{"meta":{"query_hash":"7a62e2ac0d93","filters":{"venue":"The Annals of Applied Probability"},"cohort_total":61,"direct_labels_cover":0,"predictions_cover":61,"exported":61,"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/7a62e2ac0d93","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+Annals+of+Applied+Probability"},"results":[{"id":"W1971757493","doi":"10.1214/12-aap840","title":"Poisson–Dirichlet branching random walks","year":2013,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Random walk; Branching random walk; Combinatorics; Mathematics; Branching process; Poisson distribution; Vertex (graph theory); Tree (set theory); Loop-erased random walk; Heterogeneous random walk in one dimension; Statistics; Graph","score_opus":0.12150123185709999,"score_gpt":0.3460436688536372,"score_spread":0.2245424369965372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971757493","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":[0.37470117,0.0011473323,0.59102494,0.0010830425,0.0001454289,0.00006021256,0.0004265585,0.00029604582,0.031115325],"genre_scores_gemma":[0.92552024,0.0007469526,0.064064115,0.00017347992,0.00015492791,0.00011311992,0.00043571857,0.0001195033,0.008671953],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992162,0.00023938809,0.00002303153,0.00016477806,0.00019932899,0.00015736613],"domain_scores_gemma":[0.995321,0.0030221024,0.00039090918,0.00035257146,0.00038151452,0.0005319861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015133251,0.0005785385,0.0007370924,0.0017073748,0.0009162072,0.0016102247,0.0013692942,0.000992598,0.004257966],"category_scores_gemma":[0.010051814,0.00037152442,0.0006155537,0.0010025383,0.0020041973,0.0020130828,0.0014256388,0.0018295593,0.0007001584],"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":[0.00005198705,0.000025016388,0.001915893,0.0000392188,0.000015998476,0.00020801325,0.00012895688,0.046078045,0.0019210866,0.941259,0.0014071009,0.0069495807],"study_design_scores_gemma":[0.00001209158,0.000014100998,0.00087256054,0.000021206355,0.0000105221725,0.0001260932,0.000053634354,0.40860733,0.0012514883,0.58732325,0.0016794745,0.000028291392],"about_ca_topic_score_codex":0.0020998958,"about_ca_topic_score_gemma":0.0025903792,"teacher_disagreement_score":0.004257966,"about_ca_system_score_codex":0.0013828664,"about_ca_system_score_gemma":0.0007024937,"threshold_uncertainty_score":0.014244378},"labels":[],"label_agreement":null},{"id":"W1980260488","doi":"10.1214/09-aap673","title":"Wiener–Hopf factorization and distribution of extrema for a family of Lévy processes","year":2010,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Mathematics; Infimum and supremum; Factorization; Mathematical analysis; Distribution (mathematics); Applied mathematics; Pure mathematics","score_opus":0.0814934969678955,"score_gpt":0.27005518656556954,"score_spread":0.18856168959767405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980260488","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":[0.25426438,0.0008510708,0.73444504,0.0003094707,0.00006554678,0.00003660223,0.00009076261,0.00023594782,0.00970124],"genre_scores_gemma":[0.9216772,0.0008220899,0.071836025,0.000068162975,0.00010396804,0.000056458775,0.00013155294,0.00011266837,0.0051919245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997029,0.00006339461,0.000018052822,0.00006425356,0.000093539384,0.000057941288],"domain_scores_gemma":[0.9989004,0.00048346128,0.00017779018,0.00008388631,0.0001922194,0.00016220787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016668362,0.00071575446,0.00065500644,0.0021659003,0.00094057,0.0014487596,0.00076220784,0.00082158076,0.0036642603],"category_scores_gemma":[0.0053095147,0.00030917113,0.0009991485,0.0006301326,0.0019344002,0.0028977601,0.00087704655,0.0012060909,0.00053283153],"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":[0.00003235606,0.000024396048,0.0012055879,0.000041716245,0.000018471017,0.00032701652,0.00022749128,0.026150612,0.003973418,0.95916593,0.00047361915,0.0083594965],"study_design_scores_gemma":[0.000015858575,0.000048042813,0.0012156063,0.000033563512,0.000016200456,0.00039580822,0.00009836495,0.38646576,0.0026019858,0.6069384,0.002114489,0.000055960183],"about_ca_topic_score_codex":0.0010936299,"about_ca_topic_score_gemma":0.0006278705,"teacher_disagreement_score":0.0036642603,"about_ca_system_score_codex":0.0010146424,"about_ca_system_score_gemma":0.0006412037,"threshold_uncertainty_score":0.012258172},"labels":[],"label_agreement":null},{"id":"W1988759914","doi":"10.1214/105051607000000276","title":"Stationary distribution for dioecious branching particle systems with rapid stirring","year":2007,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; University of Oxford","keywords":"Branching (polymer chemistry); Branching process; Statistical physics; Particle system; Dioecy; Particle (ecology); Distribution (mathematics); Biology; Physics; Mathematics; Materials science; Computer science; Ecology; Mathematical analysis","score_opus":0.1327971742548323,"score_gpt":0.358791221414364,"score_spread":0.22599404715953167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988759914","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":[0.74069965,0.0010187494,0.24488959,0.0017854571,0.00012648349,0.00007452939,0.0002952435,0.00032983941,0.010780476],"genre_scores_gemma":[0.98594517,0.00054132985,0.00866478,0.00010926809,0.00012867634,0.00007301892,0.0002663024,0.00008172944,0.0041897423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996164,0.0001113295,0.000017640974,0.00007847372,0.00007018779,0.000105910076],"domain_scores_gemma":[0.99517363,0.0023355084,0.0009144761,0.00025113055,0.0005583125,0.00076706253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001490441,0.00086897856,0.0011943027,0.0018738911,0.001199541,0.0019014855,0.0019658334,0.001931962,0.0034116001],"category_scores_gemma":[0.007720944,0.00064903847,0.0011163774,0.00060719595,0.0025065623,0.002348898,0.0014935227,0.0017217007,0.000547388],"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":[0.00018795495,0.000098429846,0.0034312252,0.00014046105,0.0000751585,0.00063924515,0.0004865687,0.14445159,0.013466808,0.83190197,0.0021331515,0.0029874272],"study_design_scores_gemma":[0.00008441749,0.000051220162,0.0011606066,0.00002039028,0.000027319138,0.00014197474,0.00012039638,0.8495207,0.0013395592,0.14664131,0.00083233695,0.000059823982],"about_ca_topic_score_codex":0.0036012582,"about_ca_topic_score_gemma":0.0015228123,"teacher_disagreement_score":0.0036012582,"about_ca_system_score_codex":0.0016612113,"about_ca_system_score_gemma":0.00082742644,"threshold_uncertainty_score":0.012053013},"labels":[],"label_agreement":null},{"id":"W1989120816","doi":"10.1214/aoap/1069786501","title":"Malyshev's theory and JS-queues. Asymptotics of stationary probabilities","year":2003,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Queue; Cover (algebra); Random walk; Mathematics; Plane (geometry); Join (topology); Statistical physics; Quarter (Canadian coin); Discrete mathematics; Combinatorics; Statistics; Computer science; Physics; Geometry; Geography; Engineering","score_opus":0.04030953914298908,"score_gpt":0.2684115126752967,"score_spread":0.22810197353230766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989120816","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":[0.045437854,0.026801784,0.8148063,0.0076210424,0.0010926394,0.000058629263,0.0004643974,0.0004686136,0.10324874],"genre_scores_gemma":[0.8834859,0.020670578,0.051506713,0.0014613519,0.0034432758,0.00019968873,0.00042882876,0.00019736886,0.038606264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991147,0.00024687275,0.000044102908,0.000121855555,0.00034896642,0.00012356516],"domain_scores_gemma":[0.9963123,0.0022590181,0.00030667274,0.00026492795,0.000653151,0.00020393712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002486829,0.00087643,0.0009761094,0.002038201,0.00082462473,0.0021075746,0.0015666382,0.0015514318,0.005073587],"category_scores_gemma":[0.011636936,0.00042070972,0.00091654906,0.0018625143,0.0027289921,0.0044526807,0.0015503353,0.0031473837,0.0012981516],"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":[0.000008382739,0.000006186812,0.000134973,0.000027288304,0.0000051822562,0.000021357459,0.000043309632,0.0058610565,0.00013555195,0.98725593,0.0014798946,0.005020907],"study_design_scores_gemma":[0.0000055837154,0.0000073292895,0.0002282207,0.000016623952,0.000005052074,0.00004564562,0.000016465741,0.04043539,0.00011179921,0.95579994,0.0033203496,0.0000075771704],"about_ca_topic_score_codex":0.0032932907,"about_ca_topic_score_gemma":0.0012622842,"teacher_disagreement_score":0.005073587,"about_ca_system_score_codex":0.0029851713,"about_ca_system_score_gemma":0.0011478318,"threshold_uncertainty_score":0.021658957},"labels":[],"label_agreement":null},{"id":"W1993972343","doi":"10.1214/105051604000000756","title":"Generalized stochastic differential utility and preference for information","year":2004,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":4,"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":"Mitacs","keywords":"Preference; Differential (mechanical device); Mathematical economics; Mathematics; Computer science; Econometrics; Statistics; Physics","score_opus":0.34637374225379663,"score_gpt":0.40514627505927175,"score_spread":0.05877253280547512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993972343","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":[0.4025091,0.0015681444,0.5459022,0.0047181263,0.0001421252,0.000060302427,0.00019636925,0.00007647984,0.044827174],"genre_scores_gemma":[0.97383815,0.00050492253,0.022044407,0.00023009133,0.00010327927,0.000033822154,0.000060566355,0.000011252917,0.0031734335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983498,0.0007452074,0.00007823009,0.00018395866,0.0004773022,0.00016549136],"domain_scores_gemma":[0.9970078,0.0017225958,0.00037447395,0.0003716436,0.00031184923,0.0002115899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024311638,0.00046793226,0.0004889794,0.00069891877,0.00038319407,0.001504374,0.00057354907,0.0009809925,0.0023474367],"category_scores_gemma":[0.0065091704,0.00019636755,0.0006503772,0.0008101113,0.0021397735,0.0028967327,0.0010761542,0.0012357739,0.00017986106],"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":[0.000021175212,0.000011909275,0.0004218906,0.00002813834,0.000017934257,0.000083959116,0.00016180842,0.006583868,0.0006238428,0.9853596,0.00021486134,0.006471001],"study_design_scores_gemma":[0.000009772089,0.00002682085,0.00056770205,0.000011098262,0.000007762968,0.00007784902,0.00005875809,0.018147273,0.00018094745,0.97929376,0.0016050369,0.000013137198],"about_ca_topic_score_codex":0.00065868994,"about_ca_topic_score_gemma":0.00055582233,"teacher_disagreement_score":0.0024311638,"about_ca_system_score_codex":0.0011055662,"about_ca_system_score_gemma":0.00044835598,"threshold_uncertainty_score":0.0128573775},"labels":[],"label_agreement":null},{"id":"W1995451610","doi":"10.1214/105051605000000539","title":"Rates for branching particle approximations of continuous-discrete filters","year":2005,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Probability and Risk Models","field":"Decision Sciences","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":"Concordia University; Lockheed Martin (Canada); University of Alberta","funders":"Mitacs","keywords":"Particle system; Mathematics; Particle filter; Branching process; Discrete time and continuous time; Branching (polymer chemistry); Computation; Markov chain; Sobolev space; Norm (philosophy); Discrete mathematics; Algorithm; Combinatorics; Applied mathematics; Mathematical analysis; Computer science; Kalman filter; Statistics","score_opus":0.24647642533073771,"score_gpt":0.43588006365769655,"score_spread":0.18940363832695883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995451610","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":[0.0125565,0.0002848252,0.98453254,0.0002486691,0.000048535974,0.00006508479,0.000022612001,0.00014679087,0.00209444],"genre_scores_gemma":[0.44538385,0.0009540578,0.54190886,0.0004055171,0.0001596839,0.00077068707,0.00031933645,0.00047656827,0.009621342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977749,0.0008602656,0.00010201493,0.00024699024,0.00081401016,0.00020168698],"domain_scores_gemma":[0.9749008,0.019792575,0.0011341722,0.0010793373,0.00227171,0.00082138367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012620248,0.0015394533,0.0013712177,0.0019541755,0.001266813,0.0021189605,0.0023952902,0.002479356,0.004090763],"category_scores_gemma":[0.045543134,0.00089253904,0.0016672997,0.0010206768,0.003420535,0.0034955847,0.0036120487,0.0035276148,0.00095595635],"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":[0.00022816412,0.00008130746,0.0027638632,0.00020120932,0.000072919895,0.0001566195,0.0004080662,0.6236564,0.003083581,0.33838922,0.0012822059,0.029676422],"study_design_scores_gemma":[0.000014025176,0.000018513814,0.00010210633,0.000021170314,0.000007720666,0.000024700617,0.000013574001,0.9726448,0.0005186122,0.026258245,0.0003672354,0.000009368522],"about_ca_topic_score_codex":0.005092058,"about_ca_topic_score_gemma":0.0031346984,"teacher_disagreement_score":0.012620248,"about_ca_system_score_codex":0.0032831233,"about_ca_system_score_gemma":0.0023708032,"threshold_uncertainty_score":0.066743076},"labels":[],"label_agreement":null},{"id":"W2020956776","doi":"10.1214/10-aap722","title":"Gaussianization and eigenvalue statistics for random quantum channels (III)","year":2011,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":41,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Random matrix; Von Neumann entropy; Eigenvalues and eigenvectors; Mathematics; Counterexample; Conjecture; Von Neumann architecture; Quantum; Mathematical physics; Combinatorics; Statistical physics; Discrete mathematics; Pure mathematics; Quantum mechanics; Quantum entanglement; Physics","score_opus":0.1977754408094481,"score_gpt":0.3492847415850594,"score_spread":0.1515093007756113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020956776","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":[0.26521888,0.000908688,0.71095777,0.0019034389,0.00012541137,0.00005402329,0.00018393468,0.0003504608,0.020297375],"genre_scores_gemma":[0.9759016,0.00041237136,0.018615702,0.0002670862,0.00023516185,0.00005823262,0.00006904435,0.000094064155,0.0043467935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99881434,0.00034624705,0.000037257734,0.00022151737,0.00032790418,0.0002527799],"domain_scores_gemma":[0.9959002,0.0023204347,0.00050191814,0.00046761817,0.00051972095,0.00028997313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019401199,0.00046716948,0.0006169163,0.001141021,0.00058217655,0.0015040117,0.0009254475,0.0007624312,0.0029531617],"category_scores_gemma":[0.006828197,0.000325171,0.0006400229,0.00060782384,0.0035349892,0.002985699,0.0014294079,0.0014289103,0.0004461954],"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":[0.000016515607,0.00001435762,0.00025462962,0.000018506591,0.00000677988,0.00004699281,0.0000788936,0.011445721,0.0013102537,0.9845483,0.00040403326,0.0018552184],"study_design_scores_gemma":[0.00000748241,0.000024746256,0.0005096469,0.000010022028,0.000005980125,0.00011040261,0.000043217504,0.19962469,0.0010975321,0.7977365,0.00080109923,0.000028705064],"about_ca_topic_score_codex":0.001023779,"about_ca_topic_score_gemma":0.0005527415,"teacher_disagreement_score":0.0029531617,"about_ca_system_score_codex":0.0010660493,"about_ca_system_score_gemma":0.0006921263,"threshold_uncertainty_score":0.010260463},"labels":[],"label_agreement":null},{"id":"W2028208450","doi":"10.1214/08-aap549","title":"Rate of relaxation for a mean-field zero-range process","year":2009,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; University of Cambridge","keywords":"Process (computing); Markov chain; Limit (mathematics); Markov process; Relaxation (psychology)","score_opus":0.17296257398631126,"score_gpt":0.40704535103484235,"score_spread":0.2340827770485311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028208450","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":[0.6780754,0.0010842326,0.30192673,0.0017000638,0.00010134964,0.0000976393,0.00019095726,0.000566273,0.01625744],"genre_scores_gemma":[0.9825801,0.0003857945,0.012742642,0.00012642422,0.000059712427,0.00008378355,0.00011191021,0.00011864118,0.003790901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99954695,0.00016370216,0.0000142324525,0.00008600614,0.00008629839,0.000102846876],"domain_scores_gemma":[0.9936373,0.0042129597,0.0006795074,0.00043280626,0.00041058482,0.0006268456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023786044,0.00035971435,0.00075090444,0.0010701815,0.0009443806,0.0012039251,0.0014723312,0.0009779936,0.0052609425],"category_scores_gemma":[0.010891586,0.0004385731,0.00059793744,0.00033549467,0.0024033582,0.0028331762,0.001673052,0.0019775557,0.00045886546],"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":[0.0002757224,0.00013736285,0.002530543,0.00019809396,0.000042978034,0.00048553137,0.00095406466,0.12718394,0.020353958,0.8365005,0.001972879,0.009364313],"study_design_scores_gemma":[0.00005363472,0.00007446457,0.001217956,0.000038058475,0.000023414432,0.00023920876,0.0001378311,0.82849413,0.0042277277,0.1643813,0.0010389056,0.00007334158],"about_ca_topic_score_codex":0.0020413732,"about_ca_topic_score_gemma":0.000792254,"teacher_disagreement_score":0.0052609425,"about_ca_system_score_codex":0.001099086,"about_ca_system_score_gemma":0.000520887,"threshold_uncertainty_score":0.017599583},"labels":[],"label_agreement":null},{"id":"W2030808455","doi":"10.1214/09-aap638","title":"The random conductance model with Cauchy tails","year":2010,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Random walk; Limit (mathematics); Conductance; Central limit theorem; Convergence (economics); Convergence of random variables; Cauchy distribution; Large deviations theory","score_opus":0.1189402416423508,"score_gpt":0.34730156996455785,"score_spread":0.22836132832220707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030808455","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":[0.5324485,0.002840185,0.39885497,0.010355319,0.0006592154,0.00014924255,0.0008442879,0.0006778288,0.05317049],"genre_scores_gemma":[0.9667283,0.00091018894,0.012024382,0.0006841189,0.00020745205,0.00012128332,0.00019982665,0.00011399426,0.01901049],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992354,0.00021473065,0.00002490552,0.00018279706,0.00015035414,0.00019183988],"domain_scores_gemma":[0.9985232,0.00051073084,0.00019964279,0.00018218519,0.0002226966,0.0003616388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012370769,0.0010550597,0.0018391021,0.001297864,0.0008138279,0.0022194963,0.0033443593,0.003022682,0.003461431],"category_scores_gemma":[0.0037145303,0.0006049901,0.001273867,0.00094899145,0.0032201891,0.003366632,0.0025753484,0.002292628,0.00075570116],"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":[0.00010387248,0.000080773476,0.0004980286,0.000083994164,0.000039467264,0.0007505781,0.00014133785,0.16167241,0.003168725,0.83021164,0.001584902,0.0016642787],"study_design_scores_gemma":[0.00005259154,0.00004492266,0.00017253133,0.000018832325,0.000023469684,0.00014592192,0.000036336176,0.82964176,0.00043944456,0.16868459,0.0006951981,0.00004448593],"about_ca_topic_score_codex":0.0042473148,"about_ca_topic_score_gemma":0.002643029,"teacher_disagreement_score":0.0042473148,"about_ca_system_score_codex":0.001935847,"about_ca_system_score_gemma":0.0011776788,"threshold_uncertainty_score":0.0140455365},"labels":[],"label_agreement":null},{"id":"W2041007466","doi":"10.1214/aoap/1060202832","title":"The valuation of American call options on the minimum of two dividend-paying assets","year":2003,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":42,"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; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Valuation (finance); Mathematics; Call option; Put option; Asian option; Dividend; Optimal stopping; Valuation of options; Diagonal; Mathematical economics; Actuarial science; Mathematical optimization; Finance; Econometrics; Economics","score_opus":0.15189991936400815,"score_gpt":0.315448567023171,"score_spread":0.16354864765916283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041007466","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":[0.8910911,0.00056897535,0.09556502,0.00042307525,0.000030582916,0.000020448098,0.00002760355,0.000041340496,0.012231725],"genre_scores_gemma":[0.9941189,0.00010581108,0.004557699,0.000010002578,0.000022139224,0.000008723256,0.00001964429,0.000010493734,0.0011465426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993766,0.00026832634,0.000023703698,0.00006112492,0.00017706052,0.000093195486],"domain_scores_gemma":[0.9977507,0.0013702562,0.00024846362,0.00012437116,0.00017012075,0.00033609368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019972534,0.000644812,0.0009634996,0.0007205225,0.00065326435,0.0036697865,0.00086598017,0.0014965322,0.0020845374],"category_scores_gemma":[0.008302808,0.00040464677,0.00051899435,0.0005835604,0.0022769654,0.004878463,0.0015863405,0.0017374015,0.00014903987],"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":[0.0007249536,0.00015068715,0.004813509,0.00008152532,0.000055817876,0.0008296394,0.0005567649,0.11323232,0.014435061,0.83888125,0.00054925156,0.02568928],"study_design_scores_gemma":[0.00004449381,0.000120719924,0.0027837532,0.000030716146,0.000016337728,0.0002907969,0.00017129314,0.61382324,0.0024869738,0.37934032,0.0008427831,0.000048552956],"about_ca_topic_score_codex":0.000783135,"about_ca_topic_score_gemma":0.00033443034,"teacher_disagreement_score":0.0036697865,"about_ca_system_score_codex":0.0010910269,"about_ca_system_score_gemma":0.00056729757,"threshold_uncertainty_score":0.010562599},"labels":[],"label_agreement":null},{"id":"W2044448272","doi":"10.1214/11-aap761","title":"Invasion percolation on the Poisson-weighted infinite tree","year":2012,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":11,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Poisson distribution; Point process; Percolation (cognitive psychology); Representation (politics); Limit (mathematics); Poisson point process; Tree (set theory); Discrete Poisson equation; Markov process","score_opus":0.22004788912373957,"score_gpt":0.35563601202958534,"score_spread":0.13558812290584576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044448272","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":[0.7436333,0.00060045643,0.23710752,0.0005960016,0.00004976136,0.000024092735,0.000036874208,0.000062408006,0.017889602],"genre_scores_gemma":[0.98137474,0.0003535252,0.014973482,0.00005287801,0.000031300995,0.000017514514,0.000026958116,0.000014755116,0.0031546957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998165,0.00005922309,0.0000062440263,0.00002510154,0.00005367215,0.000039336082],"domain_scores_gemma":[0.99936,0.00028919478,0.00013927289,0.0000440716,0.00006707779,0.00010041642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037726172,0.00025904336,0.00025267556,0.0008216458,0.0004945533,0.0008686155,0.00069266907,0.00038806963,0.00082069036],"category_scores_gemma":[0.0021806778,0.000119906785,0.0003426245,0.00066558685,0.0011354252,0.001305133,0.00074454356,0.000598176,0.00014314872],"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":[0.000021468388,0.000025632131,0.0006992435,0.000022137345,0.000009152711,0.00017631118,0.0003203349,0.02744156,0.0025841373,0.9631234,0.0003943991,0.0051822965],"study_design_scores_gemma":[0.00001337069,0.000023342549,0.00075536047,0.000009420167,0.000011934048,0.00021941945,0.0001427652,0.3881801,0.0013446667,0.6069073,0.0023733012,0.000018991659],"about_ca_topic_score_codex":0.0015610006,"about_ca_topic_score_gemma":0.0011322254,"teacher_disagreement_score":0.0015610006,"about_ca_system_score_codex":0.0005930877,"about_ca_system_score_gemma":0.0002524976,"threshold_uncertainty_score":0.0043030977},"labels":[],"label_agreement":null},{"id":"W2050521835","doi":"10.1214/105051604000000675","title":"Bridges and networks: Exact asymptotics","year":2005,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":34,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Indian Institute of Science; École Normale Supérieure; National Science Foundation","keywords":"Node (physics); Boundary (topology); Mathematics; Markov process; Queueing theory; Exponential function; Large deviations theory; Polynomial; Exponential distribution; Limit (mathematics); Path (computing); Steady state (chemistry); State (computer science); Computer science; Mathematical analysis; Algorithm; Computer network; Physics; Statistics","score_opus":0.03996450727632896,"score_gpt":0.2684077794762901,"score_spread":0.2284432721999611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050521835","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":[0.076417685,0.0029916218,0.87671024,0.0016531802,0.00020080863,0.00005298022,0.00012339152,0.00048648525,0.041363526],"genre_scores_gemma":[0.91236967,0.0034820358,0.060074043,0.00085808756,0.00045579558,0.00019898413,0.00026828412,0.00022899175,0.022064079],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99927527,0.00021355959,0.000020815114,0.00011923405,0.00027154826,0.00009945983],"domain_scores_gemma":[0.99609995,0.0024209819,0.00041654243,0.00035833643,0.00048346503,0.00022078036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023630091,0.0006431224,0.00064055255,0.0021860225,0.00060486357,0.0016610989,0.0012896316,0.0012592593,0.0060887947],"category_scores_gemma":[0.01716623,0.0004626338,0.00084666617,0.0011889623,0.0019846824,0.005040493,0.0020167793,0.0028896497,0.0009173427],"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":[0.000015502479,0.000023750223,0.0006613347,0.00006729695,0.000018237874,0.00010934254,0.00017746336,0.03793976,0.00070638367,0.9477712,0.0016376468,0.010872131],"study_design_scores_gemma":[0.0000068768395,0.000019439696,0.00033467438,0.000023145481,0.000009168486,0.000087235574,0.00004707043,0.26848498,0.00026170284,0.72845954,0.0022548325,0.00001124281],"about_ca_topic_score_codex":0.0020174973,"about_ca_topic_score_gemma":0.0014624533,"teacher_disagreement_score":0.0060887947,"about_ca_system_score_codex":0.0015725035,"about_ca_system_score_gemma":0.0006382734,"threshold_uncertainty_score":0.020369053},"labels":[],"label_agreement":null},{"id":"W2053182223","doi":"10.1214/08-aap564","title":"Attraction time for strongly reinforced walks","year":2009,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":10,"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":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Multiplicative function; Bounded function; Random walk; Graph; Attraction; Uniform boundedness; Finite set; Class (philosophy)","score_opus":0.13499544063152327,"score_gpt":0.3687657028539866,"score_spread":0.2337702622224633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053182223","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":[0.82722,0.0003498201,0.16019282,0.00058367936,0.00004322419,0.000045246583,0.00014961726,0.00024824348,0.011167384],"genre_scores_gemma":[0.99242777,0.0001344833,0.0042639268,0.000046592548,0.000025134817,0.000043491284,0.00006675092,0.000027132055,0.0029646095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99962056,0.00011000649,0.000014486768,0.000089154644,0.00006956839,0.00009615061],"domain_scores_gemma":[0.99633515,0.0019383146,0.00058374525,0.00021482918,0.00034123872,0.0005867015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010172074,0.00039288396,0.00047412748,0.0008321247,0.0006430439,0.0010258738,0.00086147053,0.0009722105,0.0033122243],"category_scores_gemma":[0.007972601,0.0002360273,0.00057913904,0.00030599878,0.0013874348,0.001352443,0.0008729023,0.0010978449,0.00035332574],"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":[0.00025180806,0.000084153835,0.0043567996,0.00012202426,0.00007406159,0.000616109,0.00044959088,0.17375906,0.015772399,0.793231,0.0016835793,0.009599422],"study_design_scores_gemma":[0.00003746623,0.000075239695,0.0015582589,0.000023612673,0.000021317994,0.0001540574,0.00006762186,0.7326054,0.0015012213,0.26286206,0.0010658373,0.00002789277],"about_ca_topic_score_codex":0.0018886431,"about_ca_topic_score_gemma":0.0012534842,"teacher_disagreement_score":0.0033122243,"about_ca_system_score_codex":0.001111908,"about_ca_system_score_gemma":0.0005307088,"threshold_uncertainty_score":0.011080503},"labels":[],"label_agreement":null},{"id":"W2053424935","doi":"10.1214/13-aap946","title":"Stochastically-induced bistability in chemical reaction systems","year":2014,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"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":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Bistability; Chemical reaction; Branching (polymer chemistry); Bounded function; Mechanism (biology); Chemical species; Chemical process; Chemical Dynamics","score_opus":0.03846017869960279,"score_gpt":0.27760922336088784,"score_spread":0.23914904466128506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053424935","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":[0.77504337,0.0005145959,0.21569192,0.00081187737,0.00005487782,0.000034057066,0.0000819125,0.00027679314,0.007490651],"genre_scores_gemma":[0.9971776,0.00006755385,0.0022895522,0.000029590747,0.00001995679,0.000014572334,0.00001769197,0.0000114150835,0.0003720924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993741,0.0002622049,0.000028328528,0.00008635443,0.0001443607,0.000104682156],"domain_scores_gemma":[0.9956578,0.0029269392,0.0007531924,0.0001835069,0.00021912584,0.00025949947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008943455,0.00038672937,0.0005269832,0.00055676774,0.00034419203,0.00089963106,0.0005825748,0.0007284037,0.0009763216],"category_scores_gemma":[0.0055680266,0.0002093315,0.0004894242,0.00029865498,0.0016469173,0.0009954021,0.0009223845,0.000814009,0.00007879294],"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":[0.00016125453,0.00009843173,0.0025972847,0.00011765556,0.00009612121,0.00047921043,0.00019272357,0.5648451,0.053095587,0.37269983,0.00040650845,0.0052103177],"study_design_scores_gemma":[0.000017328059,0.000028583065,0.00041569144,0.0000028829463,0.0000058726523,0.00004036082,0.00000967061,0.95306623,0.0018771753,0.04441735,0.000107124826,0.00001180145],"about_ca_topic_score_codex":0.0011109356,"about_ca_topic_score_gemma":0.0005032039,"teacher_disagreement_score":0.0011109356,"about_ca_system_score_codex":0.00084526965,"about_ca_system_score_gemma":0.00047361996,"threshold_uncertainty_score":0.0061329007},"labels":[],"label_agreement":null},{"id":"W2059819780","doi":"10.1214/11-aap760","title":"Analysis of error propagation in particle filters with approximation","year":2011,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Particle filter; Approximation error; Exponential function; Parametric statistics; Particle (ecology); Approximation theory; Error analysis; Approximation algorithm; Applied mathematics; Computer science; Node (physics); Particle system; Mathematics; Filter (signal processing); Algorithm; Mathematical optimization; Mathematical analysis; Physics; Statistics; Quantum mechanics","score_opus":0.08832290302781962,"score_gpt":0.24836812057365007,"score_spread":0.16004521754583045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059819780","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":[0.011004686,0.00028002262,0.9866067,0.00033191522,0.000045174616,0.000028594577,0.000029096913,0.00010968354,0.0015640619],"genre_scores_gemma":[0.81337005,0.0010635968,0.17518811,0.00031686536,0.00018954136,0.00032997873,0.00025023564,0.00027150442,0.009020089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973133,0.000787855,0.00015217916,0.0003529445,0.0011074437,0.00028622933],"domain_scores_gemma":[0.96934175,0.025197688,0.001591592,0.0008713041,0.0026937714,0.0003038015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008665625,0.0013962289,0.0013590195,0.0012880701,0.0008479285,0.0020190072,0.0016276505,0.0023731613,0.0021508764],"category_scores_gemma":[0.04554082,0.00082876754,0.001036372,0.0009912612,0.0025246355,0.003113605,0.0024089313,0.0021124089,0.0003238373],"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":[0.000068165515,0.000014325639,0.000613351,0.0000650033,0.000029732286,0.000059078357,0.00006251116,0.96180797,0.00072077615,0.030045971,0.0002812545,0.006231953],"study_design_scores_gemma":[0.0000042754577,0.00001190294,0.00008472607,0.0000065840745,0.0000046880514,0.000009274068,0.0000045762786,0.9960349,0.00034415966,0.003349957,0.0001399928,0.000004892379],"about_ca_topic_score_codex":0.012587296,"about_ca_topic_score_gemma":0.0035307743,"teacher_disagreement_score":0.012587296,"about_ca_system_score_codex":0.0026253422,"about_ca_system_score_gemma":0.0021892325,"threshold_uncertainty_score":0.04582876},"labels":[],"label_agreement":null},{"id":"W2066357294","doi":"10.1214/07-aap486","title":"Variance bounding Markov chains","year":2008,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":34,"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":"Bounding overwatch; Variance (accounting); Markov chain; Property (philosophy); Markov property; Limit (mathematics)","score_opus":0.24450909635132478,"score_gpt":0.3829196259814799,"score_spread":0.1384105296301551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066357294","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":[0.01770634,0.00064683217,0.9684379,0.0006632926,0.00013184085,0.000050282437,0.00015846785,0.00025598143,0.011949068],"genre_scores_gemma":[0.8083825,0.0017834202,0.16974986,0.0011485065,0.00068951043,0.00051227066,0.000552379,0.00048762804,0.01669389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99715924,0.00090972165,0.00011445139,0.0006672644,0.0007909974,0.00035834222],"domain_scores_gemma":[0.9883385,0.007619728,0.0010578784,0.0015206987,0.0010878956,0.00037518173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029724527,0.00084856816,0.001075029,0.0012519611,0.0010447671,0.0018979838,0.0015840967,0.0015676991,0.0062982645],"category_scores_gemma":[0.018084178,0.00053591613,0.0010447695,0.0009688797,0.0032207433,0.0036352559,0.002406306,0.003129824,0.0009721613],"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":[0.00001826217,0.000018107616,0.0005452943,0.000050953808,0.00002832817,0.00009065515,0.00010619443,0.03338938,0.0017213583,0.9568312,0.0010302769,0.006169902],"study_design_scores_gemma":[0.000012624179,0.00002699154,0.00023457623,0.00003453403,0.000014204132,0.00007291581,0.000019574743,0.2925362,0.0014159331,0.70172775,0.0038785615,0.000026119666],"about_ca_topic_score_codex":0.0014070234,"about_ca_topic_score_gemma":0.0011331668,"teacher_disagreement_score":0.0062982645,"about_ca_system_score_codex":0.0013422825,"about_ca_system_score_gemma":0.001340856,"threshold_uncertainty_score":0.021069825},"labels":[],"label_agreement":null},{"id":"W2068769043","doi":"10.1214/aoap/1019487511","title":"Strong approximations for multiclass feedforward queueing networks","year":2000,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":25,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Queueing theory; Queue; Layered queueing network; FIFO (computing and electronics); Heavy traffic approximation; Approximation algorithm; Mathematics; Computer science; Mathematical optimization; Discrete mathematics; Computer network","score_opus":0.05819194216930973,"score_gpt":0.2881690900799763,"score_spread":0.2299771479106666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068769043","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":[0.013086348,0.00034030818,0.98370785,0.00013372466,0.000032056625,0.000013608977,0.000030448333,0.00012848932,0.0025270882],"genre_scores_gemma":[0.8453159,0.0014232635,0.1453178,0.00023460959,0.00013893863,0.00012372187,0.00016158918,0.00011261566,0.007171598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99825376,0.0004745943,0.00008099051,0.00022087825,0.0007353721,0.0002343013],"domain_scores_gemma":[0.99369335,0.004396187,0.0005027726,0.00045315732,0.0007764931,0.00017808811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034435142,0.00097272097,0.00097266433,0.001275554,0.0006961749,0.0014907399,0.0017875369,0.0012091047,0.0016699313],"category_scores_gemma":[0.016059138,0.00044723187,0.0011442722,0.00096988777,0.0016041755,0.0031313465,0.0016910472,0.0025477551,0.00039484314],"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":[0.000058846574,0.00003427378,0.00072532584,0.000077356126,0.000032955173,0.00010409285,0.00013684314,0.7395552,0.0013899957,0.23721896,0.00063983595,0.020026244],"study_design_scores_gemma":[0.00000194741,0.000008657809,0.00006413119,0.000007023501,0.000004264135,0.0000136639965,0.000008761954,0.9506946,0.00021997774,0.048682474,0.00028998786,0.000004423086],"about_ca_topic_score_codex":0.0044932384,"about_ca_topic_score_gemma":0.003199372,"teacher_disagreement_score":0.0044932384,"about_ca_system_score_codex":0.0026029428,"about_ca_system_score_gemma":0.0011399215,"threshold_uncertainty_score":0.018885791},"labels":[],"label_agreement":null},{"id":"W2073706844","doi":"10.1214/07-aap484","title":"Card shuffling and Diophantine approximation","year":2008,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Advanced Combinatorial Mathematics","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 British Columbia; National Science Foundation","keywords":"Shuffling; Reciprocal; Integer (computer science); Irrational number; Spectral gap; Function (biology); Diophantine approximation","score_opus":0.19631133642665435,"score_gpt":0.3494862352882265,"score_spread":0.15317489886157212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073706844","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":[0.64388543,0.001796004,0.2975574,0.0015734452,0.000237944,0.00004869989,0.0003128207,0.00056370295,0.054024532],"genre_scores_gemma":[0.9710882,0.00029524503,0.023537895,0.00013213587,0.00004849759,0.000034861583,0.00015133509,0.00007056755,0.0046413257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908125,0.0002907976,0.000036707304,0.00014991076,0.00024198835,0.00019939314],"domain_scores_gemma":[0.9969001,0.0019387517,0.00027104546,0.00056184205,0.00016871086,0.00015954924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013785221,0.00045527227,0.0009702773,0.00082034356,0.0008078226,0.001396842,0.0013377252,0.0008502708,0.0036616726],"category_scores_gemma":[0.008640411,0.00033670038,0.00047851843,0.000870827,0.0018856361,0.0023036276,0.0014963007,0.0017987561,0.00065140636],"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":[0.00017231185,0.000102168626,0.0011102675,0.00008230999,0.00002426817,0.0000732871,0.00013116047,0.11056926,0.0015826623,0.86682534,0.0021595443,0.017167421],"study_design_scores_gemma":[0.000018431914,0.000030345502,0.0002417379,0.000015101099,0.000006215597,0.000045945795,0.000034565473,0.3616258,0.0009091157,0.6360027,0.001056314,0.00001372615],"about_ca_topic_score_codex":0.001384206,"about_ca_topic_score_gemma":0.0012927129,"teacher_disagreement_score":0.0036616726,"about_ca_system_score_codex":0.001658838,"about_ca_system_score_gemma":0.00091083633,"threshold_uncertainty_score":0.01224947},"labels":[],"label_agreement":null},{"id":"W2078014848","doi":"10.1214/11-aap806","title":"Adaptive Gibbs samplers and related MCMC methods","year":2013,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":45,"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":"Natural Sciences and Engineering Research Council of Canada; Engineering and Physical Sciences Research Council; University of Toronto","keywords":"Gibbs sampling; Convergence (economics); Markov chain Monte Carlo; Selection (genetic algorithm); Set (abstract data type); Markov chain","score_opus":0.2503156941519951,"score_gpt":0.42029359838798686,"score_spread":0.16997790423599174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078014848","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":[0.0012486163,0.000901325,0.9940585,0.0004173595,0.00009077317,0.000047034777,0.00006369865,0.0001664109,0.003006307],"genre_scores_gemma":[0.1288522,0.0035848035,0.8566266,0.0008654153,0.0007551685,0.00059326,0.0003677238,0.00046045615,0.007894409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958034,0.0024605233,0.00015419214,0.0005701373,0.00083081913,0.00018088607],"domain_scores_gemma":[0.98581403,0.011570622,0.0004852966,0.0010336112,0.00083864364,0.0002577779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070243436,0.0010948647,0.001234565,0.0018959858,0.0012967582,0.002167565,0.0035116218,0.002773349,0.007068131],"category_scores_gemma":[0.033361513,0.0009529782,0.0012351178,0.0026815303,0.0038148218,0.002999916,0.0025173668,0.0047874525,0.0014402342],"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":[0.000031839332,0.000023854067,0.0005200743,0.00012465057,0.000057488433,0.000056907826,0.0001306212,0.11797359,0.00027037997,0.8458793,0.0024130796,0.032518137],"study_design_scores_gemma":[0.000027257385,0.000011441732,0.00014113495,0.00005291077,0.000018685727,0.000048151876,0.000017094235,0.4040077,0.0002870366,0.5860567,0.009306929,0.000024935734],"about_ca_topic_score_codex":0.0065184897,"about_ca_topic_score_gemma":0.005629699,"teacher_disagreement_score":0.007068131,"about_ca_system_score_codex":0.0018478172,"about_ca_system_score_gemma":0.0022835908,"threshold_uncertainty_score":0.037148774},"labels":[],"label_agreement":null},{"id":"W2083848320","doi":"10.1214/105051604000000701","title":"The stepping stone model. II: Genealogies and the infinite sites model","year":2005,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"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":"National Institute of General Medical Sciences; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Coalescent theory; Stepping stone; Population; Coalescence (physics); Torus; Sequence (biology); Haplotype; Mutation; Evolutionary biology; Genetic model; Biology; Mathematics; Genetics; Geometry; Allele; Phylogenetics; Demography; Gene; Sociology","score_opus":0.04867174558447363,"score_gpt":0.2946109476675512,"score_spread":0.24593920208307757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083848320","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":[0.30327427,0.005033141,0.6535137,0.0043156547,0.00027899139,0.0000679211,0.0005046969,0.00027356597,0.03273805],"genre_scores_gemma":[0.9644653,0.0019940347,0.022144383,0.00032833806,0.0002725287,0.00009392795,0.00020000387,0.000070747614,0.010430693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99934274,0.00024388383,0.000024010627,0.00011576325,0.0001700847,0.00010340409],"domain_scores_gemma":[0.99696714,0.0018730802,0.00040755986,0.00032066528,0.00016211071,0.00026953916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016674751,0.0003013613,0.0007203233,0.0007761894,0.0005589371,0.0017007127,0.0022778346,0.0016094076,0.003242864],"category_scores_gemma":[0.0079858,0.00032608086,0.0007322311,0.0010611532,0.0027202647,0.0035465825,0.0012250545,0.001552793,0.0006384258],"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":[0.000022825616,0.000016829286,0.0013132944,0.00005495507,0.000021534142,0.00018985728,0.00020187952,0.06669232,0.0004669128,0.924309,0.0011992491,0.0055112634],"study_design_scores_gemma":[0.000013245677,0.000014816725,0.0004148067,0.0000147822875,0.000010110539,0.00014263333,0.0000590911,0.16032325,0.000099217985,0.83636916,0.0025243203,0.000014405387],"about_ca_topic_score_codex":0.002627758,"about_ca_topic_score_gemma":0.001305317,"teacher_disagreement_score":0.003242864,"about_ca_system_score_codex":0.0011606098,"about_ca_system_score_gemma":0.00080291944,"threshold_uncertainty_score":0.010848403},"labels":[],"label_agreement":null},{"id":"W2090251478","doi":"10.1214/aoap/1019487508","title":"Analysis of a nonreversible Markov chain sampler","year":2000,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":283,"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; National Science Foundation","keywords":"Markov chain; Mathematics; Markov chain mixing time; Balance equation; Variable-order Markov model; Sampling (signal processing); Markov model; Simple (philosophy); Probabilistic logic; Markov renewal process; Convergence (economics); Markov property; Markov chain Monte Carlo; Continuous-time Markov chain; Applied mathematics; Chain (unit); Examples of Markov chains; Additive Markov chain; Markov process; Statistics; Computer science; Bayesian probability","score_opus":0.16979081864427756,"score_gpt":0.38092674440062785,"score_spread":0.2111359257563503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090251478","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":[0.07584141,0.00033231848,0.9182591,0.00063556334,0.000052742336,0.00017042377,0.00012173983,0.00034377238,0.0042429282],"genre_scores_gemma":[0.8425357,0.0004922438,0.1441205,0.00036604077,0.00012314947,0.00049405795,0.00044224376,0.00038004038,0.011046035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979582,0.00087386166,0.000080549486,0.00028665486,0.00057806115,0.00022266869],"domain_scores_gemma":[0.9769052,0.017797984,0.0014162832,0.0012513677,0.0017091278,0.00091995223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007338976,0.000782844,0.0014102088,0.0013916065,0.00089845754,0.0016148138,0.0027434248,0.0018692075,0.0075976644],"category_scores_gemma":[0.028529426,0.00090049516,0.00093247247,0.00064869184,0.0030361372,0.0026390085,0.0023378069,0.0023074797,0.0007754239],"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":[0.00015531262,0.00011285879,0.0018645576,0.00018305064,0.000073674106,0.00027834697,0.00027414187,0.4475165,0.0040524704,0.5355446,0.0012899798,0.008654555],"study_design_scores_gemma":[0.000014068503,0.000016718444,0.000083295075,0.000009088361,0.0000049371956,0.000019137506,0.000008019318,0.9653899,0.0003488245,0.033889163,0.00020985864,0.000007007239],"about_ca_topic_score_codex":0.0030176812,"about_ca_topic_score_gemma":0.002275418,"teacher_disagreement_score":0.0075976644,"about_ca_system_score_codex":0.0020952837,"about_ca_system_score_gemma":0.00256095,"threshold_uncertainty_score":0.038812637},"labels":[],"label_agreement":null},{"id":"W2090685743","doi":"10.1214/105051606000000844","title":"One-dimensional linear recursions with Markov-dependent coefficients","year":2007,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":36,"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 British Columbia","funders":"","keywords":"Markov chain; Recursion (computer science); Mathematics; Class (philosophy); Stationary distribution; Distribution (mathematics); Combinatorics; Statistical physics; Discrete mathematics; Pure mathematics; Mathematical analysis; Physics; Statistics; Computer science; Algorithm; Artificial intelligence","score_opus":0.1207835323918533,"score_gpt":0.356112668250912,"score_spread":0.23532913585905868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090685743","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":[0.21038425,0.0014916162,0.75357693,0.0016706409,0.00018646971,0.00011022024,0.0003111481,0.0003574393,0.031911302],"genre_scores_gemma":[0.8997878,0.001714372,0.06933759,0.00055837043,0.00025585134,0.00033184356,0.0003729363,0.0001614704,0.027479775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999054,0.00031967222,0.000052363925,0.00014482596,0.00023335205,0.00019582175],"domain_scores_gemma":[0.995419,0.0029564013,0.00051701005,0.00024715593,0.0005226885,0.0003376569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020278543,0.00078475906,0.0010070835,0.0013163898,0.0008810914,0.0018898147,0.0017964015,0.0017490858,0.0042230207],"category_scores_gemma":[0.01223498,0.00060577656,0.0011629598,0.0012428387,0.0021680747,0.0033802055,0.001630343,0.002411707,0.00085283886],"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":[0.000021236632,0.000029789504,0.00043843314,0.000045624536,0.000011659319,0.000112424525,0.00013798983,0.022357436,0.0011041212,0.9721103,0.00050184625,0.003129164],"study_design_scores_gemma":[0.000025858146,0.000016223072,0.0002178466,0.000029120405,0.000013228099,0.000119729,0.00003522246,0.5499481,0.0007221484,0.44788003,0.0009518375,0.000040710267],"about_ca_topic_score_codex":0.003388289,"about_ca_topic_score_gemma":0.004275973,"teacher_disagreement_score":0.0042230207,"about_ca_system_score_codex":0.0019756444,"about_ca_system_score_gemma":0.0015829493,"threshold_uncertainty_score":0.014334321},"labels":[],"label_agreement":null},{"id":"W2091081823","doi":"10.1214/105051605000000421","title":"Analysis of phase transitions in the mean-field Blume–Emery–Griffiths model","year":2005,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":37,"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":"Natural Sciences and Engineering Research Council of Canada; Royal Society; National Science Foundation","keywords":"Phase transition; Thermodynamic limit; Canonical ensemble; Limit (mathematics); Measure (data warehouse); Microcanonical ensemble; Large deviations theory; Phase (matter)","score_opus":0.041541995110892425,"score_gpt":0.3178638217852617,"score_spread":0.2763218266743693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091081823","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":[0.71761936,0.0008558863,0.2610138,0.0011535644,0.000051920568,0.000046418154,0.00013671788,0.0002135716,0.018908683],"genre_scores_gemma":[0.9889714,0.00016571046,0.008302083,0.000060147562,0.000022954273,0.000036267895,0.000047704725,0.000029560091,0.0023640995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997745,0.00007363701,0.0000069040366,0.000023915309,0.000079874924,0.00004115979],"domain_scores_gemma":[0.99948716,0.00025375304,0.00008050619,0.00006425446,0.000061557934,0.000052678704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075460586,0.00024433274,0.0005211115,0.00077614357,0.00064092723,0.00059374294,0.00083685154,0.000642121,0.0028009377],"category_scores_gemma":[0.002085337,0.00018632824,0.0005308388,0.00034329918,0.0015170577,0.0014110041,0.00073157274,0.00063057605,0.00017648023],"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":[0.000055107612,0.00003875464,0.0007817074,0.000050730683,0.000024844208,0.00012287831,0.00013759748,0.21589112,0.0060860766,0.773578,0.0005479938,0.002685248],"study_design_scores_gemma":[0.000012224447,0.000019698791,0.00040887346,0.000005714324,0.0000052679984,0.000036476704,0.000024966283,0.7698436,0.0009528476,0.22825094,0.0004245841,0.000014851627],"about_ca_topic_score_codex":0.002375234,"about_ca_topic_score_gemma":0.0012437452,"teacher_disagreement_score":0.0028009377,"about_ca_system_score_codex":0.0009961767,"about_ca_system_score_gemma":0.00070706394,"threshold_uncertainty_score":0.009370089},"labels":[],"label_agreement":null},{"id":"W2125816608","doi":"10.1214/aoap/1042765668","title":"Distribution of distances in random binary search trees","year":2003,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":43,"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":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Mathematics; Convergence of random variables; Random variable; Combinatorics; Central limit theorem; Rate of convergence; Limit (mathematics); Binary search tree; Stein's method; Law of large numbers; Discrete mathematics; Statistics; Mathematical analysis; Binary tree; Metric space; Intrinsic metric","score_opus":0.12649317964171355,"score_gpt":0.36273278128711056,"score_spread":0.236239601645397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125816608","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":[0.62113774,0.0020041056,0.36786073,0.0013265337,0.000057437952,0.0001171504,0.00032114855,0.00025872677,0.0069164494],"genre_scores_gemma":[0.95626825,0.0008666174,0.038112395,0.00013121516,0.00007923538,0.00019008467,0.0003288641,0.00011273298,0.0039105774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984503,0.0005578012,0.00006000051,0.0002601573,0.0004699151,0.0002018668],"domain_scores_gemma":[0.98286253,0.011536118,0.0023066802,0.00087786897,0.0014486732,0.0009682027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039598453,0.00045537643,0.0009979992,0.0023703396,0.0007436398,0.0019025438,0.0021659527,0.0015093675,0.0021484238],"category_scores_gemma":[0.028034884,0.0004906808,0.00049029785,0.001515836,0.0028663012,0.0043435553,0.0019933973,0.0014929582,0.00048944383],"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":[0.00022253062,0.00006691044,0.004525341,0.00017896433,0.000039981685,0.00026435393,0.00046111134,0.23215914,0.0040645115,0.7429282,0.0015474148,0.013541582],"study_design_scores_gemma":[0.00005339398,0.0001183592,0.0017670175,0.00004693887,0.000016174537,0.00017039743,0.000111724,0.6959334,0.0017505817,0.29828465,0.0016957667,0.000051555548],"about_ca_topic_score_codex":0.0009323517,"about_ca_topic_score_gemma":0.0009557916,"teacher_disagreement_score":0.0039598453,"about_ca_system_score_codex":0.0020397925,"about_ca_system_score_gemma":0.00058198656,"threshold_uncertainty_score":0.020941913},"labels":[],"label_agreement":null},{"id":"W2127466874","doi":"10.1214/07-aap473","title":"Slow convergence in bootstrap percolation","year":2008,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":50,"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":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research; National Science Foundation","keywords":"Mathematics; Percolation (cognitive psychology); Combinatorics; Limit (mathematics); Square (algebra); Contrast (vision); Convergence (economics); Statistical physics; Applied mathematics; Mathematical analysis; Geometry; Physics","score_opus":0.29028192725259927,"score_gpt":0.3792597942661932,"score_spread":0.08897786701359395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127466874","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":[0.41877732,0.00279701,0.5576781,0.0035236606,0.00028557153,0.000133654,0.0003277468,0.0017362683,0.014740672],"genre_scores_gemma":[0.966818,0.00067355705,0.028889213,0.0005069388,0.00018442287,0.00023591126,0.00021462087,0.00032186377,0.002155464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99745876,0.0014912904,0.00008463367,0.00027724073,0.00045439752,0.00023376397],"domain_scores_gemma":[0.96642894,0.025869641,0.0020154796,0.0027254177,0.0017700272,0.0011904947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006397046,0.00094898697,0.0016663872,0.002174101,0.0013038048,0.0019662506,0.0020033838,0.0021104398,0.0027844512],"category_scores_gemma":[0.05440988,0.00078401976,0.0016198463,0.00078564347,0.004186673,0.0049592513,0.0034888724,0.002950055,0.00049434893],"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":[0.00037417727,0.00010412034,0.0068556042,0.00037166927,0.00014742209,0.0005389386,0.00063504727,0.16505204,0.0035642043,0.8066134,0.005113434,0.010629982],"study_design_scores_gemma":[0.000044440636,0.000047987487,0.00074049993,0.000043565695,0.000015891075,0.00014077095,0.000062091895,0.6159014,0.0007346852,0.38122022,0.0010204511,0.000027987302],"about_ca_topic_score_codex":0.0014002209,"about_ca_topic_score_gemma":0.0009799075,"teacher_disagreement_score":0.006397046,"about_ca_system_score_codex":0.0014669012,"about_ca_system_score_gemma":0.0007468246,"threshold_uncertainty_score":0.03383124},"labels":[],"label_agreement":null},{"id":"W2132768574","doi":"10.1214/10-aap687","title":"VRRW on complete-like graphs: Almost sure behavior","year":2010,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","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":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; European Science Foundation","keywords":"Martingale (probability theory); Graph; Random graph; Stochastic block model; Probability measure; Event (particle physics); Convergence of random variables; Random walk","score_opus":0.17904056730372447,"score_gpt":0.37011337136931394,"score_spread":0.19107280406558946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132768574","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":[0.52056426,0.00090051984,0.4646367,0.0017287664,0.000051582247,0.00010103128,0.00038688676,0.0007676213,0.010862762],"genre_scores_gemma":[0.9673256,0.00056976516,0.026363827,0.00038988757,0.00009048284,0.00020106685,0.00035792118,0.00015353372,0.0045478563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988747,0.00042748946,0.000037736314,0.00031680532,0.00019212723,0.0001511716],"domain_scores_gemma":[0.9819062,0.0123718595,0.0020347068,0.0016833777,0.0010070455,0.0009968476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033142588,0.0006776239,0.0013021964,0.0016551685,0.00087105774,0.0013696684,0.0017531366,0.0015302532,0.002951904],"category_scores_gemma":[0.024416449,0.0007394123,0.0010296867,0.000703502,0.003068696,0.0037061048,0.0016215745,0.0019164974,0.00042248913],"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":[0.00016890609,0.00009827037,0.0045732865,0.00021960348,0.00011798012,0.0003439792,0.0006044775,0.08558514,0.008849996,0.88644874,0.002192607,0.010796961],"study_design_scores_gemma":[0.000033680582,0.00011541295,0.002231505,0.00004410407,0.00002811779,0.00034312397,0.00012059928,0.54126257,0.0017464113,0.45322686,0.0007937578,0.00005384427],"about_ca_topic_score_codex":0.0011298109,"about_ca_topic_score_gemma":0.00090824085,"teacher_disagreement_score":0.0033142588,"about_ca_system_score_codex":0.0012389607,"about_ca_system_score_gemma":0.00046457138,"threshold_uncertainty_score":0.0175277},"labels":[],"label_agreement":null},{"id":"W2148055514","doi":"10.1214/07-aap456","title":"Mafia: A theoretical study of players and coalitions in a partial information environment","year":2008,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":47,"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":"Office of Naval Research; Microsoft Research; Natural Sciences and Engineering Research Council of Canada; Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley; U.S. Department of Defense; National Science Foundation","keywords":"Identity (music); Order (exchange); Collective identity; Function (biology); Democracy; Computer security; Computer science; Political science; Law and economics; Internet privacy; Advertising; Social psychology; Public relations; Sociology; Business; Law; Psychology; Politics; Aesthetics; Art","score_opus":0.19284613128862585,"score_gpt":0.3716719498098492,"score_spread":0.17882581852122334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148055514","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":[0.06255936,0.001956615,0.83539665,0.0051079476,0.00022529521,0.0004305602,0.0002749044,0.00013030373,0.09391841],"genre_scores_gemma":[0.811133,0.001951016,0.16173188,0.0009648866,0.000492763,0.0012318194,0.00033042577,0.00011230533,0.022051843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9905702,0.005733994,0.00033587692,0.0013695278,0.0010033095,0.000987159],"domain_scores_gemma":[0.9839091,0.011294124,0.001715345,0.0010605755,0.0006685277,0.0013522395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066980994,0.0016088501,0.0016188349,0.0026842975,0.0049725114,0.007260245,0.004174532,0.00476923,0.010581771],"category_scores_gemma":[0.02002146,0.001189003,0.0026805075,0.002701523,0.009821653,0.012461648,0.0055317325,0.0045577986,0.0012826571],"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":[0.0000127816165,0.000016892727,0.00034013312,0.000033719745,0.00001830756,0.00009850683,0.0004218911,0.006272593,0.00014502757,0.99091035,0.00034935283,0.001380427],"study_design_scores_gemma":[0.000048255537,0.000113599104,0.0003316455,0.000085768974,0.00003555169,0.00028414011,0.0008536748,0.13289896,0.0002640019,0.8468063,0.0182387,0.000039412862],"about_ca_topic_score_codex":0.0052351877,"about_ca_topic_score_gemma":0.002560447,"teacher_disagreement_score":0.010581771,"about_ca_system_score_codex":0.004305651,"about_ca_system_score_gemma":0.0023552566,"threshold_uncertainty_score":0.035423398},"labels":[],"label_agreement":null},{"id":"W2159279836","doi":"10.1214/aoap/1015345342","title":"Join the shortest queue: stability and exact asymptotics","year":2001,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":149,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Server; Queue; Pooling; Fork–join queue; Queueing theory; Mathematics; Join (topology); Computer science; Computer network; Queue management system; Combinatorics","score_opus":0.0690515575263588,"score_gpt":0.2778830845658288,"score_spread":0.20883152703946997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159279836","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":[0.25534388,0.0036739125,0.7120124,0.003084881,0.00029976908,0.00008456032,0.00025623885,0.00077510567,0.024469199],"genre_scores_gemma":[0.9726964,0.0010654602,0.019519128,0.000294188,0.00025545585,0.00011803651,0.00018373106,0.00016844744,0.0056991805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991609,0.0002474187,0.000036269637,0.0001472007,0.00022712714,0.00018106186],"domain_scores_gemma":[0.9927174,0.004392864,0.0008881233,0.0004683548,0.0010616739,0.0004716164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029564546,0.00077868457,0.0011182261,0.0018525242,0.001042983,0.0018432804,0.0016311263,0.0013160105,0.0034307907],"category_scores_gemma":[0.023635311,0.00043236188,0.0012090966,0.0009692112,0.00273404,0.0035230317,0.0021026353,0.0023090919,0.00053153676],"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":[0.00019162925,0.00009777724,0.004634418,0.0002363216,0.000119576616,0.0004867112,0.0006713333,0.24332911,0.006224529,0.72507256,0.0036361567,0.015299946],"study_design_scores_gemma":[0.000017262693,0.00002582132,0.00049344596,0.000023670558,0.000016852819,0.000054051463,0.000079807265,0.8432505,0.00044613003,0.15492363,0.00064684625,0.000021974874],"about_ca_topic_score_codex":0.007028116,"about_ca_topic_score_gemma":0.0027829292,"teacher_disagreement_score":0.007028116,"about_ca_system_score_codex":0.0020178594,"about_ca_system_score_gemma":0.001188455,"threshold_uncertainty_score":0.015635371},"labels":[],"label_agreement":null},{"id":"W2169354347","doi":"10.1214/105051606000000024","title":"Learning nonsingular phylogenies and hidden Markov models","year":2006,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":29,"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":"Division of Emerging Frontiers; Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Hidden Markov model; Invertible matrix; Markov chain; Bounded function; Markov model; Maximum-entropy Markov model; Variable-order Markov model; Markov process","score_opus":0.11793291077157779,"score_gpt":0.3360329304513031,"score_spread":0.2181000196797253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169354347","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":[0.06827687,0.0006281265,0.92814714,0.0013240823,0.000038958617,0.000026202817,0.00014148421,0.00027355878,0.0011435052],"genre_scores_gemma":[0.8375293,0.0010470098,0.15687396,0.0003715278,0.00029869986,0.00009374578,0.00071421993,0.00012753365,0.002944013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972651,0.0012250762,0.00010997883,0.0008183809,0.0003797316,0.00020181495],"domain_scores_gemma":[0.9640808,0.03127316,0.0019316251,0.0014978333,0.0006860989,0.0005305178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004800725,0.0007985591,0.0014172271,0.00094766193,0.0008850178,0.0017298771,0.0015958871,0.0022032985,0.0017834548],"category_scores_gemma":[0.029440505,0.00079667754,0.00074177835,0.00093092973,0.0035119387,0.00616848,0.0024189823,0.0036720084,0.00034317386],"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":[0.00021457452,0.000119452176,0.0030970643,0.00022708804,0.00008732567,0.00031981178,0.0003076471,0.5769339,0.0014164163,0.37769112,0.0013654486,0.038220137],"study_design_scores_gemma":[0.000010533809,0.000017375613,0.00014377708,0.000007346633,0.0000054427883,0.000026161364,0.000016270844,0.6426328,0.00032846985,0.35649878,0.00030465983,0.0000083409905],"about_ca_topic_score_codex":0.0021942474,"about_ca_topic_score_gemma":0.0017076455,"teacher_disagreement_score":0.004800725,"about_ca_system_score_codex":0.0013886198,"about_ca_system_score_gemma":0.0013195197,"threshold_uncertainty_score":0.025388956},"labels":[],"label_agreement":null},{"id":"W2172287576","doi":"10.1214/10-aap753","title":"Weak disorder asymptotics in the stochastic mean-field model of distance","year":2012,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","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":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Science Foundation","keywords":"Central limit theorem; Independent and identically distributed random variables; Limit (mathematics); Random variable; Context (archaeology); Large deviations theory; Exponential function; Path (computing); Asymptotic distribution; Limiting","score_opus":0.12384359898592884,"score_gpt":0.34891088791472197,"score_spread":0.22506728892879313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172287576","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":[0.55452096,0.0033019243,0.40116295,0.0064441566,0.00023075858,0.00011569768,0.0004929041,0.0010167205,0.032713972],"genre_scores_gemma":[0.9755225,0.001001389,0.014008778,0.00046321732,0.00021273477,0.00014160963,0.00021311572,0.00015398813,0.008282716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991007,0.00027295414,0.000032735552,0.0001666614,0.00023528187,0.00019168986],"domain_scores_gemma":[0.9927598,0.0044350885,0.00095852604,0.0004324529,0.0007369916,0.00067718566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024946765,0.0006441262,0.0015739722,0.0026750495,0.0011241232,0.0019884752,0.0023044148,0.0016782234,0.0036790646],"category_scores_gemma":[0.014210189,0.00053734856,0.0011874569,0.0009332982,0.0041470015,0.0043226597,0.0018167165,0.0020762219,0.0004912349],"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":[0.000049356393,0.000042230935,0.0011050808,0.00008019238,0.00002713516,0.00014575837,0.00021869471,0.06470667,0.0014358758,0.9286242,0.001314264,0.002250604],"study_design_scores_gemma":[0.000038046717,0.000027903669,0.0006165832,0.000026756245,0.000012959987,0.00007178276,0.000066646324,0.507242,0.00027573676,0.4906833,0.0009013627,0.0000368599],"about_ca_topic_score_codex":0.009030046,"about_ca_topic_score_gemma":0.0045280964,"teacher_disagreement_score":0.009030046,"about_ca_system_score_codex":0.0032821686,"about_ca_system_score_gemma":0.0011536551,"threshold_uncertainty_score":0.023813963},"labels":[],"label_agreement":null},{"id":"W2592174375","doi":"","title":"Erratum: The stepping stone model: New formulas expose old myths (The Annals of Applied Probability (2002) 12 (1348-1377))","year":2003,"lang":"en","type":"erratum","venue":"The Annals of Applied Probability","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Annals; Mathematics; Stepping stone; EXPOSE; Mathematical economics; Calculus (dental); Classics; History; Orthodontics; Medicine; Economics","score_opus":0.3931811560522031,"score_gpt":0.4220351424904491,"score_spread":0.028853986438245993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592174375","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030626293,0.0042831823,0.0037714194,0.20636037,0.76888293,0.000030310517,0.0011059528,0.00026540563,0.0149941025],"genre_scores_gemma":[0.01780904,0.015941154,0.014218355,0.28102544,0.36153466,0.00032432145,0.002412252,0.0017715831,0.3049633],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99719256,0.00069085916,0.0005011839,0.0004345032,0.0010478614,0.00013307156],"domain_scores_gemma":[0.976704,0.009945183,0.0010404481,0.001299789,0.010470856,0.00053972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004297033,0.0023231504,0.0018835596,0.0037782479,0.004380768,0.0048233154,0.0031781313,0.008408929,0.034858547],"category_scores_gemma":[0.05736133,0.0009724235,0.0014089858,0.003560754,0.00344953,0.0075901714,0.001819666,0.0125213135,0.023443224],"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":[0.000009147308,0.000004081261,0.000024037581,0.00003096109,0.000002626868,0.000043863507,0.000021705586,0.00004374045,0.00000555024,0.006712894,0.98992306,0.0031783215],"study_design_scores_gemma":[0.00004483351,0.00003109133,0.00062283257,0.00053990673,0.000049556504,0.00052966847,0.00020846825,0.0012116107,0.00014861487,0.052566014,0.9439811,0.00006627549],"about_ca_topic_score_codex":0.018349266,"about_ca_topic_score_gemma":0.019842818,"teacher_disagreement_score":0.034858547,"about_ca_system_score_codex":0.0041366997,"about_ca_system_score_gemma":0.003975724,"threshold_uncertainty_score":0.11661351},"labels":[],"label_agreement":null},{"id":"W2784603855","doi":"10.1214/20-aap1634","title":"Ergodic robust maximization of asymptotic growth","year":2021,"lang":"en","type":"preprint","venue":"The Annals of Applied Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","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":"Quest University Canada","funders":"FP7 People: Marie-Curie Actions; National Science Foundation","keywords":"Econometrics; Maximization; Ergodic theory; Trading strategy; Economics; Market capitalization; Covariance; Utility maximization; Mathematics; Mathematical economics; Mathematical optimization; Stock market; Statistics","score_opus":0.11180571197766032,"score_gpt":0.25822720508087693,"score_spread":0.14642149310321662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784603855","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":[0.09834048,0.00062983355,0.8870375,0.0013290938,0.00006490867,0.000040127827,0.00024327259,0.00035014667,0.011964656],"genre_scores_gemma":[0.96517277,0.00044309956,0.028121375,0.00014329677,0.000079291836,0.000079454505,0.00020395538,0.00016062304,0.005596143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899,0.00041491096,0.000044424785,0.0002337768,0.00017820098,0.00013875685],"domain_scores_gemma":[0.9946666,0.003582987,0.0007762506,0.00028782804,0.0004336527,0.00025272794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030532468,0.0011595195,0.0012529327,0.00074945355,0.00030915195,0.0019119341,0.0011063116,0.0013593677,0.0019551644],"category_scores_gemma":[0.016209371,0.0005214014,0.0007556162,0.00063222816,0.001805565,0.0022688124,0.0017583075,0.0010980394,0.0003667687],"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":[0.00006486052,0.000027256601,0.0005177436,0.000105168634,0.000053144246,0.000118383505,0.00006745746,0.8350184,0.0030627777,0.15237902,0.00082059245,0.007765214],"study_design_scores_gemma":[0.0000056484155,0.000022819824,0.00011142913,0.0000086141035,0.000005932182,0.000015981203,0.000009591552,0.955043,0.0005786607,0.04397546,0.00021275294,0.000010021996],"about_ca_topic_score_codex":0.0028368456,"about_ca_topic_score_gemma":0.0012980457,"teacher_disagreement_score":0.0030532468,"about_ca_system_score_codex":0.0019807175,"about_ca_system_score_gemma":0.0011416228,"threshold_uncertainty_score":0.016147316},"labels":[],"label_agreement":null},{"id":"W2910035100","doi":"10.1214/19-aap1540","title":"Conditional Optimal Stopping: A Time-Inconsistent Optimization","year":2019,"lang":"en","type":"preprint","venue":"The Annals of Applied Probability","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Optimal stopping; Uniqueness; Stochastic game; Bounded function; Stopping time; Conditional probability; Optional stopping theorem; Mathematical economics; Event (particle physics); Time horizon; Discrete time and continuous time; Optimal control; Mathematics; Mathematical optimization; Conditional expectation; Computer science; Physics; Econometrics","score_opus":0.10787172760248659,"score_gpt":0.26448619728729134,"score_spread":0.15661446968480475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910035100","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":[0.032734953,0.0015508796,0.9509776,0.0055242334,0.00033621385,0.000042728654,0.0002953616,0.00016867019,0.008369343],"genre_scores_gemma":[0.7081988,0.0022200078,0.25487775,0.001852533,0.001336826,0.00037355302,0.0009853635,0.00068598596,0.029469287],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99472624,0.0031425722,0.0002270675,0.0009251009,0.0006374493,0.0003415429],"domain_scores_gemma":[0.9736908,0.020802502,0.0018042481,0.0010523713,0.001546017,0.001104166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009693671,0.0012929905,0.003189189,0.0016575388,0.001135018,0.004114882,0.003059051,0.0047693136,0.005444104],"category_scores_gemma":[0.044402692,0.0018089372,0.001980203,0.0018326185,0.0037932934,0.0058232825,0.0031576212,0.0062829615,0.00044481942],"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":[0.00016534436,0.000077848745,0.0008285344,0.00015303276,0.00013862537,0.00016171098,0.00011279183,0.11064842,0.0005048427,0.87538904,0.0047218823,0.0070978045],"study_design_scores_gemma":[0.000040639155,0.000020928845,0.0001889371,0.00003484136,0.000031836404,0.00004133448,0.000015039486,0.48261467,0.0001414012,0.51601386,0.0008350786,0.000021540503],"about_ca_topic_score_codex":0.0031352993,"about_ca_topic_score_gemma":0.0021498809,"teacher_disagreement_score":0.009693671,"about_ca_system_score_codex":0.0024991897,"about_ca_system_score_gemma":0.004157892,"threshold_uncertainty_score":0.051265597},"labels":[],"label_agreement":null},{"id":"W2912059657","doi":"10.1214/22-aap1847","title":"Modified log-Sobolev inequalities for strong-Rayleigh measures","year":2023,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","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":"University of British Columbia","funders":"","keywords":"Mathematics; Markov chain; Lipschitz continuity; Sobolev inequality; Combinatorics; Sobolev space; Invariant (physics); Pure mathematics; Discrete mathematics; Applied mathematics; Mathematical physics; Statistics","score_opus":0.48510575401184464,"score_gpt":0.435439609094404,"score_spread":0.04966614491744065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912059657","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":[0.15147372,0.0028115162,0.81709343,0.002043733,0.0002182251,0.00011564585,0.0005152589,0.00036399876,0.025364451],"genre_scores_gemma":[0.9238369,0.0017587146,0.06308157,0.0006538117,0.00035658525,0.0002878724,0.00033790027,0.0002498073,0.009436903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980228,0.0006873453,0.00010141607,0.00033122525,0.0005242522,0.00033303737],"domain_scores_gemma":[0.9806497,0.013410072,0.0019688993,0.0011315623,0.001457358,0.001382511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004077259,0.001335626,0.0010440318,0.0018815886,0.00079829164,0.0017977818,0.0020856943,0.0013442168,0.005899424],"category_scores_gemma":[0.02628776,0.0007153974,0.001395321,0.0007920325,0.0033456201,0.0049227956,0.0033539778,0.0038450486,0.0006235939],"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":[0.00011366343,0.00004064879,0.0015490063,0.0001883913,0.000046653116,0.0002848063,0.00023330205,0.034976926,0.00644313,0.94546086,0.0009337896,0.009728711],"study_design_scores_gemma":[0.000019175468,0.000062951694,0.0009777847,0.000059910686,0.000028180926,0.00018931754,0.0000507775,0.56095487,0.0030479042,0.43244317,0.0021232164,0.000042799864],"about_ca_topic_score_codex":0.0017430916,"about_ca_topic_score_gemma":0.0016492263,"teacher_disagreement_score":0.005899424,"about_ca_system_score_codex":0.0023173366,"about_ca_system_score_gemma":0.0010731239,"threshold_uncertainty_score":0.021562874},"labels":[],"label_agreement":null},{"id":"W2919958094","doi":"10.1214/20-aap1646","title":"Entropy dissipation estimates for inhomogeneous zero-range processes","year":2021,"lang":"en","type":"preprint","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","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":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Agence Nationale de la Recherche","keywords":"Mathematics; Martingale (probability theory); Sobolev space; Entropy (arrow of time); Statistical physics; Sobolev inequality; Pure mathematics; Dissipation; Applied mathematics; Physics; Quantum mechanics","score_opus":0.19989157020222864,"score_gpt":0.40169603609122334,"score_spread":0.2018044658889947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919958094","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":[0.27007985,0.003669005,0.70345914,0.0016894814,0.00016818085,0.000048265796,0.00015683731,0.00011451679,0.02061481],"genre_scores_gemma":[0.9726008,0.0013315761,0.016902281,0.00022550671,0.00024383087,0.00007443596,0.00013860932,0.00007633127,0.008406708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957186,0.00016119849,0.000019392703,0.000071452996,0.000114670336,0.00006147397],"domain_scores_gemma":[0.9971004,0.0016886768,0.00047165577,0.00023667526,0.000243241,0.00025931615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018064075,0.0006024658,0.0006227707,0.0015691611,0.00041596976,0.0010604812,0.0008620314,0.00047600557,0.0015573516],"category_scores_gemma":[0.0058841608,0.0002791167,0.0006789594,0.00042963048,0.0020164887,0.0021896046,0.0019272922,0.001477732,0.00017385022],"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":[0.000042149182,0.000017226954,0.0016149593,0.0000884383,0.000031630992,0.00010528421,0.00019604847,0.036645483,0.0036697143,0.9520641,0.00081525603,0.0047096186],"study_design_scores_gemma":[0.000008891956,0.000027758531,0.0018682866,0.000025433046,0.0000160731,0.000047770354,0.00003166178,0.39419967,0.0014425006,0.60061973,0.0016900097,0.000022271744],"about_ca_topic_score_codex":0.0009531866,"about_ca_topic_score_gemma":0.000604423,"teacher_disagreement_score":0.0018064075,"about_ca_system_score_codex":0.0010893823,"about_ca_system_score_gemma":0.00040436833,"threshold_uncertainty_score":0.009553313},"labels":[],"label_agreement":null},{"id":"W2980706492","doi":"10.1214/19-aap1465","title":"Controlled reflected SDEs and Neumann problem for backward SPDEs","year":2019,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","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":"University of Calgary","funders":"","keywords":"Mathematics; Uniqueness; Neumann boundary condition; Context (archaeology); Optimal control; Stochastic differential equation; Partial differential equation; Stochastic control; Boundary value problem; Nonlinear system; Bellman equation; Mathematical analysis; Stochastic partial differential equation; Applied mathematics; Mathematical optimization","score_opus":0.08071544759044919,"score_gpt":0.2806207117260574,"score_spread":0.19990526413560822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980706492","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":[0.14925066,0.0006826439,0.83283865,0.0014419743,0.00027604547,0.00011104042,0.00022715064,0.00008778794,0.015084122],"genre_scores_gemma":[0.9199734,0.000654788,0.055154182,0.00031460004,0.00012559227,0.00033089626,0.00024892724,0.00006280838,0.023134848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993924,0.00021478118,0.000029871515,0.00015345168,0.00013075155,0.00007875471],"domain_scores_gemma":[0.998941,0.0004508169,0.00019819492,0.000063527674,0.00020325754,0.00014321426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014472986,0.0011655582,0.0011530718,0.0006681141,0.00045543397,0.0017466648,0.0012680196,0.0019753228,0.0029871757],"category_scores_gemma":[0.0038004247,0.00044971376,0.0012740648,0.00033758607,0.0024227179,0.0016077405,0.0025015539,0.0018887285,0.00018610027],"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":[0.00011741375,0.00008505354,0.0010020301,0.00019057206,0.00009632987,0.00036462498,0.0002063222,0.38917598,0.009716149,0.59213704,0.000835644,0.0060728197],"study_design_scores_gemma":[0.000039112507,0.000054783643,0.00013063963,0.000019235637,0.000015669633,0.00004290342,0.000036479294,0.918187,0.0010703824,0.07954305,0.0008409147,0.000019842946],"about_ca_topic_score_codex":0.0030209739,"about_ca_topic_score_gemma":0.0014890076,"teacher_disagreement_score":0.0030209739,"about_ca_system_score_codex":0.001133311,"about_ca_system_score_gemma":0.0014078082,"threshold_uncertainty_score":0.009993076},"labels":[],"label_agreement":null},{"id":"W2982563266","doi":"10.1214/21-aap1697","title":"Random concave functions","year":2022,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Point processes and geometric inequalities","field":"Mathematics","cited_by":1,"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; Universität Wien; University of Southern California","keywords":"Mathematics; Concave function; Simplex; Hyperplane; Probability measure; Regular polygon; Combinatorics; Applied mathematics; Discrete mathematics","score_opus":0.1995790293381513,"score_gpt":0.35308829498696304,"score_spread":0.15350926564881173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982563266","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":[0.039399087,0.0022622317,0.91376466,0.0024010758,0.00028344287,0.00009254584,0.00062643626,0.00026774683,0.040902726],"genre_scores_gemma":[0.7890155,0.005451178,0.15203133,0.0012365356,0.0009962372,0.0006116548,0.0011062068,0.00050056627,0.04905078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99755293,0.0009349703,0.00010447585,0.0005263621,0.0006103954,0.00027086365],"domain_scores_gemma":[0.9941247,0.0033474152,0.0005359257,0.0006057916,0.0010502156,0.0003360294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030656704,0.0016971035,0.0012222903,0.002558014,0.0010233856,0.0039123646,0.0013026759,0.0017218761,0.008591613],"category_scores_gemma":[0.0119362315,0.00058791856,0.0015405136,0.001580894,0.0043609575,0.005144746,0.0023134956,0.0033840246,0.0017396227],"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":[0.000013259087,0.000009371815,0.00024423772,0.000039357077,0.000013698892,0.00007101246,0.000047358928,0.009520595,0.0004531305,0.98324007,0.0011229044,0.005224929],"study_design_scores_gemma":[0.000011180774,0.000034235687,0.00060194475,0.000046105193,0.000012267927,0.00021514225,0.00007379769,0.13228136,0.0007028996,0.85454136,0.011454218,0.000025482062],"about_ca_topic_score_codex":0.0013031021,"about_ca_topic_score_gemma":0.00062939886,"teacher_disagreement_score":0.008591613,"about_ca_system_score_codex":0.002053807,"about_ca_system_score_gemma":0.00073944294,"threshold_uncertainty_score":0.028741837},"labels":[],"label_agreement":null},{"id":"W3034170006","doi":"10.1214/21-aap1738","title":"Barycentric Brownian bees","year":2022,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","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":"McGill University","funders":"","keywords":"Brownian motion; Mathematics; Invariance principle; Particle system; Barycentric coordinate system; Branching (polymer chemistry); Statistical physics; Pure mathematics; Mathematical analysis; Geometry; Statistics; Physics; Computer science","score_opus":0.17065975641797154,"score_gpt":0.3534384811956111,"score_spread":0.18277872477763957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034170006","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":[0.14917523,0.0013543856,0.7793101,0.0013656688,0.00035406157,0.00010952982,0.00027921685,0.0002925802,0.06775923],"genre_scores_gemma":[0.9013092,0.000747939,0.07570197,0.0004965177,0.00030430322,0.0001701436,0.00028545206,0.0001717296,0.020812826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99942833,0.00014416657,0.000022546605,0.00012908892,0.0001484742,0.00012745449],"domain_scores_gemma":[0.99910295,0.00022154672,0.00019222336,0.00015596309,0.00013995728,0.00018741646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032505,0.0004738236,0.00072771014,0.0009922065,0.0006723346,0.0015231342,0.0013452427,0.00094295014,0.0053573493],"category_scores_gemma":[0.002922045,0.0003569366,0.000938944,0.00039894888,0.001953112,0.001478944,0.002121618,0.0015854789,0.0009012578],"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":[0.000012277167,0.0000072882017,0.00019808336,0.000014373051,0.000008234682,0.000038887076,0.00006200268,0.008136301,0.0017518355,0.98615646,0.0007046881,0.0029095705],"study_design_scores_gemma":[0.00004128996,0.00007653154,0.00095137826,0.00002289518,0.000015697015,0.00015274162,0.000053040065,0.30518436,0.0012710583,0.6824973,0.009698993,0.000034691828],"about_ca_topic_score_codex":0.0026731791,"about_ca_topic_score_gemma":0.0014790067,"teacher_disagreement_score":0.0053573493,"about_ca_system_score_codex":0.0012607877,"about_ca_system_score_gemma":0.00070668163,"threshold_uncertainty_score":0.017922163},"labels":[],"label_agreement":null},{"id":"W3042920671","doi":"10.1214/22-aap1784","title":"Fast and memory-optimal dimension reduction using Kac’s walk","year":2022,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","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":"University of Ottawa","funders":"","keywords":"Mathematics; Conjecture; Dimension (graph theory); Random walk; Reduction (mathematics); Isometry (Riemannian geometry); Combinatorics; Moment (physics); Connection (principal bundle); Restricted isometry property; Discrete mathematics; Algorithm; Pure mathematics; Statistics; Compressed sensing","score_opus":0.06150951898676622,"score_gpt":0.2700039662539124,"score_spread":0.20849444726714617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042920671","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":[0.04382491,0.00039518566,0.9520471,0.00024299408,0.000054418644,0.000056772926,0.00006291182,0.0005123812,0.002803311],"genre_scores_gemma":[0.50552374,0.00041560127,0.48901916,0.0002813188,0.00012122372,0.0001942029,0.00031442082,0.00018086447,0.0039494867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990645,0.00026267397,0.000046164445,0.00019312679,0.0003202254,0.00011324845],"domain_scores_gemma":[0.99848795,0.0008081976,0.00013359624,0.00033157974,0.00014847814,0.00009025016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085147505,0.0006275522,0.0008028077,0.000901427,0.000452722,0.0011082967,0.0009440059,0.0009340362,0.0020120123],"category_scores_gemma":[0.005189723,0.0002992772,0.0005813939,0.00093275995,0.0013633481,0.0021738766,0.0013680306,0.0013879468,0.00087186694],"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":[0.00063342514,0.00025376724,0.0018442761,0.00023733277,0.00008568938,0.0001900655,0.00028307026,0.35835826,0.03342057,0.3597823,0.0078114974,0.23709969],"study_design_scores_gemma":[0.000045786077,0.00010690499,0.00023836116,0.0000132526775,0.000009144439,0.00012165499,0.00003408144,0.92582923,0.006005036,0.06576135,0.0018127967,0.000022428707],"about_ca_topic_score_codex":0.0008832638,"about_ca_topic_score_gemma":0.0011056666,"teacher_disagreement_score":0.0020120123,"about_ca_system_score_codex":0.00062403624,"about_ca_system_score_gemma":0.000803812,"threshold_uncertainty_score":0.0067308545},"labels":[],"label_agreement":null},{"id":"W3045563289","doi":"10.1214/19-aap1526","title":"Thermalisation for small random perturbations of dynamical systems","year":2020,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":17,"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 Alberta","funders":"","keywords":"Mathematics; Ordinary differential equation; Attractor; Exponential growth; Mathematical analysis; Stochastic differential equation; Applied mathematics; Markov chain; Statistical physics; Differential equation; Statistics","score_opus":0.30096749444650295,"score_gpt":0.37388627206502417,"score_spread":0.07291877761852122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045563289","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":[0.24712427,0.0011590631,0.7321761,0.0013709605,0.00023466573,0.00014156291,0.00008222174,0.00026719712,0.017443916],"genre_scores_gemma":[0.9678825,0.00047952734,0.025463426,0.00023438249,0.00010423349,0.00013470485,0.000053381133,0.00009643461,0.0055513955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993443,0.0003083291,0.000024946341,0.000095983516,0.00013832559,0.000088119334],"domain_scores_gemma":[0.9977139,0.0013228997,0.00033524228,0.00017867911,0.00021863701,0.00023060033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014689442,0.00061195035,0.0006172992,0.0007632109,0.0006005058,0.001140458,0.00081344804,0.0010691411,0.0021440275],"category_scores_gemma":[0.0068275756,0.00033035676,0.00068441656,0.0002480614,0.00297076,0.002202364,0.0019056294,0.0016360928,0.00021517827],"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":[0.00010206708,0.00003813379,0.00081024255,0.000112053654,0.000033775,0.00033314785,0.00031532935,0.21311454,0.009129642,0.7715179,0.00056979124,0.0039233943],"study_design_scores_gemma":[0.000014462588,0.00004566905,0.00025916076,0.000015468991,0.0000070611723,0.000049661394,0.000045109326,0.8007904,0.0011108211,0.196905,0.0007418565,0.000015397783],"about_ca_topic_score_codex":0.0012805022,"about_ca_topic_score_gemma":0.0008147757,"teacher_disagreement_score":0.0021440275,"about_ca_system_score_codex":0.0010437225,"about_ca_system_score_gemma":0.0005079289,"threshold_uncertainty_score":0.0077685714},"labels":[],"label_agreement":null},{"id":"W3082375882","doi":"10.1214/22-aap1904","title":"A spatial measure-valued model for chemical reaction networks in heterogeneous systems","year":2023,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"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":"Natural Sciences and Engineering Research Council of Canada; Centre de Recherches Mathématiques","keywords":"Measure (data warehouse); Statistical physics; Jump; Limit (mathematics); Markov process; Jump process; Mathematics; Process (computing); Scaling; Piecewise; Probability mass function; Biological system; Computer science; Physics; Probability density function; Mathematical analysis; Statistics; Data mining; Quantum mechanics","score_opus":0.05763088700405794,"score_gpt":0.2884766110811173,"score_spread":0.23084572407705933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082375882","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":[0.096052736,0.00067973445,0.89287454,0.0009393575,0.00008833073,0.00005456886,0.00023611131,0.00017369856,0.008900943],"genre_scores_gemma":[0.94182646,0.0007158579,0.047357135,0.0001665886,0.000112377726,0.00015496698,0.00016129852,0.00005161343,0.009453575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999416,0.00019982932,0.000023907052,0.00013202055,0.00015281039,0.00007540879],"domain_scores_gemma":[0.99896526,0.00047532428,0.00024453588,0.00007351801,0.00011273582,0.00012862562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009605194,0.0006438473,0.0007762393,0.00093055103,0.00051813456,0.0018279682,0.002086675,0.0016077368,0.0022200372],"category_scores_gemma":[0.0025387108,0.00037054042,0.0008768394,0.0010571298,0.0017295848,0.0023426577,0.0010433552,0.0012462325,0.00039450603],"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":[0.000030941752,0.000036333062,0.00075523526,0.000060157967,0.00003206917,0.00036365303,0.00013013901,0.4309495,0.00523126,0.55904245,0.00047253168,0.0028956928],"study_design_scores_gemma":[0.000012212925,0.000020642485,0.0001485933,0.000005453932,0.0000093147655,0.000066595945,0.000016036434,0.92298114,0.00031913328,0.075571775,0.0008384832,0.0000105772],"about_ca_topic_score_codex":0.0031094458,"about_ca_topic_score_gemma":0.0017927899,"teacher_disagreement_score":0.0031094458,"about_ca_system_score_codex":0.001701401,"about_ca_system_score_gemma":0.0007249432,"threshold_uncertainty_score":0.012344599},"labels":[],"label_agreement":null},{"id":"W3127987152","doi":"10.1214/22-aap1899","title":"Geometry of random Cayley graphs of Abelian groups","year":2023,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","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":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Combinatorics; Cayley graph; Mathematics; Abelian group; Conjecture; Spectral radius; Random graph; Vertex (graph theory); Discrete mathematics; Graph; Eigenvalues and eigenvectors","score_opus":0.13631206497826218,"score_gpt":0.35724616701672035,"score_spread":0.22093410203845817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127987152","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.896232,0.0013017395,0.08320109,0.0017553185,0.000077398436,0.00010080267,0.0006538433,0.00033158492,0.016346136],"genre_scores_gemma":[0.9875938,0.0005462451,0.008080921,0.00018040363,0.00009010822,0.000075505384,0.000480985,0.000040738316,0.002911256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989998,0.00043609008,0.000029759425,0.00021926584,0.00016970784,0.00014538867],"domain_scores_gemma":[0.99476516,0.0024115962,0.00095210486,0.00059412053,0.00042368952,0.0008532297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010517411,0.00046891638,0.0006921544,0.0015758572,0.0010980588,0.0021036142,0.0014111323,0.00087141054,0.0025100375],"category_scores_gemma":[0.007979822,0.00048892136,0.00043371358,0.0008034303,0.002449924,0.002767209,0.0017890969,0.0010242962,0.00046075825],"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":[0.0002790248,0.000028251434,0.00345493,0.000086189175,0.000051537325,0.0003083196,0.00041485578,0.037345238,0.0035551428,0.9448732,0.00326188,0.006341452],"study_design_scores_gemma":[0.000113166694,0.00010373337,0.0033433882,0.000029458413,0.000031096813,0.0003635033,0.00023087635,0.18049379,0.002225996,0.80723804,0.00577524,0.000051699397],"about_ca_topic_score_codex":0.0024116554,"about_ca_topic_score_gemma":0.0017729021,"teacher_disagreement_score":0.0025100375,"about_ca_system_score_codex":0.0019063452,"about_ca_system_score_gemma":0.00046485447,"threshold_uncertainty_score":0.013831615},"labels":[],"label_agreement":null},{"id":"W3153027315","doi":"10.1214/23-aap2013","title":"Linear-time uniform generation of random sparse contingency tables with specified marginals","year":2024,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Contingency table; Mathematics; Applied mathematics; Algorithm; Computer science; Statistics; Combinatorics","score_opus":0.21617565193954852,"score_gpt":0.3646997353871591,"score_spread":0.1485240834476106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153027315","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":[0.023937834,0.00013367637,0.9706717,0.00030257858,0.000048500748,0.00017417502,0.0005926434,0.0020315738,0.002107354],"genre_scores_gemma":[0.34476963,0.000115761795,0.64853317,0.00028364928,0.00006575402,0.0006242978,0.0020958744,0.00040888914,0.0031029005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975885,0.0010747836,0.00013946701,0.00046100575,0.000482906,0.00025327582],"domain_scores_gemma":[0.98931354,0.007630283,0.00041312535,0.0018046898,0.0005992403,0.00023915358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022898342,0.0006841094,0.0009952722,0.0006263694,0.0006161771,0.0010651144,0.0015896306,0.00070460775,0.007561244],"category_scores_gemma":[0.016035834,0.0005829503,0.00077983376,0.0010481592,0.0009304482,0.001436172,0.001600104,0.0012069518,0.0015210675],"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":[0.0017963778,0.00028444748,0.0047744373,0.00041375458,0.00017222743,0.00047879107,0.00034673538,0.44488078,0.009133354,0.23765166,0.025103094,0.27496433],"study_design_scores_gemma":[0.00022286792,0.00006936537,0.00025390106,0.000016806507,0.000020262929,0.0001236029,0.00002866273,0.87507373,0.0045478866,0.1176443,0.001975285,0.000023367083],"about_ca_topic_score_codex":0.0015223484,"about_ca_topic_score_gemma":0.0029413747,"teacher_disagreement_score":0.007561244,"about_ca_system_score_codex":0.0008165746,"about_ca_system_score_gemma":0.001839797,"threshold_uncertainty_score":0.02529484},"labels":[],"label_agreement":null},{"id":"W4293483531","doi":"10.1214/21-aap1753","title":"Convergences of the rescaled Whittaker stochastic differential equations and independent sums","year":2022,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Stochastic differential equation; Covariance; Connection (principal bundle); Poisson point process; Probabilistic logic; Applied mathematics; Weak convergence; Limit (mathematics); Convergence (economics); Gaussian; Heat equation; Poisson distribution; Representation (politics); Convergence of random variables; Point process; Gaussian process; Mathematical analysis; Random variable; Statistics","score_opus":0.131717956906839,"score_gpt":0.3336267078235058,"score_spread":0.2019087509166668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293483531","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":[0.526922,0.0020332132,0.44344977,0.0016283741,0.0002172955,0.0000674396,0.00023798647,0.0002559705,0.025187952],"genre_scores_gemma":[0.96370846,0.0008772584,0.023393303,0.00023621767,0.00018967377,0.00011053438,0.00020752253,0.000114922885,0.0111620445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916434,0.0003137287,0.000053704855,0.00012106478,0.00023186994,0.00011529959],"domain_scores_gemma":[0.9969689,0.0015583633,0.00044866395,0.00018041566,0.000490632,0.00035308147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019466764,0.0009832953,0.0010865658,0.001869671,0.00068960764,0.0020055138,0.001305363,0.001224245,0.003017668],"category_scores_gemma":[0.007366697,0.00043957066,0.0017091818,0.0007532423,0.0034903665,0.0028634884,0.0019477375,0.0019269695,0.00031833685],"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":[0.000020445645,0.00003015559,0.0008335549,0.000060164428,0.000036582584,0.00030217413,0.00023473764,0.049085584,0.0015164015,0.9455001,0.0004322921,0.0019478251],"study_design_scores_gemma":[0.000019173738,0.000026713255,0.00057509047,0.000020983096,0.000012970483,0.00014070408,0.000070998045,0.5488879,0.000614269,0.44900545,0.0005951794,0.000030590967],"about_ca_topic_score_codex":0.0030249502,"about_ca_topic_score_gemma":0.0015849295,"teacher_disagreement_score":0.0030249502,"about_ca_system_score_codex":0.0012975748,"about_ca_system_score_gemma":0.0007997284,"threshold_uncertainty_score":0.010295093},"labels":[],"label_agreement":null},{"id":"W4321503317","doi":"10.1214/22-aap1823","title":"Strong approximation of Gaussian β ensemble characteristic polynomials: The hyperbolic regime","year":2023,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Gaussian; Scaling; Gaussian free field; Limit (mathematics); Polynomial; Probabilistic logic; Mathematical analysis; Function (biology); Orthogonal polynomials; Matrix (chemical analysis); Gaussian random field; Applied mathematics; Gaussian function; Geometry; Statistics; Quantum mechanics","score_opus":0.16442606750253022,"score_gpt":0.35918348912749765,"score_spread":0.19475742162496743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321503317","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":[0.5770604,0.000552568,0.40539142,0.0011854384,0.00007976498,0.000038641298,0.000093065464,0.00029870504,0.015299955],"genre_scores_gemma":[0.9850808,0.00027212466,0.010723519,0.00013924213,0.000070528215,0.000032164895,0.00004423568,0.000057274432,0.0035800978],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995704,0.00015699987,0.000011643114,0.00005697873,0.00010702776,0.000096917254],"domain_scores_gemma":[0.99752337,0.0011423072,0.00047953083,0.0002741681,0.00026349848,0.00031706117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012180164,0.000505907,0.00047373035,0.00067375886,0.00048495957,0.0009676325,0.0009750438,0.00071315246,0.0016831725],"category_scores_gemma":[0.0068936,0.00025070325,0.00047248136,0.0003700243,0.0021322942,0.0019015562,0.0016132633,0.0016359307,0.00026979946],"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":[0.00007226507,0.00004238678,0.0019364542,0.000074461735,0.000025206913,0.00028095912,0.00035852173,0.081651874,0.007852028,0.90223145,0.00083544356,0.0046390076],"study_design_scores_gemma":[0.00001039218,0.000042158594,0.0007235841,0.000019107783,0.0000075595353,0.00009789938,0.00007545112,0.80585086,0.0023171213,0.19024119,0.0005894136,0.000025306774],"about_ca_topic_score_codex":0.00208471,"about_ca_topic_score_gemma":0.0011882178,"teacher_disagreement_score":0.00208471,"about_ca_system_score_codex":0.00084367354,"about_ca_system_score_gemma":0.0007084538,"threshold_uncertainty_score":0.006441593},"labels":[],"label_agreement":null},{"id":"W4353080673","doi":"10.1214/22-aap1846","title":"Complexity results for MCMC derived from quantitative bounds","year":2023,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Markov Chains and Monte Carlo Methods","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":"University of Toronto","funders":"","keywords":"Mathematics; Markov chain; Upper and lower bounds; Mixing (physics); Estimator; Gibbs sampling; Convergence (economics); Markov chain Monte Carlo; State space; Dimension (graph theory); Applied mathematics; State (computer science); Mathematical optimization; Algorithm; Combinatorics; Monte Carlo method; Statistics; Mathematical analysis; Bayesian probability","score_opus":0.5365528702608247,"score_gpt":0.46436562103167806,"score_spread":0.0721872492291466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353080673","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":[0.005692621,0.00087639556,0.98570454,0.0009442033,0.00009416337,0.00008756741,0.0001923932,0.00022462517,0.00618347],"genre_scores_gemma":[0.442551,0.0031567889,0.537365,0.0020312525,0.0012256524,0.0016471789,0.0014344074,0.0012232685,0.009365365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9921423,0.0031690195,0.00039712773,0.0009788669,0.0026909052,0.0006216526],"domain_scores_gemma":[0.9125827,0.07274476,0.0031275451,0.0061084377,0.004149386,0.0012871962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012162932,0.0025304216,0.0021008004,0.003579304,0.0015357981,0.0032402803,0.0031248573,0.0023242226,0.0074760257],"category_scores_gemma":[0.083028905,0.0012093955,0.0025721118,0.0024209956,0.0051059816,0.007483775,0.0050895824,0.00807452,0.001129039],"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":[0.00010191689,0.000064231484,0.0013263883,0.00036529702,0.000113796414,0.00011537677,0.00020137792,0.27242157,0.002014893,0.70166284,0.0026883876,0.018923948],"study_design_scores_gemma":[0.000012088785,0.000021634607,0.00040684082,0.00005361259,0.000017816707,0.000047080193,0.00002029896,0.6961648,0.0008429757,0.30075175,0.0016309298,0.000030194842],"about_ca_topic_score_codex":0.0037668485,"about_ca_topic_score_gemma":0.0036966742,"teacher_disagreement_score":0.012162932,"about_ca_system_score_codex":0.0055612028,"about_ca_system_score_gemma":0.0028114803,"threshold_uncertainty_score":0.06432456},"labels":[],"label_agreement":null},{"id":"W4389674419","doi":"10.1214/23-aap2004","title":"Erratum: Diffusion models and steady-state approximations for exponentially ergodic Markovian queues","year":2023,"lang":"en","type":"erratum","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","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":"Kellogg's (Canada)","funders":"","keywords":"Mathematics; Ergodic theory; Diffusion; Steady state (chemistry); Exponential growth; Queue; State (computer science); Applied mathematics; Exponential function; Markov process; Statistical physics; Mathematical analysis; Statistics; Algorithm; Thermodynamics; Computer science; Physics","score_opus":0.15693729945867746,"score_gpt":0.35157537257601484,"score_spread":0.19463807311733738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389674419","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005495907,0.0025947844,0.009823269,0.06269777,0.91410536,0.000029503777,0.0017103689,0.0006539688,0.007835368],"genre_scores_gemma":[0.047561865,0.018025406,0.042562306,0.10589636,0.304137,0.00040585455,0.0070533976,0.0062888674,0.46806893],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995057,0.00065218064,0.0008550124,0.000838206,0.0023212442,0.0002762995],"domain_scores_gemma":[0.97508526,0.0073450003,0.0010718078,0.001958578,0.013695016,0.00084426627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044573466,0.0025378752,0.0019249254,0.0040260693,0.0032212466,0.003942048,0.004500093,0.0055665555,0.05264958],"category_scores_gemma":[0.0686572,0.0012003314,0.0021574025,0.003887439,0.0028591633,0.005918353,0.0022186877,0.010043262,0.028964143],"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":[0.000031038777,0.000009141289,0.00006702279,0.00008679103,0.000011677089,0.00013599383,0.00003249847,0.0002860284,0.00006078907,0.009630651,0.9826539,0.0069944235],"study_design_scores_gemma":[0.00007743001,0.00004554494,0.0006807349,0.00053453137,0.00009010024,0.0009518021,0.00010121629,0.0071499934,0.00087170437,0.05268726,0.9366515,0.00015820627],"about_ca_topic_score_codex":0.015055529,"about_ca_topic_score_gemma":0.01779386,"teacher_disagreement_score":0.05264958,"about_ca_system_score_codex":0.005379825,"about_ca_system_score_gemma":0.0048031653,"threshold_uncertainty_score":0.17613041},"labels":[],"label_agreement":null},{"id":"W4389674451","doi":"10.1214/23-aap1954","title":"Viscosity solutions to second order path-dependent Hamilton–Jacobi–Bellman equations and applications","year":2023,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","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":"Science North","funders":"","keywords":"Hamilton–Jacobi equation; Mathematics; Viscosity solution; Bellman equation; Viscosity; Applied mathematics; Path (computing); Optimal control; Hamilton–Jacobi–Bellman equation; Mathematical analysis; Stochastic control; Order (exchange); Stochastic differential equation; Mathematical optimization; Computer science","score_opus":0.09926966798696428,"score_gpt":0.27927384809026173,"score_spread":0.18000418010329744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389674451","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":[0.045268588,0.0071575185,0.9075028,0.0042601423,0.0006826399,0.000054940287,0.00008003963,0.00009526321,0.034898054],"genre_scores_gemma":[0.82078654,0.008264815,0.13961835,0.0010257663,0.0008909173,0.00019992977,0.00013468695,0.00010328442,0.028975753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995615,0.00015509142,0.00002513509,0.00006605789,0.00015006366,0.00004220905],"domain_scores_gemma":[0.998938,0.0005332426,0.00018545215,0.00005466528,0.0001811306,0.000107550855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012098114,0.00084877637,0.000570497,0.0009261245,0.0006394806,0.0014983054,0.0005977947,0.0018750662,0.002363405],"category_scores_gemma":[0.0038489683,0.00039151162,0.00094802276,0.00074663525,0.002079845,0.002109405,0.0017413094,0.002541453,0.00020712789],"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":[0.0000048373704,0.000009887282,0.0001004344,0.00004017098,0.000006418004,0.000060004102,0.00008623911,0.010904007,0.00087815785,0.984371,0.00043754256,0.0031013133],"study_design_scores_gemma":[0.000009783593,0.00002930115,0.00016702754,0.000034824257,0.000005099649,0.00011180681,0.000055691908,0.12178347,0.00043070008,0.8723766,0.0049782135,0.000017424814],"about_ca_topic_score_codex":0.001315988,"about_ca_topic_score_gemma":0.0005743248,"teacher_disagreement_score":0.002363405,"about_ca_system_score_codex":0.0012766655,"about_ca_system_score_gemma":0.0009463875,"threshold_uncertainty_score":0.009262919},"labels":[],"label_agreement":null},{"id":"W4391333047","doi":"10.1214/23-aap1969","title":"Toward a mathematical theory of trajectory inference","year":2024,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"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 British Columbia","funders":"","keywords":"Mathematics; Inference; Trajectory; Applied mathematics; Mathematical economics; Calculus (dental); Artificial intelligence; Computer science","score_opus":0.10117749134810526,"score_gpt":0.30945501895717403,"score_spread":0.20827752760906876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391333047","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":[0.0007691157,0.00017955384,0.99712306,0.00055803545,0.000034536035,0.000009975276,0.00006260071,0.000037443137,0.001225691],"genre_scores_gemma":[0.15308587,0.002710485,0.8319625,0.0010747656,0.0008929064,0.0006274956,0.0007934042,0.00046287154,0.008389708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979976,0.00085259794,0.00012110229,0.00041411983,0.00049889786,0.00011567338],"domain_scores_gemma":[0.9844881,0.012074019,0.00096645724,0.0009927134,0.0011360168,0.00034255927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070693423,0.0013339733,0.0014883761,0.002894798,0.0015230399,0.00357066,0.0034801106,0.0031533167,0.004340074],"category_scores_gemma":[0.027693212,0.0012319466,0.0026951816,0.0023139082,0.0056966413,0.0066488306,0.005065492,0.0074326913,0.0011840087],"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":[0.000008676396,0.00001307771,0.00034734802,0.000067609,0.000023828876,0.000047142905,0.000081208826,0.16200687,0.00028405362,0.8302769,0.0011941906,0.005649089],"study_design_scores_gemma":[0.0000046745135,0.000008077128,0.000064774445,0.000028524153,0.0000048302263,0.000021941885,0.00001459416,0.54364216,0.000119984485,0.45385697,0.002221824,0.000011666246],"about_ca_topic_score_codex":0.0049709687,"about_ca_topic_score_gemma":0.0032302176,"teacher_disagreement_score":0.0070693423,"about_ca_system_score_codex":0.0032204816,"about_ca_system_score_gemma":0.003266502,"threshold_uncertainty_score":0.037386715},"labels":[],"label_agreement":null},{"id":"W4402933288","doi":"10.1214/24-aap2078","title":"Viscosity solutions to second order elliptic Hamilton-Jacobi–Bellman equations with infinite delay","year":2024,"lang":"en","type":"article","venue":"The Annals of Applied Probability","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Hamilton–Jacobi equation; Viscosity solution; Order (exchange); Viscosity; Mathematics; Applied mathematics; Hamilton–Jacobi–Bellman equation; Mathematical analysis; Bellman equation; Mathematical economics; Physics; Economics; Thermodynamics","score_opus":0.0866799126225905,"score_gpt":0.2715315161063319,"score_spread":0.1848516034837414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402933288","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":[0.09597521,0.0012192061,0.8853748,0.0017061625,0.0002465891,0.000038599705,0.00007507759,0.000062211126,0.015302162],"genre_scores_gemma":[0.9119686,0.0012231013,0.07038888,0.00036405056,0.00021504851,0.00012799441,0.00008545567,0.000048561975,0.015578316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996544,0.00010722208,0.000020695377,0.00006763708,0.000104206345,0.000045806584],"domain_scores_gemma":[0.9991148,0.0003868236,0.00023279099,0.00004120656,0.00012436863,0.000099908786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009789631,0.00074418605,0.0005293841,0.0006767188,0.00048988115,0.0015487175,0.00074287556,0.0013369501,0.0015477114],"category_scores_gemma":[0.0035644458,0.0003533833,0.0006060437,0.00041106422,0.0018642091,0.0027932688,0.0015656614,0.0017584907,0.00012584626],"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":[0.00001822835,0.0000135648,0.00019595266,0.000040671996,0.000009978886,0.00013068908,0.00011083929,0.029023845,0.0031028425,0.9646358,0.0002947686,0.0024228524],"study_design_scores_gemma":[0.000029965382,0.00004109625,0.00022669353,0.000035365476,0.00000865157,0.000118991724,0.000085043685,0.38292813,0.0013232152,0.61261284,0.0025639234,0.000026081789],"about_ca_topic_score_codex":0.0010143042,"about_ca_topic_score_gemma":0.0005629151,"teacher_disagreement_score":0.0015487175,"about_ca_system_score_codex":0.0012105025,"about_ca_system_score_gemma":0.0010034298,"threshold_uncertainty_score":0.008782804},"labels":[],"label_agreement":null},{"id":"W4405416037","doi":"10.1214/24-aap2101","title":"Population dynamics under demographic and environmental stochasticity","year":2024,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Population; Geography; Dynamics (music); Ecology; Environmental science; Demography; Biology; Sociology","score_opus":0.05184131460644222,"score_gpt":0.3089424942824847,"score_spread":0.2571011796760425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405416037","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":[0.835263,0.0012537255,0.1341074,0.01431055,0.00017863126,0.000042383836,0.0004101905,0.00009365551,0.014340516],"genre_scores_gemma":[0.9933494,0.00079745986,0.002371392,0.00024837244,0.00017016687,0.000020923726,0.000065710876,0.000011494115,0.0029650286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985297,0.0007445141,0.00005998692,0.00021717009,0.00024442878,0.00020423063],"domain_scores_gemma":[0.98707145,0.00936915,0.0016086824,0.0005036565,0.0008376019,0.0006095485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046806694,0.00029332307,0.00088328193,0.0010417402,0.0005464014,0.002178986,0.0011017948,0.0017148596,0.0023646792],"category_scores_gemma":[0.02236436,0.0004780484,0.00050904707,0.0006196458,0.002996549,0.0038860526,0.0018608448,0.0015415032,0.00029369383],"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":[0.00011994904,0.00010422129,0.020430444,0.00007852254,0.000114270326,0.0006117141,0.0008622554,0.16643584,0.0011837293,0.7957889,0.0020778575,0.012192305],"study_design_scores_gemma":[0.000035315767,0.00006551006,0.0112269465,0.000019964638,0.00004014744,0.00050103077,0.0005164149,0.44696248,0.00013075717,0.53904796,0.0014125493,0.00004095021],"about_ca_topic_score_codex":0.0032562702,"about_ca_topic_score_gemma":0.0022773892,"teacher_disagreement_score":0.0046806694,"about_ca_system_score_codex":0.0014569694,"about_ca_system_score_gemma":0.0010024747,"threshold_uncertainty_score":0.024753988},"labels":[],"label_agreement":null},{"id":"W4405416069","doi":"10.1214/24-aap2099","title":"Martingale transports and Monge maps","year":2024,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Geometric Analysis and Curvature Flows","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Martingale (probability theory); Mathematics; Geology; Calculus (dental); Geography; Applied mathematics; Medicine","score_opus":0.11479975170441778,"score_gpt":0.3299426945676944,"score_spread":0.2151429428632766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405416069","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":[0.47757888,0.048494026,0.3014457,0.037038818,0.0031697785,0.000056494555,0.0010050394,0.00041531227,0.13079587],"genre_scores_gemma":[0.9057662,0.015845198,0.020815318,0.0014732954,0.003421807,0.0000907832,0.0004259265,0.000168152,0.051993277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992781,0.0003483737,0.00003069253,0.00012686274,0.00013261064,0.00008329024],"domain_scores_gemma":[0.99421316,0.003846809,0.0005755855,0.00034187318,0.0005068156,0.0005158418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027943847,0.0009579093,0.0015345899,0.0033128792,0.0018905858,0.00442524,0.0012489264,0.0025918186,0.0062741735],"category_scores_gemma":[0.0099745765,0.00088878,0.0009888889,0.002263847,0.005722387,0.0079240445,0.0025326153,0.0036747658,0.0005646615],"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":[0.0000072769158,0.0000063466514,0.00009958794,0.000017402755,0.000005114845,0.000019198944,0.000089908186,0.00068206683,0.00006838909,0.997584,0.0005468584,0.00087398686],"study_design_scores_gemma":[0.0000063527195,0.000006108739,0.00016973648,0.000009506668,0.0000035436663,0.00003425011,0.000036440906,0.003784241,0.000027907512,0.99349964,0.002414838,0.000007370619],"about_ca_topic_score_codex":0.0026664168,"about_ca_topic_score_gemma":0.0021169863,"teacher_disagreement_score":0.0062741735,"about_ca_system_score_codex":0.0025453253,"about_ca_system_score_gemma":0.0012002507,"threshold_uncertainty_score":0.02098918},"labels":[],"label_agreement":null},{"id":"W4405416078","doi":"10.1214/24-aap2098","title":"Continuous-time weakly self-avoiding walk on Z has strictly monotone escape speed","year":2024,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Quantum chaos and dynamical systems","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Monotone polygon; Mathematics; Combinatorics; Statistical physics; Physics; Geometry","score_opus":0.04245581136930224,"score_gpt":0.27467194663061056,"score_spread":0.23221613526130833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405416078","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":[0.87644607,0.00090414996,0.102590874,0.0012664914,0.00015872352,0.00006589774,0.0002666457,0.00035107418,0.017950172],"genre_scores_gemma":[0.9804078,0.0007395319,0.008683243,0.00022748012,0.00016245354,0.0000965635,0.00022085103,0.00010596326,0.009356137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99949527,0.00012049683,0.000026743422,0.00010291111,0.00012008934,0.00013455153],"domain_scores_gemma":[0.99348843,0.0038899863,0.00075020903,0.0002486445,0.0006498071,0.0009728848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010055322,0.0015328621,0.002167696,0.0023890475,0.0016628585,0.0033986114,0.0017499153,0.001990723,0.0025025583],"category_scores_gemma":[0.006526551,0.00072873384,0.0012621857,0.0009867699,0.0030502903,0.00372945,0.0023565085,0.0021346593,0.0004123236],"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":[0.00048762283,0.000104043924,0.0020021005,0.00024789086,0.000113069,0.00046228382,0.000311631,0.026799921,0.010895275,0.9517318,0.0012049256,0.0056393393],"study_design_scores_gemma":[0.00015856062,0.00022943133,0.002276369,0.000062263,0.00005484953,0.0005250438,0.00013619711,0.31058288,0.0016266427,0.6829808,0.001294273,0.00007277034],"about_ca_topic_score_codex":0.0014083988,"about_ca_topic_score_gemma":0.00081232167,"teacher_disagreement_score":0.0033986114,"about_ca_system_score_codex":0.0012124486,"about_ca_system_score_gemma":0.001134378,"threshold_uncertainty_score":0.00879699},"labels":[],"label_agreement":null},{"id":"W4409748157","doi":"10.1214/25-aap2146","title":"Average-case and smoothed analysis of graph isomorphism","year":2025,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Isomorphism (crystallography); Graph isomorphism; Graph; Mathematics; Combinatorics; Computer science; Chemistry; Crystallography; Line graph","score_opus":0.037252546361507516,"score_gpt":0.2841761287804059,"score_spread":0.24692358241889836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409748157","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":[0.06429873,0.00029230132,0.9284319,0.00040212006,0.000037006226,0.00005250078,0.0001488292,0.0008110411,0.0055255033],"genre_scores_gemma":[0.8297811,0.0005383058,0.1599444,0.00035817438,0.00021266105,0.00026224248,0.0005565583,0.00046850558,0.0078780865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817264,0.00045069552,0.00005076334,0.00055322284,0.0004940892,0.0002785266],"domain_scores_gemma":[0.9912149,0.0042239362,0.0010031068,0.0022060934,0.00080338446,0.0005485748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021185684,0.0008281451,0.0013709057,0.0027281607,0.0011657425,0.0014531222,0.0028571996,0.0016704052,0.0057662195],"category_scores_gemma":[0.017303176,0.0007734277,0.0015781793,0.0017005298,0.0026865131,0.0061120307,0.0031545146,0.0026563345,0.0009592862],"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":[0.00017186067,0.00011856163,0.0027799297,0.00017470698,0.00009153837,0.00030944656,0.0004322763,0.23777847,0.007284858,0.71313703,0.004139692,0.03358162],"study_design_scores_gemma":[0.0000125634315,0.0000441906,0.00049628544,0.00001074924,0.000017771006,0.00010285829,0.00004277581,0.6596676,0.0016550457,0.33599007,0.0019368284,0.00002319443],"about_ca_topic_score_codex":0.0021651655,"about_ca_topic_score_gemma":0.0019296774,"teacher_disagreement_score":0.0057662195,"about_ca_system_score_codex":0.0022263592,"about_ca_system_score_gemma":0.0011386946,"threshold_uncertainty_score":0.01928991},"labels":[],"label_agreement":null},{"id":"W4409748822","doi":"10.1214/24-aap2135","title":"The roughness exponent and its model-free estimation","year":2025,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","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 Waterloo","funders":"","keywords":"Exponent; Statistical physics; Surface finish; Surface roughness; Estimation; Mathematics; Econometrics; Statistics; Materials science; Physics; Economics; Thermodynamics; Philosophy; Metallurgy","score_opus":0.0458045748593099,"score_gpt":0.2887530520626894,"score_spread":0.24294847720337953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409748822","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":[0.09671911,0.0012545831,0.8980321,0.0006255806,0.00006092839,0.000027298462,0.00014192656,0.0001649967,0.0029734096],"genre_scores_gemma":[0.94014436,0.0012030896,0.054886762,0.00016154707,0.00024748247,0.000082942905,0.0003377026,0.00008169439,0.0028545486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987538,0.00040822872,0.00006197695,0.00035478757,0.00028577613,0.00013540148],"domain_scores_gemma":[0.9902872,0.006122597,0.0015217366,0.0011177093,0.00068709196,0.0002637483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037930175,0.00075818435,0.00076217,0.0017198346,0.00038928032,0.0012710867,0.0012032349,0.0010753139,0.0009013909],"category_scores_gemma":[0.023353215,0.0005092223,0.00084505696,0.00067437947,0.0022425363,0.0033153961,0.0020432626,0.0016633264,0.00020204832],"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":[0.00008763834,0.000031076997,0.008670279,0.00022418927,0.0001322453,0.00033332023,0.0002125117,0.23543596,0.0069133663,0.72621506,0.0011935593,0.020550901],"study_design_scores_gemma":[0.000015503201,0.00005538948,0.003215998,0.000052478375,0.000024921888,0.00013710857,0.000038076254,0.69442916,0.0012651215,0.2989917,0.0017191184,0.00005542752],"about_ca_topic_score_codex":0.001457748,"about_ca_topic_score_gemma":0.00059307896,"teacher_disagreement_score":0.0037930175,"about_ca_system_score_codex":0.0008164891,"about_ca_system_score_gemma":0.0006381758,"threshold_uncertainty_score":0.020059645},"labels":[],"label_agreement":null},{"id":"W4411433746","doi":"10.1214/25-aap2166","title":"Cutoff for random walk on random graphs with a community structure","year":2025,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Random walk; Random graph; Cutoff; Mathematics; Statistical physics; Heterogeneous random walk in one dimension; Community structure; Combinatorics; Statistics; Sociology; Discrete mathematics; Physics; Graph; Quantum mechanics","score_opus":0.03495243514477193,"score_gpt":0.30816699619310056,"score_spread":0.27321456104832864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411433746","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":[0.16009478,0.004679332,0.7954819,0.0059953677,0.0007403379,0.00019529577,0.0006988477,0.0015469298,0.030567233],"genre_scores_gemma":[0.86152107,0.003327126,0.104904026,0.0019471884,0.00213242,0.0007475418,0.00093846617,0.00081140094,0.023670819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99677926,0.001267856,0.00013952688,0.0006321892,0.0007551194,0.00042602408],"domain_scores_gemma":[0.94988334,0.034512896,0.0035765767,0.003492456,0.0033064205,0.005228268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060666464,0.0014257847,0.0040222947,0.007352495,0.0027313514,0.005374031,0.0054956796,0.0049380134,0.0071952115],"category_scores_gemma":[0.048308417,0.001408955,0.00178977,0.0037128981,0.0060869623,0.011498167,0.0048525357,0.0068788663,0.001024257],"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":[0.00006328166,0.00008573087,0.00058969867,0.00018554107,0.000035122124,0.00016172256,0.00022168293,0.013644094,0.0008415439,0.9757405,0.0035197341,0.0049114097],"study_design_scores_gemma":[0.000027984963,0.000015167455,0.00039818833,0.00005036851,0.000017193192,0.00009476423,0.000046719,0.21525952,0.00013332545,0.78292096,0.0010088154,0.000027012959],"about_ca_topic_score_codex":0.0033272475,"about_ca_topic_score_gemma":0.003081296,"teacher_disagreement_score":0.007352495,"about_ca_system_score_codex":0.00431695,"about_ca_system_score_gemma":0.0018593974,"threshold_uncertainty_score":0.03208387},"labels":[],"label_agreement":null},{"id":"W4413180665","doi":"10.1214/25-aap2174","title":"Estimation and testing in generalized CIR model","year":2025,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Estimation; Statistics; Computer science; Reliability engineering; Econometrics; Mathematics; Engineering","score_opus":0.12804058055849762,"score_gpt":0.2968646313181928,"score_spread":0.16882405075969517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413180665","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":[0.08046363,0.00045299472,0.9158591,0.0007577022,0.0000869496,0.000069321606,0.00019014665,0.00081723084,0.0013029202],"genre_scores_gemma":[0.8353432,0.0005946446,0.15907219,0.00029395017,0.00032756847,0.00024535853,0.000995678,0.0001744165,0.0029530255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98258394,0.0133658275,0.00055190723,0.0017325499,0.00097165,0.00079406914],"domain_scores_gemma":[0.83148205,0.15528832,0.0037496737,0.005988608,0.0025827992,0.0009085607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018991616,0.0013434816,0.0030184616,0.0023783206,0.00069354626,0.0023624934,0.003469434,0.0029476534,0.0043508634],"category_scores_gemma":[0.1037745,0.0014557247,0.0018603544,0.0019578487,0.002808442,0.0041376054,0.002880955,0.0028681445,0.00059357804],"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":[0.0005808266,0.00017083876,0.012614053,0.00035025302,0.0005301656,0.0010465751,0.00033475124,0.69238925,0.0010350957,0.18885277,0.003104196,0.09899123],"study_design_scores_gemma":[0.000054277836,0.00006346472,0.00068185705,0.000017376155,0.000044181255,0.00008404071,0.00003101566,0.9207368,0.00029299874,0.07766683,0.000306813,0.000020384803],"about_ca_topic_score_codex":0.0056136204,"about_ca_topic_score_gemma":0.003319877,"teacher_disagreement_score":0.018991616,"about_ca_system_score_codex":0.0008522113,"about_ca_system_score_gemma":0.002853386,"threshold_uncertainty_score":0.100438476},"labels":[],"label_agreement":null},{"id":"W4413182436","doi":"10.1214/25-aap2202","title":"Unconditional large deviation principles for Dirichlet posterior and Bayesian bootstrap","year":2025,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Dirichlet distribution; Bayesian probability; Mathematics; Latent Dirichlet allocation; Statistics; Econometrics; Computer science; Artificial intelligence; Topic model; Mathematical analysis","score_opus":0.0836380330588424,"score_gpt":0.34682048480490246,"score_spread":0.26318245174606003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413182436","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":[0.006552014,0.0010875714,0.97758156,0.0009522888,0.00011100354,0.00004125605,0.00013261156,0.00015322639,0.013388415],"genre_scores_gemma":[0.45864573,0.0062254984,0.49985692,0.0018859659,0.0019447346,0.0012151857,0.0008086437,0.0012051468,0.028212173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9916636,0.0040961085,0.00029247627,0.0009636528,0.0025345737,0.0004496891],"domain_scores_gemma":[0.964071,0.02831824,0.0014855044,0.0027155976,0.002585914,0.0008237053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01745721,0.0014675474,0.0019126039,0.003354166,0.0016764522,0.0049104895,0.003719172,0.0035015498,0.0093990695],"category_scores_gemma":[0.067094214,0.0010804768,0.0021042428,0.0025631483,0.006176685,0.0075440058,0.004953957,0.007346904,0.0030158297],"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":[0.0000078587045,0.000007843012,0.00011450614,0.00003080871,0.000010926372,0.000024455561,0.00005586958,0.0057138987,0.00020137492,0.9891271,0.0006342507,0.0040710964],"study_design_scores_gemma":[0.000005906308,0.000008747683,0.00014007991,0.000028959881,0.0000051115426,0.00005357865,0.000015054207,0.040943258,0.00019690915,0.9566689,0.0019187289,0.0000146609755],"about_ca_topic_score_codex":0.0012062708,"about_ca_topic_score_gemma":0.0010901303,"teacher_disagreement_score":0.01745721,"about_ca_system_score_codex":0.0023866403,"about_ca_system_score_gemma":0.0017094356,"threshold_uncertainty_score":0.0923236},"labels":[],"label_agreement":null},{"id":"W4413182473","doi":"10.1214/25-aap2187","title":"Spectral alignment of stochastic gradient descent for high-dimensional classification tasks","year":2025,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stochastic gradient descent; Computer science; Artificial intelligence; Descent (aeronautics); Gradient descent; Pattern recognition (psychology); Physics; Artificial neural network","score_opus":0.11709521972308515,"score_gpt":0.3545861818715112,"score_spread":0.23749096214842605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413182473","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":[0.07440017,0.0003249459,0.9211839,0.0005689978,0.000044142766,0.000033360804,0.000058021473,0.00028605782,0.003100524],"genre_scores_gemma":[0.89003044,0.0004232222,0.10435426,0.00022512689,0.00009490827,0.00014064721,0.00022068874,0.00025599074,0.004254686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871826,0.0006264459,0.00005714572,0.0001964848,0.00029360535,0.00010809804],"domain_scores_gemma":[0.9923316,0.0046871873,0.0010383519,0.000715786,0.0007460259,0.0004810659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003598884,0.0008199391,0.0009444742,0.0008003409,0.0006378998,0.0014457488,0.0013310164,0.0013547887,0.0025839503],"category_scores_gemma":[0.023444956,0.00063627097,0.00055320526,0.00069959613,0.0024148833,0.0029098033,0.0021999655,0.0020039426,0.0006715882],"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":[0.00011233693,0.00009175819,0.002932581,0.00010680244,0.000059116162,0.00013315429,0.00031035018,0.7558666,0.0038255816,0.21179827,0.0014455684,0.02331793],"study_design_scores_gemma":[0.0000031130878,0.00001695847,0.00027518164,0.000006801587,0.0000015493337,0.000010963609,0.000010753051,0.9629718,0.00024704082,0.036282796,0.0001673152,0.000005671856],"about_ca_topic_score_codex":0.0027439112,"about_ca_topic_score_gemma":0.0023763764,"teacher_disagreement_score":0.003598884,"about_ca_system_score_codex":0.0015617053,"about_ca_system_score_gemma":0.0012236516,"threshold_uncertainty_score":0.019032955},"labels":[],"label_agreement":null},{"id":"W4415357546","doi":"10.1214/25-aap2204","title":"The Horton–Strahler number of Galton–Watson trees with possibly infinite variance","year":2025,"lang":"en","type":"article","venue":"The Annals of Applied Probability","topic":"Limits and Structures in Graph Theory","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":"McGill University","funders":"","keywords":"Mathematical proof; Tree (set theory); Variance (accounting); Branching (polymer chemistry); Domain (mathematical analysis); Cauchy distribution","score_opus":0.054469122360917416,"score_gpt":0.34064378773288984,"score_spread":0.28617466537197245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415357546","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":[0.86616784,0.0008920368,0.11174216,0.0010030526,0.00005015203,0.000041625655,0.00015325475,0.00013221595,0.019817613],"genre_scores_gemma":[0.99311674,0.00038181854,0.0040942235,0.00005807478,0.00008290855,0.00003603016,0.00007816828,0.000030775467,0.0021212788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99936837,0.00023942614,0.000026322852,0.000101211604,0.00016262455,0.00010211346],"domain_scores_gemma":[0.99268407,0.0047625,0.0008892418,0.0003261566,0.0005340634,0.00080401683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001480654,0.0005446281,0.00072885223,0.0028850015,0.0011462768,0.002151419,0.00088095834,0.00089211226,0.0025585892],"category_scores_gemma":[0.012807908,0.000494463,0.0004775351,0.0009235686,0.0047069383,0.0030892806,0.001267038,0.0012264339,0.00032230836],"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":[0.00004768098,0.000011744541,0.0022164097,0.00004042312,0.000014584933,0.00019704687,0.00020531748,0.015268681,0.0018333897,0.97651595,0.0006332425,0.0030154483],"study_design_scores_gemma":[0.00001895666,0.000027593827,0.0021769141,0.000023951812,0.000008953237,0.00026589938,0.00010468478,0.122981854,0.0011474771,0.8722469,0.00095936214,0.000037477388],"about_ca_topic_score_codex":0.00074995443,"about_ca_topic_score_gemma":0.0005903083,"teacher_disagreement_score":0.0028850015,"about_ca_system_score_codex":0.0011188346,"about_ca_system_score_gemma":0.0005467893,"threshold_uncertainty_score":0.008559346},"labels":[],"label_agreement":null},{"id":"W4416678801","doi":"10.1214/25-aap2219","title":"Erratum: Exact formulas for random growth with half-flat initial data","year":2025,"lang":"","type":"article","venue":"The Annals of Applied Probability","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Université du Québec à Montréal","funders":"","keywords":"Random variable; Function (biology); Simple (philosophy); Probability-generating function; Generating function; Random function; Variable (mathematics)","score_opus":0.16931389762309862,"score_gpt":0.38817515311059614,"score_spread":0.21886125548749752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416678801","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013942699,0.021290135,0.48176208,0.08198253,0.34138244,0.00023952796,0.004873616,0.002136748,0.052390266],"genre_scores_gemma":[0.25150478,0.021851495,0.37972358,0.055164702,0.053762045,0.0007605367,0.004732715,0.006584829,0.22591527],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980556,0.0003838652,0.00035449187,0.0003308863,0.0007142862,0.00016092866],"domain_scores_gemma":[0.99152434,0.0040501533,0.00046583844,0.0010306804,0.0026998897,0.00022910723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036612987,0.0016794085,0.0010273493,0.0022333474,0.0010785953,0.0016191307,0.0031603407,0.0032501162,0.018294167],"category_scores_gemma":[0.035111666,0.0006344948,0.0018614038,0.0014850808,0.0018209794,0.0057605198,0.0015911706,0.0045821522,0.00953297],"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":[0.00016670398,0.00005843952,0.0011195291,0.0010711676,0.00010423586,0.00097053126,0.0003853889,0.0036538728,0.0020963736,0.3986617,0.5044283,0.08728374],"study_design_scores_gemma":[0.00009139797,0.000101355676,0.0019778993,0.0005770448,0.0001995299,0.0025696012,0.00019152494,0.046463463,0.005354508,0.5639928,0.37815857,0.00032222382],"about_ca_topic_score_codex":0.0021789104,"about_ca_topic_score_gemma":0.0025959602,"teacher_disagreement_score":0.018294167,"about_ca_system_score_codex":0.0015427558,"about_ca_system_score_gemma":0.001180078,"threshold_uncertainty_score":0.061200023},"labels":[],"label_agreement":null}]}