106672948","doi":"10.1080/17442508.2014.956103","title":"Integration with respect to Lévy colored noise, with applications to SPDEs","year":2014,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Gaussian noise; Colors of noise; Mathematics; Noise (video); Covariance; Mathematical analysis; Fourier transform; Fourier analysis; Covariance function; Applied mathematics; Computer science; Algorithm; White noise; Statistics; Image (mathematics)","authors":[{"name":"Raluca M. Balan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01956729762213524,"gpt":0.2293737579800336,"spread":0.2098064603578984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001607657,0.0001823595,0.0002928543,0.0002251734,0.0002042808,0.00008102771,0.0002699967,0.00006234585,0.00002045227],"category_scores_gemma":[0.0001652576,0.0001680594,0.00002874953,0.0008904231,0.00005757376,0.00007181562,0.00004714217,0.0001145311,0.0007615212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008592736,"about_ca_system_score_gemma":0.00004054377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009222031,"about_ca_topic_score_gemma":0.0002268262,"domain_scores_codex":[0.9988242,0.000002260275,0.0003376066,0.0004838853,0.00006696898,0.0002851041],"domain_scores_gemma":[0.9989555,0.00007940698,0.0001602085,0.0004469851,0.0001596809,0.0001982582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008908284,0.00006010872,0.0001508349,0.000010167,0.00001278599,3.028954e-7,0.0003451114,0.001614552,0.000112179,0.9938152,0.0002457216,0.003543897],"study_design_scores_gemma":[0.002523796,0.005300673,0.03665594,0.0002264407,0.00009949813,0.00004075917,0.0008022923,0.01324751,0.0008094391,0.6354351,0.3025222,0.002336324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004316196,0.000041001,0.9845988,0.001402284,0.00005065639,0.001009256,0.0001483302,0.0000801218,0.008353339],"genre_scores_gemma":[0.8782972,0.000001985053,0.1190324,0.0007561969,0.0002398486,0.00131361,0.00002959561,0.00004005907,0.0002891872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8739809,"threshold_uncertainty_score":0.9788068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2936677704","doi":"10.1080/17442508.2019.1602129","title":"Existence and uniqueness of stochastic equations of optional semimartingales under monotonicity condition","year":2019,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Uniqueness; Mathematics; Monotonic function; Stochastic differential equation; Lipschitz continuity; Semimartingale; Class (philosophy); Applied mathematics; Mathematical analysis; Computer science","authors":[{"name":"Mohamed Abdelghani","is_ca":false},{"name":"Alexander Melnikov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02755927806212527,"gpt":0.2467462783185186,"spread":0.2191870002563933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002010657,0.0001087143,0.0003188435,0.0001308135,0.00006000606,0.00001034016,0.0001274552,0.0000802905,0.00004857079],"category_scores_gemma":[0.0002175361,0.0001308541,0.00005047621,0.0002287074,0.0001717763,0.00009958151,0.00005749493,0.00008885059,0.00003609944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003360891,"about_ca_system_score_gemma":0.00005483228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007271452,"about_ca_topic_score_gemma":0.000006730957,"domain_scores_codex":[0.998992,0.000003158597,0.0005532232,0.0002468511,0.00005771974,0.0001471077],"domain_scores_gemma":[0.9988411,0.0002496661,0.0005076523,0.0002103732,0.0001451395,0.00004608041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000121375,0.00005884101,0.0003769663,0.00005823653,0.00001565621,4.677253e-8,0.0001392187,0.004088362,0.000565325,0.994589,0.000003163517,0.00009307095],"study_design_scores_gemma":[0.0004569548,0.0001295151,0.01227717,0.00005766144,0.00001750861,0.000002887808,0.0001803003,0.04717679,0.0002886762,0.9391951,0.00002315224,0.0001942619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1693044,0.0004230139,0.8286056,0.00008471333,0.00008403787,0.0002622396,0.0003812603,0.0000114662,0.000843299],"genre_scores_gemma":[0.9932126,0.000008544575,0.006578181,0.0000331771,0.00002527407,0.00003885074,0.00003429462,0.00001234238,0.00005675229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8239082,"threshold_uncertainty_score":0.5336074,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075806242","doi":"10.1080/17442508.2012.660942","title":"Three dimensional distribution of Brownian motion extrema","year":2012,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Maxima and minima; Mathematics; Maxima; Brownian motion; Mathematical analysis; Joint probability distribution; Distribution (mathematics); Joint (building); Statistical physics; Statistics; Physics","authors":[{"name":"Marcos Escobar","is_ca":true},{"name":"Sebastián Ferrando","is_ca":true},{"name":"Xianzhang Wen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0334975345782832,"gpt":0.2236562475771835,"spread":0.1901587129989003,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000188705,0.0001029799,0.0002118866,0.00005928064,0.00008952041,0.00000866655,0.0001123721,0.00008321866,0.00006296926],"category_scores_gemma":[0.000178849,0.0001181762,0.00006676823,0.0002330418,0.00007047017,0.000122723,0.00004701846,0.00008261923,0.0002356471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005099644,"about_ca_system_score_gemma":0.00001308312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007784541,"about_ca_topic_score_gemma":0.000008959451,"domain_scores_codex":[0.9991271,0.000001014735,0.0004033737,0.0001675138,0.00004802438,0.0002529749],"domain_scores_gemma":[0.9993344,0.000042475,0.000260608,0.0002101497,0.00006531749,0.00008703214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007667767,0.0001240734,0.003962257,0.00001606823,0.00000966366,7.569582e-8,0.00005992109,0.0001188544,0.00003104034,0.9936268,0.0001757249,0.00186781],"study_design_scores_gemma":[0.0005301738,0.00009345255,0.219868,0.00002761918,0.00002451583,0.000009231773,0.00002602363,0.0155201,0.0001390668,0.7588713,0.004522048,0.0003684873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02451646,0.0009101022,0.972562,0.0001316599,0.0003590527,0.0001517755,0.0005310164,0.00002481997,0.0008131163],"genre_scores_gemma":[0.9962535,0.000003081885,0.003275988,0.0000299602,0.0002542355,0.00003006173,0.0001203389,0.00001306695,0.0000197636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971737,"threshold_uncertainty_score":0.4819084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081918542","doi":"10.1080/10451120500114045","title":"On the Poisson equation for singular diffusions","year":2005,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Mathematics; Stochastic differential equation; Mathematical analysis; Eigenvalues and eigenvectors; Sobolev space; Covariance; Bounded function; Poisson's equation; Uniqueness; Applied mathematics","authors":[{"name":"Seyed N. Hashemi §","is_ca":true},{"name":"Andrew J. Heunis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04932904687462685,"gpt":0.2410473415639984,"spread":0.1917182946893715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002048991,0.0001040913,0.0001463341,0.00006669835,0.0003310595,0.00004091997,0.0001879651,0.00006390962,0.0000645928],"category_scores_gemma":[0.0007719418,0.00009192267,0.00007472565,0.0001637736,0.00004322,0.00004417248,0.00002708117,0.00009175949,0.0004356683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005880103,"about_ca_system_score_gemma":0.00001685641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001313336,"about_ca_topic_score_gemma":0.000005522647,"domain_scores_codex":[0.9992311,0.000001308726,0.0002966724,0.0002284044,0.00003542815,0.0002070999],"domain_scores_gemma":[0.9991527,0.000319728,0.0001678959,0.0002653329,0.00005079747,0.0000435363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008727767,0.00006424597,0.000004040801,0.000003823277,0.000006333249,3.706838e-8,0.0001505738,0.0006483177,0.00002258479,0.9960225,0.0007317344,0.002337107],"study_design_scores_gemma":[0.0002630287,0.00008516465,0.0002347277,0.000009299813,0.000007014941,6.054668e-7,0.00002753222,0.07022642,0.00004223609,0.8996863,0.02928022,0.0001374031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002696488,0.0002132417,0.9859339,0.006887774,0.0001783404,0.0004650243,0.0001756178,0.00003586156,0.003413744],"genre_scores_gemma":[0.9850987,0.000007254374,0.01249906,0.001204503,0.0004458586,0.0003104006,0.00002784993,0.00002472353,0.0003816842],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9824022,"threshold_uncertainty_score":0.5599779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392693946","doi":"10.1080/17442508.2024.2320846","title":"Stochastic near-optimal controls for treatment and vaccination in a COVID-19 model with transmission incorporating Lévy jumps","year":2024,"lang":"en","type":"article","venue":"Stochastics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"Ministerio de Ciencia e Innovación","keywords":"Epidemic model; Vaccination; Uniqueness; Coronavirus disease 2019 (COVID-19); Pandemic; Mathematical modelling of infectious disease; A priori and a posteriori; Mathematical optimization; Optimal control; Mathematics; Public health; Transmission (telecommunications); Maximum principle; Stochastic modelling; Computer science; Applied mathematics; Disease; Infectious disease (medical specialty); Medicine; Virology; Population; Statistics; Environmental health","authors":[{"name":"Driss Bouggar","is_ca":true},{"name":"Mohamed El Fatini","is_ca":false},{"name":"Bouchra Nasri","is_ca":true},{"name":"Roger Petersson","is_ca":false},{"name":"Idriss Sekkak","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1620488778403961,"gpt":0.4157365940829902,"spread":0.2536877162425941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006842159,0.00030672,0.0005609476,0.0001129473,0.0002339318,0.00009304882,0.00008157261,0.0001288787,0.000008179579],"category_scores_gemma":[0.003026163,0.0002083926,0.00007841003,0.0002024197,0.00008763562,0.0001098612,0.00004090455,0.0001312552,0.000001659852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799813,"about_ca_system_score_gemma":0.0003779846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005116377,"about_ca_topic_score_gemma":0.0001600374,"domain_scores_codex":[0.998452,0.00006684841,0.0004659728,0.0004963335,0.000173385,0.0003454593],"domain_scores_gemma":[0.993437,0.006033905,0.0001155184,0.000160069,0.00006840656,0.0001851129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000975815,0.0002760642,0.000107215,0.001162351,0.000179457,0.00003175713,0.005092038,0.8524227,0.0002304174,0.103145,0.0003524051,0.03602482],"study_design_scores_gemma":[0.002022824,0.000851094,0.00003537961,0.0001794686,0.0001523072,0.000008071655,0.0001814666,0.8449646,0.000005544466,0.151247,0.0001407664,0.0002114529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02669879,0.0008054555,0.9674209,0.003087523,0.00003834782,0.001666003,0.00007152832,0.000182892,0.00002852799],"genre_scores_gemma":[0.8551059,0.00002608709,0.1438518,0.0002582245,0.00006137288,0.0005600991,0.00001540804,0.00004101921,0.00008007097],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8284071,"threshold_uncertainty_score":0.8498004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884733838","doi":"10.1080/17442508.2018.1499100","title":"Viscosity solutions and the pricing of European-style options in a Markov-modulated exponential Lévy model","year":2018,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Imperial Bank of Commerce (Canada)","funders":"","keywords":"Lipschitz continuity; Applied mathematics; Viscosity; Exponential function; Stochastic game; Mathematics; Convergence (economics); Stability (learning theory); Markov chain; Consistency (knowledge bases); Asset (computer security); Function (biology); Mathematical economics; Computer science; Mathematical analysis; Economics; Physics; Thermodynamics; Discrete mathematics","authors":[{"name":"Romuald Hervé Momeya","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0280348774681466,"gpt":0.2211386646719647,"spread":0.1931037872038181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005223679,0.0001010677,0.0002368496,0.0001289968,0.0002402575,0.00002455523,0.0001758527,0.00004624644,0.00001152349],"category_scores_gemma":[0.000225724,0.00009714293,0.00004351074,0.0003658624,0.0003944692,0.00007098391,0.0001485744,0.0001196496,0.00003764213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002833702,"about_ca_system_score_gemma":0.00002480543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581144,"about_ca_topic_score_gemma":0.00007486226,"domain_scores_codex":[0.9990342,0.000008662285,0.0004655172,0.0002421197,0.00003379551,0.0002156772],"domain_scores_gemma":[0.9993554,0.00006641438,0.0002155656,0.0002499738,0.0000731819,0.00003945638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003952267,0.00006979069,0.00004596674,0.00001135562,0.00001278269,2.364719e-7,0.001043336,0.001722114,0.0001565543,0.996518,0.00004755739,0.000332766],"study_design_scores_gemma":[0.001260335,0.00005500096,0.008157424,0.00002921029,0.00001828822,0.000003154159,0.00009504917,0.7399424,0.00001339804,0.2500392,0.0002141908,0.0001722978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03688986,0.0004489741,0.9565973,0.000312124,0.00009062719,0.0002670099,0.0001807726,0.00001871444,0.005194614],"genre_scores_gemma":[0.9932138,0.00004500766,0.006458873,0.00005815516,0.000102746,0.0000288435,0.00001024441,0.00001497714,0.00006738921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563239,"threshold_uncertainty_score":0.3961374,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3194506622","doi":"10.1080/17442508.2021.1960348","title":"Some mean convergence theorems for weighted sums of Banach space valued random elements","year":2021,"lang":"en","type":"article","venue":"Stochastics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Banach space; Convergence (economics); Integrable system; Order (exchange); Pure mathematics; Space (punctuation); Weak convergence; Unconditional convergence; Eberlein–Šmulian theorem; Modes of convergence (annotated index); Mathematical analysis; Discrete mathematics; Compact convergence; Lp space; Rate of convergence; Computer science","authors":[{"name":"Pingyan Chen","is_ca":false},{"name":"Manuel Ordóñez Cabrera","is_ca":false},{"name":"Andrew Rosalsky","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08285926177932976,"gpt":0.362737553040193,"spread":0.2798782912608632,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002871486,0.0001609408,0.0004750939,0.0001016785,0.0001592193,0.00006003084,0.0005973727,0.0001037944,0.0002338072],"category_scores_gemma":[0.003968622,0.0001177789,0.0002215134,0.0004786559,0.0002504976,0.0001851938,0.0001707178,0.0001148089,0.00004352132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003161733,"about_ca_system_score_gemma":0.0002559704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001126406,"about_ca_topic_score_gemma":0.00004223529,"domain_scores_codex":[0.9970283,0.0002030936,0.0008225973,0.0005068789,0.001105053,0.0003341121],"domain_scores_gemma":[0.9958923,0.00188607,0.0003124015,0.0007462901,0.00103161,0.0001313179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008416881,0.0003071075,0.001555464,0.00006458112,0.000153761,0.000006578878,0.002648903,0.004334071,0.006559791,0.9739387,0.004561755,0.005027572],"study_design_scores_gemma":[0.002153171,0.0001048676,0.0001263156,0.00002215198,0.00004501544,0.000001027425,0.0005318193,0.1514379,0.01674669,0.8278905,0.0007802848,0.0001602291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241132,0.0005659157,0.8726119,0.0005300986,0.001106156,0.0005354026,0.0002059417,0.00002559787,0.0003057539],"genre_scores_gemma":[0.9771662,0.00003172192,0.02120083,0.000125331,0.0001448802,0.00002547023,0.00001932894,0.0000146172,0.001271562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8530531,"threshold_uncertainty_score":0.4802884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063749878","doi":"10.1080/17442508.2014.883078","title":"Refinement of convergence rate for the strong law of large numbers in Banach space","year":2014,"lang":"en","type":"article","venue":"Stochastics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Banach space; Law of large numbers; Mathematics; Independent and identically distributed random variables; Sequence (biology); Rate of convergence; Convergence (economics); Space (punctuation); Random variable; Sequence space; Set (abstract data type); Discrete mathematics; Pure mathematics; Law; Statistics; Computer science; Economics; Political science","authors":[{"name":"Deli Li","is_ca":true},{"name":"Aurel Spătaru","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08832071740825634,"gpt":0.3870442365249659,"spread":0.2987235191167096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004339393,0.00007606767,0.0002303304,0.00004424483,0.00006817889,0.00001219735,0.000478479,0.00004536984,0.00005722822],"category_scores_gemma":[0.001997834,0.00004572791,0.00007433012,0.0002337446,0.0002136422,0.00006010039,0.000101,0.00007612661,0.000007144547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001556906,"about_ca_system_score_gemma":0.0000493922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002080451,"about_ca_topic_score_gemma":0.001625693,"domain_scores_codex":[0.9985517,0.0001057711,0.0005001393,0.0002042503,0.0004446525,0.0001935394],"domain_scores_gemma":[0.9966617,0.002329425,0.0002313528,0.0004877574,0.0002543007,0.00003550007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000693592,0.00007178585,0.0009934428,0.0000197583,0.000009424955,8.834902e-8,0.0007336196,0.0339634,0.0002540578,0.9624174,0.0005774975,0.0008901422],"study_design_scores_gemma":[0.001436243,0.0003253057,0.003038224,0.00005460852,0.00003468324,3.487378e-7,0.001898812,0.6371582,0.00338753,0.3406216,0.01186281,0.00018168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04935112,0.00006659023,0.9478397,0.0007579754,0.0002931654,0.0003282201,0.00007943441,0.000004511905,0.001279246],"genre_scores_gemma":[0.9969707,0.00000515439,0.002712724,0.00007329013,0.000021457,0.00001257872,0.000001237297,0.000004206122,0.0001986171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9476196,"threshold_uncertainty_score":0.2391738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406554668","doi":"10.1080/17442508.2025.2452846","title":"On the strong laws of large numbers for double arrays of blockwise quasi-orthogonal random variables","year":2025,"lang":"en","type":"article","venue":"Stochastics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"National Foundation for Science and Technology Development","keywords":"Mathematics; Law of large numbers; Random variable; Law; Statistical physics; Statistics; Physics; Political science","authors":[{"name":"Vu Thi Ngoc Anh","is_ca":false},{"name":"Lê Vǎn Thành","is_ca":false},{"name":"Andrei Volodin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07365690465502696,"gpt":0.3769085238735727,"spread":0.3032516192185458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003543135,0.0001259718,0.0004008524,0.0001120878,0.0001816578,0.00003431958,0.0006350927,0.00009339378,0.00009121528],"category_scores_gemma":[0.002944377,0.00007334356,0.0002108365,0.0004156001,0.0002325094,0.00006415341,0.0001094387,0.0001313724,0.000005930446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001790464,"about_ca_system_score_gemma":0.0002089914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002704448,"about_ca_topic_score_gemma":0.00007435612,"domain_scores_codex":[0.9980089,0.0001007149,0.0006793186,0.0002900764,0.0006747424,0.0002462166],"domain_scores_gemma":[0.9925038,0.006113199,0.0002785915,0.0006101203,0.0004499267,0.00004436553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001047443,0.0002484697,0.0001320302,0.00002397286,0.00004372877,1.45382e-7,0.0003894157,0.02927156,0.0001827768,0.966171,0.001891596,0.0005978933],"study_design_scores_gemma":[0.004102601,0.0002021219,0.00007393281,0.00008623774,0.00006660317,4.023127e-7,0.000796303,0.09424718,0.001873932,0.8969303,0.001508894,0.0001114437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0591985,0.00006348372,0.934777,0.0005212156,0.0003767165,0.0006368338,0.0003199344,0.00001126214,0.004095063],"genre_scores_gemma":[0.9943708,0.000003155128,0.00467702,0.0001007646,0.00003267768,0.00003947406,0.000004494285,0.000006123471,0.0007654527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9351723,"threshold_uncertainty_score":0.3524907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392788355","doi":"10.1080/17442508.2024.2307015","title":"Criteria for what makes a local optional martingale a true martingale","year":2024,"lang":"en","type":"article","venue":"Stochastics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Martingale pricing; Martingale (probability theory); Doob's martingale inequality; Local martingale; Mathematics; Econometrics; Applied mathematics","authors":[{"name":"Mohamed Abdelghani","is_ca":false},{"name":"Alexander Melnikov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04105569542682345,"gpt":0.2803652169695771,"spread":0.2393095215427536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003342417,0.000174395,0.000278014,0.00015475,0.0001946826,0.0003844545,0.0001878845,0.0001114713,0.0001804791],"category_scores_gemma":[0.0002398364,0.0002038143,0.0001455783,0.0002889926,0.0001091707,0.0003135831,0.00005745102,0.0001401676,0.0005219098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008244845,"about_ca_system_score_gemma":0.0000619698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001669603,"about_ca_topic_score_gemma":0.000007795599,"domain_scores_codex":[0.9985482,0.000001929492,0.0005515266,0.0004834354,0.00004890997,0.0003659871],"domain_scores_gemma":[0.9992986,0.0001925862,0.0001226353,0.0002196087,0.00007412018,0.00009248271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002195718,0.00004780259,0.00001276466,0.0001478734,0.00002555251,0.000002122869,0.0003027808,0.0001475965,0.00005458306,0.9867578,0.002030146,0.01044909],"study_design_scores_gemma":[0.0003166093,0.0001344636,0.0002257543,0.0001307177,0.00002054267,0.00001698361,0.0002754617,0.1548737,0.00004981514,0.7662922,0.07732373,0.000340099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00107519,0.005201943,0.988277,0.001678793,0.001274748,0.0004138029,0.0006472807,0.0001295575,0.001301681],"genre_scores_gemma":[0.9614784,0.0000617742,0.03469885,0.000439518,0.001205181,0.0008041983,0.0001179924,0.00007736652,0.001116704],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9604032,"threshold_uncertainty_score":0.8311307,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990209519","doi":"10.1080/17442508.2010.523467","title":"Randomized stopping times and coherent multiperiod risk measures","year":2010,"lang":"en","type":"article","venue":"Stochastics","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Representation (politics); Randomized controlled trial; Stopping time; Feature (linguistics); Optimal stopping; Computer science; Mathematics; Statistics; Medicine; Philosophy; Linguistics","authors":[{"name":"Hyejin Ku","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04385878517443498,"gpt":0.3425239926315008,"spread":0.2986652074570658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002945243,0.0001414674,0.0004037455,0.000161052,0.0002513076,0.0002559085,0.0002327646,0.0001004345,0.0001794223],"category_scores_gemma":[0.01019962,0.00009484464,0.00009324356,0.0002128927,0.000279898,0.0001334247,0.00007381044,0.0002569556,0.00008264941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005307093,"about_ca_system_score_gemma":0.0000500262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005671984,"about_ca_topic_score_gemma":0.00008779686,"domain_scores_codex":[0.9980987,0.0001923135,0.0004925006,0.0003099461,0.0007208479,0.0001856465],"domain_scores_gemma":[0.9972818,0.001609646,0.000295756,0.0003583252,0.0003188448,0.0001356151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0156001,0.0001758486,0.01630374,0.000005513295,0.0001879833,0.00001306032,0.008767339,0.03295054,0.002175703,0.03372902,0.008013053,0.8820781],"study_design_scores_gemma":[0.1136563,0.0001065999,0.004039753,0.00002239222,0.0002271233,0.00003551404,0.001026218,0.7446887,0.0004901757,0.0640351,0.07094382,0.0007282857],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2419407,0.0003663645,0.7521841,0.0002056847,0.001306044,0.0005498042,0.00002800617,0.00006613789,0.003353203],"genre_scores_gemma":[0.9814999,0.0003773866,0.01690055,0.000050245,0.0001689364,0.00002003672,0.000003778814,0.00001276147,0.0009663727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8813498,"threshold_uncertainty_score":0.9981379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}