{"meta":{"query_hash":"78dba79848b7","filters":{"venue":"Probability in the Engineering and Informational Sciences"},"cohort_total":68,"direct_labels_cover":1,"predictions_cover":68,"exported":68,"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/78dba79848b7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Probability+in+the+Engineering+and+Informational+Sciences"},"results":[{"id":"W1980785143","doi":"10.1017/s0269964809990222","title":"THE <i>N</i>-NETWORK MODEL WITH UPGRADES","year":2010,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Division of Civil, Mechanical and Manufacturing Innovation","keywords":"Queue; Server; Computer science; Service (business); Order (exchange); Class (philosophy); Control (management); Queueing theory; Operations research; Computer network; Work (physics); Holding cost; Stability (learning theory); Mathematical optimization; Real-time computing; Business; Mathematics; Engineering; Finance","score_opus":0.0089960027096487,"score_gpt":0.19692584448858022,"score_spread":0.18792984177893152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980785143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.352279,0.0011417397,0.5543593,0.0071668364,0.00076780375,0.00027082383,0.0023699556,0.00079834694,0.080846235],"genre_scores_gemma":[0.9441286,0.00052935025,0.019483076,0.0005259827,0.0002750681,0.00017492916,0.00034167236,0.00006300104,0.034478296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989642,0.00027552308,0.00004196498,0.00023791792,0.00016195483,0.00031846776],"domain_scores_gemma":[0.9986615,0.00044232805,0.00030522599,0.00012285759,0.00020425099,0.00026371636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014427912,0.0010097052,0.0012442868,0.00076460565,0.0009734524,0.002282259,0.0032848122,0.0027085443,0.008161968],"category_scores_gemma":[0.0027886648,0.00058912736,0.0007547145,0.0011663106,0.001732468,0.0032132557,0.0015480239,0.0022640356,0.0010147942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030226863,0.0001774639,0.001633399,0.00011065328,0.000051239072,0.00093689014,0.00012215797,0.80620086,0.002694281,0.17531145,0.0046392563,0.007820045],"study_design_scores_gemma":[0.00004295487,0.00004892845,0.00035882217,0.0000083913,0.000017118953,0.00007623092,0.000038102247,0.97695655,0.00016552646,0.020819943,0.0014480938,0.000019445733],"about_ca_topic_score_codex":0.016245773,"about_ca_topic_score_gemma":0.010969128,"teacher_disagreement_score":0.016245773,"about_ca_system_score_codex":0.0028747728,"about_ca_system_score_gemma":0.0013625473,"threshold_uncertainty_score":0.03230244},"labels":[],"label_agreement":null},{"id":"W2008051519","doi":"10.1017/s0269964801151053","title":"MAXIMIZING THE TIME SPENT BY A DIFFUSION PROCESS IN AN INTERVAL","year":2001,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interval (graph theory); Diffusion process; Diffusion; Process (computing); Variable (mathematics); Mathematical optimization; Computer science; Applied mathematics; Control (management); Mathematics; Combinatorics; Mathematical analysis; Thermodynamics; Physics; Innovation diffusion","score_opus":0.021907686038101722,"score_gpt":0.22381794670913005,"score_spread":0.20191026067102832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008051519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3893456,0.0011211162,0.60012645,0.0010696852,0.00006512061,0.00006656002,0.000084801526,0.00020214301,0.007918465],"genre_scores_gemma":[0.9508012,0.0007345417,0.04268179,0.00006373922,0.000059180264,0.00009492309,0.00007979752,0.000083091916,0.0054018097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991321,0.0003865257,0.000048328682,0.0001833702,0.00012778507,0.00012186756],"domain_scores_gemma":[0.99629176,0.0025311687,0.000386053,0.00017683022,0.00024609212,0.00036802777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002360962,0.0009485883,0.0011204248,0.0006480369,0.0003383005,0.0014300648,0.0011258578,0.0014768083,0.0023045847],"category_scores_gemma":[0.0075789695,0.00033071,0.0005309924,0.0005922906,0.0011123508,0.0017884993,0.0010916631,0.0008099094,0.00020473656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007980821,0.00016614379,0.0018796445,0.0003392541,0.00017216516,0.00021436682,0.00027622806,0.70734257,0.023180109,0.22569798,0.0009970139,0.038936462],"study_design_scores_gemma":[0.00007612501,0.00039003653,0.00094171666,0.000037758542,0.00005584743,0.00006557951,0.000044289096,0.94247013,0.00516899,0.04965155,0.0010541909,0.000043810032],"about_ca_topic_score_codex":0.0010727022,"about_ca_topic_score_gemma":0.00052653055,"teacher_disagreement_score":0.002360962,"about_ca_system_score_codex":0.0014005624,"about_ca_system_score_gemma":0.00096163474,"threshold_uncertainty_score":0.0124861},"labels":[],"label_agreement":null},{"id":"W2011959093","doi":"10.1017/s0269964813000259","title":"ON DYNAMIC PROPORTIONAL MEAN RESIDUAL LIFE MODEL","year":2013,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Residual; Closure (psychology); Mathematics; Applied mathematics; Statistics; Computer science; Algorithm; Economics","score_opus":0.05347599729634399,"score_gpt":0.3135804699214846,"score_spread":0.2601044726251406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011959093","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08227029,0.0020674209,0.8939623,0.0016889671,0.0002431492,0.000063750624,0.00068304705,0.00042887192,0.01859231],"genre_scores_gemma":[0.9378964,0.0017394896,0.033743,0.0005230873,0.00025421046,0.00016298432,0.0008066829,0.00016739957,0.024706647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990429,0.00019964426,0.00004176546,0.0002982517,0.00022204041,0.00019535325],"domain_scores_gemma":[0.9987214,0.00041846317,0.00027056097,0.0001320033,0.00033115127,0.00012636113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016510693,0.0008108508,0.0009908443,0.0011743977,0.0006555773,0.001200887,0.0026585779,0.0016562627,0.0053216643],"category_scores_gemma":[0.0047420277,0.00024413876,0.0010620236,0.001065967,0.0012535092,0.0031174482,0.0014292146,0.0015914275,0.00081937946],"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":[0.00008453304,0.00006049312,0.003185779,0.0001702028,0.000046620935,0.00042479398,0.0003218612,0.23076135,0.0029423246,0.73426926,0.0050060246,0.02272666],"study_design_scores_gemma":[0.000014227536,0.000070921524,0.0006242978,0.000020539594,0.000027257027,0.0003056935,0.00005359721,0.7929515,0.0004094302,0.20107757,0.004412078,0.000032834883],"about_ca_topic_score_codex":0.004694046,"about_ca_topic_score_gemma":0.0024957363,"teacher_disagreement_score":0.0053216643,"about_ca_system_score_codex":0.001278148,"about_ca_system_score_gemma":0.0009283742,"threshold_uncertainty_score":0.017802715},"labels":[],"label_agreement":null},{"id":"W2029706857","doi":"10.1017/s0269964802163042","title":"PRODUCTION-INVENTORY MODELS WITH AN UNRELIABLE FACILITY OPERATING IN A TWO-STATE RANDOM ENVIRONMENT","year":2002,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":6,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Poisson process; Process (computing); Poisson distribution; Computer science; Compound Poisson process; State (computer science); Buffer (optical fiber); Continuous production; Mathematical optimization; Mathematics; Statistics; Environmental science; Algorithm; Economics; Microeconomics","score_opus":0.01637524462792858,"score_gpt":0.18932367316205156,"score_spread":0.17294842853412298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029706857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51907754,0.0014861886,0.45493826,0.002883571,0.00024196098,0.00028211175,0.0026712834,0.0009498712,0.017469207],"genre_scores_gemma":[0.9740063,0.00046991796,0.011568793,0.0000858919,0.000083814484,0.00020641075,0.0004328848,0.000058271155,0.013087812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810755,0.00070610794,0.000098407916,0.00033706368,0.0002245324,0.0005263287],"domain_scores_gemma":[0.9925851,0.004129579,0.0015091276,0.00038680667,0.00064509694,0.0007441885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003206407,0.0023434479,0.0026355453,0.0014553679,0.0010296111,0.0036271769,0.0047586244,0.0037506393,0.006744664],"category_scores_gemma":[0.006085073,0.0015946347,0.0014730673,0.0020011447,0.0028413518,0.0028932749,0.0021221733,0.00198066,0.0010570841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000256549,0.00010397595,0.0010409855,0.000046071993,0.00004224056,0.00033853587,0.00007872121,0.9648982,0.00045700057,0.03136436,0.00037396073,0.0009994222],"study_design_scores_gemma":[0.00006473107,0.000055924418,0.0002699053,0.0000053764115,0.0000271643,0.000024638126,0.00002684094,0.99358267,0.00008099421,0.0056724227,0.00016614384,0.00002315993],"about_ca_topic_score_codex":0.017094506,"about_ca_topic_score_gemma":0.00799351,"teacher_disagreement_score":0.017094506,"about_ca_system_score_codex":0.0025048947,"about_ca_system_score_gemma":0.0013817614,"threshold_uncertainty_score":0.033989966},"labels":[],"label_agreement":null},{"id":"W2035381730","doi":"10.1017/s0269964807000319","title":"A BAYESIAN APPROACH TO FIND RANDOM-TIME PROBABILITIES FROM EMBEDDED MARKOV CHAIN PROBABILITIES","year":2007,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"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 British Columbia, Okanagan Campus; University of British Columbia; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Markov renewal process; Variable-order Markov model; Markov property; Examples of Markov chains; Computer science; Uniformization (probability theory); Markov chain mixing time; Additive Markov chain; Chain rule (probability); Mathematics; Applied mathematics; Queueing theory; Algorithm; Markov model; Bayesian probability; Law of total probability; Posterior probability; Statistics","score_opus":0.010180313568437542,"score_gpt":0.20397603222117158,"score_spread":0.19379571865273404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035381730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017106358,0.00016012184,0.9966126,0.00013033167,0.000018969271,0.000018785444,0.000054815435,0.00005272102,0.001241004],"genre_scores_gemma":[0.19751278,0.0018497142,0.79179394,0.0003318149,0.0003173116,0.0003439658,0.00055407453,0.00019552039,0.007100854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981353,0.00075991603,0.00009039199,0.00029311766,0.0006084751,0.00011263293],"domain_scores_gemma":[0.99245864,0.0055464725,0.00054013886,0.00041716173,0.000838538,0.00019897394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038658802,0.00090362545,0.0012696686,0.0032487619,0.0007378451,0.002009639,0.0021948488,0.0016537469,0.0061160848],"category_scores_gemma":[0.021376746,0.0012433028,0.0013420263,0.0020492072,0.0016663919,0.0045631304,0.0021584826,0.0030338317,0.0012552501],"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":[0.000028610664,0.0000662527,0.00081200106,0.00015034596,0.000097033546,0.00017167577,0.0001453776,0.25904793,0.00087384094,0.6913743,0.0018071773,0.045425512],"study_design_scores_gemma":[0.000012804112,0.00001468528,0.00028520866,0.000051124018,0.000019374424,0.000087977336,0.000016436274,0.583798,0.0003978366,0.4126934,0.0025859752,0.00003715236],"about_ca_topic_score_codex":0.0044952934,"about_ca_topic_score_gemma":0.0048424145,"teacher_disagreement_score":0.0061160848,"about_ca_system_score_codex":0.0016327827,"about_ca_system_score_gemma":0.0023610923,"threshold_uncertainty_score":0.020460367},"labels":[],"label_agreement":null},{"id":"W2037897658","doi":"10.1017/s0269964814000072","title":"BIVARIATE EXTENSIONS OF SKELLAM'S DISTRIBUTION","year":2014,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Bivariate analysis; Univariate; Poisson distribution; Mathematics; Univariate distribution; Statistics; Joint probability distribution; Percentile; Multivariate statistics","score_opus":0.0495540241360722,"score_gpt":0.30853870959894014,"score_spread":0.25898468546286796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037897658","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060516413,0.0007775992,0.91548616,0.0013408363,0.00014903772,0.00008993059,0.00044964222,0.00024212211,0.020948246],"genre_scores_gemma":[0.86221296,0.0022599716,0.105352856,0.0006480734,0.0005645908,0.00047755503,0.0005625463,0.00018538986,0.027736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970245,0.0012025061,0.00013254356,0.0007208895,0.00061140175,0.00030816393],"domain_scores_gemma":[0.9879979,0.0062160376,0.0019234464,0.0016387757,0.001506266,0.00071760727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066359527,0.0010832533,0.0012379156,0.0020830303,0.0008017493,0.0023359025,0.0021670463,0.0015802401,0.010568504],"category_scores_gemma":[0.019975994,0.00068936613,0.002175203,0.0023117485,0.0030658483,0.004991938,0.0031041955,0.0038566636,0.0020073624],"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":[0.000044278386,0.00002993218,0.001540563,0.000040190134,0.000030850802,0.00025190078,0.00023587554,0.022539614,0.00057218503,0.9649613,0.0016850685,0.008068233],"study_design_scores_gemma":[0.00003461909,0.000085038984,0.0018542897,0.000058303147,0.00003101336,0.0005006926,0.00012690568,0.2673932,0.0004443944,0.7224349,0.006964076,0.00007259349],"about_ca_topic_score_codex":0.0019879576,"about_ca_topic_score_gemma":0.0015317593,"teacher_disagreement_score":0.010568504,"about_ca_system_score_codex":0.0014905247,"about_ca_system_score_gemma":0.0009373168,"threshold_uncertainty_score":0.03535515},"labels":[],"label_agreement":null},{"id":"W2042776149","doi":"10.1017/s0269964800143074","title":"SOME CONJECTURED UNIFORMLY OPTIMAL RELIABLE NETWORKS","year":2000,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Vermont; University of Victoria","keywords":"Conjecture; Mathematics; Combinatorics; Reliability (semiconductor); Graph; Discrete mathematics; Physics","score_opus":0.006028857549030835,"score_gpt":0.1803667193359299,"score_spread":0.17433786178689906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042776149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5789227,0.0021241237,0.3686791,0.0062181633,0.0001639143,0.000085248575,0.0009365613,0.000689269,0.042180948],"genre_scores_gemma":[0.9680806,0.0007689435,0.02782989,0.00044973852,0.000107265216,0.00010026528,0.0003183745,0.00006854238,0.0022764942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883264,0.00038832158,0.00006010552,0.00022123028,0.0002498416,0.0002479217],"domain_scores_gemma":[0.99102,0.005528888,0.0011255045,0.0009533967,0.0008848824,0.00048733348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002062775,0.00053850043,0.0007556947,0.0011630689,0.0014428983,0.0016469322,0.0019206008,0.0015502498,0.0030122274],"category_scores_gemma":[0.01945773,0.0006080333,0.0006734847,0.0008778207,0.0025329792,0.0036847075,0.0011353267,0.001476156,0.00023204632],"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":[0.0001894702,0.00005183607,0.0021052074,0.00016270294,0.000046859117,0.00024489328,0.00043777667,0.09895047,0.002015525,0.8778984,0.005613391,0.012283548],"study_design_scores_gemma":[0.000058504265,0.000066452834,0.0008668514,0.000055827073,0.000033622713,0.00025622037,0.00021968674,0.21360107,0.001708368,0.77917486,0.003928057,0.000030574294],"about_ca_topic_score_codex":0.0014572158,"about_ca_topic_score_gemma":0.0011719163,"teacher_disagreement_score":0.0030122274,"about_ca_system_score_codex":0.0018476099,"about_ca_system_score_gemma":0.0006107998,"threshold_uncertainty_score":0.013405383},"labels":[],"label_agreement":null},{"id":"W2047457430","doi":"10.1017/s0269964810000070","title":"UNIVARIATE AND MULTIVARIATE LIKELIHOOD RATIO ORDERING OF GENERALIZED ORDER STATISTICS AND ASSOCIATED CONDITIONAL VARIABLES","year":2010,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Univariate; Multivariate statistics; Statistics; Mathematics; Multivariate analysis; Order statistic; Econometrics; Order (exchange); Likelihood-ratio test; Economics","score_opus":0.028616993285068795,"score_gpt":0.2989835073797127,"score_spread":0.2703665140946439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047457430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046151303,0.0011128813,0.93878436,0.00067508966,0.00009336824,0.00005525389,0.00029108996,0.00020159347,0.012635073],"genre_scores_gemma":[0.6570076,0.0023605195,0.33142474,0.0005791997,0.0008627207,0.00022243152,0.0007438345,0.000259228,0.006539809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99743026,0.0012415639,0.00014380056,0.00036368467,0.0006376464,0.00018308178],"domain_scores_gemma":[0.98781556,0.0071007255,0.0023291733,0.0010801943,0.0011824953,0.0004917799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003422252,0.0007282111,0.00087441556,0.0017837597,0.00052791677,0.002150946,0.0009575156,0.000887857,0.004046782],"category_scores_gemma":[0.023949346,0.0003938165,0.00085207773,0.0017595314,0.0023301388,0.0038131536,0.0013133836,0.0019915958,0.000697323],"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":[0.000067057175,0.000023908877,0.0019291543,0.00013253676,0.000034913206,0.00033272392,0.00020608312,0.011430707,0.0023606096,0.950992,0.0015977969,0.03089249],"study_design_scores_gemma":[0.000020849426,0.0000791658,0.001855853,0.00003608096,0.000028374261,0.00062459905,0.00007715513,0.096467495,0.0013760562,0.8945025,0.004882893,0.000049079514],"about_ca_topic_score_codex":0.0011325673,"about_ca_topic_score_gemma":0.0011814327,"teacher_disagreement_score":0.004046782,"about_ca_system_score_codex":0.0010484853,"about_ca_system_score_gemma":0.0012942466,"threshold_uncertainty_score":0.018098772},"labels":[],"label_agreement":null},{"id":"W2053366633","doi":"10.1017/s0269964806060062","title":"ASYMPTOTIC RUIN PROBABILITIES IN FINITE HORIZON WITH SUBEXPONENTIAL LOSSES AND ASSOCIATED DISCOUNT FACTORS","year":2005,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Class (philosophy); Mathematics; Ruin theory; Mathematical economics; Applied mathematics; Discrete time and continuous time; Discounting; Distribution (mathematics); Risk model; Econometrics; Actuarial science; Economics; Statistics; Computer science; Finance; Mathematical analysis","score_opus":0.05211008877957142,"score_gpt":0.2828777666041899,"score_spread":0.2307676778246185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053366633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18081753,0.0030146027,0.80155504,0.0018439261,0.00011004786,0.000048107213,0.00015931748,0.00025031407,0.0122011155],"genre_scores_gemma":[0.97395146,0.0023378108,0.018447535,0.00013640757,0.00016283555,0.00007831443,0.000097164586,0.00005359765,0.0047348845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913424,0.00029706617,0.00003516742,0.00013847968,0.00019004096,0.00020505396],"domain_scores_gemma":[0.9877291,0.009068791,0.001564817,0.00059902814,0.00053019257,0.00050801225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004147285,0.0010996662,0.0016498655,0.0013042979,0.0005261477,0.0021618037,0.0020761883,0.0016216193,0.0032113164],"category_scores_gemma":[0.02286346,0.0006049694,0.0010160935,0.0010053847,0.0025226872,0.0051912297,0.0018777221,0.0033262132,0.00028388284],"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":[0.00011560365,0.000076693635,0.0014837895,0.00016233255,0.000060852304,0.00046293993,0.00025161242,0.29689458,0.0012018409,0.68783945,0.0011096073,0.01034068],"study_design_scores_gemma":[0.00001673437,0.00003948573,0.0004562879,0.000025702777,0.000028481518,0.00010812268,0.00003948016,0.68952084,0.00029244757,0.3088964,0.0005495564,0.000026497939],"about_ca_topic_score_codex":0.0029227813,"about_ca_topic_score_gemma":0.0017640666,"teacher_disagreement_score":0.004147285,"about_ca_system_score_codex":0.0019466468,"about_ca_system_score_gemma":0.00081701326,"threshold_uncertainty_score":0.021933258},"labels":[],"label_agreement":null},{"id":"W2055250090","doi":"10.1017/s0269964806060037","title":"MONOTONICITY AND CONVEXITY OF SOME FUNCTIONS ASSOCIATED WITH DENUMERABLE MARKOV CHAINS AND THEIR APPLICATIONS TO QUEUING SYSTEMS","year":2005,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","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":"Dalhousie University","funders":"","keywords":"Convexity; Monotonic function; Uniformization (probability theory); Markov chain; Monotone polygon; Countable set; Queueing theory; Mathematics; Stochastic dominance; Applied mathematics; Queue; Discrete time and continuous time; Mathematical optimization; Computer science; Discrete mathematics; Markov model; Markov property; Statistics; Mathematical analysis","score_opus":0.011284165596948028,"score_gpt":0.20164827932023482,"score_spread":0.1903641137232868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055250090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10286276,0.0027688027,0.87442446,0.001574059,0.00012565558,0.000069796806,0.00024310559,0.00014081296,0.017790532],"genre_scores_gemma":[0.8661131,0.006384545,0.12149735,0.000291525,0.0004903449,0.00021972222,0.00026533502,0.00019223639,0.004545794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99773824,0.0011041458,0.00012005237,0.00027197791,0.00048631412,0.0002792848],"domain_scores_gemma":[0.98671895,0.009928581,0.00092906004,0.0005363451,0.0014522326,0.0004348997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045016566,0.0010559215,0.0011395068,0.0025780469,0.0012189333,0.0026610456,0.000919718,0.0009149375,0.0018753186],"category_scores_gemma":[0.016402556,0.00056995,0.0012552848,0.0019926091,0.0034658273,0.004718414,0.0017028652,0.0034069521,0.0002600384],"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":[0.000057990026,0.00004962118,0.001479755,0.00013859056,0.000046580168,0.00036521067,0.00040356474,0.07085589,0.0025697825,0.90020907,0.001255094,0.022568995],"study_design_scores_gemma":[0.0000070912697,0.000035313475,0.0009585073,0.000052532134,0.000018284887,0.00021824046,0.00013348153,0.4998241,0.0012569121,0.49507838,0.0023787783,0.00003836708],"about_ca_topic_score_codex":0.0024087182,"about_ca_topic_score_gemma":0.0013158927,"teacher_disagreement_score":0.0045016566,"about_ca_system_score_codex":0.0018980489,"about_ca_system_score_gemma":0.0015355737,"threshold_uncertainty_score":0.023807287},"labels":[],"label_agreement":null},{"id":"W2065240344","doi":"10.1017/s0269964800144031","title":"RELIABILITY EVALUATION OF A LINEAR <i>k</i>-WITHIN-(<i>r</i>,<i>s</i>)-OUT-OF-(<i>m</i>,<i>n</i>):F LATTICE SYSTEM","year":2000,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":19,"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 Alberta; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lattice (music); Combinatorics; Mathematics; Rectangle; Dimension (graph theory); Crystal system; Discrete mathematics; Physics; Crystallography; Geometry; Crystal structure; Chemistry","score_opus":0.018821878345554873,"score_gpt":0.23109833343607655,"score_spread":0.21227645509052168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065240344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57477564,0.0001526008,0.41895887,0.0001987328,0.000015145823,0.00005686353,0.00012523543,0.0006721573,0.0050448347],"genre_scores_gemma":[0.97484004,0.000023900118,0.024319803,0.0000110115825,0.00000644453,0.000017509914,0.00007580593,0.000023899594,0.0006816274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996325,0.00008914686,0.00001678666,0.00006404617,0.00012137844,0.0000760586],"domain_scores_gemma":[0.9985967,0.0007263125,0.00013711768,0.00008760279,0.00036276775,0.00008953718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006305571,0.0002578028,0.00033449248,0.0004732395,0.00032419158,0.00052736024,0.00060558604,0.00028498462,0.002148619],"category_scores_gemma":[0.004132926,0.00017285845,0.00025374454,0.00026453554,0.0005606271,0.00071827,0.00042388515,0.00025090986,0.0003149504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044768208,0.000048719023,0.0077016256,0.000115103954,0.00003928866,0.00021222545,0.00013880664,0.91762936,0.018162033,0.007982475,0.0011232306,0.04639948],"study_design_scores_gemma":[0.000005609824,0.000041674935,0.0006016133,0.0000022232853,0.000007558423,0.000031014162,0.000015293268,0.9950558,0.0030706364,0.001072059,0.0000896888,0.0000068067893],"about_ca_topic_score_codex":0.006694969,"about_ca_topic_score_gemma":0.004716719,"teacher_disagreement_score":0.006694969,"about_ca_system_score_codex":0.001110753,"about_ca_system_score_gemma":0.00086782593,"threshold_uncertainty_score":0.013311982},"labels":[],"label_agreement":null},{"id":"W2077606261","doi":"10.1017/s0269964809000217","title":"A STATE-DEPENDENT POLLING MODEL WITH <i>k</i>-LIMITED SERVICE","year":2009,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Polling; Computer science; Queue; Bounding overwatch; Polling system; Multilevel queue; Bulk queue; Service (business); Poisson distribution; Fork–join queue; Priority queue; Queue management system; Production (economics); State (computer science); Mathematical optimization; Computer network; Real-time computing; Mathematics; Algorithm; Statistics","score_opus":0.014110783026944861,"score_gpt":0.20699591859233932,"score_spread":0.19288513556539447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077606261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30059847,0.0009867895,0.6703549,0.0027047675,0.00037371294,0.00025824868,0.0010115913,0.00085259666,0.022858907],"genre_scores_gemma":[0.976061,0.00032418346,0.011312526,0.00018204827,0.0000978469,0.00016668114,0.0001881977,0.000039488958,0.01162801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998618,0.0003566083,0.00006858015,0.0002834101,0.0002646388,0.0004087544],"domain_scores_gemma":[0.99681646,0.0015516108,0.0005123129,0.00030779917,0.0003828771,0.0004289656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014073611,0.001055576,0.0017708475,0.00077773316,0.0009413662,0.0030172665,0.0038593214,0.002921617,0.0057019535],"category_scores_gemma":[0.0039141392,0.00093078375,0.0011889935,0.0013357259,0.0021239836,0.002677795,0.0013022281,0.0024378607,0.0009910134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028696898,0.00015553029,0.0012089906,0.000085829255,0.000056853383,0.00055936043,0.00020879865,0.90542847,0.0026210996,0.08509168,0.0011683287,0.003128201],"study_design_scores_gemma":[0.00004148201,0.00003580528,0.0001849921,0.0000053895533,0.000020759991,0.00003662405,0.000023082488,0.99070346,0.00016763947,0.008460433,0.0003007395,0.000019491961],"about_ca_topic_score_codex":0.017200794,"about_ca_topic_score_gemma":0.007985954,"teacher_disagreement_score":0.017200794,"about_ca_system_score_codex":0.00250581,"about_ca_system_score_gemma":0.002152829,"threshold_uncertainty_score":0.034201384},"labels":[],"label_agreement":null},{"id":"W2078612429","doi":"10.1017/s0269964811000349","title":"ANALYTICALLY EXPLICIT RESULTS FOR THE <i>GI</i>/<i>C</i>-<i>MSP</i>/1/∞ QUEUEING SYSTEM USING ROOTS","year":2012,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simple (philosophy); Generating function; Markov chain; Applied mathematics; Queueing theory; Computer science; Mathematics; Epoch (astronomy); Distribution (mathematics); Queue; Matrix (chemical analysis); Geometric distribution; Function (biology); Algorithm; Mathematical optimization; Discrete mathematics; Probability distribution; Mathematical analysis; Statistics","score_opus":0.031089554356976593,"score_gpt":0.24670640045605283,"score_spread":0.21561684609907622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078612429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043129437,0.0011549748,0.939974,0.00047026356,0.000109986126,0.00008657578,0.00011716932,0.0003893845,0.014568169],"genre_scores_gemma":[0.7638531,0.0024745886,0.22065862,0.00022687169,0.0002250306,0.00014937212,0.00025687637,0.00046352897,0.011692072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99965835,0.000089247595,0.000016804395,0.000034977835,0.00014445755,0.000056247292],"domain_scores_gemma":[0.99789375,0.0014381998,0.00021256402,0.00009695965,0.00030841434,0.00005005837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010067007,0.0008772743,0.0006245769,0.0010907416,0.00048834726,0.0011774673,0.00070152193,0.000900635,0.0054518827],"category_scores_gemma":[0.007988173,0.0002891821,0.00059519656,0.0006789775,0.000948324,0.0027975289,0.00074807176,0.0019058228,0.0011986633],"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":[0.00005896613,0.00011581034,0.0009949405,0.00041274395,0.000031316016,0.00029344604,0.00059458404,0.3036526,0.012277019,0.6315004,0.0037460213,0.046322107],"study_design_scores_gemma":[0.000009186317,0.000022282944,0.00031895307,0.000038093436,0.0000117943955,0.00017133297,0.000093460265,0.89555603,0.0019521825,0.09954173,0.0022578542,0.000027076385],"about_ca_topic_score_codex":0.0016279334,"about_ca_topic_score_gemma":0.0017439539,"teacher_disagreement_score":0.0054518827,"about_ca_system_score_codex":0.0013178437,"about_ca_system_score_gemma":0.0013973375,"threshold_uncertainty_score":0.018238366},"labels":[],"label_agreement":null},{"id":"W2100264258","doi":"10.1017/s0269964808000119","title":"MAXIMIZING THE THROUGHPUT OF TANDEM LINES WITH FLEXIBLE FAILURE-PRONE SERVERS AND FINITE BUFFERS","year":2008,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Server; Computer science; Throughput; Reliability (semiconductor); Markov process; Heuristics; Computer network; Queueing theory; Distributed computing; Operating system; Mathematics; Statistics","score_opus":0.021854435115014066,"score_gpt":0.2063125399319547,"score_spread":0.18445810481694064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100264258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5262453,0.00034708015,0.46704763,0.00050619245,0.000042669504,0.00007641525,0.00015765474,0.00045425238,0.0051227924],"genre_scores_gemma":[0.9829069,0.00019396997,0.014923399,0.00003152913,0.000024033725,0.000045360957,0.000053099135,0.000037316076,0.0017843851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990588,0.00033436948,0.000032837295,0.00014024289,0.00014180351,0.00029186788],"domain_scores_gemma":[0.99656916,0.002240456,0.0004552552,0.00015163579,0.00027305973,0.00031049442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020426044,0.00096688047,0.0011322282,0.0011138433,0.0008552485,0.0019094169,0.0018072934,0.0011554862,0.0021636763],"category_scores_gemma":[0.006194616,0.00077219814,0.00054054434,0.0018670585,0.0017257779,0.002311402,0.0010084506,0.0006711463,0.00038120194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013002116,0.000041090538,0.00047101732,0.000024288614,0.000019995472,0.00010049576,0.000044728422,0.98266995,0.00197933,0.0106361285,0.00032171435,0.0035613778],"study_design_scores_gemma":[0.000015737087,0.000042146326,0.000109516055,0.0000029709533,0.000008208035,0.000014565728,0.000025572546,0.989017,0.0006590526,0.009991579,0.000106665546,0.0000069266594],"about_ca_topic_score_codex":0.006033571,"about_ca_topic_score_gemma":0.0037132052,"teacher_disagreement_score":0.006033571,"about_ca_system_score_codex":0.0030787268,"about_ca_system_score_gemma":0.0015003299,"threshold_uncertainty_score":0.022337854},"labels":[],"label_agreement":null},{"id":"W2104835255","doi":"10.1017/s0269964812000058","title":"DELAYS AT SIGNALIZED INTERSECTIONS WITH EXHAUSTIVE TRAFFIC CONTROL","year":2012,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Intersection (aeronautics); Limit (mathematics); Limiting; Poisson distribution; Heuristic; Simple (philosophy); Traffic model; Speed limit","score_opus":0.009257608818953279,"score_gpt":0.18670516395692618,"score_spread":0.17744755513797292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104835255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86046666,0.0003565242,0.13121462,0.0001722372,0.000030662304,0.00004077251,0.0001372286,0.00020957399,0.007371716],"genre_scores_gemma":[0.9967734,0.00006239057,0.0022329132,0.000010022278,0.0000056525623,0.000013132329,0.000029738958,0.000012310472,0.0008603099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994325,0.00010926202,0.00002187509,0.000115302166,0.00012871585,0.00019234528],"domain_scores_gemma":[0.99777406,0.001143088,0.00049097376,0.00010564191,0.0003052626,0.00018101258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006960595,0.00042848734,0.00048184601,0.0007892806,0.0006558726,0.001322198,0.0009211325,0.0006675171,0.0017204686],"category_scores_gemma":[0.0062617674,0.0003685053,0.0002690712,0.0006108743,0.0011195462,0.0018652262,0.0011268492,0.0006328271,0.00015316435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019000004,0.000073126816,0.003024322,0.000045203786,0.000021316886,0.00026115615,0.00013650427,0.9568202,0.0039939806,0.030906536,0.0002074731,0.0043201293],"study_design_scores_gemma":[0.000015039694,0.000043118405,0.00078168535,0.000008326319,0.00001274529,0.0000617051,0.00008812822,0.98671174,0.001862605,0.010122748,0.00027245798,0.00001967256],"about_ca_topic_score_codex":0.0071949256,"about_ca_topic_score_gemma":0.004909772,"teacher_disagreement_score":0.0071949256,"about_ca_system_score_codex":0.002168376,"about_ca_system_score_gemma":0.0016150429,"threshold_uncertainty_score":0.015732706},"labels":[],"label_agreement":null},{"id":"W2109494473","doi":"10.1017/s0269964808000053","title":"ON THE LAW OF THE <i>i</i>TH WAITING TIME IN A BUSY PERIOD OF <i>G</i>/<i>M</i>/<i>c</i> QUEUES","year":2007,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Recursion (computer science); Queue; Period (music); Mathematics; Combinatorics; Distribution (mathematics); Waiting period; Computer science; Discrete mathematics; Computer network; Physics; Algorithm; Mathematical analysis","score_opus":0.008955395829381386,"score_gpt":0.1980038958645435,"score_spread":0.18904850003516213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109494473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16543181,0.0028993278,0.78020936,0.0025337732,0.00043796815,0.00012184573,0.0004928249,0.00035811737,0.047514934],"genre_scores_gemma":[0.9008946,0.004791783,0.07105849,0.0012414546,0.0013337256,0.00024517122,0.00041086107,0.00035108812,0.019672869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991503,0.00020600986,0.00003284845,0.00016557526,0.00029782948,0.00014744204],"domain_scores_gemma":[0.99076045,0.0059776963,0.0010186264,0.0005559774,0.0012479548,0.00043934942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033094725,0.00073031127,0.0009912768,0.0019619146,0.0009758747,0.0022624407,0.0019713072,0.0010875429,0.0076213325],"category_scores_gemma":[0.018098662,0.00050197076,0.00078769785,0.0016838129,0.0050747064,0.0054362114,0.0011167825,0.0036430224,0.0017284103],"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":[0.000058212456,0.00009298395,0.0021315592,0.00008505324,0.00001847302,0.00027226875,0.0005692178,0.020865811,0.0038245644,0.95919585,0.0028193982,0.010066607],"study_design_scores_gemma":[0.000034870143,0.00009706504,0.003709153,0.00013160006,0.000035526646,0.0005410839,0.00022803144,0.37216076,0.0030714597,0.61512655,0.0047741565,0.00008969818],"about_ca_topic_score_codex":0.0048880912,"about_ca_topic_score_gemma":0.0025241468,"teacher_disagreement_score":0.0076213325,"about_ca_system_score_codex":0.0023160009,"about_ca_system_score_gemma":0.0012784683,"threshold_uncertainty_score":0.025495827},"labels":[],"label_agreement":null},{"id":"W2110664730","doi":"10.1017/s0269964801154021","title":"TWO CONTROL POLICIES FOR STOCHASTIC EOQ-TYPE MODELS","year":2001,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":12,"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","funders":"","keywords":"Brownian motion; Production (economics); Economic order quantity; Process (computing); Type (biology); Reflected Brownian motion; Geometric Brownian motion; Stochastic process; Control (management); Computer science; Mathematics; Mathematical optimization; Economics; Diffusion process; Microeconomics; Statistics; Business; Economy","score_opus":0.024857914471563103,"score_gpt":0.24723222408500475,"score_spread":0.22237430961344165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110664730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074023984,0.0006025313,0.9034907,0.0014322015,0.00024579477,0.00013720377,0.0002832871,0.0002875104,0.019496832],"genre_scores_gemma":[0.9471519,0.00046138876,0.040857296,0.00026007096,0.00015125859,0.00022556365,0.00012448554,0.000040772007,0.01072715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998398,0.00055045006,0.000093257964,0.00026803085,0.00034626777,0.00034391237],"domain_scores_gemma":[0.9957671,0.002137099,0.0007398606,0.00041061288,0.00052490743,0.0004203286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021437958,0.00096299715,0.0007833279,0.00055673905,0.00042319275,0.002078286,0.0015829395,0.0018519387,0.0036590137],"category_scores_gemma":[0.0072053657,0.00048094068,0.00069468305,0.00049319817,0.0017318865,0.0017032308,0.0018750054,0.0015653736,0.00042707822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013562973,0.00014083422,0.0009302438,0.00008864736,0.000034344735,0.00030968423,0.00017844199,0.3929633,0.0025869831,0.5863907,0.001646336,0.014594774],"study_design_scores_gemma":[0.000059633407,0.00006230716,0.0002699586,0.00001523011,0.000015292517,0.00005069161,0.000023450462,0.9053873,0.0005707837,0.091652855,0.0018661842,0.000026274594],"about_ca_topic_score_codex":0.0024849891,"about_ca_topic_score_gemma":0.00096694403,"teacher_disagreement_score":0.0036590137,"about_ca_system_score_codex":0.0011978335,"about_ca_system_score_gemma":0.000990984,"threshold_uncertainty_score":0.012240589},"labels":[],"label_agreement":null},{"id":"W2119189895","doi":"10.1017/s0269964808000120","title":"INSURANCE RISK WITH VARIABLE NUMBER OF POLICIES","year":2008,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciencetech (Canada)","funders":"","keywords":"Poisson distribution; Actuarial science; Poisson process; Random variable; Life insurance; Insurance policy; Compound Poisson process; Risk model; Econometrics; Business; Economics; Mathematics; Statistics","score_opus":0.0552043895538619,"score_gpt":0.29789300142796504,"score_spread":0.24268861187410315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119189895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64674,0.0019653607,0.34171465,0.0019641428,0.0001702409,0.0000984503,0.00039461206,0.00029727598,0.006655251],"genre_scores_gemma":[0.9763239,0.0005621549,0.017405275,0.00008000534,0.00013635076,0.00007715317,0.0001813059,0.000032607826,0.005201119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972364,0.00080864265,0.0001432677,0.0006042175,0.00067253475,0.0005349799],"domain_scores_gemma":[0.98688644,0.007947578,0.0022026752,0.0011520647,0.0008127251,0.0009984571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059075146,0.0010303726,0.0020103422,0.0015165255,0.0009063015,0.00326742,0.0028747946,0.0029958326,0.0040027485],"category_scores_gemma":[0.022953676,0.0008099422,0.0014614027,0.0012980662,0.0030102262,0.006216047,0.0020702197,0.0027771655,0.00038658973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000385445,0.00019704373,0.012325616,0.00010070355,0.00013689896,0.00091320917,0.00018854908,0.6884016,0.0015700657,0.2866834,0.00074194075,0.008355551],"study_design_scores_gemma":[0.0000446861,0.0000628726,0.0011276994,0.000011369256,0.00003090835,0.00012939505,0.00003259629,0.93488204,0.00028995489,0.06300268,0.00036178817,0.00002400554],"about_ca_topic_score_codex":0.0032455868,"about_ca_topic_score_gemma":0.0011833169,"teacher_disagreement_score":0.0059075146,"about_ca_system_score_codex":0.0020129373,"about_ca_system_score_gemma":0.0013139753,"threshold_uncertainty_score":0.031242311},"labels":[],"label_agreement":null},{"id":"W2123029116","doi":"10.1017/s0269964800142068","title":"SUPPLEMENTARY VARIABLE TECHNIQUE IN STOCHASTIC MODELS","year":2000,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":29,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Variable (mathematics); Queueing theory; Class (philosophy); Computer science; Metric (unit); Applied mathematics; Random variable; Mathematics; Statistics; Artificial intelligence; Mathematical analysis; Operations management","score_opus":0.012022909249200972,"score_gpt":0.20843590162718229,"score_spread":0.19641299237798132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123029116","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039321864,0.000597415,0.98723793,0.0008003828,0.00025815074,0.000022706054,0.00009298798,0.0001615671,0.0068967184],"genre_scores_gemma":[0.5370015,0.0036696843,0.4300331,0.001363507,0.0020071196,0.000567677,0.0005173002,0.00052585383,0.024314294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974322,0.0013845218,0.00010574671,0.00029194623,0.00061722076,0.00016840473],"domain_scores_gemma":[0.99421245,0.0037586559,0.0004256311,0.0009303733,0.00047598284,0.0001969744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048287017,0.0013465168,0.0013068445,0.0015141404,0.000924043,0.0021530085,0.0023640888,0.0026124835,0.007112345],"category_scores_gemma":[0.012752888,0.0006917524,0.00200324,0.0017292612,0.003377338,0.006917537,0.0030780022,0.005548391,0.0016306001],"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":[0.000007733167,0.0000074088816,0.00006280426,0.000023351298,0.000009028168,0.000041771913,0.000037383124,0.006505814,0.0002498778,0.989705,0.00063433294,0.0027153948],"study_design_scores_gemma":[0.00001466211,0.000030917996,0.000059145248,0.000032374755,0.000011719312,0.00007119435,0.000012126324,0.17298019,0.0003309072,0.82031,0.0061267433,0.000020076443],"about_ca_topic_score_codex":0.0014870401,"about_ca_topic_score_gemma":0.00090878445,"teacher_disagreement_score":0.007112345,"about_ca_system_score_codex":0.0014487844,"about_ca_system_score_gemma":0.0018714073,"threshold_uncertainty_score":0.025536954},"labels":[],"label_agreement":null},{"id":"W2124912911","doi":"10.1017/s0269964813000156","title":"ORDERING PROPERTIES OF ORDER STATISTICS FROM HETEROGENEOUS POPULATIONS: A REVIEW WITH AN EMPHASIS ON SOME RECENT DEVELOPMENTS","year":2013,"lang":"en","type":"review","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Majorization; Stochastic ordering; Statistics; Mathematics; Order statistic; Binomial (polynomial); Econometrics; Computer science; Applied mathematics; Combinatorics","score_opus":0.24018779258304923,"score_gpt":0.38163613650446054,"score_spread":0.1414483439214113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124912911","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017594349,0.9578257,0.03527928,0.00081467436,0.0003601814,0.000015453346,0.000104051025,0.00004525207,0.0037960361],"genre_scores_gemma":[0.02146126,0.9567667,0.0185917,0.00037846822,0.0014799786,0.0000399192,0.00020275329,0.000029062421,0.0010501833],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899143,0.00022835929,0.00012888834,0.00026523712,0.0003414125,0.000044733075],"domain_scores_gemma":[0.99445254,0.004447184,0.00034060562,0.00014758474,0.0005533364,0.00005875797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022422236,0.00091394025,0.001989952,0.0029499694,0.00038023724,0.0016655077,0.0011238647,0.0010381932,0.0017757186],"category_scores_gemma":[0.006228992,0.0005418799,0.00081420754,0.004475774,0.0015148997,0.002935732,0.00077544275,0.0017726566,0.00072833593],"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":[0.00006060922,0.00009730969,0.001784144,0.013249285,0.00020272304,0.00024606855,0.00023054313,0.0067832097,0.0024610094,0.21048252,0.011456851,0.7529458],"study_design_scores_gemma":[0.000045341945,0.00035033244,0.005542581,0.004151445,0.00050030585,0.00450878,0.00031574263,0.01726784,0.0056304038,0.39362517,0.5677255,0.00033663187],"about_ca_topic_score_codex":0.0015299969,"about_ca_topic_score_gemma":0.0012095371,"teacher_disagreement_score":0.0029499694,"about_ca_system_score_codex":0.0010388591,"about_ca_system_score_gemma":0.0015223244,"threshold_uncertainty_score":0.011858165},"labels":[],"label_agreement":null},{"id":"W2125250181","doi":"10.1017/s0269964807000290","title":"DYNAMIC ASSIGNMENT OF DEDICATED AND FLEXIBLE SERVERS IN TANDEM LINES","year":2007,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Server; Throughput; Computer science; Flexibility (engineering); Distributed computing; Queueing theory; Computer network; Service (business); Resource allocation; Queue management system; Operating system; Mathematics","score_opus":0.012871604241023304,"score_gpt":0.2349075460527627,"score_spread":0.2220359418117394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125250181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74463695,0.00020940015,0.24907179,0.0004698735,0.00006511136,0.00009896704,0.00012826353,0.00040508085,0.0049144207],"genre_scores_gemma":[0.98813474,0.0000589338,0.008976588,0.000046789555,0.000019860485,0.000032802225,0.000043336364,0.000017630688,0.0026692448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878615,0.00022745763,0.000043150845,0.0002596466,0.00017086472,0.00051279535],"domain_scores_gemma":[0.9966978,0.0009351805,0.0006792717,0.0003301262,0.0004749132,0.00088277465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012118038,0.0008228437,0.001245549,0.00078104116,0.0012045526,0.0018319661,0.0025431328,0.0017237287,0.00461788],"category_scores_gemma":[0.004429583,0.00082564884,0.00044447446,0.0013776638,0.0020088425,0.002440752,0.0016870525,0.0010472084,0.0008677044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005540723,0.00021430827,0.0031170687,0.000033860702,0.000059623628,0.00066283136,0.00019697135,0.95972115,0.009548487,0.013997484,0.00082227925,0.011071824],"study_design_scores_gemma":[0.00007627814,0.00014473598,0.0005876058,0.000005395203,0.000024975685,0.00009080179,0.0001539467,0.98432356,0.0017221156,0.012444901,0.00040052473,0.000025223357],"about_ca_topic_score_codex":0.005806726,"about_ca_topic_score_gemma":0.0049682595,"teacher_disagreement_score":0.005806726,"about_ca_system_score_codex":0.0021321988,"about_ca_system_score_gemma":0.00093543524,"threshold_uncertainty_score":0.015470207},"labels":[],"label_agreement":null},{"id":"W2127574997","doi":"10.1017/s0269964808000247","title":"WARM-UP PERIODS IN SIMULATION CAN BE DETRIMENTAL","year":2008,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":21,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Initialization; Data collection; Computer science; Queue; State (computer science); Discrete event simulation; Event (particle physics); Statistics; Algorithm; Simulation; Mathematics; Physics","score_opus":0.027947397349161837,"score_gpt":0.24195983964483042,"score_spread":0.21401244229566857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127574997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56971174,0.0038810964,0.39020154,0.0045479215,0.0021500846,0.0008726415,0.0009932097,0.007511227,0.020130582],"genre_scores_gemma":[0.9538732,0.00093871035,0.03867515,0.0014746898,0.00015294451,0.0007713014,0.0004928753,0.00080749474,0.0028136708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9917414,0.003566394,0.0009109374,0.0012281727,0.0012869659,0.0012661389],"domain_scores_gemma":[0.89672035,0.06677736,0.004880626,0.024920959,0.0032778694,0.0034228049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015228278,0.0013975145,0.001659647,0.00084189436,0.001819563,0.0031857237,0.0018124975,0.0016099258,0.006166543],"category_scores_gemma":[0.084902525,0.0014812145,0.0011261785,0.0008070109,0.0022399856,0.0060696234,0.004498668,0.003981752,0.0020536936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00599253,0.0017607993,0.038255442,0.0012901863,0.0011036559,0.0011773525,0.0022467412,0.7125328,0.050414547,0.07728188,0.0114354985,0.09650856],"study_design_scores_gemma":[0.00089126825,0.0039567146,0.020137057,0.0007522225,0.0010013286,0.0007099159,0.0012302441,0.70841324,0.06586861,0.1577022,0.03885359,0.0004836321],"about_ca_topic_score_codex":0.0017350089,"about_ca_topic_score_gemma":0.0021130927,"teacher_disagreement_score":0.015228278,"about_ca_system_score_codex":0.0013874539,"about_ca_system_score_gemma":0.002430877,"threshold_uncertainty_score":0.08053577},"labels":[],"label_agreement":null},{"id":"W2129682828","doi":"10.1017/s0269964813000065","title":"WAITING TIME ANALYSIS OF MULTI-CLASS QUEUES WITH IMPATIENT CUSTOMERS","year":2013,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":12,"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","funders":"","keywords":"Computer science; Poisson distribution; Class (philosophy); Queue; Exponential distribution; Service (business); Preemption; Patience; Queueing system; Server; Distributed computing; Mathematical optimization; Computer network; Mathematics; Operating system; Statistics; Business","score_opus":0.010314589244750845,"score_gpt":0.20445737048094473,"score_spread":0.19414278123619388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129682828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8347787,0.0007288436,0.15967879,0.0006744688,0.00010174375,0.000046835677,0.00010733579,0.0002074005,0.0036758205],"genre_scores_gemma":[0.99555886,0.00010555967,0.0026447265,0.000042952262,0.000038126756,0.000014309511,0.000039601648,0.000018385397,0.0015374691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910766,0.00014627962,0.000032170254,0.00012748591,0.00019218268,0.00039421066],"domain_scores_gemma":[0.99596846,0.0022123258,0.0006812253,0.00017192776,0.00049396465,0.000472151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021112333,0.0006476121,0.00074484164,0.0010778665,0.0007820622,0.0014611189,0.0023467334,0.0009971205,0.0023556813],"category_scores_gemma":[0.0063892226,0.00036984816,0.00064260955,0.0007126222,0.001144378,0.0016737133,0.0009158114,0.0011492091,0.00021738478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041650308,0.0001986092,0.0075214864,0.00008322915,0.00009199396,0.0005344286,0.0003870812,0.90285146,0.00644506,0.07363475,0.0009566849,0.0068787076],"study_design_scores_gemma":[0.000010072178,0.00002045851,0.0004310546,0.0000017930076,0.000008183728,0.000020485493,0.000028218314,0.9962961,0.00019011713,0.0029022167,0.00008279291,0.000008369334],"about_ca_topic_score_codex":0.013555057,"about_ca_topic_score_gemma":0.0042358935,"teacher_disagreement_score":0.013555057,"about_ca_system_score_codex":0.002692677,"about_ca_system_score_gemma":0.0014082829,"threshold_uncertainty_score":0.026952326},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2133404232","doi":"10.1017/s0269964811000234","title":"MONOTONICITY PROPERTIES OF RESIDUAL LIFETIMES OF PARALLEL SYSTEMS AND INACTIVITY TIMES OF SERIES SYSTEMS WITH HETEROGENEOUS COMPONENTS","year":2011,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Monotonic function; Residual; Series (stratigraphy); Independent and identically distributed random variables; Stochastic ordering; Series and parallel circuits; Hazard; Computer science; Mathematics; Applied mathematics; Algorithm; Statistics; Random variable; Mathematical analysis; Thermodynamics; Physics; Chemistry","score_opus":0.08564466059029519,"score_gpt":0.260257753170744,"score_spread":0.17461309258044883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133404232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34307113,0.0009978787,0.64328223,0.00086981093,0.0000727027,0.00013162184,0.0005597838,0.00023464534,0.010780117],"genre_scores_gemma":[0.95352376,0.0006532166,0.04140495,0.00012653862,0.00012057484,0.00017669029,0.00042154023,0.00010303128,0.003469621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984761,0.0003991162,0.00015482449,0.0003968556,0.0003656605,0.0002074596],"domain_scores_gemma":[0.9689756,0.018631112,0.005277672,0.0025555044,0.003589366,0.000970686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00579523,0.00064337614,0.0007161365,0.0011317827,0.00048425441,0.0011887121,0.0015938772,0.0006716483,0.0042300588],"category_scores_gemma":[0.0322604,0.00030410782,0.0009953333,0.0006983548,0.002062453,0.0044170823,0.001198016,0.002180765,0.00034585243],"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":[0.00036629773,0.0001463559,0.020862082,0.0005653811,0.00013316481,0.0007352373,0.0011908562,0.11744434,0.02646867,0.7889011,0.001244704,0.04194184],"study_design_scores_gemma":[0.0000431488,0.00040449863,0.014067009,0.00007319692,0.00013640025,0.000993791,0.00043691663,0.58055097,0.011216941,0.38822976,0.0037482576,0.000099212666],"about_ca_topic_score_codex":0.001287387,"about_ca_topic_score_gemma":0.00073219143,"teacher_disagreement_score":0.00579523,"about_ca_system_score_codex":0.000992356,"about_ca_system_score_gemma":0.001176627,"threshold_uncertainty_score":0.03064847},"labels":[],"label_agreement":null},{"id":"W2138826199","doi":"10.1017/s0269964802163030","title":"DISCRETE TIME RISK MODELS UNDER RATES OF INTEREST","year":2002,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":39,"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 Waterloo","funders":"","keywords":"Ruin theory; Discrete time and continuous time; Mathematics; Risk model; Applied mathematics; First-hitting-time model; Econometrics; Statistics","score_opus":0.2128393209313159,"score_gpt":0.3294569892442482,"score_spread":0.1166176683129323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138826199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048086405,0.004304854,0.90703803,0.004764917,0.00044790327,0.00009585008,0.0005281749,0.000219971,0.034513842],"genre_scores_gemma":[0.8746985,0.004710057,0.0805407,0.00038901143,0.00038112802,0.00027133262,0.00041483535,0.00008322902,0.038511146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981481,0.000724813,0.00009047492,0.00023830078,0.00051906664,0.00027932573],"domain_scores_gemma":[0.99616444,0.0021441267,0.000709984,0.00026565138,0.00042588354,0.00028991236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021751265,0.0010127892,0.0010894373,0.00076385186,0.0005381946,0.003975746,0.0018534404,0.0027494899,0.0047591734],"category_scores_gemma":[0.006637044,0.00047346356,0.0010061801,0.000974475,0.0014741878,0.0032240653,0.0015606238,0.0034288382,0.000688491],"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":[0.00004738192,0.00004534808,0.00050451525,0.0000537347,0.000018653496,0.00017882994,0.000121219295,0.14700998,0.00041415647,0.8439737,0.0013764587,0.0062560663],"study_design_scores_gemma":[0.00003842434,0.000068436886,0.0003550864,0.000039510785,0.000026782362,0.00020445419,0.000070031034,0.5946724,0.00034950263,0.39753616,0.0065941904,0.00004513513],"about_ca_topic_score_codex":0.0031623452,"about_ca_topic_score_gemma":0.0015280385,"teacher_disagreement_score":0.0047591734,"about_ca_system_score_codex":0.0021024093,"about_ca_system_score_gemma":0.0012352972,"threshold_uncertainty_score":0.015920997},"labels":[],"label_agreement":null},{"id":"W2142982767","doi":"10.1017/s026996481200006x","title":"LIKELIHOOD RATIO AND HAZARD RATE ORDERINGS OF THE MAXIMA IN TWO MULTIPLE-OUTLIER GEOMETRIC SAMPLES","year":2012,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Maxima; Outlier; Order statistic; Mathematics; Hazard ratio; Stochastic ordering; Order (exchange); Statistics; Hazard; Applied mathematics; Confidence interval","score_opus":0.056028533292786876,"score_gpt":0.3127418314312283,"score_spread":0.2567132981384414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142982767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28056678,0.00074572396,0.7115976,0.00074358715,0.00008069503,0.00017726842,0.00045987603,0.00027966473,0.0053488435],"genre_scores_gemma":[0.9248577,0.00030825083,0.07189086,0.00012532716,0.000117289295,0.00019346959,0.0005786459,0.00011983461,0.001808662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943883,0.0024028579,0.00029565653,0.0012109703,0.0012008052,0.00050137413],"domain_scores_gemma":[0.9572939,0.030331621,0.006106945,0.0020094234,0.0028225642,0.0014354436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011255079,0.00076777773,0.0017560122,0.002501848,0.000836482,0.0021864478,0.002306199,0.0011514319,0.0060865236],"category_scores_gemma":[0.07771808,0.00061890273,0.0014286614,0.0015673245,0.0031747525,0.0054614632,0.002071001,0.0022263539,0.00035037062],"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":[0.0009579679,0.00015663846,0.037505515,0.00050705776,0.0002422603,0.0018768967,0.0010018334,0.1602859,0.005737583,0.7394176,0.0020820794,0.050228696],"study_design_scores_gemma":[0.00013759121,0.00054203346,0.017801117,0.000083796374,0.00009015606,0.0012345895,0.0005160972,0.5235549,0.00422608,0.44886115,0.0027613672,0.00019109681],"about_ca_topic_score_codex":0.0009174009,"about_ca_topic_score_gemma":0.00075191766,"teacher_disagreement_score":0.011255079,"about_ca_system_score_codex":0.0014825523,"about_ca_system_score_gemma":0.0012414745,"threshold_uncertainty_score":0.059523284},"labels":[],"label_agreement":null},{"id":"W2145324741","doi":"10.1017/s0269964804184040","title":"MONOTONICITY IN LAG FOR NONMONOTONE MARKOV CHAINS","year":2004,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ottawa","keywords":"Markov chain; Monotonic function; Monotone polygon; Mathematics; Markov property; Property (philosophy); Applied mathematics; Function (biology); Markov chain mixing time; Chain (unit); Examples of Markov chains; Markov process; Mathematical optimization; Discrete mathematics; Combinatorics; Computer science; Markov model; Statistics; Mathematical analysis; Physics","score_opus":0.05515545292777608,"score_gpt":0.32198993564073974,"score_spread":0.26683448271296367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145324741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2516376,0.0015672029,0.7217971,0.0011344035,0.00011245074,0.00012768796,0.00062954327,0.0002491968,0.022744833],"genre_scores_gemma":[0.9491346,0.0011357296,0.041804936,0.000393775,0.0001953595,0.00021695506,0.0004384716,0.000100559766,0.0065796147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983109,0.00049535546,0.00010898018,0.00044947577,0.00035297795,0.00028222566],"domain_scores_gemma":[0.9826172,0.012669625,0.0018272004,0.0010967363,0.0010941961,0.0006950082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004017663,0.0005716959,0.0009505353,0.0009949896,0.0007944832,0.0020141609,0.0011242802,0.0009744606,0.0057937694],"category_scores_gemma":[0.019764362,0.00042341807,0.00082666206,0.0007378957,0.0024810445,0.0049855257,0.0014185895,0.0021189968,0.0005391057],"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":[0.000088627035,0.000038078844,0.003457589,0.00013430278,0.000026046462,0.00028275582,0.00028800507,0.018834865,0.0029704394,0.9652633,0.00063907204,0.007977009],"study_design_scores_gemma":[0.00002999416,0.00006514897,0.0018149818,0.00005278018,0.000016983135,0.00037367907,0.00008625216,0.27631906,0.0015757356,0.7167619,0.0028724754,0.000031105876],"about_ca_topic_score_codex":0.0011779122,"about_ca_topic_score_gemma":0.0014925437,"teacher_disagreement_score":0.0057937694,"about_ca_system_score_codex":0.0011268981,"about_ca_system_score_gemma":0.0010901183,"threshold_uncertainty_score":0.021247685},"labels":[],"label_agreement":null},{"id":"W2149375959","doi":"10.1017/s0269964811000313","title":"STOCHASTIC COMPARISONS OF LARGEST ORDER STATISTICS FROM MULTIPLE-OUTLIER EXPONENTIAL MODELS","year":2012,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stochastic ordering; Majorization; Order statistic; Statistics; Order (exchange); Hazard ratio; Outlier; Mathematics; Exponential function; Hazard; Econometrics; Confidence interval; Combinatorics; Economics","score_opus":0.09724671455269872,"score_gpt":0.320780843097771,"score_spread":0.22353412854507226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149375959","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17740297,0.0005301222,0.8171251,0.0004808889,0.00010628552,0.00009602995,0.00030040814,0.00019807198,0.0037601711],"genre_scores_gemma":[0.9401257,0.0007340208,0.054461274,0.00022910297,0.00024103803,0.00015866276,0.0009143778,0.00016187713,0.0029739016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99454343,0.0024250264,0.00031090726,0.0008190464,0.0015183707,0.00038321616],"domain_scores_gemma":[0.9308623,0.053270962,0.0068495837,0.003654979,0.003973084,0.0013890959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014020215,0.0008468941,0.0013935441,0.0020387522,0.0006687151,0.0019141665,0.0020820978,0.00085897464,0.0043359115],"category_scores_gemma":[0.0645008,0.00038363817,0.0017927863,0.0011939512,0.0021902088,0.0042185476,0.0022138897,0.0028112584,0.00030949197],"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":[0.0003743254,0.00019111499,0.01648543,0.00034496695,0.00026246655,0.0005364335,0.00050170283,0.29212353,0.0029033967,0.648804,0.0015023351,0.03597025],"study_design_scores_gemma":[0.000027456445,0.0002549725,0.00523633,0.00003273048,0.00006140999,0.00019714907,0.00015226075,0.62501705,0.0016965128,0.36576682,0.0014655928,0.000091685106],"about_ca_topic_score_codex":0.0014184471,"about_ca_topic_score_gemma":0.0015866419,"teacher_disagreement_score":0.014020215,"about_ca_system_score_codex":0.0015145729,"about_ca_system_score_gemma":0.0020558957,"threshold_uncertainty_score":0.07414687},"labels":[],"label_agreement":null},{"id":"W2152363950","doi":"10.1017/s0269964806060207","title":"A FLUID EOQ MODEL WITH A TWO-STATE RANDOM ENVIRONMENT","year":2006,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":12,"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","funders":"","keywords":"Economic order quantity; Sensitivity (control systems); Carry (investment); Computer science; Average cost; Order (exchange); Markov process; State (computer science); Steady state (chemistry); Mathematical optimization; Applied mathematics; Mathematics; Economics; Statistics; Algorithm; Microeconomics","score_opus":0.011089236062444502,"score_gpt":0.1740076966701692,"score_spread":0.1629184606077247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152363950","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34435627,0.0010559807,0.6177993,0.0039164405,0.0003007522,0.0001558484,0.0008935016,0.00042648145,0.031095447],"genre_scores_gemma":[0.9662448,0.0005230338,0.017394211,0.00030396425,0.000104309496,0.00015319392,0.00021075318,0.000058653277,0.01500703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900144,0.00036580057,0.000036047142,0.0002127874,0.00014400236,0.00023986789],"domain_scores_gemma":[0.99665326,0.0018115297,0.0005845128,0.00015713474,0.00034057003,0.0004529846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015604516,0.0010570448,0.0016797859,0.001034655,0.0007855248,0.0029864644,0.0019736858,0.0037192963,0.004379691],"category_scores_gemma":[0.004900757,0.0009083559,0.0009371677,0.0011908436,0.0030224132,0.00311379,0.0019973314,0.0018634426,0.000529922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008466256,0.000075456504,0.00066018803,0.000043496555,0.00003349691,0.00039133985,0.00007515488,0.84359944,0.0011247159,0.1520186,0.00063227303,0.0012611215],"study_design_scores_gemma":[0.00003026523,0.000024679532,0.00010776709,0.0000050583335,0.000008059394,0.00002676836,0.000021215945,0.9845546,0.000092879505,0.0147762615,0.00033483098,0.000017597242],"about_ca_topic_score_codex":0.008585465,"about_ca_topic_score_gemma":0.0027754623,"teacher_disagreement_score":0.008585465,"about_ca_system_score_codex":0.0014363342,"about_ca_system_score_gemma":0.0012619458,"threshold_uncertainty_score":0.01707095},"labels":[],"label_agreement":null},{"id":"W2154448185","doi":"10.1017/s0269964813000107","title":"ON A CLASS OF GENERALIZED MARSHALL–OLKIN BIVARIATE DISTRIBUTIONS AND SOME RELIABILITY CHARACTERISTICS","year":2013,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Bivariate analysis; Mathematics; Class (philosophy); Statistics; Monotonic function; Marginal distribution; Applied mathematics; Joint probability distribution; Mathematical analysis; Random variable; Computer science","score_opus":0.033915190034063084,"score_gpt":0.28799771541799196,"score_spread":0.2540825253839289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154448185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11258185,0.0016751371,0.8656398,0.001344153,0.000071143535,0.000053718657,0.000443061,0.00019508104,0.017995976],"genre_scores_gemma":[0.9453541,0.0029959125,0.04115105,0.00036929984,0.00033749494,0.0001585087,0.00045532826,0.00011858662,0.009059685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99914634,0.00024702516,0.000032110776,0.00020424415,0.00021779654,0.00015238022],"domain_scores_gemma":[0.99462813,0.0029157007,0.00083486806,0.00048218196,0.0008367595,0.00030237928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021402356,0.0007880834,0.0009230192,0.0020601097,0.0006503264,0.0015998535,0.0007692889,0.000835845,0.0039059864],"category_scores_gemma":[0.009526363,0.00030147453,0.0008044365,0.0023426309,0.0016594076,0.002801914,0.0011711669,0.0017549569,0.0006023607],"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":[0.0000338676,0.000025496822,0.0022035497,0.000064617394,0.000021700207,0.0002977001,0.00021704752,0.056058258,0.0012267829,0.92571634,0.0019463614,0.012188262],"study_design_scores_gemma":[0.000015921376,0.000053604235,0.0029596507,0.00005865932,0.000022087235,0.0005367844,0.00018412413,0.31580344,0.00053318136,0.6707007,0.009081311,0.000050533752],"about_ca_topic_score_codex":0.0035822797,"about_ca_topic_score_gemma":0.0012554139,"teacher_disagreement_score":0.0039059864,"about_ca_system_score_codex":0.0012090983,"about_ca_system_score_gemma":0.00083094643,"threshold_uncertainty_score":0.013066828},"labels":[],"label_agreement":null},{"id":"W2154895213","doi":"10.1017/s0269964805050084","title":"COMPUTATIONAL ANALYSIS OF STATIONARY WAITING-TIME DISTRIBUTIONS OF <i>GI</i><sup><i>X</i></sup>/<i>R</i>/1 AND <i>GI</i><sup><i>X</i></sup>/<i>D</i>/1 QUEUES","year":2005,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Mathematics; Degree (music); Laplace transform; Type (biology); Polynomial; Combinatorics; Riemann–Stieltjes integral; Distribution (mathematics); Probability distribution; Queueing theory; Discrete mathematics; Class (philosophy); Rational function; Applied mathematics; Mathematical analysis; Physics; Statistics; Integral equation; Computer science","score_opus":0.025959250044010417,"score_gpt":0.28859070229037076,"score_spread":0.26263145224636036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154895213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8122283,0.0002577915,0.18349545,0.00065054704,0.00003148271,0.000029434297,0.0001805988,0.00029486272,0.0028314735],"genre_scores_gemma":[0.9767364,0.00006110674,0.022216566,0.00002793618,0.000014148484,0.000029562365,0.00015809844,0.000026886364,0.00072917447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977845,0.00007467284,0.000012206199,0.00003868427,0.000042124822,0.00005401058],"domain_scores_gemma":[0.9942854,0.004967919,0.00024957355,0.0001712197,0.0001915614,0.00013434164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013683295,0.00036292605,0.0007290279,0.000540984,0.00051270437,0.0008387463,0.0011990384,0.0005787952,0.0019366376],"category_scores_gemma":[0.008000565,0.00032129776,0.00043082787,0.0006635648,0.00060645415,0.0014471118,0.00054242066,0.00081473653,0.0001262022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001720084,0.000058464728,0.0030157138,0.000043109103,0.000021233811,0.000076609176,0.00007896394,0.9676379,0.0005691621,0.020609042,0.00042519192,0.007292545],"study_design_scores_gemma":[0.0000031259199,0.0000037269597,0.00007333167,4.922584e-7,0.000001028635,0.0000033163444,0.000005166438,0.99781597,0.0001084812,0.0019670008,0.00001738426,9.3485073e-7],"about_ca_topic_score_codex":0.006387192,"about_ca_topic_score_gemma":0.005077512,"teacher_disagreement_score":0.006387192,"about_ca_system_score_codex":0.0012674828,"about_ca_system_score_gemma":0.0018413302,"threshold_uncertainty_score":0.012700081},"labels":[],"label_agreement":null},{"id":"W2161868179","doi":"10.1017/s0269964800144067","title":"ON CLASSES OF LIFETIME DISTRIBUTIONS WITH UNKNOWN AGE","year":2000,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":30,"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 Waterloo","funders":"AGE-WELL","keywords":"Poisson distribution; Residual; Queueing theory; Class (philosophy); Variance (accounting); Statistics; Mathematics; Computer science; Applied mathematics; Statistical physics; Algorithm; Physics; Artificial intelligence","score_opus":0.03355681310662899,"score_gpt":0.2963276665936346,"score_spread":0.2627708534870056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161868179","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23898824,0.0019973782,0.7432452,0.0023559446,0.00012629647,0.00014849407,0.001036672,0.000472682,0.011629159],"genre_scores_gemma":[0.95897657,0.0022139037,0.026504584,0.00044694194,0.0006371729,0.0003181254,0.0012586989,0.00019251298,0.009451548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969662,0.00080889015,0.00014920713,0.000744987,0.0006749725,0.0006558543],"domain_scores_gemma":[0.9584887,0.02854075,0.005255847,0.0031182535,0.0032987033,0.0012977034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008328139,0.000989582,0.00139538,0.0031987624,0.001539586,0.0034338036,0.002398834,0.0016439541,0.0046073366],"category_scores_gemma":[0.042278934,0.0005544828,0.0013212966,0.0021488706,0.003465371,0.00688547,0.0025793456,0.0028105034,0.00070181984],"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":[0.00020675335,0.00008791066,0.008047514,0.00012043173,0.00005429278,0.00036177912,0.00079777255,0.052618068,0.0013508524,0.90605813,0.0030435093,0.027253024],"study_design_scores_gemma":[0.00003599247,0.00009309757,0.0036886865,0.00008028092,0.000031705258,0.0004990454,0.00037811088,0.54463816,0.0010310197,0.44506466,0.004399346,0.0000599135],"about_ca_topic_score_codex":0.002961443,"about_ca_topic_score_gemma":0.001170815,"teacher_disagreement_score":0.008328139,"about_ca_system_score_codex":0.0032374798,"about_ca_system_score_gemma":0.0009629109,"threshold_uncertainty_score":0.04404396},"labels":[],"label_agreement":null},{"id":"W2168928846","doi":"10.1017/s0269964810000112","title":"ON THE PROBABILITY DISTRIBUTION OF JOIN QUEUE LENGTH IN A FORK-JOIN MODEL","year":2010,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Communications Research Centre Canada","funders":"","keywords":"Fork–join queue; Join (topology); Mathematics; Queue; Exponential distribution; Bulk queue; Generating function; Joint probability distribution; Discrete mathematics; Computer science; Combinatorics; Queueing theory; Queue management system; Statistics","score_opus":0.01633373002389637,"score_gpt":0.217235582362505,"score_spread":0.20090185233860863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168928846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20316511,0.0011635879,0.78519845,0.0012090874,0.000090880516,0.00008269432,0.00019148248,0.00044307217,0.008455604],"genre_scores_gemma":[0.97555894,0.0010077467,0.018968713,0.00014580126,0.00017157385,0.00007683817,0.00014121762,0.00010933473,0.0038198822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987305,0.00036757128,0.000040121806,0.00023818869,0.00039952752,0.00022404433],"domain_scores_gemma":[0.9926408,0.005058266,0.00075558724,0.00048006937,0.00078738993,0.00027789953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045025973,0.0007845479,0.0011247183,0.0012395191,0.00095379294,0.0018983082,0.0023439496,0.0014017359,0.0031105117],"category_scores_gemma":[0.017579198,0.00058017933,0.00075148616,0.0011612627,0.0021934614,0.006049351,0.0014463079,0.0023151042,0.0005005391],"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":[0.00015210116,0.000103826904,0.0040423432,0.00013443043,0.000045023615,0.000491698,0.00068071607,0.43277693,0.0051359343,0.54550755,0.0017796628,0.009149778],"study_design_scores_gemma":[0.000012710687,0.000022387467,0.00048667548,0.000011623151,0.000011823293,0.000081684266,0.00007411572,0.94279945,0.00032982882,0.05575248,0.0003946847,0.000022495073],"about_ca_topic_score_codex":0.00446641,"about_ca_topic_score_gemma":0.002077049,"teacher_disagreement_score":0.0045025973,"about_ca_system_score_codex":0.0019795783,"about_ca_system_score_gemma":0.0010882346,"threshold_uncertainty_score":0.023812294},"labels":[],"label_agreement":null},{"id":"W2332649167","doi":"10.1017/s0269964813000417","title":"ALTERNATIVE ANALYSIS OF FINITE-TIME PROBABILITY DISTRIBUTIONS OF RENEWAL THEORY","year":2014,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewal theory; Probability density function; Stochastic process; Mathematics; Class (philosophy); Applied mathematics; Probability distribution; Computer science; Limiting; Process (computing); Statistical physics; Calculus (dental); Statistics; Physics; Engineering","score_opus":0.011888485655544226,"score_gpt":0.22026167170984895,"score_spread":0.20837318605430472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332649167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0851301,0.0018336863,0.89135057,0.0010961152,0.00027904805,0.00003175693,0.0001443673,0.00019682845,0.019937543],"genre_scores_gemma":[0.9348246,0.0010485114,0.05553907,0.00029365678,0.00038697175,0.000079660946,0.00013451358,0.00013164706,0.0075614196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979303,0.00075425516,0.000074400006,0.00024060243,0.00075984834,0.00024072912],"domain_scores_gemma":[0.9915577,0.005370533,0.0007693402,0.00060137076,0.0011185693,0.0005824745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051848236,0.0006413825,0.0008361537,0.0025284572,0.00065998913,0.00329989,0.0025144084,0.0015321473,0.0049416088],"category_scores_gemma":[0.018371487,0.00046042504,0.0013991912,0.001218455,0.0027376749,0.0050434396,0.0016980667,0.0023958054,0.00050301786],"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":[0.00001101777,0.000010545022,0.00019942303,0.000020685802,0.000011601504,0.00005858644,0.000063497595,0.02043713,0.00029983345,0.97713256,0.00027262213,0.0014824448],"study_design_scores_gemma":[0.0000072296625,0.000012289992,0.00023262053,0.000020116842,0.000006977222,0.000059907517,0.000031754804,0.43076137,0.00018154383,0.56758326,0.001084929,0.000018060327],"about_ca_topic_score_codex":0.0017585302,"about_ca_topic_score_gemma":0.0008107442,"teacher_disagreement_score":0.0051848236,"about_ca_system_score_codex":0.0032865503,"about_ca_system_score_gemma":0.0012112026,"threshold_uncertainty_score":0.027420342},"labels":[],"label_agreement":null},{"id":"W2561763806","doi":"10.1017/s0269964816000504","title":"THE ANALYTIC APPROACH FOR THE STOCHASTIC PROJECTION OF THE PUBLIC PENSION FUND","year":2016,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pension fund; Valuation (finance); Moment (physics); Stochastic differential equation; Pension; Projection (relational algebra); Matching (statistics); Order (exchange); Actuarial science; Revenue; Econometrics; Economics; Mathematics; Computer science; Mathematical optimization; Applied mathematics; Finance; Statistics; Algorithm","score_opus":0.05019828892213434,"score_gpt":0.2825738307035427,"score_spread":0.23237554178140835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561763806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002645187,0.00018592544,0.99455833,0.0002570559,0.00003486642,0.000015583535,0.000023915603,0.000031533153,0.0022475095],"genre_scores_gemma":[0.4609027,0.0037670513,0.5177689,0.00041361226,0.00075547234,0.00049505767,0.00026269493,0.00021401557,0.015420434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923,0.00032832014,0.00003534247,0.00011948886,0.0002347757,0.000052036445],"domain_scores_gemma":[0.9991242,0.00042883345,0.000119125674,0.00009396218,0.00017844465,0.000055470373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019450744,0.0008299802,0.0005125397,0.0013624271,0.00052807503,0.0012931407,0.0011657748,0.0007915278,0.0044083195],"category_scores_gemma":[0.0055761877,0.00039056607,0.0013844399,0.00076298905,0.0014416422,0.0028982442,0.0016044964,0.0019934163,0.0004610258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009010775,0.000024097808,0.0005179,0.00009342006,0.000031055453,0.00009183902,0.00013475679,0.1293123,0.001317402,0.8492265,0.0010027654,0.01823904],"study_design_scores_gemma":[0.0000064161472,0.000033671597,0.00037140193,0.00004181815,0.000021853892,0.00014842855,0.00006168899,0.64631206,0.0008219144,0.34601632,0.006136899,0.000027567534],"about_ca_topic_score_codex":0.0017346563,"about_ca_topic_score_gemma":0.00083496096,"teacher_disagreement_score":0.0044083195,"about_ca_system_score_codex":0.0011610432,"about_ca_system_score_gemma":0.0015277759,"threshold_uncertainty_score":0.014747322},"labels":[],"label_agreement":null},{"id":"W2624062012","doi":"10.1017/s0269964817000225","title":"CONTINUOUS REVIEW INVENTORY MODELS FOR PERISHABLE ITEMS WITH LEADTIMES","year":2017,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":22,"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","funders":"","keywords":"Perishability; Poisson distribution; Heuristic; Computer science; Order (exchange); Lost sales; Lead time; Holding cost; Mathematical optimization; Inventory control; Operations research; Mathematics; Operations management; Economics; Statistics; Business; Marketing","score_opus":0.04625210787604061,"score_gpt":0.23916991449303907,"score_spread":0.19291780661699845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624062012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2993342,0.006098286,0.66102624,0.0047349073,0.00057383836,0.00049767864,0.0017417239,0.00092073675,0.025072405],"genre_scores_gemma":[0.9571359,0.0014703118,0.017595034,0.00026735695,0.0002170123,0.00022837042,0.00030728814,0.00008826297,0.02269056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781394,0.00070018717,0.00011697999,0.0004380598,0.00035143312,0.00057951314],"domain_scores_gemma":[0.9869451,0.008003969,0.0024103622,0.0005568281,0.0011407803,0.0009429271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004941114,0.0020111373,0.003152215,0.0015472296,0.0009953774,0.0036884327,0.006745756,0.004900397,0.008346404],"category_scores_gemma":[0.014166351,0.0019048132,0.0018404794,0.0018964993,0.0023394823,0.0046048816,0.0016109301,0.003492105,0.0011317494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037524715,0.00010359092,0.0013362105,0.0001896681,0.00006603972,0.0007541898,0.0001883,0.9159218,0.0011163829,0.07304635,0.001694831,0.0052073793],"study_design_scores_gemma":[0.000056444387,0.00015717308,0.0004677158,0.000028440789,0.000042312324,0.000120350625,0.000065834225,0.97712165,0.00016971723,0.02078937,0.000933926,0.000047092828],"about_ca_topic_score_codex":0.011308198,"about_ca_topic_score_gemma":0.008109137,"teacher_disagreement_score":0.011308198,"about_ca_system_score_codex":0.0036326903,"about_ca_system_score_gemma":0.0019172144,"threshold_uncertainty_score":0.027921498},"labels":[],"label_agreement":null},{"id":"W2756143988","doi":"10.1017/s0269964817000353","title":"LOWER TAIL INDEPENDENCE OF HITTING TIMES OF TWO-DIMENSIONAL DIFFUSIONS","year":2017,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bivariate analysis; Copula (linguistics); Tail dependence; Joint probability distribution; Mathematics; Statistical physics; Independence (probability theory); Gaussian; Econometrics; Hitting time; Heavy-tailed distribution; Component (thermodynamics); Extreme value theory; Applied mathematics; Statistics; Probability distribution; Mathematical analysis; Multivariate statistics; Physics; Thermodynamics","score_opus":0.026071638718839437,"score_gpt":0.2339255291689578,"score_spread":0.20785389045011837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756143988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5294032,0.0012225583,0.45723295,0.0011486575,0.00008902579,0.00008384226,0.00062596356,0.00043577945,0.009757968],"genre_scores_gemma":[0.98830646,0.0006681716,0.0062364847,0.00015106016,0.00014369997,0.00006695395,0.0004953728,0.0001183825,0.0038133191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979241,0.00053556025,0.00012956333,0.0005216808,0.0005331636,0.00035586194],"domain_scores_gemma":[0.96229404,0.024827663,0.004240688,0.0030193701,0.0029820143,0.0026362806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006304251,0.000799885,0.0016796788,0.0031998313,0.0007965458,0.003195343,0.0018315607,0.0013864349,0.005088151],"category_scores_gemma":[0.043706644,0.00092331745,0.0013937677,0.0017220097,0.003987588,0.0052216537,0.002411535,0.0034740088,0.00067570567],"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":[0.00030381192,0.000118265285,0.014391793,0.0002077351,0.00013577555,0.0006905831,0.0007630769,0.13958147,0.010362273,0.82024896,0.0017360345,0.011460282],"study_design_scores_gemma":[0.000043066226,0.000065973596,0.011525554,0.00006181625,0.000051069543,0.00031789267,0.00012626148,0.6733587,0.0019896945,0.31146404,0.0008713272,0.00012458203],"about_ca_topic_score_codex":0.0037956652,"about_ca_topic_score_gemma":0.0019870847,"teacher_disagreement_score":0.006304251,"about_ca_system_score_codex":0.001555219,"about_ca_system_score_gemma":0.00085855165,"threshold_uncertainty_score":0.033340454},"labels":[],"label_agreement":null},{"id":"W2777159820","doi":"10.1017/s0269964817000468","title":"COMPARISONS OF SAMPLE RANGES ARISING FROM MULTIPLE-OUTLIER MODELS: IN MEMORY OF MOSHE SHAKED","year":2017,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Outlier; Sample (material); Sample size determination; Exponential function; Statistics; Mathematics; Order statistic; Stochastic ordering; Hazard; Applied mathematics; Econometrics; Physics; Mathematical analysis","score_opus":0.14546154954514492,"score_gpt":0.3434165443959955,"score_spread":0.19795499485085058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777159820","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13752192,0.0013817783,0.8556578,0.0010909957,0.00010558809,0.00009444829,0.00018990402,0.00019553519,0.0037620638],"genre_scores_gemma":[0.8724377,0.0012542647,0.121565714,0.0004854163,0.00028007868,0.00028689014,0.0006705274,0.00018976355,0.0028296944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9855108,0.008878524,0.0006751588,0.0018012847,0.0025507554,0.0005834441],"domain_scores_gemma":[0.80616593,0.16947961,0.008221766,0.009126209,0.005392413,0.0016140762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026407517,0.0006699191,0.0015258038,0.0017070782,0.0006903704,0.0021946286,0.0021170278,0.0015152863,0.0043907645],"category_scores_gemma":[0.16903213,0.0005730267,0.0013875854,0.0016132847,0.0029990159,0.0070101223,0.0030974888,0.0030460113,0.00030791564],"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":[0.00081863365,0.00014854604,0.021361724,0.00047675514,0.0002623543,0.001037661,0.0013934734,0.15779047,0.0026964785,0.725425,0.00245726,0.086131714],"study_design_scores_gemma":[0.00006699197,0.0003710292,0.006144935,0.00009887344,0.00009191827,0.00042264967,0.0004781834,0.52341205,0.0029605764,0.46263272,0.0032091686,0.00011089532],"about_ca_topic_score_codex":0.0009784731,"about_ca_topic_score_gemma":0.0009912566,"teacher_disagreement_score":0.026407517,"about_ca_system_score_codex":0.001285101,"about_ca_system_score_gemma":0.0012478295,"threshold_uncertainty_score":0.13965803},"labels":[],"label_agreement":null},{"id":"W2789142274","doi":"10.1017/s0269964818000402","title":"ONLINE CAPACITY PLANNING FOR REHABILITATION TREATMENTS: AN APPROXIMATE DYNAMIC PROGRAMMING APPROACH","year":2018,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Notice; Schedule; Markov decision process; Computer science; Dynamic programming; Quality (philosophy); Capacity planning; Operations research; Scheduling (production processes); Space (punctuation); Process (computing); Mathematical optimization; Markov process; Operations management; Mathematics; Algorithm","score_opus":0.09656401437862992,"score_gpt":0.4091299141877374,"score_spread":0.3125658998091075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789142274","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046923663,0.0009099315,0.9408757,0.001394038,0.00010315409,0.00016818635,0.0003438217,0.00018839641,0.009093148],"genre_scores_gemma":[0.8838981,0.00070711185,0.10796374,0.00023617412,0.00009898696,0.00039947746,0.00026505042,0.00008825637,0.0063431575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985857,0.00071148534,0.0000447878,0.00019684825,0.00021044588,0.0002508192],"domain_scores_gemma":[0.9947242,0.004311569,0.00036062024,0.00009234784,0.000294589,0.00021671536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002179631,0.0011360159,0.0022382361,0.0010214818,0.00066559354,0.002148349,0.0016726857,0.0021511908,0.005211407],"category_scores_gemma":[0.0066788476,0.0011111811,0.00095594686,0.001556502,0.0011800689,0.0015662891,0.001215712,0.002080823,0.00029463644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016270995,0.000015701089,0.00008794734,0.000014434384,0.000008356595,0.000018453708,0.000008726538,0.99513054,0.00004316641,0.0032293568,0.00014305407,0.001284106],"study_design_scores_gemma":[0.0000037225611,0.0000052969,0.0000197662,0.0000028993632,0.0000024012188,0.000002888528,0.000005585951,0.998007,0.00002122481,0.0018284582,0.00009906246,0.0000016729207],"about_ca_topic_score_codex":0.022593934,"about_ca_topic_score_gemma":0.012268484,"teacher_disagreement_score":0.022593934,"about_ca_system_score_codex":0.0028643354,"about_ca_system_score_gemma":0.0028398996,"threshold_uncertainty_score":0.044924855},"labels":[],"label_agreement":null},{"id":"W2911775485","doi":"10.1017/s0269964818000530","title":"A CLOSED-FORM GARCH VALUATION MODEL FOR POWER EXCHANGE OPTIONS WITH COUNTERPARTY RISK","year":2019,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; University of International Business and Economics; University of Winnipeg","keywords":"Counterparty; Credit risk; Valuation (finance); Credit valuation adjustment; Econometrics; Actuarial science; Mathematics; Economics; Finance","score_opus":0.032540332386180794,"score_gpt":0.22751606001450558,"score_spread":0.1949757276283248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911775485","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08831261,0.0005278881,0.9045946,0.0010213747,0.00010383419,0.00003494334,0.00011358325,0.00016419613,0.0051269857],"genre_scores_gemma":[0.9735246,0.00028488657,0.02065579,0.00009075378,0.00009583883,0.0000508705,0.00008230029,0.000025271067,0.005189719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924797,0.0003893261,0.00002728162,0.00012565186,0.00013683259,0.00007292848],"domain_scores_gemma":[0.99886394,0.0006466588,0.00016771237,0.00009231788,0.000150262,0.0000791483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017382933,0.0006181458,0.0010923283,0.00063534075,0.00046264325,0.0020223479,0.001635958,0.0020244853,0.0026945933],"category_scores_gemma":[0.0037344974,0.00044076546,0.00086992804,0.0008300316,0.0013375806,0.0021485197,0.0008830522,0.0017446887,0.00020122027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032660202,0.000040854193,0.0008445144,0.000029525569,0.000041537936,0.00036713027,0.00007856294,0.7259915,0.0012376003,0.2647073,0.00068239187,0.005946467],"study_design_scores_gemma":[0.0000054562497,0.0000058786413,0.000058913847,0.0000015887408,0.000003843046,0.000017300235,0.000003854686,0.98127466,0.000046195375,0.018465342,0.00011212182,0.0000048570932],"about_ca_topic_score_codex":0.0036067255,"about_ca_topic_score_gemma":0.0018659123,"teacher_disagreement_score":0.0036067255,"about_ca_system_score_codex":0.0010558738,"about_ca_system_score_gemma":0.0007425574,"threshold_uncertainty_score":0.009193063},"labels":[],"label_agreement":null},{"id":"W2963874364","doi":"10.1017/s0269964818000256","title":"OPTIMAL SELECTION OF THE <i>k</i>-TH BEST CANDIDATE","year":2019,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Optimal stopping; Combinatorics; Mathematics; Selection (genetic algorithm); Stopping rule; Discrete mathematics; Statistics; Mathematical optimization; Computer science; Artificial intelligence","score_opus":0.010612130471167417,"score_gpt":0.2182559173910074,"score_spread":0.20764378691983998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963874364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32746813,0.0015037894,0.65024126,0.0028368258,0.00014739549,0.00021355505,0.0003986881,0.00046832568,0.01672199],"genre_scores_gemma":[0.8372685,0.000410557,0.15633757,0.00032133568,0.000087509805,0.00016879638,0.00041892013,0.000159869,0.0048269075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771607,0.0008328278,0.000169171,0.0005656886,0.0003409649,0.0003752961],"domain_scores_gemma":[0.99041873,0.006430662,0.0009717184,0.0006042105,0.0008278481,0.00074676704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038490873,0.0004990855,0.0016707829,0.0010250214,0.0008390161,0.002269759,0.0015229644,0.0013057889,0.0041451766],"category_scores_gemma":[0.017387498,0.00049009675,0.0007714454,0.00093627383,0.001637291,0.0022607162,0.0012551963,0.0011012738,0.0008052315],"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":[0.003213218,0.0007512423,0.026866985,0.00094684266,0.00036668777,0.0007837248,0.00095381984,0.48829505,0.015859501,0.16348669,0.014995011,0.28348127],"study_design_scores_gemma":[0.00015463562,0.0005512087,0.0038663459,0.00014222489,0.0000900712,0.00033432813,0.00034331615,0.90748227,0.01042206,0.073644795,0.0028975592,0.00007125687],"about_ca_topic_score_codex":0.0012062144,"about_ca_topic_score_gemma":0.0011393331,"teacher_disagreement_score":0.0041451766,"about_ca_system_score_codex":0.00094697595,"about_ca_system_score_gemma":0.0025363162,"threshold_uncertainty_score":0.020356178},"labels":[],"label_agreement":null},{"id":"W2965617717","doi":"10.1017/s0269964819000299","title":"OPTIMAL CONTROL POLICIES FOR AN <i>M</i>/<i>M</i>/1 QUEUE WITH A REMOVABLE SERVER AND DYNAMIC SERVICE RATES","year":2019,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Queue; Monotonic function; Service (business); Set (abstract data type); Control (management); Exponential distribution; Mathematical optimization; Distributed computing; Computer network; Real-time computing; Mathematics; Statistics; Economics","score_opus":0.00886520082173479,"score_gpt":0.22037317339671658,"score_spread":0.2115079725749818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965617717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.708519,0.00034804465,0.28362292,0.00088257063,0.000107999345,0.00018114001,0.0001241405,0.00044405428,0.005770089],"genre_scores_gemma":[0.9885274,0.000054965487,0.010644801,0.000038338665,0.000013624155,0.000029984765,0.000017023198,0.000016273105,0.00065754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923456,0.00020841966,0.000048399786,0.00014247089,0.00013783583,0.00022843666],"domain_scores_gemma":[0.9974843,0.0011416493,0.000590839,0.00015423929,0.00030603574,0.00032285554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153864,0.00080502237,0.00081922923,0.0007601514,0.00077425904,0.0017558351,0.0015147185,0.0008624044,0.002314034],"category_scores_gemma":[0.004696502,0.0004518496,0.0005135882,0.00036064145,0.0015140185,0.0010646806,0.00089000585,0.0011769835,0.00018648377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000554199,0.00022704927,0.0011667566,0.000067247805,0.00003469192,0.00017239572,0.00013552482,0.95502985,0.011377462,0.021637546,0.0006847214,0.008912517],"study_design_scores_gemma":[0.00006019268,0.00012599859,0.00030845896,0.000008554595,0.000019956395,0.000013723812,0.000045721616,0.9933462,0.0017926362,0.004135764,0.00012388935,0.0000188701],"about_ca_topic_score_codex":0.008527458,"about_ca_topic_score_gemma":0.004313252,"teacher_disagreement_score":0.008527458,"about_ca_system_score_codex":0.002676346,"about_ca_system_score_gemma":0.0015092907,"threshold_uncertainty_score":0.019418418},"labels":[],"label_agreement":null},{"id":"W2976699968","doi":"10.1017/s0269964819000330","title":"TWO-ECHELON PRODUCTION INVENTORY SYSTEMS WITH STRATEGIC CUSTOMERS","year":2019,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Stackelberg competition; Production (economics); Revenue; Computer science; Operations research; Order (exchange); Product (mathematics); Supply chain; Business; Microeconomics; Mathematical optimization; Economics; Mathematics; Marketing; Finance","score_opus":0.02359907113597722,"score_gpt":0.20449990374369104,"score_spread":0.1809008326077138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976699968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74585164,0.0012722154,0.2238972,0.0014584756,0.00025138003,0.00030486175,0.0009676409,0.00031658463,0.02568007],"genre_scores_gemma":[0.9912509,0.00012734126,0.004550346,0.000055544286,0.00003305945,0.000045101016,0.000078070094,0.000007959588,0.0038516861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781466,0.0007111306,0.00012151666,0.0004421043,0.00028158166,0.0006289339],"domain_scores_gemma":[0.9969451,0.0014337966,0.0005015405,0.00023818207,0.0003897766,0.0004915976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020703431,0.0014279404,0.0024754838,0.0008712117,0.0014016697,0.0035778452,0.0024799695,0.0025478604,0.0074672704],"category_scores_gemma":[0.0039867833,0.001231163,0.0009938679,0.0017361599,0.0019071356,0.0030373717,0.002390017,0.0014763253,0.0007391171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030877584,0.00016646394,0.0011570876,0.000070163274,0.00007256108,0.0006503822,0.000076597615,0.97590804,0.0012737449,0.015837938,0.000582176,0.0038961726],"study_design_scores_gemma":[0.00007842215,0.000102554965,0.0003373287,0.000006767259,0.000017996665,0.000059278005,0.00006404452,0.99148715,0.00021486368,0.0073394217,0.00026984044,0.000022272074],"about_ca_topic_score_codex":0.010594883,"about_ca_topic_score_gemma":0.0072975634,"teacher_disagreement_score":0.010594883,"about_ca_system_score_codex":0.00297062,"about_ca_system_score_gemma":0.0012098524,"threshold_uncertainty_score":0.024980485},"labels":[],"label_agreement":null},{"id":"W3011769773","doi":"10.1017/s0269964820000121","title":"ANALYTICALLY CLOSED-FORM SOLUTIONS FOR THE DISTRIBUTION OF A NUMBER OF CUSTOMERS SERVED DURING A BUSY PERIOD FOR SPECIAL CASES OF THE<i>GEO/G/1</i>QUEUE","year":2020,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Queue; Bernoulli's principle; Mathematics; Computation; Applied mathematics; Distribution (mathematics); Variance (accounting); Computer science; Mathematical analysis; Algorithm; Physics; Computer network","score_opus":0.023982330290847165,"score_gpt":0.2373908195035364,"score_spread":0.21340848921268923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011769773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5404763,0.0010401245,0.44259053,0.0011740221,0.0000896633,0.0000926689,0.00025875427,0.00037714,0.01390073],"genre_scores_gemma":[0.97950476,0.00024652822,0.017896337,0.00007196651,0.00003196697,0.000040245814,0.0000969281,0.00006290868,0.0020483206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996903,0.00007904904,0.0000112567395,0.00003834834,0.0000820823,0.00009899561],"domain_scores_gemma":[0.99757224,0.00156108,0.00035124837,0.00008341961,0.00031139795,0.000120536206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014323129,0.0004658059,0.0005633826,0.0010635082,0.00059400557,0.001303176,0.0010334118,0.0008850313,0.0033597958],"category_scores_gemma":[0.0069456603,0.00034684467,0.0004913187,0.00087000796,0.0012707642,0.0011751944,0.0007438464,0.0010256617,0.0002527141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014015906,0.00012095264,0.0071851625,0.00016428517,0.000051066305,0.0010624963,0.0005210775,0.75417733,0.008462349,0.21091917,0.002891105,0.014304867],"study_design_scores_gemma":[0.000008793907,0.000010128532,0.0006944655,0.00000893286,0.0000043491295,0.00010268131,0.00011415733,0.98536575,0.00042117908,0.012994105,0.00026361577,0.000011695721],"about_ca_topic_score_codex":0.004510146,"about_ca_topic_score_gemma":0.00311109,"teacher_disagreement_score":0.004510146,"about_ca_system_score_codex":0.0015175547,"about_ca_system_score_gemma":0.0011414743,"threshold_uncertainty_score":0.011239648},"labels":[],"label_agreement":null},{"id":"W3081198018","doi":"10.1017/s0269964820000418","title":"STOCHASTIC ORDERING OF LIFETIMES OF PARALLEL AND SERIES SYSTEMS COMPRISING HETEROGENEOUS DEPENDENT COMPONENTS WITH GENERALIZED BIRNBAUM-SAUNDERS DISTRIBUTIONS","year":2020,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Majorization; Series (stratigraphy); Skew; Mathematics; Applied mathematics; Multivariate statistics; Statistical physics; Combinatorics; Computer science; Statistics; Physics","score_opus":0.06625812114272245,"score_gpt":0.2794497347821831,"score_spread":0.21319161363946065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081198018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6018301,0.00066616194,0.39127952,0.0002811254,0.00004639268,0.00007157037,0.00017474486,0.00015600324,0.0054943427],"genre_scores_gemma":[0.9891005,0.0002586516,0.007550424,0.00003012055,0.000029289546,0.000040240535,0.00013172561,0.00003289854,0.0028261878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99941874,0.00011090283,0.000035787056,0.00013855743,0.00016428262,0.00013176657],"domain_scores_gemma":[0.9973459,0.001018641,0.0007181437,0.0002067187,0.000488215,0.00022239925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013961231,0.0006482546,0.0005893284,0.0010657669,0.0006006417,0.00090660807,0.0008025465,0.00053980236,0.0024994595],"category_scores_gemma":[0.0051465984,0.0002922077,0.00065308163,0.0006586111,0.0013764926,0.0020703706,0.000813921,0.0007869862,0.00022614225],"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":[0.00017712687,0.00007964113,0.018698312,0.00016506703,0.00010853405,0.0010700516,0.0007999457,0.44365028,0.023663782,0.4927341,0.0010983457,0.017754778],"study_design_scores_gemma":[0.00001587733,0.00008889941,0.006207349,0.000016897042,0.000053128228,0.00034074177,0.0003004338,0.8925461,0.0042213956,0.094512425,0.0016360783,0.00006062801],"about_ca_topic_score_codex":0.0034058027,"about_ca_topic_score_gemma":0.0024820818,"teacher_disagreement_score":0.0034058027,"about_ca_system_score_codex":0.0012991114,"about_ca_system_score_gemma":0.00077757274,"threshold_uncertainty_score":0.009425759},"labels":[],"label_agreement":null},{"id":"W3086585527","doi":"10.1017/s0269964820000467","title":"ORDERINGS OF FINITE MIXTURE MODELS WITH LOCATION-SCALE DISTRIBUTED COMPONENTS","year":2020,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Scale (ratio); Mixture model; Mixing (physics); Majorization; Stochastic ordering; Applied mathematics; Mathematics; Hazard; Computer science; Statistical physics; Statistics; Combinatorics; Physics","score_opus":0.06509825568933962,"score_gpt":0.27341138435831025,"score_spread":0.20831312866897062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086585527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029015006,0.00038008622,0.96603596,0.00046016282,0.000059449023,0.00004975591,0.00021728635,0.00016599831,0.0036162296],"genre_scores_gemma":[0.6813463,0.0016142335,0.29504263,0.0006077865,0.0004323499,0.00045645348,0.0017946005,0.0003672708,0.018338403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99737525,0.0011970195,0.00014653418,0.00048262943,0.0005596771,0.00023897097],"domain_scores_gemma":[0.9909807,0.005969354,0.0009942445,0.0008151012,0.0008097783,0.0004308652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046669655,0.0010959343,0.001120807,0.0015643329,0.0009699155,0.002261609,0.0023670213,0.0013543037,0.0050558783],"category_scores_gemma":[0.016422793,0.0008596756,0.0015208726,0.0014425877,0.0019293929,0.0035763173,0.0014955086,0.0022233806,0.0008650743],"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":[0.000086986634,0.00004369135,0.0020420186,0.00007907092,0.00004337892,0.00027377525,0.00027049432,0.05526614,0.0014668485,0.92510396,0.0009920533,0.014331514],"study_design_scores_gemma":[0.000026213347,0.000040206316,0.00075398164,0.00002451419,0.000032618496,0.0001551944,0.000052817802,0.3950128,0.000713035,0.60060096,0.002548495,0.00003908564],"about_ca_topic_score_codex":0.004327251,"about_ca_topic_score_gemma":0.005342615,"teacher_disagreement_score":0.0050558783,"about_ca_system_score_codex":0.0018226815,"about_ca_system_score_gemma":0.0012414976,"threshold_uncertainty_score":0.024681568},"labels":[],"label_agreement":null},{"id":"W3113143332","doi":"10.1017/s0269964820000637","title":"A CUMULATIVE RESIDUAL INACCURACY MEASURE FOR COHERENT SYSTEMS AT COMPONENT LEVEL AND UNDER NONHOMOGENEOUS POISSON PROCESSES","year":2020,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Point process; Measure (data warehouse); Mathematics; Poisson distribution; Residual; Applied mathematics; Stochastic process; Entropy (arrow of time); Martingale (probability theory); Reliability (semiconductor); Poisson process; Statistical physics; Computer science; Statistics; Algorithm; Data mining; Physics","score_opus":0.23691372452526024,"score_gpt":0.3487911879201594,"score_spread":0.11187746339489915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113143332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29250455,0.00090970536,0.7035223,0.0002954852,0.00005231285,0.000032854583,0.00012334899,0.00012533987,0.002434034],"genre_scores_gemma":[0.978581,0.0002807693,0.020379316,0.00003157203,0.000056781824,0.000025994927,0.00009418201,0.000019945472,0.00053046545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786216,0.00043434795,0.00016282852,0.00039319837,0.0009598747,0.00018763948],"domain_scores_gemma":[0.9878494,0.0065723006,0.0031117422,0.00091009756,0.0009870647,0.00056937133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003960754,0.00056278205,0.0008179877,0.0026207953,0.0004087848,0.001593557,0.0013912779,0.00112552,0.0006468974],"category_scores_gemma":[0.016400386,0.00026699898,0.00063484174,0.0015009593,0.0029825296,0.004011465,0.0020009542,0.001074791,0.00008578957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018379794,0.00007712364,0.012295196,0.00023612448,0.00013761643,0.00072005147,0.00067889673,0.38479477,0.012667631,0.56155807,0.00053957244,0.026111135],"study_design_scores_gemma":[0.000010440774,0.00012664044,0.006138591,0.000039230104,0.000043237196,0.0003425735,0.00012407367,0.8333442,0.0031980458,0.1559889,0.0005660836,0.00007804197],"about_ca_topic_score_codex":0.0006823269,"about_ca_topic_score_gemma":0.00032884063,"teacher_disagreement_score":0.003960754,"about_ca_system_score_codex":0.0011855825,"about_ca_system_score_gemma":0.00055829156,"threshold_uncertainty_score":0.020946741},"labels":[],"label_agreement":null},{"id":"W3118420773","doi":"10.1017/s0269964820000704","title":"ON MARKOVIAN QUEUES WITH SINGLE WORKING VACATION AND BERNOULLI INTERRUPTIONS","year":2021,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Unobservable; Computer science; Bernoulli's principle; Queue; Service (business); Mathematical optimization; Markov process; Operations research; Bulk queue; Server; Queueing theory; Real-time computing; Computer network; Mathematics; Business; Econometrics; Statistics; Marketing; Engineering","score_opus":0.019922464682221423,"score_gpt":0.21347119982650578,"score_spread":0.19354873514428436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118420773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46829268,0.0019014764,0.5072694,0.0029008933,0.0002530251,0.00022408082,0.0006928129,0.0003461469,0.018119434],"genre_scores_gemma":[0.9810674,0.0008126576,0.011486197,0.0001998053,0.0001438814,0.00011046415,0.00014658175,0.000045851422,0.005987183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961344,0.0015902725,0.00013825601,0.00047846508,0.00042751632,0.0012312153],"domain_scores_gemma":[0.9821578,0.012330094,0.0026595541,0.0005321234,0.0011577634,0.00116275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005737616,0.001858917,0.002600614,0.0018273985,0.0016931809,0.0032783397,0.002645802,0.0023783238,0.0041714087],"category_scores_gemma":[0.014359593,0.001053389,0.001610375,0.0016217004,0.0035068463,0.004156299,0.0017294522,0.0025757686,0.0004860703],"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":[0.00029722022,0.00019889398,0.002502844,0.00010398629,0.00008963571,0.00045071926,0.00030308872,0.7894808,0.0013483681,0.20098293,0.000966092,0.0032754862],"study_design_scores_gemma":[0.000039533006,0.00006171074,0.0004669337,0.000014008551,0.000022329566,0.00003095784,0.00007186637,0.96866196,0.00008248192,0.030302621,0.00021610952,0.000029421895],"about_ca_topic_score_codex":0.02895201,"about_ca_topic_score_gemma":0.01618107,"teacher_disagreement_score":0.02895201,"about_ca_system_score_codex":0.005109643,"about_ca_system_score_gemma":0.0033470353,"threshold_uncertainty_score":0.05756694},"labels":[],"label_agreement":null},{"id":"W3178805567","doi":"10.1017/s0269964821000231","title":"Equivalency in joint signatures for binary/multi-state systems of different sizes","year":2021,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Binary number; Joint (building); Transformation (genetics); State (computer science); Independent and identically distributed random variables; Computer science; Mathematics; Algorithm; Applied mathematics; Statistical physics; Statistics; Random variable; Physics; Arithmetic; Engineering","score_opus":0.09574424922981281,"score_gpt":0.33580944174042937,"score_spread":0.24006519251061656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178805567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047180165,0.00025899097,0.93947786,0.00019853268,0.00007305685,0.00007540857,0.00011284704,0.00016723645,0.012455866],"genre_scores_gemma":[0.85456026,0.00036209845,0.14080858,0.00020784009,0.00012022507,0.00021048445,0.00030388907,0.00010611009,0.0033205703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964908,0.0009928504,0.00026873266,0.0007002975,0.0012815893,0.000265669],"domain_scores_gemma":[0.99124885,0.0051306365,0.0010920131,0.001286412,0.0010614154,0.00018077935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026324426,0.00037760014,0.00056415366,0.0012907283,0.00049574714,0.0018428575,0.0009136852,0.00082567247,0.00394337],"category_scores_gemma":[0.015142998,0.00024232618,0.00066865806,0.0010073578,0.00200707,0.0038948967,0.0016739459,0.0014472696,0.00066133426],"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":[0.00013311679,0.00006140784,0.0017028421,0.00015492174,0.000028578766,0.00030414254,0.00035187503,0.029126726,0.010469323,0.90447503,0.00075945846,0.052432578],"study_design_scores_gemma":[0.00002364478,0.0001626464,0.0013394862,0.00003697902,0.000029234463,0.0007074899,0.00018133034,0.41068262,0.010005788,0.5734387,0.003331969,0.000060032897],"about_ca_topic_score_codex":0.00026911072,"about_ca_topic_score_gemma":0.00020925746,"teacher_disagreement_score":0.00394337,"about_ca_system_score_codex":0.0006357336,"about_ca_system_score_gemma":0.0005483506,"threshold_uncertainty_score":0.013921857},"labels":[],"label_agreement":null},{"id":"W3186294826","doi":"10.1017/s0269964821000280","title":"Ordering results for smallest claim amounts from two portfolios of risks with dependent heterogeneous exponentiated location-scale claims","year":2021,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Science and Engineering Research Board","keywords":"Mathematics; Combinatorics; Bernoulli's principle; Copula (linguistics); Random variable; Skewness; Scale parameter; Discrete mathematics; Statistics; Econometrics; Physics","score_opus":0.08615893649680414,"score_gpt":0.3390892845436302,"score_spread":0.252930348046826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186294826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33976114,0.0014587373,0.6141066,0.0043174815,0.00020738253,0.00029372564,0.00083506363,0.0005335803,0.038486246],"genre_scores_gemma":[0.9110711,0.0014735454,0.0691431,0.0005713188,0.00061492744,0.00025248225,0.0013338699,0.00032959535,0.01521001],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952473,0.0018157652,0.0002892082,0.00069827656,0.0012836886,0.00066569867],"domain_scores_gemma":[0.9517549,0.03349573,0.0042448556,0.0033734897,0.0026663987,0.004464692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010115433,0.0024505649,0.004229436,0.0038123387,0.0019264284,0.006536301,0.0034186486,0.0024572823,0.010420035],"category_scores_gemma":[0.043859106,0.0014695066,0.0030095964,0.0022888158,0.0038906417,0.009381763,0.0041389004,0.004981374,0.0008811657],"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":[0.000913511,0.00039696117,0.006390635,0.00040084717,0.00018674773,0.0010080719,0.00052224466,0.12947878,0.005384031,0.8268638,0.004605395,0.02384897],"study_design_scores_gemma":[0.000097018674,0.0001622012,0.0019778998,0.00008988974,0.0000974916,0.000227509,0.00014606626,0.40971607,0.0021262306,0.5838298,0.0014499543,0.00007982457],"about_ca_topic_score_codex":0.0017192864,"about_ca_topic_score_gemma":0.001545974,"teacher_disagreement_score":0.010420035,"about_ca_system_score_codex":0.0035663703,"about_ca_system_score_gemma":0.0023706171,"threshold_uncertainty_score":0.053496122},"labels":[],"label_agreement":null},{"id":"W4210772979","doi":"10.1017/s026996482100053x","title":"Some stochastic comparisons of lower records and lower record spacings","year":2022,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ministerio de Ciencia e Innovación","keywords":"Mathematics; Regular polygon; Order (exchange); Order statistic; Stochastic ordering; Statistics; Combinatorics; Geometry; Economics","score_opus":0.049203720327100464,"score_gpt":0.30068073119248084,"score_spread":0.2514770108653804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210772979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4253228,0.00047777474,0.5551185,0.00082997215,0.00009792205,0.00007419597,0.001564831,0.00032529404,0.016188689],"genre_scores_gemma":[0.92130345,0.00027947556,0.0723911,0.00015835566,0.00015354183,0.00008464002,0.0010611324,0.00010997088,0.0044583958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996451,0.00071454525,0.00040603796,0.0009813143,0.0010629675,0.00038403834],"domain_scores_gemma":[0.98197466,0.008724247,0.0041127936,0.0015872981,0.0025092615,0.0010916698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032295422,0.00040907096,0.00083915686,0.0015481595,0.00094940653,0.00217884,0.0012308025,0.00053523056,0.0069154343],"category_scores_gemma":[0.020857444,0.0003581364,0.0009466995,0.0017212026,0.0017886482,0.0035628001,0.0012924013,0.0019357372,0.00044846992],"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":[0.0004436797,0.00012584371,0.024440994,0.00027060104,0.00008305744,0.0010173931,0.00091512216,0.06643908,0.022886828,0.85193825,0.0018325567,0.029606616],"study_design_scores_gemma":[0.00007626593,0.00050251203,0.033752356,0.00009234059,0.00008589402,0.0011583482,0.0007500749,0.28716704,0.017659567,0.6498709,0.008680973,0.0002038541],"about_ca_topic_score_codex":0.0021334137,"about_ca_topic_score_gemma":0.0019013571,"teacher_disagreement_score":0.0069154343,"about_ca_system_score_codex":0.0013691887,"about_ca_system_score_gemma":0.0014577683,"threshold_uncertainty_score":0.02313441},"labels":[],"label_agreement":null},{"id":"W4210917212","doi":"10.1017/s0269964821000103","title":"SIGNATURES OF MULTI-STATE SYSTEMS BASED ON A SERIES/PARALLEL/RECURRENT STRUCTURE OF MODULES","year":2021,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State (computer science); Signature (topology); Series (stratigraphy); Computer science; Series and parallel circuits; Connection (principal bundle); Binary number; Theoretical computer science; Algorithm; Mathematics; Arithmetic; Physics","score_opus":0.01544712008188571,"score_gpt":0.23918166455672604,"score_spread":0.22373454447484034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210917212","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3064873,0.00026940147,0.68397886,0.0002453064,0.000080377475,0.000057221692,0.00014847217,0.00044597292,0.008287039],"genre_scores_gemma":[0.9591119,0.00007316996,0.03845616,0.0000578117,0.000038496062,0.00003918912,0.00008841947,0.000039271352,0.0020953913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999405,0.00012403562,0.00005192108,0.00015188656,0.00019040598,0.00007667147],"domain_scores_gemma":[0.99814117,0.00041545683,0.00061034865,0.00030482732,0.00035789557,0.00017027499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005921967,0.0002907468,0.0004825433,0.0008679612,0.0003722945,0.0010299481,0.0006362482,0.00054221856,0.0025265408],"category_scores_gemma":[0.0024400093,0.00018894691,0.00047469453,0.0005285935,0.0010704864,0.0020010618,0.0009889347,0.00072718505,0.00033469475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018475961,0.00006273816,0.0029643576,0.000110563684,0.00006565441,0.00073480274,0.00045041216,0.051708512,0.03760094,0.87074584,0.0006743495,0.03469702],"study_design_scores_gemma":[0.00002740722,0.0001397897,0.0019395518,0.000028936423,0.00004275951,0.0007238071,0.00012664309,0.58264303,0.017025387,0.39386997,0.0033637935,0.0000688982],"about_ca_topic_score_codex":0.0002693158,"about_ca_topic_score_gemma":0.00025767012,"teacher_disagreement_score":0.0025265408,"about_ca_system_score_codex":0.00043793558,"about_ca_system_score_gemma":0.0003541768,"threshold_uncertainty_score":0.008452177},"labels":[],"label_agreement":null},{"id":"W4245945006","doi":"10.1017/s0269964813000211","title":"AUTHORS' REJOINDER","year":2013,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Order (exchange); Mathematical economics; Epistemology; Management science; Mathematics; Philosophy; Economics","score_opus":0.09174195619849758,"score_gpt":0.30631487513425193,"score_spread":0.21457291893575436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245945006","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003496806,0.0019064693,0.0008286891,0.8239331,0.16942534,0.000021860216,0.00012487006,0.00016932904,0.0032406359],"genre_scores_gemma":[0.006757563,0.00083175744,0.0012371269,0.90692115,0.06553857,0.000108215754,0.000054284355,0.00022989573,0.018321505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9829692,0.0044436427,0.0014162025,0.0033122175,0.0069633713,0.00089540175],"domain_scores_gemma":[0.93415594,0.024060417,0.0036986854,0.0037965034,0.029584868,0.004703564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011274815,0.0012528874,0.0018138489,0.0012826968,0.004224669,0.0076041957,0.0049406076,0.021518698,0.010461176],"category_scores_gemma":[0.119316466,0.0006508243,0.0018430005,0.001111142,0.0055977153,0.0077499654,0.00520255,0.042459175,0.009949411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027268488,0.000007584096,0.00016737731,0.00005537539,0.000016588396,0.000231722,0.00047081584,0.000061206185,0.00009022322,0.0065338137,0.98948157,0.0028564923],"study_design_scores_gemma":[0.000018545958,0.000012946472,0.00030163565,0.0001620959,0.000023215101,0.00037716687,0.0010086118,0.00021300663,0.00029360564,0.011855097,0.98567563,0.000058475183],"about_ca_topic_score_codex":0.0033123156,"about_ca_topic_score_gemma":0.003558065,"teacher_disagreement_score":0.021518698,"about_ca_system_score_codex":0.0034113082,"about_ca_system_score_gemma":0.005185768,"threshold_uncertainty_score":0.059627652},"labels":[],"label_agreement":null},{"id":"W4280625434","doi":"10.1017/s0269964822000122","title":"On approximation of the analytic fixed finite time large <i>t</i> probability distributions in an extreme renewal process with no-mean inter-renewals","year":2022,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Renewal theory; Limiting; Probability density function; Pareto principle; Applied mathematics; Computation; Statistical physics; Statistics; Physics; Algorithm","score_opus":0.019710406095187715,"score_gpt":0.2533820935514902,"score_spread":0.2336716874563025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280625434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12611276,0.00038431716,0.859305,0.0003764567,0.00005690984,0.000041435425,0.000057679557,0.00022509934,0.01344025],"genre_scores_gemma":[0.9565052,0.00041944897,0.038525555,0.00012853886,0.000035079425,0.00006260661,0.00008879883,0.00007475914,0.0041599153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99954,0.00013013401,0.000019520336,0.00006364571,0.00015448197,0.00009229283],"domain_scores_gemma":[0.9980076,0.0010517417,0.00028192016,0.00014935501,0.00039315748,0.00011616505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002006011,0.00045015741,0.00054752047,0.0012619927,0.00047386924,0.0011409498,0.0015761799,0.0007905987,0.001996157],"category_scores_gemma":[0.00807954,0.00024451705,0.00076087215,0.00061387103,0.0023054378,0.0015914366,0.000999895,0.0014541293,0.00030871338],"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":[0.00004367473,0.00004333394,0.002048501,0.000074373325,0.000019366373,0.00054725946,0.00030238568,0.5097628,0.003252044,0.47413883,0.0007205506,0.009046824],"study_design_scores_gemma":[0.0000035164485,0.000010699477,0.0003572155,0.000021191534,0.0000050572285,0.00009893423,0.00006869698,0.9521929,0.00066293654,0.045886055,0.0006795968,0.000013218922],"about_ca_topic_score_codex":0.004238855,"about_ca_topic_score_gemma":0.0014735023,"teacher_disagreement_score":0.004238855,"about_ca_system_score_codex":0.0015420545,"about_ca_system_score_gemma":0.0007294077,"threshold_uncertainty_score":0.011188507},"labels":[],"label_agreement":null},{"id":"W4281679275","doi":"10.1017/s0269964822000183","title":"Equivalency of multi-state survival signatures of multi-state systems of different sizes and its use in the comparison of systems","year":2022,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"State (computer science); Transformation (genetics); Independent and identically distributed random variables; Independence (probability theory); Signature (topology); Mathematics; Applied mathematics; Transformation group; Stochastic ordering; State dependent; Statistical physics; Component (thermodynamics); Computer science; Algorithm; Statistics; Random variable; Pure mathematics; Physics; Mathematical economics","score_opus":0.14150622679160715,"score_gpt":0.35214270243794255,"score_spread":0.2106364756463354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281679275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08940761,0.00022823291,0.9017053,0.00014766422,0.00006552747,0.000075111006,0.000095241405,0.00023166946,0.008043621],"genre_scores_gemma":[0.89969736,0.00021326692,0.09791961,0.00011420017,0.000057623245,0.00018719424,0.00025195815,0.00010074612,0.0014580628],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975279,0.0008007212,0.00017794865,0.00046612744,0.00085063366,0.0001767859],"domain_scores_gemma":[0.98766124,0.00715374,0.0014027203,0.0023210733,0.001187491,0.000273698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004064837,0.0003657823,0.000672185,0.001609591,0.00056039874,0.0012463304,0.0010392834,0.00074647384,0.002528219],"category_scores_gemma":[0.02066556,0.00019451132,0.0006913781,0.0009546576,0.002048201,0.0035020355,0.0016917145,0.0012886439,0.0003173847],"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":[0.00015435967,0.00007779181,0.0032046675,0.00013547829,0.000038982485,0.00020500454,0.00054422143,0.054967932,0.011741728,0.8630254,0.00049084023,0.06541356],"study_design_scores_gemma":[0.000021702957,0.00027594218,0.0041132877,0.00003774854,0.000038307542,0.0004808365,0.00022562964,0.50550634,0.01126069,0.47450054,0.0034568894,0.00008210107],"about_ca_topic_score_codex":0.00036289022,"about_ca_topic_score_gemma":0.00017819618,"teacher_disagreement_score":0.004064837,"about_ca_system_score_codex":0.0007210483,"about_ca_system_score_gemma":0.0005873495,"threshold_uncertainty_score":0.02149719},"labels":[],"label_agreement":null},{"id":"W4285391138","doi":"10.1017/s0269964822000195","title":"Applications of the classical compound Poisson model with claim sizes following a compound distribution","year":2022,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Negative binomial distribution; Poisson distribution; Zero-inflated model; Zero (linguistics); Generalization; Geometric distribution; Binomial distribution; Applied mathematics; Binomial (polynomial); Compound Poisson distribution; Mathematics; Distribution (mathematics); Count data; Poisson binomial distribution; Risk model; Computer science; Statistical physics; Probability distribution; Poisson regression; Statistics; Beta-binomial distribution; Mathematical analysis; Physics","score_opus":0.045458400368452084,"score_gpt":0.2944156391924576,"score_spread":0.24895723882400553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285391138","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20028417,0.0014601187,0.77174497,0.0027760274,0.0003602789,0.00018948085,0.0004904528,0.00034537824,0.022349155],"genre_scores_gemma":[0.9370787,0.0010844225,0.053062517,0.00024421723,0.00032085713,0.00010352413,0.00018869019,0.00007703818,0.007840008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983038,0.0006031483,0.00008357669,0.00031418784,0.00048282565,0.00021248897],"domain_scores_gemma":[0.99132746,0.0057290844,0.0013217281,0.00065336225,0.00062177645,0.0003467574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039643333,0.00080058357,0.0011105383,0.00093223265,0.00080609747,0.0017123766,0.0019309922,0.0016407649,0.0055358233],"category_scores_gemma":[0.010224368,0.0004186089,0.0012122841,0.0011124621,0.0016636598,0.0030110204,0.0016822402,0.0020061973,0.0004471268],"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":[0.0002244753,0.00012016076,0.002565808,0.00011989131,0.000063932275,0.001053033,0.00020244466,0.4293113,0.0028963152,0.5460153,0.0027373969,0.0146899065],"study_design_scores_gemma":[0.000035090474,0.00010031385,0.0005496035,0.000015192415,0.000024588664,0.00041912915,0.000056841287,0.8390311,0.00081374653,0.15729192,0.0016308966,0.000031571446],"about_ca_topic_score_codex":0.0025443863,"about_ca_topic_score_gemma":0.001718392,"teacher_disagreement_score":0.0055358233,"about_ca_system_score_codex":0.0019497622,"about_ca_system_score_gemma":0.0014900443,"threshold_uncertainty_score":0.020965636},"labels":[],"label_agreement":null},{"id":"W4288084923","doi":"10.1017/s0269964822000237","title":"Ordered multi-state system signature and its dynamic version in evaluating used multi-state systems","year":2022,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Signature (topology); State (computer science); Computer science; Reliability (semiconductor); Binary number; Field (mathematics); Statistical physics; Theoretical computer science; Algorithm; Mathematics; Physics; Quantum mechanics; Arithmetic; Pure mathematics","score_opus":0.08675384846781943,"score_gpt":0.3489493606524545,"score_spread":0.2621955121846351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288084923","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09526145,0.0006644263,0.89844996,0.00024569102,0.000066262,0.000088617555,0.00014847427,0.00017756305,0.00489761],"genre_scores_gemma":[0.91178334,0.0002690399,0.0866932,0.0000514503,0.00005460652,0.00008082466,0.00016412644,0.000040226554,0.00086325605],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995414,0.00174848,0.00026378443,0.00054268434,0.0017702229,0.0002608147],"domain_scores_gemma":[0.98779255,0.006373377,0.0017205641,0.0013777225,0.0023182547,0.00041751773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040250043,0.00060219655,0.000785998,0.0026114488,0.00050622824,0.0021046936,0.0010777048,0.0007832626,0.0016359619],"category_scores_gemma":[0.017620478,0.00019377384,0.0005904594,0.0020032066,0.0020550184,0.0052884854,0.0014600598,0.0010930778,0.00022298584],"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":[0.00034754636,0.00010996742,0.020160964,0.000344994,0.0001356943,0.0006212105,0.00044436468,0.28319764,0.013071172,0.5334089,0.0008899698,0.14726762],"study_design_scores_gemma":[0.000014235217,0.00026055,0.00425292,0.00005107735,0.000060857954,0.00047547097,0.00017828512,0.82172954,0.0076498045,0.16315685,0.0020946187,0.00007576062],"about_ca_topic_score_codex":0.0014915365,"about_ca_topic_score_gemma":0.00083816506,"teacher_disagreement_score":0.0040250043,"about_ca_system_score_codex":0.0014657024,"about_ca_system_score_gemma":0.0015307283,"threshold_uncertainty_score":0.021286488},"labels":[],"label_agreement":null},{"id":"W4296826927","doi":"10.1017/s0269964822000316","title":"Preservation properties of some reliability classes by lifetimes of coherent and mixed systems and their signatures","year":2022,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Independent and identically distributed random variables; Component (thermodynamics); Reliability (semiconductor); Exponential function; Class (philosophy); Exponential distribution; Reliability theory; Mathematics; Applied mathematics; Statistical physics; Statistics; Computer science; Physics; Failure rate; Random variable; Mathematical analysis; Quantum mechanics","score_opus":0.04498806058397651,"score_gpt":0.26428568456250073,"score_spread":0.21929762397852423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296826927","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47043926,0.00097533845,0.5225032,0.00038409367,0.000036670415,0.00004923643,0.00020507239,0.0002680497,0.00513903],"genre_scores_gemma":[0.9736883,0.0002734328,0.02485552,0.000046176072,0.00006470345,0.000051840172,0.00010599951,0.000051853127,0.00086213445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985487,0.00030462386,0.000112909234,0.00037580924,0.00049887947,0.00015899568],"domain_scores_gemma":[0.98652494,0.005607701,0.0041878666,0.0014716203,0.0017419442,0.00046594397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027971908,0.00036876785,0.0004099952,0.0011912805,0.00049996877,0.001160618,0.00077328656,0.00048292935,0.0008442103],"category_scores_gemma":[0.016617691,0.00026539245,0.00047400856,0.00061895343,0.0015445953,0.0025026249,0.0009159851,0.0008616204,0.00018885687],"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":[0.0005549367,0.00017200026,0.031811435,0.0004244432,0.0001475369,0.0008496959,0.0028014372,0.13001461,0.062665306,0.61177415,0.0017633649,0.1570212],"study_design_scores_gemma":[0.000049296577,0.00056885416,0.015406282,0.00007580491,0.00010446382,0.0018978774,0.0007815593,0.6580609,0.031614788,0.2845255,0.006802559,0.00011207396],"about_ca_topic_score_codex":0.0006196281,"about_ca_topic_score_gemma":0.0003230676,"teacher_disagreement_score":0.0027971908,"about_ca_system_score_codex":0.00075087766,"about_ca_system_score_gemma":0.0006837633,"threshold_uncertainty_score":0.014793098},"labels":[],"label_agreement":null},{"id":"W4313889301","doi":"10.1017/s0269964822000468","title":"Rotation in age patterns of mortality decline: statistical evidence and modeling","year":2023,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Research Foundation of Korea","keywords":"Rotation (mathematics); Context (archaeology); Econometrics; Term (time); Statistics; Computer science; Mathematics; Demography; Geography; Artificial intelligence; Physics; Sociology","score_opus":0.08316429674792503,"score_gpt":0.3485930552124357,"score_spread":0.2654287584645107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313889301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7933998,0.005998961,0.1839067,0.006628647,0.0002268683,0.0002243715,0.0024135534,0.0004935009,0.0067075673],"genre_scores_gemma":[0.98779315,0.0012801968,0.008841512,0.00020941494,0.00015158317,0.000048651647,0.0012262199,0.000034927027,0.00041434588],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99319106,0.004381788,0.00038184895,0.0012069709,0.000507543,0.00033081428],"domain_scores_gemma":[0.9021584,0.07412616,0.012831049,0.007915232,0.0023361729,0.0006328916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029001582,0.00079394545,0.0013575682,0.003067414,0.0006370042,0.0022599914,0.0022901967,0.0015265835,0.0026246097],"category_scores_gemma":[0.08176562,0.00044587778,0.0024415106,0.003762873,0.0027217062,0.0027088316,0.0017642179,0.0018001323,0.00065464637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063379086,0.00022208839,0.538785,0.0003812226,0.0012573065,0.0006915071,0.0013965777,0.29185745,0.00050951785,0.08151673,0.0068193874,0.07592959],"study_design_scores_gemma":[0.00010162433,0.00015707764,0.07673706,0.00013254148,0.0002559618,0.00027316483,0.00049324566,0.82924,0.00034371365,0.087907724,0.0042569754,0.000100875804],"about_ca_topic_score_codex":0.01435193,"about_ca_topic_score_gemma":0.0068801376,"teacher_disagreement_score":0.029001582,"about_ca_system_score_codex":0.0012345444,"about_ca_system_score_gemma":0.0009715081,"threshold_uncertainty_score":0.15337682},"labels":[],"label_agreement":null},{"id":"W4317209053","doi":"10.1017/s026996482200047x","title":"Relationships between cumulative entropy/extropy, Gini mean difference and probability weighted moments","year":2023,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Statistics; Estimator; Cumulative distribution function; Residual; Entropy (arrow of time); Maximum entropy probability distribution; Gini coefficient; Principle of maximum entropy; Probability density function; Inequality; Mathematical analysis; Physics; Algorithm; Economic inequality","score_opus":0.18234204651671027,"score_gpt":0.3742536129126063,"score_spread":0.19191156639589602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317209053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47487435,0.001519256,0.5163565,0.0007750286,0.00008411103,0.000033829972,0.0003256366,0.00016394426,0.0058673844],"genre_scores_gemma":[0.9789494,0.00027862465,0.019767523,0.000044255765,0.00008466365,0.000020682091,0.00011880867,0.00002813521,0.00070791674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992157,0.00027579122,0.00005122012,0.00020059054,0.0001947837,0.00006186863],"domain_scores_gemma":[0.9868182,0.008861112,0.0019972273,0.0010337706,0.0008264464,0.0004632919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022213473,0.00029143563,0.00049430964,0.0021140832,0.00028812667,0.0012107268,0.0007480005,0.00057284103,0.0014165416],"category_scores_gemma":[0.021347838,0.00015257021,0.0003705591,0.0013966011,0.0018846501,0.0030098553,0.001141509,0.0008996723,0.00011810477],"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":[0.00013904303,0.00005552629,0.03241822,0.0001381171,0.00024110598,0.00035373864,0.0003940672,0.15065932,0.0068803956,0.75182915,0.0010501621,0.05584113],"study_design_scores_gemma":[0.000010843013,0.00009183457,0.030762557,0.00003435579,0.00004310883,0.00032681655,0.000089394394,0.340642,0.0018943818,0.6244439,0.0015923718,0.0000683734],"about_ca_topic_score_codex":0.00061422016,"about_ca_topic_score_gemma":0.0004968939,"teacher_disagreement_score":0.0022213473,"about_ca_system_score_codex":0.001001357,"about_ca_system_score_gemma":0.00038512825,"threshold_uncertainty_score":0.011747718},"labels":[],"label_agreement":null},{"id":"W4319791779","doi":"10.1017/s0269964822000079","title":"Pareto-optimal reinsurance with default risk and solvency regulation","year":2023,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":6,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Reinsurance; Indemnity; Solvency; Actuarial science; Pareto principle; Constraint (computer-aided design); Asset (computer security); Investment (military); Economics; Finance; Computer science; Mathematics","score_opus":0.03902347184049652,"score_gpt":0.2883907585299058,"score_spread":0.2493672866894093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319791779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3748864,0.0022872735,0.58669215,0.003939424,0.0002115354,0.00036368883,0.00039871017,0.00020078715,0.03102006],"genre_scores_gemma":[0.97621244,0.00055462745,0.015463232,0.00018959738,0.00006664799,0.00011697913,0.000084132764,0.00003545094,0.0072768573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9953501,0.0024552706,0.00019538362,0.0005719503,0.00054711994,0.000880048],"domain_scores_gemma":[0.9880873,0.007890978,0.0016639945,0.0006625497,0.0008814782,0.0008136438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009435661,0.0016611353,0.0033381141,0.0012790126,0.00093304925,0.002809389,0.0023382506,0.003935385,0.0040126555],"category_scores_gemma":[0.024316723,0.0010346672,0.0018799432,0.00072729035,0.0033970224,0.0032667674,0.002493292,0.003597043,0.00033712326],"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":[0.00022068933,0.00021112073,0.0011784164,0.00011768581,0.00009764492,0.0005311671,0.00013382982,0.76062065,0.0014368693,0.2267533,0.0013242561,0.0073743765],"study_design_scores_gemma":[0.00010087358,0.0001861641,0.00078604236,0.00007867702,0.000043578842,0.00013120759,0.00011548681,0.8755346,0.00072318374,0.121274605,0.0009821876,0.000043398595],"about_ca_topic_score_codex":0.0038255812,"about_ca_topic_score_gemma":0.0013101764,"teacher_disagreement_score":0.009435661,"about_ca_system_score_codex":0.003245044,"about_ca_system_score_gemma":0.0026294882,"threshold_uncertainty_score":0.049901187},"labels":[],"label_agreement":null},{"id":"W4387776371","doi":"10.1017/s0269964823000189","title":"On Jensen- divergence measure","year":2023,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Divergence (linguistics); Measure (data warehouse); Kullback–Leibler divergence; Mathematics; Alpha (finance); Similarity measure; Entropy (arrow of time); Combinatorics; Applied mathematics; Statistics; Computer science; Artificial intelligence; Physics; Data mining; Psychometrics","score_opus":0.021482590639140226,"score_gpt":0.23961081402440093,"score_spread":0.2181282233852607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387776371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040726837,0.0027362294,0.92580163,0.0015191673,0.00024316368,0.000060738243,0.000289593,0.0001563504,0.02846629],"genre_scores_gemma":[0.83219093,0.0023881567,0.15042758,0.0009771124,0.00078878464,0.00024309661,0.00058083015,0.00029176185,0.012111695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949108,0.0019865846,0.00028026063,0.00057862024,0.0018534627,0.0003902427],"domain_scores_gemma":[0.98810774,0.007945383,0.00069625786,0.00062683143,0.002048591,0.00057507463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063176802,0.0012713119,0.0013415286,0.0029001269,0.0010946576,0.0021366766,0.0018935133,0.0018313524,0.0038938979],"category_scores_gemma":[0.017652847,0.00042846854,0.0011787574,0.0014028683,0.003953373,0.0044284514,0.0023954508,0.0031216298,0.00074796344],"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":[0.000025735226,0.000023317722,0.0005281611,0.00013337166,0.000033538825,0.00009867259,0.00012943984,0.029666878,0.0012470965,0.9576345,0.0017078924,0.008771562],"study_design_scores_gemma":[0.0000060265816,0.000037773658,0.000654919,0.00004833186,0.000010168717,0.0001703626,0.000044929344,0.24850269,0.00051579805,0.7473832,0.0025985907,0.000027183227],"about_ca_topic_score_codex":0.0023706057,"about_ca_topic_score_gemma":0.0013470177,"teacher_disagreement_score":0.0063176802,"about_ca_system_score_codex":0.0030900354,"about_ca_system_score_gemma":0.0011305242,"threshold_uncertainty_score":0.033411443},"labels":[],"label_agreement":null},{"id":"W4395048369","doi":"10.1017/s0269964824000056","title":"An inequality for log-concave functions and its use in the study of failure rates","year":2024,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Concave function; Inequality; Mathematics; Econometrics; Statistics; Applied mathematics; Mathematical analysis; Geometry","score_opus":0.16094227445135673,"score_gpt":0.4141129886519045,"score_spread":0.25317071420054776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395048369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0136384955,0.0014887038,0.9736747,0.0010239345,0.000114739036,0.000037149028,0.00012404699,0.00011925363,0.009778887],"genre_scores_gemma":[0.7355951,0.004493657,0.24781263,0.00084227667,0.0011230356,0.00029231093,0.00043992023,0.0004097259,0.0089913765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99641174,0.0017746524,0.00014808592,0.00038635198,0.0009492193,0.0003299377],"domain_scores_gemma":[0.95865774,0.034323696,0.0014602211,0.0011685981,0.0036240707,0.0007657497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011993347,0.001342686,0.0013136269,0.00307456,0.0008880486,0.0028834422,0.0021803146,0.0015274275,0.0031295784],"category_scores_gemma":[0.058380377,0.00054818025,0.0016528795,0.0018498121,0.0039628595,0.005915139,0.0024243998,0.0046676937,0.0006076802],"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":[0.00007105976,0.00005727734,0.0018252076,0.00022547132,0.000053691132,0.0003370512,0.00035984593,0.06479232,0.004429185,0.8973379,0.0022572326,0.028253766],"study_design_scores_gemma":[0.000012483684,0.000073695584,0.0011387427,0.00013657498,0.00003354599,0.000371389,0.000069187496,0.6616743,0.0017383172,0.33093196,0.003778619,0.00004123415],"about_ca_topic_score_codex":0.002737822,"about_ca_topic_score_gemma":0.0011239204,"teacher_disagreement_score":0.011993347,"about_ca_system_score_codex":0.0024690197,"about_ca_system_score_gemma":0.001412779,"threshold_uncertainty_score":0.06342763},"labels":[],"label_agreement":null},{"id":"W4396705521","doi":"10.1017/s026996482400007x","title":"Orderings of extremes among dependent extended Weibull random variables","year":2024,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Weibull distribution; Mathematics; Random variable; Statistics; Statistical physics; Physics","score_opus":0.03773364661571419,"score_gpt":0.3015720188562941,"score_spread":0.2638383722405799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396705521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5709828,0.0005527437,0.4008272,0.0010032548,0.00008194267,0.00008943277,0.00041191676,0.00018824478,0.02586231],"genre_scores_gemma":[0.9854639,0.0001345249,0.011811352,0.000074565825,0.000052152136,0.000053913227,0.00013544623,0.000025437217,0.0022487037],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979159,0.000736617,0.00009304933,0.00027726198,0.0006515024,0.00032562634],"domain_scores_gemma":[0.9886269,0.007051631,0.0015806596,0.0005437105,0.0012291126,0.00096800464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042093433,0.00048237908,0.0007503372,0.0023237683,0.0009174844,0.0023514302,0.0013388469,0.0008409422,0.0038702858],"category_scores_gemma":[0.014710288,0.0004972865,0.0009356644,0.0011073595,0.0027345836,0.002657545,0.001621813,0.0022443314,0.00027221636],"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":[0.00016013002,0.000059070782,0.008238529,0.000062320185,0.00006467407,0.00070281286,0.00033928826,0.09066479,0.00325853,0.88983285,0.0009203403,0.005696583],"study_design_scores_gemma":[0.000042173226,0.0001382588,0.0080087865,0.000055212633,0.000040229577,0.0002535333,0.00035253618,0.40145132,0.0019610098,0.5854855,0.002104878,0.00010647813],"about_ca_topic_score_codex":0.00173937,"about_ca_topic_score_gemma":0.0014503325,"teacher_disagreement_score":0.0042093433,"about_ca_system_score_codex":0.0021629424,"about_ca_system_score_gemma":0.0006500364,"threshold_uncertainty_score":0.022261381},"labels":[],"label_agreement":null},{"id":"W4398210503","doi":"10.1017/s0269964824000068","title":"Quantile-based information generating functions and their properties and uses","year":2024,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Quantile; Computer science; Quantile function; Econometrics; Mathematics; Statistics; Probability distribution; Moment-generating function","score_opus":0.09101177315844522,"score_gpt":0.2877625959198129,"score_spread":0.19675082276136768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398210503","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058431663,0.00085317803,0.9347832,0.0006030956,0.000050334453,0.00008896883,0.0004319939,0.00033337215,0.004424208],"genre_scores_gemma":[0.8691072,0.0013046126,0.122878954,0.00027576555,0.00020468405,0.00033081672,0.0009244386,0.0002038227,0.004769693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976628,0.0011210397,0.00010564987,0.00030676002,0.00056835427,0.00023540549],"domain_scores_gemma":[0.95905024,0.03258919,0.0022178744,0.0024753152,0.0030910338,0.00057633955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009182051,0.0007294293,0.0009785537,0.0033611883,0.00061582506,0.001950367,0.001640329,0.001146225,0.0047317743],"category_scores_gemma":[0.048707537,0.00043245376,0.0009985028,0.0026842465,0.0023326634,0.0030279486,0.0013579781,0.0019617942,0.0005932299],"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":[0.000094814946,0.00004684424,0.005148343,0.00008438012,0.00002854936,0.000178862,0.00023669572,0.11288251,0.0009411582,0.8441354,0.0015910462,0.034631394],"study_design_scores_gemma":[0.000017595536,0.000050828206,0.0019991791,0.000056688903,0.000017607386,0.0001935307,0.00006210616,0.6725905,0.000890871,0.3223353,0.0017446682,0.000041168496],"about_ca_topic_score_codex":0.0020976248,"about_ca_topic_score_gemma":0.0009560228,"teacher_disagreement_score":0.009182051,"about_ca_system_score_codex":0.0018862715,"about_ca_system_score_gemma":0.00106557,"threshold_uncertainty_score":0.048559904},"labels":[],"label_agreement":null},{"id":"W4407923945","doi":"10.1017/s0269964825000038","title":"Some generalized information and divergence generating functions: properties, estimation, validation, and applications","year":2025,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Divergence (linguistics); Computer science; Estimation; Applied mathematics; Data mining; Mathematics; Statistics; Engineering","score_opus":0.011979836905871243,"score_gpt":0.22399286110518082,"score_spread":0.2120130241993096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407923945","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039481204,0.00088021957,0.9576721,0.00025609182,0.000030009216,0.00004396156,0.000120797435,0.00018085414,0.0013347558],"genre_scores_gemma":[0.81801635,0.001237773,0.1783808,0.00020015448,0.00013093297,0.00024731367,0.0005169311,0.000113450566,0.001156209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997584,0.0013057652,0.00012292463,0.00027215615,0.00058818783,0.00012693364],"domain_scores_gemma":[0.9721147,0.02266947,0.0014728149,0.0015892414,0.0019610492,0.0001928386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0099526765,0.0010032539,0.0010215192,0.0032261806,0.0004377419,0.0013596979,0.0012941419,0.0014225229,0.0010850091],"category_scores_gemma":[0.03775038,0.00030605134,0.001096214,0.0017663336,0.0018125915,0.0029783186,0.0013218429,0.0014042123,0.00016547707],"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":[0.000099899116,0.00006958304,0.007382517,0.00027396448,0.0001640654,0.00024249859,0.00022610815,0.6276409,0.0035178661,0.26844734,0.0011035979,0.090831704],"study_design_scores_gemma":[0.000007447775,0.000040488547,0.0013925029,0.000030553554,0.00001630804,0.00011089012,0.000016846681,0.94364864,0.001273906,0.05286975,0.0005572793,0.000035395864],"about_ca_topic_score_codex":0.0015051529,"about_ca_topic_score_gemma":0.00053342356,"teacher_disagreement_score":0.0099526765,"about_ca_system_score_codex":0.0012194675,"about_ca_system_score_gemma":0.0008354214,"threshold_uncertainty_score":0.05263543},"labels":[],"label_agreement":null},{"id":"W4412998675","doi":"10.1017/s0269964825100053","title":"On a new family of <i>r</i>-modified reliability systems","year":2025,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Computer science; Mathematics; Engineering; Physics; Thermodynamics","score_opus":0.010364687075831557,"score_gpt":0.20809791940810674,"score_spread":0.1977332323322752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412998675","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10734433,0.00071277557,0.87477857,0.00064267125,0.00008245392,0.000066779525,0.00024849773,0.0003012526,0.015822679],"genre_scores_gemma":[0.9176086,0.0005847765,0.0751739,0.00020866941,0.00014857581,0.00011054651,0.00021868471,0.00012855713,0.0058177747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990701,0.0003294798,0.000045628476,0.00020166143,0.0002491557,0.00010403188],"domain_scores_gemma":[0.9972216,0.0011280559,0.00066840515,0.0002938817,0.0005404275,0.00014760201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014637427,0.00073540566,0.00061441545,0.0011224893,0.00053257437,0.0009859011,0.0011164619,0.0009250133,0.0030186882],"category_scores_gemma":[0.00489635,0.0003081629,0.0008517039,0.0006815,0.0009521795,0.0016151097,0.00071165373,0.0010998484,0.00037805774],"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":[0.00005741334,0.000039376348,0.0017287593,0.00008476876,0.000052955653,0.00065885996,0.00021907911,0.40361932,0.007820336,0.5659725,0.0032877685,0.016458822],"study_design_scores_gemma":[0.0000063573166,0.000032646436,0.00042573927,0.0000119794795,0.0000072580265,0.00025554796,0.000018798653,0.9182084,0.00057590904,0.07779433,0.0026446553,0.000018388488],"about_ca_topic_score_codex":0.0013623207,"about_ca_topic_score_gemma":0.0005830603,"teacher_disagreement_score":0.0030186882,"about_ca_system_score_codex":0.00094032724,"about_ca_system_score_gemma":0.00048201325,"threshold_uncertainty_score":0.010098457},"labels":[],"label_agreement":null},{"id":"W4414148123","doi":"10.1017/s0269964825100119","title":"On orderings of vectors of order statistics and sample ranges from heterogeneous bivariate Pareto variables","year":2025,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Majorization; Bivariate analysis; Order statistic; Stochastic ordering; Pareto principle; Sample size determination; Lomax distribution; Sample (material)","score_opus":0.029413372369308275,"score_gpt":0.3005047937360026,"score_spread":0.2710914213666943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414148123","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101740114,0.0008450021,0.8869566,0.00051037385,0.000036493664,0.00012111146,0.0003116057,0.00016949158,0.009309298],"genre_scores_gemma":[0.7136027,0.0020373934,0.27624297,0.00042261637,0.00034258983,0.0005472965,0.00143014,0.00031840484,0.0050557773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9894092,0.0053110677,0.000637751,0.0010446205,0.0029068494,0.0006906269],"domain_scores_gemma":[0.9056387,0.07518411,0.00837816,0.003989344,0.0049832906,0.0018264217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013410124,0.0010122104,0.0013640001,0.003929244,0.0011253437,0.003679916,0.0012535648,0.0010060314,0.0036649588],"category_scores_gemma":[0.06287816,0.000921434,0.0015625883,0.0037257897,0.0033672175,0.007155996,0.0018603331,0.0028780375,0.00059062004],"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":[0.00007154604,0.00005048315,0.00314175,0.000096838994,0.000033170458,0.00026727523,0.00035412417,0.018873885,0.001281538,0.96135545,0.00048416495,0.013989752],"study_design_scores_gemma":[0.000041198797,0.00012150958,0.002073027,0.0000716448,0.000027873899,0.00034220557,0.00018013852,0.15270452,0.0013739057,0.84045887,0.0025525405,0.000052564475],"about_ca_topic_score_codex":0.0013649747,"about_ca_topic_score_gemma":0.0011511062,"teacher_disagreement_score":0.013410124,"about_ca_system_score_codex":0.0021452112,"about_ca_system_score_gemma":0.0013591503,"threshold_uncertainty_score":0.07092035},"labels":[],"label_agreement":null}]}