{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"40e43f125356","filters":{"venue":"Emerging topics in statistics and biostatistics"}},"results":[{"id":"W3148557901","doi":"10.1007/978-3-030-62900-7_1","title":"A Record-Based Transmuted Family of Distributions","year":2020,"lang":"en","type":"book-chapter","venue":"Emerging topics in statistics and biostatistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Generalization; Mathematics; Order statistic; Quadratic equation; Statistics; Rank (graph theory); Combinatorics; Mathematical analysis","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Mu He","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07553422323963772,"gpt":0.3443725133136522,"spread":0.2688382900740145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001591105,0.0003948305,0.0006979735,0.0001545274,0.0001141251,0.00003719849,0.0001899803,0.000260517,0.0004561484],"category_scores_gemma":[0.000948464,0.0004254453,0.0000750405,0.0001400384,0.0003805196,0.00002331739,0.00005599033,0.0004710266,0.0000113743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008703629,"about_ca_system_score_gemma":0.0001863378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002728238,"about_ca_topic_score_gemma":0.00005691911,"domain_scores_codex":[0.9977247,0.00003720382,0.001152453,0.0004482234,0.0003824324,0.0002550431],"domain_scores_gemma":[0.9975072,0.00119204,0.0004774184,0.0003249018,0.0003105081,0.0001879026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001769872,0.00006326181,0.00002533774,0.0004836673,0.00003842283,0.00002766182,0.000052748,0.000004103864,0.00001614967,0.9688662,0.01806184,0.01234289],"study_design_scores_gemma":[0.0006201874,0.0001103496,0.0006776734,0.0002897781,0.0002160993,0.000002183842,0.00002153511,0.01890787,0.00002124006,0.9053146,0.07334669,0.0004717943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002141581,0.00009429027,0.9254693,0.0008560646,0.0001410553,0.00041992,0.05187016,0.00005133597,0.02107641],"genre_scores_gemma":[0.01398049,0.0005570952,0.9644357,0.0003514756,0.0001658121,0.00005685956,0.01013188,0.0001308794,0.01018982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06355162,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3141140181","doi":"10.1007/978-3-030-62900-7","title":"Advances in Statistics - Theory and Applications","year":2021,"lang":"en","type":"book","venue":"Emerging topics in statistics and biostatistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Statistics; Computer science; Data science; Econometrics; Mathematics","authors":[{"name":"Indranil Ghosh","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Hon Keung Tony Ng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03138281150198827,"gpt":0.3713384112434343,"spread":0.339955599741446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006094725,0.000501838,0.00076569,0.0002859019,0.0001883123,0.0001367715,0.0001955058,0.0003238495,0.0003888732],"category_scores_gemma":[0.001927996,0.0005546478,0.00003041566,0.0002731004,0.0005180476,0.00008133821,0.0001903086,0.000721874,0.000009622867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133719,"about_ca_system_score_gemma":0.0003251774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265408,"about_ca_topic_score_gemma":0.0004097483,"domain_scores_codex":[0.9970404,0.0001886914,0.001167124,0.0007355439,0.0004092189,0.0004590072],"domain_scores_gemma":[0.9943725,0.004311035,0.0004034383,0.0004334767,0.0002755487,0.0002040172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001161626,0.00009743214,0.0001109148,0.000814979,0.00001698201,0.00006715849,0.0001580562,0.000004958772,8.499446e-7,0.8994777,0.0173949,0.08184447],"study_design_scores_gemma":[0.0004511764,0.00003199855,0.0007131117,0.0002646609,0.00009107609,0.00001520406,0.0001205997,0.002042738,0.000001465524,0.8156977,0.180082,0.0004882865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000006598808,0.002672388,0.948263,0.0001461892,0.0001524864,0.00070978,0.02133824,0.00004239543,0.02666892],"genre_scores_gemma":[0.0005536856,0.02805475,0.8611504,0.0004493231,0.000479422,0.0005079483,0.01342636,0.0001947692,0.09518335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1626871,"threshold_uncertainty_score":0.9996905,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3207022311","doi":"10.1007/978-3-030-72437-5_5","title":"A Review of Multiply Robust Estimation with Missing Data","year":2021,"lang":"en","type":"review","venue":"Emerging topics in statistics and biostatistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Imputation (statistics); Missing data; Weighting; Propensity score matching; Robustness (evolution); Computer science; Statistics; National Health and Nutrition Examination Survey; Econometrics; Data mining; Mathematics; Medicine; Population","authors":[{"name":"Sixia Chen","is_ca":false},{"name":"David Haziza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3476090923314047,"gpt":0.5043437967085805,"spread":0.1567347043771758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006995075,0.0004713575,0.002037946,0.0001773625,0.00006371293,0.00004827522,0.0004283629,0.0001834182,0.00005385072],"category_scores_gemma":[0.004727372,0.0003888025,0.00004419184,0.0004384119,0.0001900593,0.0000970324,0.0003968778,0.0004947647,5.594187e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008528009,"about_ca_system_score_gemma":0.000366301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003124004,"about_ca_topic_score_gemma":0.00005799082,"domain_scores_codex":[0.9971833,0.000214266,0.001385177,0.0005861419,0.0003363102,0.0002947859],"domain_scores_gemma":[0.9956074,0.001940017,0.001029587,0.001060771,0.0002800999,0.0000821634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001111843,0.00004690492,0.000002801375,0.1639778,0.00005155531,0.00007069205,0.00003482981,0.000001251152,3.780987e-8,0.06215988,0.006001547,0.7676516],"study_design_scores_gemma":[0.0001764363,0.00008840038,0.000001407786,0.3873236,0.001186665,0.00008053684,0.00002695732,0.005921158,9.640601e-7,0.03881282,0.5657091,0.0006720586],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.023019e-8,0.5475923,0.4495327,0.00002489962,0.00004956702,0.0003777175,0.002336454,0.00002218876,0.000064104],"genre_scores_gemma":[6.214047e-8,0.5082614,0.4897445,0.00002885954,0.00002492839,0.00001432065,0.001864813,0.00003583818,0.00002530398],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7669796,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3048908525","doi":"10.1007/978-3-030-42196-0_12","title":"Optimal Allocation for Extreme Value Regression Under Time Censoring","year":2020,"lang":"en","type":"book-chapter","venue":"Emerging topics in statistics and biostatistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Censoring (clinical trials); Estimator; Fisher information; Delta method; Mathematics; Covariance; Regression analysis; Extreme value theory; Statistics; Optimal allocation; Covariance matrix; Computer science; Mathematical optimization","authors":[{"name":"Ping Shing Chan","is_ca":false},{"name":"Hon Yiu So","is_ca":true},{"name":"Hon Keung Tony Ng","is_ca":false},{"name":"Wei Gao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1111368135195682,"gpt":0.3638749176290151,"spread":0.2527381041094469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002242965,0.0004530042,0.0005826912,0.0001328369,0.0002216933,0.00009395701,0.0001783432,0.0002946653,0.0003948067],"category_scores_gemma":[0.001097577,0.0004642779,0.00006368548,0.0000725074,0.0001843403,0.00004345682,0.0001076255,0.000389724,0.00003449513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001507897,"about_ca_system_score_gemma":0.0001042454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005529935,"about_ca_topic_score_gemma":0.000007817392,"domain_scores_codex":[0.9977897,0.00003178472,0.00089407,0.0005909507,0.0003733213,0.0003201239],"domain_scores_gemma":[0.997382,0.001399388,0.0004324238,0.0003052466,0.0002831813,0.0001977277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002217699,0.00003331961,0.000002369125,0.0003337412,0.00003863814,0.00001146397,0.0000871149,0.00006661989,0.00002603592,0.9451259,0.04680059,0.007451999],"study_design_scores_gemma":[0.0005315499,0.00008156496,0.00007610209,0.000297595,0.0001712844,0.000005647982,0.0000276037,0.1042875,0.00002035582,0.8260093,0.0679718,0.000519586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001265698,0.000127556,0.9731004,0.001739597,0.0002009651,0.0007261773,0.01253864,0.0000788236,0.0114752],"genre_scores_gemma":[0.0009647632,0.0004230235,0.9353576,0.0003256366,0.0003889777,0.0000765384,0.006594056,0.0001375342,0.05573187],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1191166,"threshold_uncertainty_score":0.9997809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7129641361","doi":"10.1007/978-3-031-94050-7_5","title":"Some Stein-Rule Methods in Tensor Regression Model with High-Dimensional Data","year":2025,"lang":"en","type":"book-chapter","venue":"Emerging topics in statistics and biostatistics","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Estimator; Tensor (intrinsic definition); Asymptotic distribution; Regression analysis; Regression; Linear regression; Estimation theory","authors":[{"name":"Mai Ghannam","is_ca":true},{"name":"Sévérien Nkurunziza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08582428767296793,"gpt":0.404576303532234,"spread":0.318752015859266,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004072103,0.0004503568,0.0006948268,0.000349244,0.0001332067,0.00006342693,0.0003725069,0.0002807838,0.00009414965],"category_scores_gemma":[0.0002585446,0.0003898445,0.0000240142,0.00009116446,0.0001842035,0.00006910885,0.0004249378,0.0006635275,0.0000032087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009663637,"about_ca_system_score_gemma":0.0001845515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000486766,"about_ca_topic_score_gemma":0.0002054882,"domain_scores_codex":[0.9976945,0.00006452276,0.0008319951,0.0007411959,0.000360213,0.0003075634],"domain_scores_gemma":[0.9974452,0.001009932,0.0003576947,0.0009166996,0.0001665798,0.0001039418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002930254,0.00007126117,0.00002648686,0.0002743783,0.00004044111,0.00007944775,0.00006858817,0.0001171929,0.00001660837,0.9527685,0.03087466,0.01563312],"study_design_scores_gemma":[0.0006682088,0.00004122534,0.0001146989,0.0007798563,0.0001318459,0.000008917013,0.00001559821,0.109583,0.00001298726,0.8748744,0.01329726,0.0004719587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002159772,0.001003755,0.9491719,0.002213564,0.0004862718,0.00115857,0.02868778,0.0001093688,0.01695281],"genre_scores_gemma":[0.00008879491,0.0007137124,0.912342,0.0002318506,0.000110417,0.00001687988,0.002411332,0.00005924025,0.08402576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1094658,"threshold_uncertainty_score":0.9998553,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312332703","doi":"10.1007/978-3-031-13971-0_15","title":"A Generalized Quadratic Garrote Approach Towards Ridge Regression Analysis","year":2022,"lang":"en","type":"book-chapter","venue":"Emerging topics in statistics and biostatistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Multicollinearity; Regression; Regression analysis; Lasso (programming language); Mathematics; Ridge; Collinearity; Linear regression; Shrinkage; Polynomial regression; Estimator; Quadratic equation; Statistics; Applied mathematics; Segmented regression; Local regression; Computer science; Geology; Geometry","authors":[{"name":"Inesh Munaweera","is_ca":true},{"name":"Saman Muthukumarana","is_ca":true},{"name":"Mohammad Jafari Jozani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1189967252573367,"gpt":0.4101478682463008,"spread":0.2911511429889641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008475867,0.0008212954,0.001707118,0.0006607083,0.0003466594,0.0001011989,0.0003451543,0.0003620132,0.001515238],"category_scores_gemma":[0.001127908,0.0007581648,0.000189389,0.0002790487,0.0002919044,0.00006131384,0.0004322845,0.001125508,0.00000242152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235317,"about_ca_system_score_gemma":0.0001534363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001180511,"about_ca_topic_score_gemma":0.0001300488,"domain_scores_codex":[0.9957798,0.0002325484,0.001427475,0.001064431,0.0008852136,0.0006105207],"domain_scores_gemma":[0.996776,0.001256915,0.0007495813,0.0007571657,0.0001952497,0.000265104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004465361,0.00007584527,0.00002120008,0.0005159363,0.0004117212,0.0002307663,0.0004703829,0.0001442788,0.000003274541,0.9581907,0.005012098,0.03487912],"study_design_scores_gemma":[0.0006020305,0.0001318617,0.00005508602,0.0001067246,0.001441062,0.00001278839,0.00005642954,0.04651983,0.000002829255,0.881515,0.0686667,0.0008896163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000360264,0.0006615018,0.9376132,0.000145182,0.0004062689,0.0006142911,0.0116437,0.00006358939,0.04881627],"genre_scores_gemma":[0.0001785136,0.002230085,0.9284325,0.0001345049,0.0001854233,0.00005961776,0.002345365,0.0001391136,0.06629493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07667569,"threshold_uncertainty_score":0.9994869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206821549","doi":"10.1007/978-3-030-72437-5_8","title":"Controlling the False Discovery Rate of Grouped Hypotheses","year":2021,"lang":"en","type":"book-chapter","venue":"Emerging topics in statistics and biostatistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"False discovery rate; Ranking (information retrieval); Multiple comparisons problem; Statistical hypothesis testing; Computer science; Statistical power; Data mining; Statistics; Control (management); Econometrics; Machine learning; Mathematics; Artificial intelligence; Biology","authors":[{"name":"Peter W. MacDonald","is_ca":true},{"name":"Nathan J. Wilson","is_ca":true},{"name":"Kun Liang","is_ca":true},{"name":"Yingli Qin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3198293956828958,"gpt":0.4647653564048828,"spread":0.144935960721987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002483432,0.0005815845,0.001693011,0.0001528138,0.0001446352,0.0001528359,0.000386857,0.0004158823,0.0003386422],"category_scores_gemma":[0.04280187,0.000447032,0.0001518156,0.00009971899,0.0008237412,0.00004791071,0.0003255546,0.0009181267,0.00000291144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006490625,"about_ca_system_score_gemma":0.0001682631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004936008,"about_ca_topic_score_gemma":0.0001487453,"domain_scores_codex":[0.9957463,0.0004728721,0.002184088,0.0006536357,0.0005038629,0.0004392491],"domain_scores_gemma":[0.9387154,0.05906105,0.001051274,0.0007096445,0.0003494911,0.0001131338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006511747,0.00005363145,0.00006912675,0.0006164457,0.0001973088,0.0001753335,0.0001470906,0.000005239087,0.00001911134,0.9788918,0.003360038,0.01639973],"study_design_scores_gemma":[0.0008128375,0.0001222897,0.0001815768,0.0007392112,0.0004287671,0.000007136411,0.00008119085,0.000915318,0.00004043475,0.9805626,0.01562149,0.0004871612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002969377,0.002376108,0.9469112,0.0008675306,0.002588848,0.00132693,0.0168451,0.00005100877,0.02873641],"genre_scores_gemma":[0.001461093,0.006034192,0.9238147,0.0003691398,0.0007154078,0.00002464974,0.0001350671,0.000168926,0.06727683],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05858818,"threshold_uncertainty_score":0.9997981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}