{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"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"},"query_hash":"eab42ad073d1","filters":{"venue":"Journal of Stochastic Analysis"}},"results":[{"id":"W4386634438","doi":"10.31390/josa.4.1.05","title":"Modelling Illiquid Stocks Using Quantum Stochastic Calculus","year":2023,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Calculus (dental); Stochastic calculus; Mathematics; Applied mathematics; Econometrics; Mathematical economics; Statistical physics; Mathematical analysis; Physics; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.2129380809126336,"gpt":0.4296853549063195,"spread":0.2167472739936859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01625963,0.0004120923,0.001720491,0.006043577,0.0004491605,0.0003379841,0.001525827,0.0001984266,0.0004026244],"category_scores_gemma":[0.0146236,0.0003109317,0.00161255,0.01369706,0.0002212019,0.0005096827,0.0003107166,0.0006732648,0.0001234064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000262494,"about_ca_system_score_gemma":0.0003856726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008418661,"about_ca_topic_score_gemma":0.000007486332,"domain_scores_codex":[0.9907197,0.0007683562,0.002891456,0.0006708143,0.004149823,0.0007998575],"domain_scores_gemma":[0.9863163,0.007544987,0.002584937,0.0008925513,0.002123216,0.0005380337],"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":[0.0001715655,0.00004102707,0.0001171055,0.000003836268,0.001023986,0.00007489064,0.0006352524,0.9935251,0.0001416649,0.0003442313,0.0002452927,0.003676019],"study_design_scores_gemma":[0.0004274703,0.000175269,0.0002846227,0.00006465753,0.002482082,0.0001402164,0.001774842,0.9745087,0.000009976347,0.01979238,0.00002457132,0.0003151959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3053513,0.0001525717,0.6934235,0.0001268316,0.0007069583,0.0001083889,0.00001362637,0.00004300786,0.00007379096],"genre_scores_gemma":[0.9691452,0.000003742356,0.02991299,0.00004793675,0.0004606986,0.000003644744,0.000002519362,0.00004682477,0.0003763931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.663794,"threshold_uncertainty_score":0.9999343,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3168608154","doi":"10.31390/josa.2.2.01","title":"Exact Solutions to Optimal Control Problems for Wiener Processes with Exponential Jumps","year":2021,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential function; Applied mathematics; Mathematics; Control (management); Calculus (dental); Mathematical economics; Mathematical optimization; Computer science; Mathematical analysis; Medicine; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01387590073357054,"gpt":0.2212254443734388,"spread":0.2073495436398682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002557833,0.0001504402,0.0005299037,0.0003000283,0.0001299965,0.00008178719,0.0001337456,0.00005200031,0.0001286682],"category_scores_gemma":[0.0005839159,0.0001245163,0.0003377134,0.0009745879,0.00003465018,0.0001859376,0.00001218089,0.0001212158,0.000002684034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009950886,"about_ca_system_score_gemma":0.0002423819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006527761,"about_ca_topic_score_gemma":0.0004243364,"domain_scores_codex":[0.998711,0.00002915395,0.0005117748,0.0001598206,0.0003201765,0.0002680707],"domain_scores_gemma":[0.9980536,0.0004004752,0.0001270224,0.00017577,0.001070296,0.0001728208],"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":[0.0001259856,0.0001308768,0.00005751793,0.00008348353,0.002604531,0.000002938624,0.0004190437,0.9944314,0.001539672,0.0001227291,0.00003798648,0.0004437986],"study_design_scores_gemma":[0.00618582,0.001078627,0.003382785,0.0002329724,0.01944786,0.00005454167,0.002311514,0.9639801,0.0006900738,0.00166192,0.0002525733,0.0007211451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1181031,0.0003886566,0.8805178,0.0006058984,0.00008697143,0.0002021915,0.00005293099,0.00002464807,0.00001782608],"genre_scores_gemma":[0.9933209,0.000005611648,0.006359494,0.0000319227,0.0001654069,0.0000537799,0.00001034773,0.00001573379,0.00003683143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8752177,"threshold_uncertainty_score":0.5077627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008422581","doi":"10.31390/josa.1.1.01","title":"The Semimartingale Dynamics and Generator of a Continuous Time Semi-Markov Chain","year":2020,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Mathematical Control Systems and Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Semimartingale; Markov chain; Generator (circuit theory); Dynamics (music); Mathematics; Statistical physics; Computer science; Applied mathematics; Physics; Statistics; Acoustics","retraction":null,"screen_n_in":null,"score":{"opus":0.004991988800041632,"gpt":0.1992881700600155,"spread":0.1942961812599739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056394,0.0001209714,0.0007427355,0.0001455348,0.0001157073,0.0001331177,0.0005223355,0.00003979498,0.00001559005],"category_scores_gemma":[0.0006283637,0.00007294986,0.0004174296,0.000952656,0.00006675364,0.0001231954,0.0001158851,0.0001436141,0.000002804554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000241896,"about_ca_system_score_gemma":0.00004766829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000975382,"about_ca_topic_score_gemma":0.000009324945,"domain_scores_codex":[0.9982676,0.0001134834,0.0008491724,0.0001564722,0.0004425834,0.0001706858],"domain_scores_gemma":[0.9977648,0.0005172726,0.0009603315,0.0002263583,0.0003316848,0.0001995541],"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":[0.0008874711,0.001428373,0.0130544,0.001155799,0.09654568,0.0006407261,0.02076012,0.1888657,0.06562851,0.3612808,0.008719165,0.2410332],"study_design_scores_gemma":[0.0002258893,0.0001074339,0.00009963023,0.0000209502,0.000982806,0.00001324441,0.0001367771,0.9977167,0.00002593297,0.000571511,0.00002153844,0.00007763421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02354831,0.000667685,0.9728914,0.002696029,0.00002142026,0.00005130526,0.000004096907,0.000008100577,0.000111657],"genre_scores_gemma":[0.9951099,0.000008941822,0.004482467,0.0001293661,0.00009481995,0.000001270677,4.035333e-7,0.000005220336,0.0001676201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9715616,"threshold_uncertainty_score":0.2974809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3055070902","doi":"10.31390/josa.1.3.03","title":"General Product Formula of Multiple Integrals of Lévy Process","year":2020,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","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 Alberta","funders":"","keywords":"Product (mathematics); Process (computing); Mathematics; Calculus (dental); Applied mathematics; Computer science; Medicine; Programming language; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.1189444302246864,"gpt":0.382444407024635,"spread":0.2634999767999486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002520703,0.0001395883,0.001138405,0.0006272327,0.00004816096,0.00003298798,0.0009187135,0.0000570644,0.0001689337],"category_scores_gemma":[0.008854476,0.00008292304,0.0008478189,0.002848529,0.000178918,0.0003864659,0.00008054367,0.0002254424,0.000004545719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002298745,"about_ca_system_score_gemma":0.0002149804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002245267,"about_ca_topic_score_gemma":0.00001505096,"domain_scores_codex":[0.9957441,0.0001324207,0.00198091,0.0002737496,0.00169694,0.0001718617],"domain_scores_gemma":[0.9946503,0.0006100051,0.002071609,0.0003409819,0.002130223,0.0001968596],"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":[0.0006584303,0.0003724377,0.01885782,0.00006980001,0.00182758,0.000007956563,0.005896938,0.9551627,0.005706304,0.001093593,0.0003306471,0.01001576],"study_design_scores_gemma":[0.001371276,0.000921913,0.01009017,0.00008905388,0.002763061,0.00002309856,0.00339171,0.8961154,0.01315834,0.07170353,0.00005835452,0.00031407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5649388,0.0002727555,0.433949,0.0006477231,0.00004302174,0.00007474152,0.00002450876,0.000002664104,0.00004683981],"genre_scores_gemma":[0.9944225,0.000008473758,0.005344377,0.00004384504,0.0001223163,0.000001169425,0.000001198229,0.000005671861,0.00005042638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4294838,"threshold_uncertainty_score":0.9994944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3136923130","doi":"10.31390/josa.2.1.08","title":"New Representations for a Semi-Markov Chain and Related Filters","year":2021,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Computer science; Chain (unit); Mathematics; Statistics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.00934621621335232,"gpt":0.2434113369404774,"spread":0.2340651207271251,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003915732,0.00008523039,0.0003729181,0.0002597201,0.00008614351,0.0001162269,0.000248339,0.00004569714,0.00001692871],"category_scores_gemma":[0.0003358846,0.00006989029,0.0003354158,0.0009807408,0.00001777393,0.0002110728,0.00005555913,0.00009781204,0.000001430266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003010758,"about_ca_system_score_gemma":0.0001639672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002244904,"about_ca_topic_score_gemma":0.000008369364,"domain_scores_codex":[0.9988832,0.00006397114,0.0004749714,0.0001891796,0.0002456609,0.000143011],"domain_scores_gemma":[0.9985664,0.0003734278,0.0003734366,0.0002332244,0.0002903006,0.000163184],"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":[0.0003482293,0.0004550079,0.003769533,0.0001298431,0.03487214,0.001219765,0.01204817,0.3765296,0.006607223,0.371066,0.02800944,0.1649451],"study_design_scores_gemma":[0.003900128,0.0003898064,0.007232901,0.0001136894,0.004454906,0.0009459863,0.001707115,0.8811858,0.00005831612,0.0993164,0.0002571384,0.0004377898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001665292,0.001037619,0.9938332,0.002549372,0.0001873537,0.00006073944,0.000002457016,0.000010074,0.0006538769],"genre_scores_gemma":[0.9644662,0.00001336272,0.03357878,0.0001156728,0.0001067107,0.000003361649,0.000002144187,0.000004164897,0.001709606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9628009,"threshold_uncertainty_score":0.2850043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3010738241","doi":"10.31390/josa.1.1.05","title":"Exit Problems for Jump-Diffusion Processes with Uniform Jumps","year":2020,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jump; Jump diffusion; Diffusion; Statistical physics; Computer science; Mathematics; Physics; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.09157995428973563,"gpt":0.340637400503949,"spread":0.2490574462142133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003359101,0.0001499543,0.0006294753,0.0003984728,0.00009334513,0.00005168902,0.000197925,0.00004933766,0.0001228528],"category_scores_gemma":[0.00186375,0.00009326837,0.0002952412,0.002145746,0.0000417743,0.0001396787,0.00002566306,0.000139978,0.000001927725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002238282,"about_ca_system_score_gemma":0.0001074287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004179567,"about_ca_topic_score_gemma":0.00001206793,"domain_scores_codex":[0.9986423,0.00003493758,0.0005991676,0.0001455973,0.0004064099,0.0001716347],"domain_scores_gemma":[0.9974556,0.000803537,0.00074744,0.0001139273,0.0006828997,0.0001966199],"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":[0.01547613,0.01324738,0.004715281,0.02198577,0.09206577,0.0001788137,0.03970505,0.4177331,0.01322305,0.1793859,0.01741314,0.1848706],"study_design_scores_gemma":[0.007455088,0.009452452,0.000762859,0.0009091931,0.05195073,0.0000734554,0.004281989,0.5123188,0.000969311,0.4083867,0.001963017,0.00147642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02144108,0.00007500683,0.9773733,0.0007708677,0.00002409215,0.0001892868,0.000009428984,0.00001576096,0.0001011945],"genre_scores_gemma":[0.7635311,0.00002330022,0.2360119,0.00009501862,0.0001966447,0.00001459661,0.000005130034,0.00002319054,0.00009912997],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.74209,"threshold_uncertainty_score":0.3803374,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3214736048","doi":"10.31390/josa.2.4.03","title":"Recursive and Viterbi Estimation for Semi-Markov Chains","year":2021,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Viterbi algorithm; Markov chain; Computer science; Estimation; Iterative Viterbi decoding; Markov model; Soft output Viterbi algorithm; Algorithm; Artificial intelligence; Hidden Markov model; Machine learning; Economics; Decoding methods; Sequential decoding","retraction":null,"screen_n_in":null,"score":{"opus":0.005134301881481835,"gpt":0.2234043029175558,"spread":0.218270001036074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001752769,0.00007607734,0.000299326,0.0002344253,0.00003999916,0.00003960152,0.00003755179,0.00004446974,0.0000193835],"category_scores_gemma":[0.0001472194,0.00006935174,0.0002011781,0.0003693459,0.000009900612,0.0000845351,0.00000470024,0.00008254577,0.000001070783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004960396,"about_ca_system_score_gemma":0.00001620025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001943519,"about_ca_topic_score_gemma":0.00001045752,"domain_scores_codex":[0.9993849,0.00001716491,0.0003092213,0.0000673353,0.0001283628,0.00009297135],"domain_scores_gemma":[0.999429,0.0001193748,0.000118936,0.00007061884,0.0001881313,0.00007392735],"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":[0.00004460934,0.00001898568,0.00004186832,0.00006376471,0.002959272,0.00001641546,0.000439233,0.9740436,0.003438657,0.0003036326,0.0003046711,0.01832529],"study_design_scores_gemma":[0.0004588491,0.00004720977,0.0002425473,0.00003611329,0.001204861,0.00007447381,0.0003933765,0.9968695,0.0001999653,0.0002705944,0.0001258395,0.00007669246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04084658,0.0008764023,0.9577993,0.0001192428,0.0002118981,0.00004685918,0.000007778563,0.00001387006,0.00007809758],"genre_scores_gemma":[0.997521,0.0000177751,0.00215939,0.00002596566,0.0001244193,0.000004782929,0.000003391468,0.000008746832,0.0001344694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9566745,"threshold_uncertainty_score":0.2828082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386105553","doi":"10.31390/josa.4.2.02","title":"Modelling Illiquid Stocks Using Quantum Stochastic Calculus: Asymptotic Methods","year":2023,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Applied mathematics; Calculus (dental); Mathematics; Econometrics; Computer science; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.09067264372357788,"gpt":0.3120789401310294,"spread":0.2214062964074516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00293543,0.000341572,0.001986789,0.003490482,0.0002980688,0.0001602869,0.0004968833,0.0001498238,0.0006803474],"category_scores_gemma":[0.0003594786,0.0003409986,0.001650305,0.005208384,0.00009233481,0.0003401384,0.0001289281,0.0003679159,0.000165197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801154,"about_ca_system_score_gemma":0.00007462122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007538509,"about_ca_topic_score_gemma":0.0000142877,"domain_scores_codex":[0.9961653,0.00009951559,0.002422345,0.0004827153,0.0002374421,0.000592713],"domain_scores_gemma":[0.9962485,0.0003810014,0.002205387,0.0005249848,0.0003403437,0.0002998108],"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":[0.00003313584,0.00004580467,0.000129926,0.00001981253,0.004082826,0.00001762599,0.0004975233,0.9763749,0.000022005,0.0185761,0.00004296802,0.0001573969],"study_design_scores_gemma":[0.0003610378,0.0001181085,0.0001381977,0.00004624126,0.002047733,0.00003306493,0.0009871975,0.9821135,0.000001896949,0.0136738,0.0001248648,0.0003543416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09657893,0.001846402,0.9007171,0.0001227826,0.0004128531,0.0001082341,0.00005092634,0.00003605194,0.0001266992],"genre_scores_gemma":[0.9811143,0.00003055358,0.01804814,0.00003266271,0.0003376307,0.000004889928,0.00001138442,0.00005174835,0.0003686654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8845354,"threshold_uncertainty_score":0.9999042,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386634684","doi":"10.31390/josa.3.1.04","title":"New Limit Theorems for Increments of Birth-and-Death Processes with Linear Rates","year":2022,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of Toronto; York University","keywords":"Birth–death process; Limit (mathematics); Mathematics; Calculus (dental); Statistics; Demography; Mathematical analysis; Medicine; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.09325379784649071,"gpt":0.3707688377692755,"spread":0.2775150399227848,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003229665,0.0001172688,0.0006450031,0.0007395908,0.0002131985,0.00005771205,0.0005648752,0.00002739589,0.0002830536],"category_scores_gemma":[0.002440715,0.000066911,0.0002620366,0.001957058,0.00007217397,0.0002354625,0.0001232465,0.0001577818,8.427526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003477983,"about_ca_system_score_gemma":0.0005374367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003525254,"about_ca_topic_score_gemma":0.0000352677,"domain_scores_codex":[0.9972099,0.0001118525,0.0008997378,0.0002260724,0.00139779,0.000154637],"domain_scores_gemma":[0.9955769,0.001875814,0.001176618,0.0002341245,0.000997454,0.0001390645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002370804,0.0003494679,0.02244073,0.00005874529,0.002992394,0.000008256809,0.002859844,0.9553391,0.0001654515,0.006130722,0.0003268334,0.006957663],"study_design_scores_gemma":[0.005054018,0.006698868,0.008014106,0.0001328938,0.007548554,0.0001416074,0.01217303,0.2916111,0.0008527432,0.6660705,0.001044882,0.0006576866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2265674,0.0005858134,0.7722713,0.0003650914,0.00003052314,0.0001136901,0.00002799623,0.000002935894,0.00003525716],"genre_scores_gemma":[0.9859245,0.00002420095,0.01357405,0.0000419664,0.0000595609,0.000005781183,0.000001315255,0.00000683576,0.0003618001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7593571,"threshold_uncertainty_score":0.3099239,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391551396","doi":"10.31390/josa.4.3.03","title":"Backward Stochastic Differential Equations in a Semi-Markov Chain Model","year":2023,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Stochastic differential equation; Applied mathematics; Continuous-time Markov chain; Mathematics; Chain (unit); Balance equation; Differential equation; Statistical physics; Markov model; Mathematical analysis; Physics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.09978826214638185,"gpt":0.4032556973569411,"spread":0.3034674352105592,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002167595,0.0001626964,0.0006480207,0.003534615,0.0001412097,0.0001487804,0.0006953603,0.00009621425,0.0004225548],"category_scores_gemma":[0.002733553,0.0001252362,0.0005847693,0.007685,0.0000725429,0.0002358022,0.0001133362,0.0002774688,0.00009974759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009956738,"about_ca_system_score_gemma":0.0001385644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001627449,"about_ca_topic_score_gemma":0.00003722878,"domain_scores_codex":[0.9961867,0.0001104446,0.001547842,0.0003082996,0.001571439,0.0002752416],"domain_scores_gemma":[0.9956636,0.002220013,0.0008243302,0.0004620333,0.000649137,0.0001808659],"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":[0.00002200725,0.00004986472,0.0001576714,8.796723e-7,0.0001459043,0.000003274448,0.0002930224,0.9929308,0.0002183089,0.002308469,0.0004879385,0.003381829],"study_design_scores_gemma":[0.0003174033,0.00003255439,0.002485047,0.00001510548,0.0003835463,0.000002535608,0.0004386695,0.949694,0.000008600119,0.04649406,0.00001028247,0.0001181337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09045228,0.00002542207,0.9083472,0.000818504,0.00006239772,0.0001338505,0.00002830287,0.00003362979,0.00009841363],"genre_scores_gemma":[0.9970902,0.000003860792,0.001754228,0.00003578972,0.0001205517,0.00002004683,0.0000110052,0.00001255748,0.0009518255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9066378,"threshold_uncertainty_score":0.5106986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}