{"meta":{"query_hash":"b58f14a6246f","filters":{"venue":"Statistical Methodology"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"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/b58f14a6246f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Statistical+Methodology"},"results":[{"id":"W1979508532","doi":"10.1016/j.stamet.2011.05.002","title":"On simultaneous closeness probabilities of order statistics from odd sample sizes to the population median","year":2011,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","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":"McMaster University","funders":"","keywords":"Mathematics; Order statistic; Statistics; Statistic; Closeness; Sample (material); Location parameter; Population; Sufficient statistic; Sample size determination; Sample mean and sample covariance; Percentile; Combinatorics; Probability distribution; Mathematical analysis; Demography","score_opus":0.2884972951736773,"score_gpt":0.4353321495979212,"score_spread":0.14683485442424393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979508532","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006731617,0.0000039951356,0.9750645,0.0005044887,0.00020515744,0.0005910077,0.016495604,0.0000666209,0.0003369647],"genre_scores_gemma":[0.31209898,0.0000014081266,0.68700117,0.00024074462,0.000037698428,0.000095311574,0.0004774261,0.000018306102,0.00002894797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973299,0.0009919936,0.000699788,0.000357016,0.00031961343,0.00030170075],"domain_scores_gemma":[0.9240355,0.07483592,0.00018232015,0.0004389573,0.00034409444,0.00016323998],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006986959,0.00020132093,0.00045235016,0.00006392702,0.00014108508,0.000014368902,0.0002598114,0.000120326156,0.0037115244],"category_scores_gemma":[0.09635118,0.0001472282,0.000036042857,0.00027334146,0.00032326774,0.00002517023,0.00006256508,0.00018814193,0.000103703336],"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":[0.0001475539,0.00016989317,0.00012134478,0.00004185321,0.000033163127,0.0000031247987,0.00075243926,0.00007816589,0.000035386794,0.9743473,0.00138348,0.022886273],"study_design_scores_gemma":[0.00022743976,0.00021277269,0.013875047,0.000015289783,0.00008439532,0.0000018906012,0.00022553983,0.005744219,0.0002783739,0.97894776,0.00022478022,0.00016247877],"about_ca_topic_score_codex":0.0012835753,"about_ca_topic_score_gemma":0.0005705004,"teacher_disagreement_score":0.30536738,"about_ca_system_score_codex":0.000051300984,"about_ca_system_score_gemma":0.000056600857,"threshold_uncertainty_score":0.99719924},"labels":[],"label_agreement":null},{"id":"W1986090503","doi":"10.1016/j.stamet.2011.06.003","title":"An extension of the generalized exponential distribution","year":2011,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":23,"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 New Brunswick","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Mathematics; Exponential family; Natural exponential family; Bathtub; Exponential function; Extension (predicate logic); Hazard; Exponential distribution; Generalized integer gamma distribution; Shape parameter; Distribution (mathematics); Gamma distribution; Class (philosophy); Applied mathematics; Flexibility (engineering); Statistics; Mathematical analysis; Computer science","score_opus":0.4581731734034218,"score_gpt":0.47092123989572826,"score_spread":0.012748066492306476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986090503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02957912,0.0000044014123,0.9681428,0.000103096296,0.00019014857,0.00022194124,0.0012187996,0.000051048737,0.00048865576],"genre_scores_gemma":[0.512295,0.0000011822125,0.48744425,0.000052140535,0.000020506945,0.000027802442,0.00013141337,0.000007464982,0.000020249496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774116,0.0011817061,0.0004545985,0.0002393933,0.00018456386,0.00019859477],"domain_scores_gemma":[0.99721956,0.0018581756,0.00017286945,0.0004585703,0.00018222391,0.000108591936],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074645155,0.00011187844,0.00025877493,0.000020240424,0.00012099702,0.000005559824,0.00021949316,0.00009924481,0.0017402485],"category_scores_gemma":[0.0058997297,0.00007834635,0.000058876823,0.00017220431,0.0004269021,0.000039817285,0.000050809034,0.00012828533,0.000020889764],"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":[0.000058152324,0.00019931092,0.00008502195,0.000016270475,0.000010787724,0.0000010582573,0.00010187156,8.0898775e-7,0.0058887657,0.9879678,0.0013640163,0.004306176],"study_design_scores_gemma":[0.00030560375,0.00007914306,0.070771314,0.0000063266502,0.000078454774,0.000011561855,0.000053072272,0.0025262365,0.009388247,0.9165067,0.00017714899,0.00009620319],"about_ca_topic_score_codex":0.000055940294,"about_ca_topic_score_gemma":0.000007688035,"teacher_disagreement_score":0.48271587,"about_ca_system_score_codex":0.000023174678,"about_ca_system_score_gemma":0.000036080808,"threshold_uncertainty_score":0.9991723},"labels":[],"label_agreement":null},{"id":"W2023841585","doi":"10.1016/j.stamet.2011.08.005","title":"Estimation for the three-parameter gamma distribution based on progressively censored data","year":2011,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Gamma distribution; Statistics; Estimation; Generalized gamma distribution; Distribution (mathematics); Econometrics; Applied mathematics; Mathematical analysis","score_opus":0.561611195469597,"score_gpt":0.493484992763628,"score_spread":0.06812620270596903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023841585","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009054855,0.000007904486,0.98468524,0.0011126964,0.00021660244,0.0012070877,0.012246615,0.0001276191,0.00030568658],"genre_scores_gemma":[0.10879656,9.24355e-7,0.88675094,0.00028131725,0.000055579745,0.00059821416,0.0034655528,0.00002346914,0.00002745591],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978315,0.00051429344,0.00051911065,0.0005085227,0.00025356436,0.0003729765],"domain_scores_gemma":[0.9649084,0.03362365,0.00021871708,0.00092210073,0.00019873382,0.0001283587],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001532255,0.00020907813,0.00031286798,0.000037457183,0.00030396722,0.000036444562,0.0005146672,0.00013801543,0.00068149104],"category_scores_gemma":[0.045620415,0.00014528784,0.000055878463,0.00018925463,0.0004737668,0.00006769547,0.00007962142,0.00020843132,0.00007478698],"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":[0.00022483626,0.0002030354,0.000031230502,0.0000430404,0.000028808796,0.0000017948697,0.00002489009,0.000017835135,0.0000093077815,0.9035135,0.015235465,0.080666244],"study_design_scores_gemma":[0.0003782988,0.00013794811,0.008324263,0.000010728422,0.00013581643,0.0000034781096,0.000014455484,0.485776,0.00013496635,0.50400466,0.00096496625,0.00011438582],"about_ca_topic_score_codex":0.000017223423,"about_ca_topic_score_gemma":0.000012568061,"teacher_disagreement_score":0.4857582,"about_ca_system_score_codex":0.00005134244,"about_ca_system_score_gemma":0.000071525,"threshold_uncertainty_score":0.96241874},"labels":[],"label_agreement":null},{"id":"W2036315499","doi":"10.1016/j.stamet.2013.07.005","title":"Uniformly most powerful test with two-dimensional minimal sufficient statistic","year":2013,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","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":"McMaster University","funders":"","keywords":"Mathematics; Statistic; Test statistic; Statistics; Statistical hypothesis testing; Test (biology); Applied mathematics","score_opus":0.18925419854537368,"score_gpt":0.4645147653321052,"score_spread":0.2752605667867315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036315499","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02295136,0.00005508207,0.9708981,0.00064375653,0.0006373578,0.00048802132,0.0007329316,0.000103528284,0.0034898827],"genre_scores_gemma":[0.32471818,7.4058903e-7,0.6736871,0.000392336,0.00011748884,0.000049982904,0.00003405585,0.00003946229,0.0009606797],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9924965,0.0014578417,0.0014117303,0.0013709558,0.0020666774,0.001196311],"domain_scores_gemma":[0.89459544,0.102231055,0.00038762254,0.0007246199,0.0013443372,0.00071689324],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0033781733,0.00047438842,0.00096307474,0.00033215643,0.00030975204,0.00024947655,0.0008516779,0.00015020069,0.0066749747],"category_scores_gemma":[0.09636115,0.00032242955,0.000053627962,0.0011080136,0.0014609377,0.00038748805,0.00033647835,0.00065565377,0.003316212],"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":[0.0008315641,0.00083354523,0.020994028,0.00006678707,0.00011058004,0.0008648694,0.0006847908,0.0069934367,0.0052851313,0.70358855,0.024198446,0.2355483],"study_design_scores_gemma":[0.0017513271,0.002223418,0.069224924,0.00003432042,0.000075552925,0.00028220456,0.0009290481,0.029162336,0.00057036977,0.89304894,0.0018334513,0.0008640973],"about_ca_topic_score_codex":0.00022115784,"about_ca_topic_score_gemma":0.00006487362,"teacher_disagreement_score":0.3017668,"about_ca_system_score_codex":0.00013168615,"about_ca_system_score_gemma":0.00033751133,"threshold_uncertainty_score":0.99992275},"labels":[],"label_agreement":null},{"id":"W2037623492","doi":"10.1016/j.stamet.2009.08.001","title":"Exact distribution of a linear combination of a variable and order statistics from the other two variables of a trivariate elliptical random vector as a mixture of skew-elliptical distributions","year":2009,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Elliptical distribution; Univariate; Univariate distribution; Skew; Order statistic; Inverse distribution; Noncentral chi-squared distribution; Distribution (mathematics); Cumulative distribution function; Random variable; Statistics; Skew normal distribution; Variable (mathematics); Heavy-tailed distribution; Applied mathematics; Multivariate statistics; Mathematical analysis; Ratio distribution; Multivariate normal distribution; Probability density function; Asymptotic distribution","score_opus":0.08363454221496563,"score_gpt":0.4056946149940501,"score_spread":0.32206007277908444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037623492","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007382627,0.00005264032,0.95642054,0.0006033516,0.00006561754,0.000575271,0.03470179,0.000023483406,0.00017466574],"genre_scores_gemma":[0.4080759,0.000014621844,0.5907263,0.00003672674,0.000027908618,0.0000236025,0.0010706608,0.00001179621,0.00001247147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959918,0.0014687539,0.0014508233,0.00035019574,0.00043301246,0.0003053746],"domain_scores_gemma":[0.96614206,0.031718634,0.00065631256,0.00042448248,0.0009127662,0.00014577153],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0016440817,0.00025238984,0.0010621415,0.00005510515,0.00010658885,0.000010881805,0.00023420718,0.00023172118,0.00076963636],"category_scores_gemma":[0.036159698,0.000194034,0.00008120302,0.000571919,0.0010667259,0.000049653485,0.000061896004,0.0003015987,0.0000042568454],"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":[0.00062004896,0.001024229,0.00008389905,0.00013300712,0.0001349074,0.0000012159899,0.0001673291,0.000020312293,0.006514856,0.98878264,0.0006439728,0.0018735892],"study_design_scores_gemma":[0.0028541563,0.00056086096,0.010556159,0.00008728884,0.0006241453,0.000008453014,0.000062301646,0.021373522,0.0037245243,0.9597669,0.0002155324,0.00016611059],"about_ca_topic_score_codex":0.00047486855,"about_ca_topic_score_gemma":0.000011227163,"teacher_disagreement_score":0.40069327,"about_ca_system_score_codex":0.000039216473,"about_ca_system_score_gemma":0.00020447106,"threshold_uncertainty_score":0.9719591},"labels":[],"label_agreement":null},{"id":"W2040323067","doi":"10.1016/j.stamet.2010.01.003","title":"Inference from multiple imputation for missing data using mixtures of normals","year":2010,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Science Foundation; National Institutes of Health; National Cancer Institute; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Imputation (statistics); Mathematics; Missing data; Inference; Statistics; Econometrics; Artificial intelligence; Computer science","score_opus":0.28388855350707864,"score_gpt":0.4631346471876172,"score_spread":0.17924609368053857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040323067","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035475593,0.000059868114,0.9945123,0.00019618141,0.00085282867,0.000193793,0.00055888045,0.00003571812,0.00004283433],"genre_scores_gemma":[0.086695485,0.0000019215859,0.9129279,0.00015684316,0.00012182157,0.0000054162606,0.000077490186,0.000010114461,0.0000030015246],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977678,0.00085779483,0.00041368217,0.00054133934,0.00013245031,0.00028695635],"domain_scores_gemma":[0.97957075,0.019137662,0.00019587572,0.00083156023,0.00015065532,0.00011351975],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0022282314,0.00013849456,0.00038752772,0.00007533028,0.00008599124,0.000046943056,0.0009564136,0.00016984987,0.000027316859],"category_scores_gemma":[0.0136563955,0.00012179516,0.00003470533,0.00012505734,0.00016713818,0.00026728987,0.00038195885,0.00023716084,0.0000012216808],"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":[0.000028897375,0.000024232546,0.00014342536,0.000024299054,0.000020872913,0.0000028762204,0.00019739188,0.000015597441,0.24863459,0.2767994,0.00007131509,0.4740371],"study_design_scores_gemma":[0.00024038325,0.000041984797,0.000860672,0.000006967526,0.000029164947,0.000005986693,0.0000030954918,0.444353,0.016262144,0.53795546,0.00013910058,0.00010198783],"about_ca_topic_score_codex":0.00033265827,"about_ca_topic_score_gemma":0.000055917386,"teacher_disagreement_score":0.47393513,"about_ca_system_score_codex":0.0000058497812,"about_ca_system_score_gemma":0.00013710189,"threshold_uncertainty_score":0.994652},"labels":[],"label_agreement":null},{"id":"W2048197593","doi":"10.1016/j.stamet.2011.01.005","title":"Adjusting for network size and composition effects in exponential-family random graph models","year":2011,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Drug Abuse; Office of Naval Research; Fundação para a Ciência e a Tecnologia; National Sanitarium Association; University of Washington; National Institutes of Health; National Science Foundation","keywords":"Homophily; Random graph; Exponential random graph models; Graph; Social network (sociolinguistics); Random walk; Offset (computer science); Network model; Composition (language)","score_opus":0.1131982019369454,"score_gpt":0.3437420514407053,"score_spread":0.2305438495037599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048197593","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028327461,0.00012042041,0.9699776,0.000010634133,0.000102985505,0.00044894344,0.000022935754,0.000039279814,0.00094971823],"genre_scores_gemma":[0.49701557,0.0000027321878,0.50269735,0.000037079284,0.000102453465,0.00011005305,0.000021526654,0.000010012044,0.0000032215162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99786216,0.0010663783,0.00033727355,0.00031470612,0.00006083833,0.00035861507],"domain_scores_gemma":[0.9891047,0.010550283,0.00009573321,0.00013461596,0.00004168583,0.00007297072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011436079,0.00015791434,0.00052835705,0.00006052503,0.000084911284,0.000012620358,0.000087926615,0.000058933172,0.00006805733],"category_scores_gemma":[0.00013145013,0.00014934182,0.00007480742,0.00013924371,0.00011987283,0.000053666077,0.00006768736,0.00014990139,9.0155817e-7],"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":[0.00062694924,0.00008630409,0.0031233777,0.000047165722,0.00011249485,0.000005419782,0.00025968463,0.0006427204,0.0018162074,0.9446936,0.00033355108,0.048252482],"study_design_scores_gemma":[0.0012923055,0.00012052358,0.010844438,0.00003124637,0.00012626925,9.2276866e-7,0.00003140432,0.032802917,0.0003041205,0.95428073,0.00001120041,0.00015394182],"about_ca_topic_score_codex":0.0003409173,"about_ca_topic_score_gemma":0.000014783063,"teacher_disagreement_score":0.46868813,"about_ca_system_score_codex":0.0000092726605,"about_ca_system_score_gemma":0.000011112144,"threshold_uncertainty_score":0.6089983},"labels":[],"label_agreement":null},{"id":"W2051299125","doi":"10.1016/j.stamet.2013.05.001","title":"Estimators based on trimmed Kendall’s tau in multivariate copula models","year":2013,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Copula (linguistics); Mathematics; Multivariate statistics; Estimator; Statistics; Dependency (UML); Econometrics; Inference; Multivariate normal distribution; Computer science","score_opus":0.22041498846812355,"score_gpt":0.3426347731859698,"score_spread":0.12221978471784625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051299125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04402885,0.00008927012,0.9509618,0.00052252307,0.0004170818,0.0003591805,0.00024029941,0.000038701764,0.0033422518],"genre_scores_gemma":[0.5776462,0.000007220693,0.4217757,0.00038359337,0.000026829355,0.00006662594,0.000022980063,0.000019753745,0.000051077666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976365,0.0003357662,0.0008706915,0.0005948315,0.000048573358,0.0005136621],"domain_scores_gemma":[0.99643785,0.0028958898,0.00017002274,0.00031917446,0.000038985934,0.0001381063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017696109,0.00020638463,0.00073473837,0.0003232192,0.00006434851,0.00003107041,0.00019144361,0.00023169939,0.00083265215],"category_scores_gemma":[0.0048986985,0.00022287482,0.00007107983,0.00021887061,0.00011580034,0.0001311741,0.000042577656,0.0003669565,0.00054549886],"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":[0.00012712245,0.00015714901,0.00827418,0.000031268402,0.000009789985,0.000010916285,0.00020710938,0.020835537,0.000026239199,0.95676607,0.00034680797,0.013207816],"study_design_scores_gemma":[0.0005615534,0.000079665544,0.0319855,0.000007644054,0.0000020824777,4.306759e-7,0.0000093109265,0.5301342,0.000010897887,0.43693185,0.00014138894,0.00013544435],"about_ca_topic_score_codex":0.00525928,"about_ca_topic_score_gemma":0.000066268265,"teacher_disagreement_score":0.5336174,"about_ca_system_score_codex":0.000109171364,"about_ca_system_score_gemma":0.000044351862,"threshold_uncertainty_score":0.9116957},"labels":[],"label_agreement":null},{"id":"W2071981283","doi":"10.1016/j.stamet.2008.05.003","title":"Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments","year":2008,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"D-Wave Systems (Canada)","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Nature","keywords":"Sample size determination; Statistical power; Functional magnetic resonance imaging; Sample (material); Mathematics; Statistical hypothesis testing; Multiple comparisons problem; Power (physics); Statistics; Range (aeronautics); Artificial intelligence; Computer science; Psychology; Neuroscience","score_opus":0.4576372935241438,"score_gpt":0.4232225899369432,"score_spread":0.03441470358720056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071981283","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2462008,0.0000152238945,0.7519329,0.00070992816,0.00016874883,0.00035692478,0.00028089533,0.00004395063,0.00029061452],"genre_scores_gemma":[0.465062,0.0000019676784,0.5343882,0.00042905193,0.000024931016,0.00007180507,7.7254697e-7,0.000009038399,0.000012250554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786574,0.00097226334,0.00024886813,0.00049062574,0.00013094992,0.0002915345],"domain_scores_gemma":[0.63226163,0.3675359,0.000050660296,0.000079584395,0.000025689445,0.000046539346],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006469725,0.00013128361,0.00035328369,0.0000797503,0.00021105711,0.000009133926,0.00008610472,0.000070371265,0.00004420834],"category_scores_gemma":[0.46207282,0.00012922761,0.000022146422,0.0001525205,0.0004347256,0.000059999966,0.00008177698,0.00011827953,0.0000050784424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009242018,0.00071319076,0.58138424,0.00014543772,0.00006110429,0.00012724534,0.002634182,0.000015178182,0.23467994,0.07374524,0.00913268,0.096437365],"study_design_scores_gemma":[0.00093647646,0.0007568478,0.84969777,0.0000081658445,0.00001830921,0.000041200867,0.000096855874,0.0006958007,0.01442174,0.1321398,0.00095398107,0.00023302155],"about_ca_topic_score_codex":0.00010364766,"about_ca_topic_score_gemma":0.000037898622,"teacher_disagreement_score":0.46142584,"about_ca_system_score_codex":0.000043153723,"about_ca_system_score_gemma":0.000019974877,"threshold_uncertainty_score":0.54245836},"labels":[],"label_agreement":null},{"id":"W2072575924","doi":"10.1016/j.stamet.2007.02.002","title":"A non-parametric estimator for the doubly periodic Poisson intensity function","year":2007,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mathematics; Estimator; Poisson distribution; Applied mathematics; Parametric statistics; Minimum-variance unbiased estimator; Bounded function; Function (biology); Realization (probability); Series (stratigraphy); Consistent estimator; Delta method; Statistics; Mathematical analysis","score_opus":0.4181133902442853,"score_gpt":0.5053530557115378,"score_spread":0.08723966546725248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072575924","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021909516,0.00012745276,0.9730257,0.0021737278,0.0018071051,0.0005555858,0.0000651672,0.00003888873,0.00029688628],"genre_scores_gemma":[0.47397968,0.0000035328678,0.5248085,0.0008565547,0.00012760585,0.000028013967,0.0000045092393,0.000008582759,0.00018300358],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967266,0.0006836098,0.00078386033,0.00065352826,0.0006152518,0.00053718255],"domain_scores_gemma":[0.9124807,0.08587776,0.00019735224,0.00063199963,0.0006162736,0.00019587931],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.028314434,0.00016685746,0.0005257958,0.0002580887,0.0004678422,0.00010721493,0.0005641052,0.00020906236,0.0002848759],"category_scores_gemma":[0.08625965,0.00009179221,0.00014381846,0.0008389818,0.00070937356,0.00010706354,0.00014577559,0.00033998946,0.00019714038],"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":[0.0038794228,0.00013317607,0.0031807653,0.000020151105,0.000064659725,0.00001519038,0.0005097905,0.00050683843,0.00046902936,0.4142658,0.011466936,0.5654882],"study_design_scores_gemma":[0.00046213428,0.00048756145,0.095859714,0.0000026432715,0.00007271088,0.000034793604,0.00035971156,0.03939224,0.00022497046,0.8540225,0.00894377,0.00013725743],"about_ca_topic_score_codex":0.0001560902,"about_ca_topic_score_gemma":0.00010986751,"teacher_disagreement_score":0.56535095,"about_ca_system_score_codex":0.000056692978,"about_ca_system_score_gemma":0.00010387232,"threshold_uncertainty_score":0.9813274},"labels":[],"label_agreement":null},{"id":"W2079756289","doi":"10.1016/j.stamet.2013.01.002","title":"Group heterogeneity in the Jolly–Seber-Tag-Loss model","year":2013,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Census and Population Estimation","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Western Canada Research Grid; Compute Canada","keywords":"Mathematics; Statistics","score_opus":0.34023511992437633,"score_gpt":0.46510595988048586,"score_spread":0.12487083995610954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079756289","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19758327,0.000010810416,0.800237,0.00089041935,0.000099264,0.00031030577,0.0000335705,0.000027926113,0.00080745487],"genre_scores_gemma":[0.43872848,0.0000022608967,0.5607227,0.0003864262,0.000034702378,0.00006161811,0.000021719305,0.000009805692,0.000032284344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99735874,0.0015472703,0.0004119144,0.00021925013,0.00017780859,0.0002850177],"domain_scores_gemma":[0.99247843,0.0070376154,0.00008697703,0.0002839676,0.000054580756,0.000058435686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001772637,0.00012903388,0.00027654372,0.000057004745,0.000070407914,0.000023983881,0.00017178133,0.00011742121,0.0004104221],"category_scores_gemma":[0.0036460212,0.00008828988,0.000041007486,0.00011627264,0.000117341486,0.00007148689,0.000040785108,0.00021756072,0.00009732896],"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":[0.000015657652,0.0000762788,0.0026621819,0.00003452786,0.000008171073,0.000005741228,0.00042828557,0.00015678626,0.00019831878,0.9836964,0.002094482,0.010623181],"study_design_scores_gemma":[0.0002286676,0.000038977538,0.045153547,0.0000043633045,0.0000176615,0.00002149662,0.000035292014,0.081849,0.000025821948,0.8724203,0.00010927535,0.00009561757],"about_ca_topic_score_codex":0.00020631056,"about_ca_topic_score_gemma":0.0002655538,"teacher_disagreement_score":0.24114522,"about_ca_system_score_codex":0.000029154644,"about_ca_system_score_gemma":0.000015162008,"threshold_uncertainty_score":0.44938344},"labels":[],"label_agreement":null},{"id":"W2083828359","doi":"10.1016/j.stamet.2013.06.002","title":"Partial or complete characterization of a bivariate distribution based on one conditional distribution and partial specification of the mode function of the other conditional distribution","year":2013,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","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":"McMaster University","funders":"","keywords":"Mathematics; Joint probability distribution; Bivariate analysis; Conditional probability distribution; Marginal distribution; Distribution (mathematics); Normal-gamma distribution; Discrete mathematics; Statistics; Combinatorics; Random variable; Mathematical analysis; Asymptotic distribution","score_opus":0.22301062034127256,"score_gpt":0.39024487850148765,"score_spread":0.1672342581602151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083828359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041366804,0.0000011730034,0.8992788,0.0011314201,0.00016405922,0.00084714394,0.05715848,0.000023403127,0.000028709186],"genre_scores_gemma":[0.97103375,0.0000016119059,0.011464664,0.00010476781,0.00007112711,0.00016820144,0.01712165,0.000014164001,0.000020060368],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9967187,0.0011146845,0.0010513561,0.0003224733,0.00054646644,0.00024632266],"domain_scores_gemma":[0.99412346,0.0039088856,0.00089506974,0.00038320918,0.000596742,0.000092644754],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007421422,0.00020201279,0.00042798344,0.00003657784,0.00022251009,0.000017135993,0.00017730978,0.00018550329,0.0010246658],"category_scores_gemma":[0.004874506,0.0001376774,0.00010325944,0.00042264664,0.0010670584,0.000091953574,0.000057221823,0.00021898028,0.0000109349],"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":[0.0003877679,0.0004154619,0.00032513792,0.00010996085,0.000040958443,8.671413e-8,0.000020783888,0.0000815042,0.029343732,0.9676343,0.00053673977,0.00110354],"study_design_scores_gemma":[0.0010091271,0.00022275836,0.552023,0.00007249093,0.00022358453,0.000003968153,0.000028079301,0.08162318,0.020672634,0.34330213,0.0006533136,0.00016572955],"about_ca_topic_score_codex":0.00007748073,"about_ca_topic_score_gemma":0.000007396071,"teacher_disagreement_score":0.92966694,"about_ca_system_score_codex":0.000102811224,"about_ca_system_score_gemma":0.00010908165,"threshold_uncertainty_score":0.99988854},"labels":[],"label_agreement":null},{"id":"W2090191561","doi":"10.1016/j.stamet.2005.10.001","title":"Classification with multiple independent measurements under a separate sampling scheme","year":2005,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":2,"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":"Mathematics; Statistics; Monte Carlo method; Sampling (signal processing); Classification scheme; Scheme (mathematics); Bayes' theorem; Population; Type (biology); Bayesian probability; Machine learning; Mathematical analysis; Computer science; Demography","score_opus":0.7303954413606228,"score_gpt":0.5658029287378694,"score_spread":0.16459251262275343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090191561","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012344439,0.000061308645,0.9848791,0.00067220273,0.0003024958,0.00025066634,0.00006874624,0.0000819864,0.0013390589],"genre_scores_gemma":[0.44951642,0.0000016716918,0.5499711,0.00018092562,0.000120785626,0.000033734836,0.00000820421,0.00001817165,0.00014897813],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9942469,0.0014661637,0.00094457844,0.001014316,0.0016891339,0.0006388795],"domain_scores_gemma":[0.97746986,0.020672074,0.00032378806,0.0005529795,0.0006552232,0.00032609413],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0051553557,0.00026853854,0.00055201404,0.00020673155,0.0002518777,0.00013176556,0.0005536802,0.00015701762,0.00054139656],"category_scores_gemma":[0.03335596,0.00019627651,0.000042092495,0.000532018,0.000394735,0.00032211407,0.00013522858,0.0004567433,0.00060060417],"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":[0.0014809188,0.00034373795,0.07065412,0.000033123673,0.00015694862,0.000030457162,0.00052406534,0.014142055,0.03838357,0.35792914,0.0006874969,0.51563436],"study_design_scores_gemma":[0.002316453,0.00040756466,0.27719548,0.00003392019,0.00007372586,0.00006040624,0.0011336934,0.04777376,0.00325435,0.66016495,0.006814758,0.000770952],"about_ca_topic_score_codex":0.000017897952,"about_ca_topic_score_gemma":0.00013161203,"teacher_disagreement_score":0.51486343,"about_ca_system_score_codex":0.00019210613,"about_ca_system_score_gemma":0.00013059823,"threshold_uncertainty_score":0.9747865},"labels":[],"label_agreement":null},{"id":"W2091723435","doi":"10.1016/j.stamet.2010.07.004","title":"An odd property of sample median from odd sample sizes","year":2010,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Sample (material); Counterexample; Sample size determination; Statistics; Sample mean and sample covariance; Closeness; Property (philosophy); Distribution (mathematics); Population; Large sample; Probabilistic logic; Combinatorics; Demography; Mathematical analysis","score_opus":0.0930813728022253,"score_gpt":0.3770364275727918,"score_spread":0.28395505477056654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091723435","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019761333,0.000028138204,0.9946506,0.00082100695,0.0012067782,0.0001789826,0.00064495485,0.00009900263,0.00039438478],"genre_scores_gemma":[0.02819949,0.000007452047,0.9709492,0.0005135844,0.00022643771,0.000019192881,0.00004798372,0.000019246098,0.000017414472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99565446,0.002419417,0.00048105515,0.0007104777,0.00025778599,0.00047681975],"domain_scores_gemma":[0.97792864,0.020399394,0.00014189695,0.0010229959,0.00014986953,0.00035722763],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0024140915,0.0002186446,0.0006213267,0.000094437026,0.000089241985,0.000048427042,0.001098792,0.00026037663,0.00083102833],"category_scores_gemma":[0.0120543195,0.00014720843,0.00006608794,0.00021264654,0.00043012737,0.00019900367,0.00021164028,0.0005080473,0.0000144506985],"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":[0.000024283812,0.00006231422,0.0002448605,0.000010363703,0.000016740196,0.000007959854,0.00042680663,6.890018e-7,0.027007854,0.50578564,0.00020758732,0.4662049],"study_design_scores_gemma":[0.00029949733,0.00030617008,0.004282139,0.0000054022803,0.000024202474,0.000010348875,0.000014335441,0.016907295,0.009731036,0.9658348,0.00235738,0.00022736788],"about_ca_topic_score_codex":0.0037052736,"about_ca_topic_score_gemma":0.00080612727,"teacher_disagreement_score":0.46597755,"about_ca_system_score_codex":0.000010352531,"about_ca_system_score_gemma":0.00015496636,"threshold_uncertainty_score":0.99626756},"labels":[],"label_agreement":null},{"id":"W2137357932","doi":"10.1016/j.stamet.2008.05.004","title":"Inference for the positive stable laws based on a special quadratic distance","year":2008,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Quadratic equation; Estimator; Inference; Parametric statistics; Applied mathematics; Indirect Inference; Statistical inference; Nominal level; Simple (philosophy); Mathematical optimization; Statistics; Computer science","score_opus":0.35609964815083245,"score_gpt":0.4846504378333115,"score_spread":0.12855078968247907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137357932","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010298754,0.0000061462633,0.9904556,0.002043358,0.00017815459,0.0007031069,0.0031218105,0.000058398313,0.003330387],"genre_scores_gemma":[0.16095957,0.000003746372,0.8368137,0.0009747457,0.00024356208,0.0004777996,0.00016956589,0.000019536725,0.00033780865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981803,0.00055501366,0.00039340835,0.0003109347,0.0002298331,0.00033050004],"domain_scores_gemma":[0.9276568,0.07162845,0.00011218119,0.0003025121,0.00018888182,0.00011115745],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006890905,0.00016839764,0.0003245362,0.000034677578,0.0004753762,0.000021157835,0.00019420846,0.000082900886,0.0012273289],"category_scores_gemma":[0.026530242,0.000120309225,0.00006168307,0.00018737566,0.00057211786,0.000029683904,0.000022124941,0.00019985021,0.000087213506],"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":[0.00015506597,0.0001400008,0.00002208916,0.000025467336,0.000014979503,0.0000049866508,0.000089801164,0.00007034873,0.000023950208,0.9813223,0.014804371,0.0033266686],"study_design_scores_gemma":[0.0006445017,0.00022440297,0.0063118353,0.0000149237385,0.00007129932,0.000007971692,0.00006157681,0.08961365,0.00018640434,0.8975898,0.005090316,0.00018329555],"about_ca_topic_score_codex":0.000014271661,"about_ca_topic_score_gemma":0.000025709194,"teacher_disagreement_score":0.16085657,"about_ca_system_score_codex":0.0000666094,"about_ca_system_score_gemma":0.0001267597,"threshold_uncertainty_score":0.9996857},"labels":[],"label_agreement":null}]}