{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":29,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":29,"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":"38ae3dc04ab2","filters":{"venue":"International Encyclopedia of Statistical Science"}},"results":[{"id":"W183568390","doi":"10.1007/978-3-642-04898-2_102","title":"Absolute Penalty Estimation","year":2011,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":7,"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":"Estimation; Absolute (philosophy); Penalty method; Mathematics; Computer science; Statistics; Mathematical optimization; Economics; Philosophy","authors":[{"name":"Ejaz Ahmed","is_ca":false},{"name":"Enayetur Raheem","is_ca":true},{"name":"Shakhawat Hossain","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07088903915021048,"gpt":0.3686663444978622,"spread":0.2977773053476517,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008566573,0.0003012949,0.0004587688,0.0002473459,0.00009183905,0.00004495314,0.0009752241,0.0001602751,0.009196674],"category_scores_gemma":[0.00636077,0.0002622329,0.00008344227,0.00007731174,0.001560153,0.0001740966,0.0002786814,0.0003600365,0.0002214626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481904,"about_ca_system_score_gemma":0.0003780071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004976235,"about_ca_topic_score_gemma":0.000007862523,"domain_scores_codex":[0.9967922,0.00002086315,0.0008610919,0.0005766314,0.001433069,0.0003161412],"domain_scores_gemma":[0.9961601,0.00199554,0.0005217723,0.000361738,0.0007150259,0.0002458057],"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":[0.00001821799,0.0000371389,0.000005954968,0.00004571745,0.00002175436,0.00001550667,0.00006067607,0.000001009394,0.00001190477,0.9025724,0.001977087,0.09523266],"study_design_scores_gemma":[0.0001201167,0.00009871351,0.0007041924,0.000184287,0.00005613442,0.00001261815,0.000002596598,0.002081769,0.00002861088,0.9707814,0.02564838,0.00028117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00001298367,0.00001175747,0.3769247,0.00004866442,0.0006252373,0.0001785025,0.0005221267,0.0000273029,0.6216487],"genre_scores_gemma":[0.00390317,0.0002713802,0.8447099,0.0000677826,0.0001997905,0.00002566686,0.00004031432,0.00004646517,0.1507355],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4709132,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411440062","doi":"10.1007/978-3-662-69359-9_415","title":"Non-uniform Random Variate Generation","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Random variate; Convolution random number generator; Mathematics; Computer science; Statistics; Random variable","authors":[{"name":"Pierre L’Ecuyer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01189118218713858,"gpt":0.2676001458674118,"spread":0.2557089636802732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005259007,0.0002421975,0.0003113475,0.0003519834,0.0001607405,0.0001976823,0.002461477,0.0001236638,0.0003869237],"category_scores_gemma":[0.0002825666,0.0002081614,0.00006992323,0.0001402377,0.0004227253,0.0007774337,0.001054816,0.0002540298,0.00007352844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446025,"about_ca_system_score_gemma":0.0007141417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000715444,"about_ca_topic_score_gemma":0.000007682187,"domain_scores_codex":[0.9970613,0.000008619581,0.000581374,0.0007237365,0.001375204,0.0002497548],"domain_scores_gemma":[0.9981504,0.0002703218,0.0002987623,0.0005382964,0.0005881055,0.000154108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009162038,0.00002190616,0.000003272763,0.00001060222,0.0000155058,0.00001633811,0.00003355965,0.00006417867,0.00008438912,0.9057369,0.008103546,0.0859006],"study_design_scores_gemma":[0.0006762196,0.00008719082,0.000255438,0.000209625,0.00002542239,0.00001155397,0.000001465942,0.5737754,0.0001325617,0.1521156,0.272298,0.0004115693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001487586,0.00001816464,0.5344276,0.0001553581,0.001547264,0.000109318,0.0002124919,0.00002125578,0.4635071],"genre_scores_gemma":[0.002487523,0.001241446,0.6301426,0.00037139,0.0008383286,0.00002703361,0.0003763808,0.00002247056,0.3644928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7536213,"threshold_uncertainty_score":0.8488576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W935253988","doi":"10.1007/978-3-642-04898-2_431","title":"Optimal Shrinkage Preliminary Test Estimation","year":2011,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Seismic Performance and Analysis","field":"Engineering","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 Windsor","funders":"","keywords":"Shrinkage; Estimation; Test (biology); Computer science; Statistics; Mathematics; Geology; Engineering","authors":[{"name":"S. Ejaz Ahmed","is_ca":true},{"name":"S. Chitsaz","is_ca":true},{"name":"Saber Fallahpour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009550383249219146,"gpt":0.2372994004824483,"spread":0.2277490172332291,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001576161,0.0002011063,0.0002226499,0.0002769348,0.00004679638,0.00002711555,0.0005920989,0.00009642592,0.001974589],"category_scores_gemma":[0.0001835889,0.0001941652,0.00005827229,0.00007257819,0.0005061356,0.0003054011,0.0001018441,0.0002167632,0.0002532129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001137296,"about_ca_system_score_gemma":0.00009180696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001674704,"about_ca_topic_score_gemma":0.000001436621,"domain_scores_codex":[0.9984422,0.000001599548,0.0004079927,0.0002743775,0.0006720488,0.000201825],"domain_scores_gemma":[0.9992684,0.0001723553,0.00009776319,0.0001861784,0.0001623301,0.000112957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004967098,0.0001397901,0.0003265109,0.0002693155,0.0002363804,0.0001474433,0.0006213658,0.05255415,0.0004108211,0.5145195,0.01229905,0.418426],"study_design_scores_gemma":[0.0002707578,0.0002728488,0.00450769,0.000385672,0.0001712942,0.00003821506,0.00001477686,0.8679233,0.0003925517,0.03611144,0.08908538,0.0008260824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004364183,0.00006804445,0.08761317,0.00002210606,0.0005275745,0.0000747908,0.0003470642,0.00007154699,0.9108393],"genre_scores_gemma":[0.6629261,0.004673112,0.09402269,0.0001181124,0.0007080093,0.00003893175,0.0004875969,0.000128086,0.2368973],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8153691,"threshold_uncertainty_score":0.9989377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2293381862","doi":"10.1007/978-3-642-04898-2_430","title":"Optimal Shrinkage Estimation","year":2011,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"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":"Shrinkage; Estimation; Computer science; Mathematics; Statistics; Economics","authors":[{"name":"S. Ejaz Ahmed","is_ca":true},{"name":"T. Quadir","is_ca":true},{"name":"Sévérien Nkurunziza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01028306113948886,"gpt":0.2415161597961266,"spread":0.2312330986566378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001503097,0.0001724834,0.0002056458,0.0002630285,0.0000377304,0.0000246465,0.0005311435,0.0000829765,0.002644989],"category_scores_gemma":[0.00007309039,0.0001653832,0.00005486241,0.00006343256,0.0004493516,0.0002631218,0.00007497133,0.0001863865,0.0002665581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047464,"about_ca_system_score_gemma":0.00007837184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001802037,"about_ca_topic_score_gemma":0.000002085947,"domain_scores_codex":[0.9985831,0.000001511306,0.0003610571,0.0002345118,0.0006406661,0.0001790941],"domain_scores_gemma":[0.9994485,0.00006309451,0.00008134304,0.0001617727,0.0001446102,0.0001006667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001240863,0.00002612159,0.00004554434,0.000078664,0.0001284695,0.00003807922,0.0002409915,0.02441408,0.000140445,0.7578224,0.004260127,0.2127927],"study_design_scores_gemma":[0.000270155,0.00009202723,0.001544931,0.0002832424,0.0001474249,0.00002366619,0.00001291992,0.7057664,0.0003885797,0.0749102,0.215731,0.0008294785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003715619,0.00004590981,0.1275056,0.00001439727,0.0005729237,0.00004875395,0.0001924843,0.00005536321,0.871193],"genre_scores_gemma":[0.5313804,0.006634544,0.129946,0.0001596144,0.0008739438,0.00003280536,0.0005001268,0.0001452567,0.3303273],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6829122,"threshold_uncertainty_score":0.9982668,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213324453","doi":"10.1007/978-3-642-04898-2_191","title":"Copulas: Distribution Functions and Simulation","year":2011,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Statistical physics; Distribution (mathematics); Econometrics; Computer science; Mathematics; Physics; Mathematical analysis","authors":[{"name":"Pranesh Kumar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03501315868152608,"gpt":0.2588560815376513,"spread":0.2238429228561252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003693623,0.0001402298,0.0002584087,0.0001629241,0.0001050728,0.00003403256,0.0002319404,0.0001161684,0.0009305036],"category_scores_gemma":[0.0006684889,0.0001601678,0.00004474718,0.00005382584,0.0005591857,0.000257451,0.0001088981,0.0001666756,0.0001586204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278788,"about_ca_system_score_gemma":0.00006543055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013353,"about_ca_topic_score_gemma":0.00001580955,"domain_scores_codex":[0.9986393,0.000002201346,0.0006119846,0.0004456794,0.0001472974,0.0001535746],"domain_scores_gemma":[0.9990938,0.0001327978,0.0003409098,0.000149985,0.0001888811,0.00009367162],"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":[0.00001316785,0.00001649766,0.001102859,0.00001058268,0.000008887116,0.000001085649,0.00005085154,0.0001809583,6.861764e-7,0.9878536,0.0001705513,0.01059027],"study_design_scores_gemma":[0.0001289449,0.000059185,0.01259526,0.00004483586,0.00001125306,0.000001462693,0.000003845132,0.04579085,0.000001041289,0.7467881,0.1943578,0.0002174104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0006373467,0.0002037492,0.3166274,0.00004952173,0.0007387278,0.0001087826,0.003462084,0.00001449383,0.6781579],"genre_scores_gemma":[0.9160339,0.001116627,0.002641715,0.0000265937,0.0001992079,0.000007152817,0.000375554,0.0000207551,0.07957848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9153966,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411442034","doi":"10.1007/978-3-662-69359-9_661","title":"Strong Approximations in Probability and Statistics","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Statistics; Probability and statistics; Mathematics; Statistical physics; Econometrics; Physics","authors":[{"name":"Murray D. Burke","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04582262849979821,"gpt":0.3359893696755272,"spread":0.290166741175729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002306648,0.0002285342,0.0004388565,0.0006727621,0.00007639739,0.0001250776,0.001172412,0.0001299365,0.0006365427],"category_scores_gemma":[0.01452613,0.0001880565,0.0000376721,0.0002619883,0.001717203,0.0002443274,0.0004155255,0.0003347317,0.00002756421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134926,"about_ca_system_score_gemma":0.0007864607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003863822,"about_ca_topic_score_gemma":0.00004519607,"domain_scores_codex":[0.9956939,0.00002945044,0.001138009,0.0007933603,0.002089489,0.0002557408],"domain_scores_gemma":[0.9946912,0.003606823,0.0002976238,0.0004043889,0.0008434336,0.0001565251],"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":[0.00001038318,0.00003788463,0.0002325492,0.00002618229,0.000007164276,0.000008162955,0.00005079889,0.000438423,0.000002539089,0.955546,0.001939404,0.04170057],"study_design_scores_gemma":[0.000185327,0.0000392999,0.003698339,0.0001207198,0.00001462523,0.000003715297,0.00001372289,0.03882507,0.000001531631,0.9342098,0.02269232,0.0001955222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001445873,0.0000399454,0.5136172,0.000145287,0.0004360458,0.0002175851,0.001142819,0.00001138122,0.4843753],"genre_scores_gemma":[0.02153352,0.0003810461,0.6815174,0.00006328284,0.0001312662,0.00004104502,0.00009101122,0.0000257181,0.2962157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1881596,"threshold_uncertainty_score":0.993775,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411442081","doi":"10.1007/978-3-662-69359-9_604","title":"Statistical Evidence","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","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 Alberta","funders":"","keywords":"Geology","authors":[{"name":"Subhash R. Lele","is_ca":true},{"name":"Mark L. Taper","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09249724982315718,"gpt":0.4392647162370462,"spread":0.346767466413889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001129853,0.0004192351,0.0007248327,0.0003373383,0.0001304435,0.00005949855,0.001278834,0.0002043018,0.003261636],"category_scores_gemma":[0.02280908,0.0003755829,0.00009974295,0.0001220233,0.002348215,0.0002892058,0.0005306841,0.0005671771,0.00006113113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984258,"about_ca_system_score_gemma":0.0008968167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002513919,"about_ca_topic_score_gemma":0.0000100085,"domain_scores_codex":[0.9953597,0.00004203017,0.00112341,0.0009775957,0.002031474,0.0004658084],"domain_scores_gemma":[0.9858216,0.01194306,0.0004316806,0.0005098171,0.0009641465,0.0003296895],"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":[0.000048991,0.00004446118,0.000006603225,0.0001356996,0.00003466378,0.00005084907,0.00002661451,0.000003484549,0.00002668322,0.9071047,0.008215004,0.08430219],"study_design_scores_gemma":[0.0001446132,0.0001042685,0.00008902892,0.0007465045,0.00010005,0.000008698629,0.000005162109,0.001255177,0.00002352251,0.9301233,0.067058,0.0003416916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001491716,0.0000545396,0.5157143,0.0001485079,0.0006505857,0.0001851621,0.001469287,0.00003006796,0.481746],"genre_scores_gemma":[0.0007685713,0.0007909794,0.7359625,0.0001027263,0.0001680762,0.00001960516,0.00003372187,0.00003257417,0.2621212],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2202482,"threshold_uncertainty_score":0.9998696,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439800","doi":"10.1007/978-3-662-69359-9_548","title":"Scales of Measurement and Choice of Statistical Methods","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","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":"Carleton University","funders":"","keywords":"Computer science; Statistics; Psychology; Mathematics","authors":[{"name":"Donald W. Zimmerman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.109850358018716,"gpt":0.4583770289800156,"spread":0.3485266709612995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002074413,0.0003002443,0.0008850132,0.0002892111,0.00005208185,0.00001413133,0.00061266,0.0001476397,0.000413903],"category_scores_gemma":[0.02114465,0.0002615246,0.00007517737,0.0000977331,0.002795686,0.0001107516,0.0003773253,0.0002920301,0.000001168337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265138,"about_ca_system_score_gemma":0.000420649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005203909,"about_ca_topic_score_gemma":0.0000202166,"domain_scores_codex":[0.9959078,0.00008661838,0.00129326,0.0006069773,0.001840195,0.0002651344],"domain_scores_gemma":[0.9881774,0.009153845,0.0006532926,0.0003219577,0.001492976,0.0002005466],"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":[0.00003757837,0.00006888813,0.00001720433,0.0004043677,0.00005993995,0.000003676529,0.00003508418,0.000002992457,0.0004926879,0.8443416,0.0003782009,0.1541578],"study_design_scores_gemma":[0.0002606406,0.0001498746,0.0005789829,0.0005498637,0.0001418248,0.000002860101,0.00001059652,0.001893485,0.0004172665,0.9870003,0.008770614,0.0002236917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000008152751,0.0001123744,0.6886104,0.0000514517,0.0002748406,0.0001950357,0.001799187,0.000008640584,0.3089399],"genre_scores_gemma":[0.002494254,0.0004310492,0.9874886,0.00001988445,0.0000487742,0.00001025816,0.00001411363,0.00002085863,0.009472224],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2994677,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439896","doi":"10.1007/978-3-662-69359-9_205","title":"Estimation","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","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 Toronto","funders":"","keywords":"Estimation; Economics","authors":[{"name":"Nancy Reid","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05181004537747602,"gpt":0.4151199842163373,"spread":0.3633099388388613,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005547655,0.0002385783,0.0004004368,0.0002577201,0.0000808394,0.00003043,0.0006672091,0.0001273988,0.001151479],"category_scores_gemma":[0.00702074,0.0002156527,0.000067416,0.00007502953,0.001012943,0.0001665828,0.0002384398,0.0002801063,0.00002866561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725966,"about_ca_system_score_gemma":0.0003987234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000868401,"about_ca_topic_score_gemma":0.000003545912,"domain_scores_codex":[0.9974145,0.00001366053,0.0006750333,0.0005202411,0.001142939,0.0002336601],"domain_scores_gemma":[0.99598,0.002763844,0.000317391,0.0002881791,0.0005061712,0.0001444288],"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":[0.00001214807,0.00002134335,8.056729e-7,0.00005298274,0.00001567525,0.000008847886,0.0000168012,0.00001495238,0.000009356749,0.795983,0.002561418,0.2013027],"study_design_scores_gemma":[0.0001132906,0.00004019315,0.00001808774,0.0002192795,0.00004774665,0.000003483103,0.000002424431,0.01093644,0.00002732886,0.9411025,0.04730039,0.0001888145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001053533,0.00001114114,0.4998937,0.00008190332,0.0004364898,0.0001089505,0.0005146653,0.00001981216,0.4989323],"genre_scores_gemma":[0.000501984,0.0001516087,0.7118998,0.00004661293,0.00007280614,0.000009286971,0.00003118681,0.00001601912,0.2872707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2120061,"threshold_uncertainty_score":0.9997616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439986","doi":"10.1007/978-3-662-69359-9_2","title":"Note on Tests of Independence, A","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis; Université de Montréal","funders":"","keywords":"Independence (probability theory); Computer science; Mathematics; Statistics","authors":[{"name":"Bouchra Nasri","is_ca":true},{"name":"Bruno Rémillard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02208392925236101,"gpt":0.2769122146995099,"spread":0.2548282854471489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005741616,0.0001689967,0.0004378473,0.0005317779,0.00004846945,0.00001992732,0.0007356164,0.0001641862,0.0007250085],"category_scores_gemma":[0.001817821,0.0001858949,0.00008647398,0.0001124945,0.0005939083,0.0001338738,0.0001715156,0.0003017143,0.0001110408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495055,"about_ca_system_score_gemma":0.0003026384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002356124,"about_ca_topic_score_gemma":0.00003277762,"domain_scores_codex":[0.9980568,0.000002529286,0.0009032892,0.0005185903,0.0003371629,0.0001816583],"domain_scores_gemma":[0.9984624,0.0003830653,0.0005259227,0.0002611063,0.0002939033,0.00007355678],"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":[0.00002281882,0.00003623944,0.0007323004,0.00002873329,0.000009998429,0.000003174948,0.00004665748,0.00004770666,0.000004480529,0.9861743,0.0003998023,0.01249376],"study_design_scores_gemma":[0.0001916147,0.00012426,0.009838795,0.0002748361,0.000008219363,8.409087e-7,0.000001989042,0.007195157,0.00002029172,0.8871311,0.09497438,0.0002385322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002920922,0.0001084971,0.03532995,0.0001225806,0.0009464887,0.0001249785,0.002299622,0.000008825107,0.960767],"genre_scores_gemma":[0.7117942,0.001714102,0.02274846,0.0001870012,0.0002447092,0.00001222177,0.00007094584,0.00003108063,0.2631973],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7115021,"threshold_uncertainty_score":0.7938336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411442155","doi":"10.1007/978-3-662-69359-9_447","title":"Optimal Approximate Design","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","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":"Computer science","authors":[{"name":"Saumen Mandal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0848798311340984,"gpt":0.4209384944807325,"spread":0.336058663346634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00526006,0.0004066457,0.0007324704,0.001005484,0.0001542864,0.0003068942,0.00403866,0.0002105721,0.006608759],"category_scores_gemma":[0.008469615,0.0003309077,0.0001685991,0.000395494,0.002679296,0.0005189893,0.001028493,0.000410337,0.0004444026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286552,"about_ca_system_score_gemma":0.001075002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001980778,"about_ca_topic_score_gemma":9.540977e-7,"domain_scores_codex":[0.9910836,0.0001074458,0.001508654,0.001345835,0.005523321,0.0004311718],"domain_scores_gemma":[0.9911069,0.005733799,0.0006707627,0.0007354508,0.001446675,0.0003063988],"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":[0.00009837397,0.00005131295,0.000009347767,0.000007735976,0.0000309572,0.00003519735,0.0001025552,0.00053622,0.0004827235,0.9166332,0.01478512,0.06722728],"study_design_scores_gemma":[0.0004269462,0.0003333609,0.0002209795,0.0002089624,0.00005869203,0.00002780166,0.00007753947,0.0410113,0.001799175,0.6320266,0.3230254,0.000783342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000004565732,0.00006464848,0.4408707,0.000106367,0.001174004,0.0002251063,0.0003328341,0.00002186258,0.5571999],"genre_scores_gemma":[0.0008702006,0.0001309607,0.5764794,0.0000877194,0.0001090101,0.00001533781,0.0000136116,0.00001558832,0.4222782],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3082403,"threshold_uncertainty_score":0.9999143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411440006","doi":"10.1007/978-3-662-69359-9_198","title":"Empirical Likelihood Approach to Inference from Sample Survey Data","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Statistical Methods and Inference","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; Carleton University","funders":"","keywords":"Inference; Sample (material); Computer science; Survey sampling; Empirical likelihood; Econometrics; Data science; Statistics; Artificial intelligence; Mathematics; Sociology; Demography; Chromatography","authors":[{"name":"J. N. K. Rao","is_ca":true},{"name":"Changbao Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1812424331989924,"gpt":0.43646899191091,"spread":0.2552265587119176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00198928,0.0004328444,0.0007891002,0.0003227318,0.0001094751,0.0001307012,0.00395171,0.000231352,0.002175907],"category_scores_gemma":[0.08014397,0.0003814971,0.00005868408,0.0002602495,0.001049824,0.0001915001,0.002340846,0.0005604691,0.00009502936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817346,"about_ca_system_score_gemma":0.001274383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411624,"about_ca_topic_score_gemma":0.0001964196,"domain_scores_codex":[0.9948082,0.0001010405,0.001129776,0.001470421,0.002011086,0.0004794887],"domain_scores_gemma":[0.9722511,0.02460975,0.000344725,0.001300934,0.001029074,0.0004644059],"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":[0.00004561714,0.0001467534,0.0008269781,0.00004364828,0.00005699413,0.000005166024,0.00008301937,0.000001454898,0.000005173701,0.9251604,0.02188466,0.05174011],"study_design_scores_gemma":[0.0001674451,0.00007958506,0.01068357,0.0002339783,0.00007228723,0.000001165672,0.000009079097,0.005013358,0.00000600297,0.9455244,0.03776081,0.0004483193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000163172,0.00001227013,0.5243022,0.00008346586,0.0005369885,0.0002057186,0.03062049,0.00002493864,0.4441976],"genre_scores_gemma":[0.002170948,0.0001368103,0.9767962,0.0002931897,0.0002257811,0.00001926973,0.001547447,0.00003334127,0.01877706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4524939,"threshold_uncertainty_score":0.9998637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411442212","doi":"10.1007/978-3-662-69359-9_521","title":"Recursive Partitioning","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"semigroups and automata theory","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Computer science","authors":[{"name":"Hugh Chipman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008509289670155485,"gpt":0.2628516792246103,"spread":0.2543423895544548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004279893,0.0001883713,0.0002383265,0.000306308,0.0001097728,0.0001232847,0.00224769,0.00008957281,0.0005996855],"category_scores_gemma":[0.0006129796,0.0001785064,0.00006576275,0.0001358109,0.000786504,0.0004535609,0.0006667062,0.0002277181,0.00009994093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418295,"about_ca_system_score_gemma":0.0005319424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002000726,"about_ca_topic_score_gemma":0.000003183864,"domain_scores_codex":[0.9976788,0.00001084398,0.0004385557,0.0005978537,0.001032851,0.0002411195],"domain_scores_gemma":[0.9981986,0.0005825384,0.000248231,0.0003985201,0.0004472187,0.0001248744],"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":[0.000002837005,0.00001334795,0.000007273008,0.00001000697,0.00001340363,0.00002095964,0.00004719947,0.000006682915,0.00001325473,0.9347532,0.004605539,0.06050626],"study_design_scores_gemma":[0.00009276967,0.00004211856,0.0002403817,0.0002438871,0.00001123565,0.000009020596,0.00000413028,0.004563723,0.00006924886,0.8198593,0.1746546,0.0002095433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003168964,0.00004808138,0.3444215,0.0004046243,0.001160161,0.00006897617,0.0001404629,0.00004251609,0.6537105],"genre_scores_gemma":[0.009828236,0.00114509,0.2944056,0.0008597705,0.0004442406,0.00002707241,0.00009985192,0.000027036,0.6931631],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1700491,"threshold_uncertainty_score":0.727928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411442225","doi":"10.1007/978-3-662-69359-9_450","title":"Optimal Shrinkage Preliminary Test Estimation","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Seismic Performance and Analysis","field":"Engineering","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; Brock University","funders":"","keywords":"Shrinkage; Test (biology); Estimation; Computer science; Mathematics; Statistics; Geology; Engineering; Systems engineering","authors":[{"name":"S. Ejaz Ahmed","is_ca":true},{"name":"S. Chitsaz","is_ca":true},{"name":"Saber Fallahpour","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00594766345889969,"gpt":0.2432533976150225,"spread":0.2373057341561228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001502416,0.0001906589,0.0002268673,0.0003442828,0.00005143142,0.00003609065,0.0005733463,0.00009318072,0.0008423453],"category_scores_gemma":[0.0003010292,0.0001883736,0.0000585026,0.0001047939,0.0004035915,0.0002427581,0.0001161767,0.0002194119,0.00009687858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509431,"about_ca_system_score_gemma":0.0001488222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001070481,"about_ca_topic_score_gemma":0.000001345042,"domain_scores_codex":[0.998456,0.000001635918,0.0004056243,0.0002747037,0.0006771271,0.0001848802],"domain_scores_gemma":[0.9991832,0.0003025012,0.00007803743,0.0001799299,0.0001725955,0.00008378502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003120551,0.00008624714,0.000194866,0.00034848,0.0001997951,0.00008601682,0.0001882531,0.1223784,0.0002555914,0.4310633,0.03070364,0.4144642],"study_design_scores_gemma":[0.0001300445,0.00007532207,0.001087772,0.0003047745,0.00008379087,0.00000769696,0.00000750302,0.9237593,0.0001253308,0.008115548,0.06598729,0.0003155639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001888047,0.00007910791,0.1018305,0.00006268969,0.0005839615,0.0000785785,0.0004855817,0.00006882293,0.896622],"genre_scores_gemma":[0.2532409,0.004702015,0.1159815,0.0002066741,0.000634718,0.00004514588,0.0007155096,0.00008219647,0.6243913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8013809,"threshold_uncertainty_score":0.922309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439873","doi":"10.1007/978-3-662-69359-9_736","title":"Uniform Random Number Generators","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Mathematics","authors":[{"name":"Pierre L’Ecuyer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008125949113758872,"gpt":0.2656458639747356,"spread":0.2575199148609767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007169874,0.000348804,0.0004114931,0.0004291208,0.00014032,0.0001969343,0.002835142,0.0001547329,0.001398312],"category_scores_gemma":[0.0007830858,0.0003270226,0.0001278831,0.0002836551,0.001005742,0.0007825546,0.0007938069,0.0003939918,0.0003241971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004088817,"about_ca_system_score_gemma":0.001296429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007301271,"about_ca_topic_score_gemma":0.0000119626,"domain_scores_codex":[0.9959415,0.00002123461,0.0007605889,0.0008966716,0.002006601,0.0003734404],"domain_scores_gemma":[0.9972034,0.0007186292,0.0003667086,0.000567047,0.0009016831,0.0002425095],"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":[0.0000206738,0.00002918284,0.00002092747,0.00002020611,0.00002447996,0.00003781166,0.00003623328,0.00004740206,0.00008996823,0.9437625,0.006172805,0.04973777],"study_design_scores_gemma":[0.001366327,0.0001166577,0.0003795844,0.0003899002,0.00005883873,0.00004927661,0.000004951499,0.045828,0.0006967477,0.5544699,0.3957253,0.0009144334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008400579,0.00002071454,0.4517899,0.0002915472,0.001407084,0.0001396588,0.0001812634,0.00005315632,0.5461082],"genre_scores_gemma":[0.01100828,0.001112151,0.4686716,0.0010133,0.0007850596,0.00004712843,0.0001821529,0.0000545256,0.5171258],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3895525,"threshold_uncertainty_score":0.9999182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439860","doi":"10.1007/978-3-662-69359-9_189","title":"E-values (E for Expectation) in Hypothesis Testing","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","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":"Psychology; Econometrics; Statistics; Mathematics; Computer science","authors":[{"name":"Ruodu Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3553849541450152,"gpt":0.5088764397267439,"spread":0.1534914855817287,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002659057,0.0003011207,0.0007920893,0.0004867426,0.00007772737,0.00004675044,0.001037474,0.0002125846,0.0006504674],"category_scores_gemma":[0.4164,0.0002823699,0.0001205153,0.000202171,0.001263607,0.0001220118,0.0002390397,0.0003202292,0.00001636012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693669,"about_ca_system_score_gemma":0.0006319451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003609643,"about_ca_topic_score_gemma":0.00002137335,"domain_scores_codex":[0.9959664,0.00006142365,0.001642605,0.0007697067,0.001214601,0.000345275],"domain_scores_gemma":[0.8477604,0.1504029,0.0005465946,0.0002924732,0.0008750053,0.0001226885],"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":[0.00005805131,0.00006307573,0.00008135577,0.0001338975,0.00002779296,0.000009187633,0.00003823727,0.000003070806,0.00001910035,0.9053612,0.002109457,0.0920956],"study_design_scores_gemma":[0.0004182074,0.0001007178,0.0007409871,0.0005889289,0.00006685939,0.000001697642,0.0000128587,0.001179451,0.00004683893,0.9933561,0.003226458,0.0002608905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00003665251,0.0000132909,0.222611,0.0002094293,0.001137854,0.000639572,0.001484212,0.0000360911,0.773832],"genre_scores_gemma":[0.0004732165,0.00007076089,0.9330183,0.00006672271,0.000267782,0.00008149774,0.000006142126,0.00003032594,0.0659853],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7104073,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411440038","doi":"10.1007/978-3-662-69359-9_325","title":"Likelihood","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Statistical Methods and Inference","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 Toronto","funders":"","keywords":"Computer science","authors":[{"name":"Nancy Reid","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03463689750680944,"gpt":0.3609689932905195,"spread":0.3263320957837101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000723361,0.0002786181,0.0004748494,0.0002944387,0.0000792548,0.00004757537,0.001093461,0.0001584051,0.004784227],"category_scores_gemma":[0.009443262,0.0002437709,0.00008622738,0.0001036359,0.001344141,0.00008956515,0.0003807487,0.0003756105,0.0000773162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001561402,"about_ca_system_score_gemma":0.0007114789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002546442,"about_ca_topic_score_gemma":0.000007209257,"domain_scores_codex":[0.9969227,0.00001812518,0.0007680593,0.0005772743,0.001389546,0.000324283],"domain_scores_gemma":[0.9947202,0.003621866,0.000318532,0.0003573274,0.0007752652,0.000206797],"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":[0.00001188228,0.00003366433,0.00001286537,0.00005793035,0.00002567822,0.00001458432,0.00001961012,1.291612e-7,0.00001553806,0.8888441,0.009136467,0.1018276],"study_design_scores_gemma":[0.0001150814,0.00006278297,0.0001731929,0.0002714134,0.00005074634,0.000003948157,0.00000417787,0.0003740178,0.00003071363,0.9001348,0.09856039,0.0002187506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00000506878,0.00002363291,0.2359933,0.0001627152,0.0009863481,0.0001413405,0.0009775894,0.00002909779,0.7616808],"genre_scores_gemma":[0.0008722453,0.0003561386,0.6156903,0.0001352379,0.000223829,0.00001349657,0.00002588973,0.00002617874,0.3826567],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.379697,"threshold_uncertainty_score":0.9989006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439651","doi":"10.1007/978-3-662-69359-9_640","title":"Statistics in Insurance","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","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":"Actuarial science; Statistics; Computer science; Business; Mathematics","authors":[{"name":"Steve Drekic","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01382598772184512,"gpt":0.2461524864462813,"spread":0.2323264987244362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005401883,0.0001995218,0.000465845,0.0006695354,0.00004919265,0.00004007325,0.0008098437,0.000112335,0.00102318],"category_scores_gemma":[0.0007204337,0.0002381972,0.00005086632,0.0001662216,0.0006058231,0.0001934217,0.0002064092,0.0002754676,0.0003221199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737125,"about_ca_system_score_gemma":0.0001752923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002696067,"about_ca_topic_score_gemma":0.00008649284,"domain_scores_codex":[0.9978921,0.000002870867,0.001005965,0.0005769979,0.0002499843,0.0002720119],"domain_scores_gemma":[0.9988869,0.0001753202,0.0004460129,0.0002565495,0.0001713406,0.00006391598],"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":[0.00001453094,0.00003535082,0.004696015,0.00003962575,0.00001217938,0.00002565489,0.00004220334,0.00002109987,4.084226e-7,0.9704744,0.003196965,0.02144159],"study_design_scores_gemma":[0.000189404,0.0000290693,0.04296477,0.0001058323,0.000002718328,5.179643e-7,0.00000234412,0.0004851138,0.000001155552,0.602077,0.3539388,0.000203258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005549697,0.0002805379,0.04740258,0.0001438477,0.001504398,0.000185244,0.006380594,0.00001022757,0.9440371],"genre_scores_gemma":[0.1096354,0.0114427,0.03764781,0.00045929,0.000296812,0.0000453156,0.0002394823,0.00004817591,0.840185],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3683974,"threshold_uncertainty_score":0.99989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439955","doi":"10.1007/978-3-662-69359-9_190","title":"Econometrics","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Econometrics; Mathematics","authors":[{"name":"Peter Kennedy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02123205046641153,"gpt":0.2943274702214011,"spread":0.2730954197549896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006989741,0.0003116511,0.000423356,0.001650708,0.00008551777,0.00007919598,0.001859336,0.0001564213,0.007819227],"category_scores_gemma":[0.003465245,0.00031205,0.00009945044,0.0003582338,0.002261129,0.0002994558,0.0005694441,0.0003833227,0.002113534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000649151,"about_ca_system_score_gemma":0.00124308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004993146,"about_ca_topic_score_gemma":0.00001497382,"domain_scores_codex":[0.9961942,0.000008194186,0.0008003247,0.000795885,0.001855263,0.0003461107],"domain_scores_gemma":[0.9968758,0.001054508,0.0004471284,0.0003930385,0.0009907486,0.000238812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001752683,0.00003149765,0.0000848993,0.00002120461,0.00003642584,0.00002057985,0.00001398844,0.00001147631,0.00001497243,0.9451438,0.02088702,0.03371663],"study_design_scores_gemma":[0.0001794812,0.00004988248,0.001225956,0.0001328083,0.00004566386,0.000006287862,0.000003107476,0.0008294366,0.00001876722,0.2180151,0.7791698,0.000323726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000009107411,0.00007728705,0.00936536,0.000137818,0.001898521,0.0001928242,0.005670829,0.00005236154,0.9825959],"genre_scores_gemma":[0.004361274,0.0006676733,0.0217949,0.0001237106,0.0002771227,0.00001203148,0.0002209219,0.00005313017,0.9724892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7582828,"threshold_uncertainty_score":0.9999332,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411442278","doi":"10.1007/978-3-662-69359-9_449","title":"Optimal Shrinkage Estimation","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Seismic and Structural Analysis of Tall Buildings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Statistics Canada; University of Windsor; Brock University","funders":"","keywords":"Shrinkage; Estimation; Computer science; Statistics; Mathematics; Economics","authors":[{"name":"S. Ejaz Ahmed","is_ca":true},{"name":"T. Quadir","is_ca":true},{"name":"Sévérien Nkurunziza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005318655368564724,"gpt":0.2386215528469825,"spread":0.2333028974784178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000125567,0.0001991478,0.000254281,0.0002890863,0.0000490558,0.0000440556,0.0006689634,0.00009691992,0.001131827],"category_scores_gemma":[0.000209343,0.0001858559,0.00007361396,0.00007580336,0.0004656396,0.0001911831,0.0001208737,0.0002127911,0.00004688103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640691,"about_ca_system_score_gemma":0.00009449655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002056691,"about_ca_topic_score_gemma":0.000001831308,"domain_scores_codex":[0.9983853,0.000001946847,0.0004107639,0.0002896751,0.0007373636,0.0001749208],"domain_scores_gemma":[0.999316,0.0001584308,0.00008534142,0.0001552536,0.0001921766,0.00009279942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006300198,0.000004959477,0.000008852967,0.00005176802,0.00007934951,0.00001401624,0.00002979794,0.04809117,0.00009269008,0.8717145,0.007859185,0.0720474],"study_design_scores_gemma":[0.0001766994,0.00003391631,0.0006208234,0.0002422967,0.0001086312,0.00001109756,0.000007268567,0.7401354,0.000177729,0.08779053,0.1701964,0.0004992717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004797479,0.0000638354,0.1115166,0.00008619647,0.0008293461,0.00007116874,0.0002758398,0.00006631784,0.886611],"genre_scores_gemma":[0.2696468,0.001650697,0.1995704,0.000158764,0.0003949748,0.00001467519,0.0003640924,0.00005663494,0.528143],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.783924,"threshold_uncertainty_score":0.9997813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439691","doi":"10.1007/978-3-662-69359-9_611","title":"Statistical Inference in Ecology","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","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 Alberta","funders":"","keywords":"Statistical inference; Inference; Ecology; Geography; Biology; Computer science; Mathematics; Statistics; Artificial intelligence","authors":[{"name":"Subhash R. Lele","is_ca":true},{"name":"Mark L. Taper","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009826403349296577,"gpt":0.2777096297194004,"spread":0.2678832263701038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005190053,0.0002728129,0.0003947532,0.0002882145,0.0000718501,0.0000394893,0.001018262,0.0001642535,0.01153168],"category_scores_gemma":[0.003023568,0.0002734182,0.00003794554,0.0001685317,0.002315121,0.0001618971,0.0008339938,0.0004140592,0.0004008102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965257,"about_ca_system_score_gemma":0.0003660303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006983222,"about_ca_topic_score_gemma":0.0007253001,"domain_scores_codex":[0.996921,0.00001908196,0.0007349798,0.0007572284,0.001148753,0.0004189316],"domain_scores_gemma":[0.9972929,0.001919873,0.0002331563,0.0002686472,0.00009906296,0.0001862993],"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":[0.00001980426,0.00005158935,0.006814284,0.00001906013,0.00001001396,0.00008534722,0.00006159306,0.0001923078,0.00002038594,0.9356508,0.00424736,0.05282744],"study_design_scores_gemma":[0.0005030474,0.0001654144,0.1435304,0.0002296154,0.00004036568,0.000008074103,0.00002103773,0.008790751,0.000009182934,0.5940703,0.2519749,0.0006569687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001766017,0.00001110032,0.03294323,0.0001902564,0.0009072126,0.0002115758,0.0009597861,0.00001660763,0.9645836],"genre_scores_gemma":[0.2753221,0.001372234,0.112781,0.0008066254,0.0002140306,0.00007360945,0.0004232259,0.00006172123,0.6089455],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3556381,"threshold_uncertainty_score":0.9999718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439815","doi":"10.1007/978-3-662-69359-9_50","title":"Bayesian Analysis or Evidence-Based Statistics","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","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 Toronto","funders":"","keywords":"Statistics; Bayesian statistics; Bayesian probability; Econometrics; Computer science; Bayesian inference; Mathematics","authors":[{"name":"D. A. S. Fraser","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4392606828581294,"gpt":0.5031451184049257,"spread":0.06388443554679629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.04300948,0.0005954886,0.004076606,0.003041636,0.0001883143,0.0009196092,0.006756803,0.0002053891,0.1323027],"category_scores_gemma":[0.1579088,0.0003200232,0.001348541,0.002315174,0.001476307,0.0004548438,0.0005136572,0.0003945513,0.00119843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708999,"about_ca_system_score_gemma":0.002342986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006191683,"about_ca_topic_score_gemma":0.000182283,"domain_scores_codex":[0.9685673,0.0008054419,0.01034005,0.002170645,0.01770754,0.0004090282],"domain_scores_gemma":[0.9543716,0.02950737,0.006049968,0.003050854,0.006605058,0.0004151481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005052877,0.00004984172,0.00165761,0.00007048586,0.0008145067,0.0000623381,0.00003927241,0.0005472964,0.000003358232,0.8137108,0.1020827,0.08091119],"study_design_scores_gemma":[0.0002046874,0.0001501453,0.005420673,0.0005266506,0.003369834,0.000004726259,0.0000296571,0.1629374,0.000006402152,0.2133819,0.6132968,0.0006711186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000002941015,0.000108591,0.5480579,0.0004695105,0.0006423552,0.0002969698,0.002371016,0.000004979612,0.4480458],"genre_scores_gemma":[0.006511625,0.0003714983,0.1688968,0.0004064872,0.0001457234,0.0000224642,0.0001397184,0.00001689593,0.8234888],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6003289,"threshold_uncertainty_score":0.9999252,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439760","doi":"10.1007/978-3-662-69359-9_65","title":"Best Linear Unbiased Estimation in Linear Models","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Best linear unbiased prediction; Estimation; Mathematics; Unbiased Estimation; Statistics; Computer science; Artificial intelligence; Engineering; Estimator","authors":[{"name":"Simo Puntanen","is_ca":false},{"name":"George P. H. Styan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01342418782163841,"gpt":0.2660446735141194,"spread":0.252620485692481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002930197,0.0001754091,0.0002574764,0.0004306587,0.000030176,0.00003269231,0.0004341483,0.0001183418,0.0001794432],"category_scores_gemma":[0.0002905882,0.0001842824,0.00004119764,0.0001150694,0.0002048614,0.0002840115,0.00006015092,0.0002153316,0.00007069064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562282,"about_ca_system_score_gemma":0.0001761127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001753923,"about_ca_topic_score_gemma":0.00009242132,"domain_scores_codex":[0.9982141,0.000005690018,0.0006274165,0.0003134187,0.0006725006,0.0001668763],"domain_scores_gemma":[0.999143,0.0002003875,0.0001065874,0.0001938953,0.0002828338,0.00007328413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001500738,0.00003011531,0.00001998952,0.000139836,0.00002928884,0.0000126634,0.0001017222,0.1253954,0.000187108,0.8225897,0.001355723,0.05012347],"study_design_scores_gemma":[0.000183856,0.00001607551,0.0001711596,0.0003404166,0.00001592419,0.000001328654,0.000004703429,0.9481568,0.00001996093,0.0369336,0.01398683,0.0001693742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001033124,0.00009265455,0.3042027,0.00005674803,0.001466552,0.0002245033,0.0004155311,0.00004081465,0.6933972],"genre_scores_gemma":[0.5191885,0.002046118,0.04489993,0.00005336282,0.0005538939,0.0000918769,0.0006381631,0.00008753204,0.4324407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8227614,"threshold_uncertainty_score":0.7514818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439993","doi":"10.1007/978-3-662-69359-9_442","title":"Generalized Quasi-Likelihood (GQL) Inferences, On","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Econometrics; Mathematics","authors":[{"name":"Brajendra C. Sutradhar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01526654591147134,"gpt":0.2974578090151719,"spread":0.2821912631037006,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007953455,0.0003590447,0.0004708984,0.0005177259,0.0001209225,0.000169907,0.003200905,0.000192129,0.0004376975],"category_scores_gemma":[0.000693913,0.0003085037,0.0001184784,0.0002024014,0.0007065981,0.0003424898,0.0006876404,0.0004389256,0.00007665182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181058,"about_ca_system_score_gemma":0.001199109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006332969,"about_ca_topic_score_gemma":0.00001332018,"domain_scores_codex":[0.9961527,0.0000405061,0.00068134,0.001006377,0.001716865,0.0004021914],"domain_scores_gemma":[0.9974405,0.0007219531,0.0003316524,0.0006596476,0.0005855374,0.00026069],"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":[0.000008375902,0.0000408772,0.000003905339,0.00001226271,0.00001730574,0.00001798601,0.00003145915,0.000002116791,0.00001399421,0.7344028,0.003436758,0.2620122],"study_design_scores_gemma":[0.0002342339,0.0001678299,0.000124233,0.0002154589,0.00001718774,0.000006112217,7.153818e-7,0.008112607,0.00005835872,0.846212,0.144518,0.000333256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00000215804,0.00004042793,0.5091344,0.0004683118,0.001241244,0.0001048965,0.00014693,0.00003265589,0.488829],"genre_scores_gemma":[0.001533634,0.0009423846,0.7850152,0.0007536625,0.0002524934,0.00001843593,0.00003473697,0.00001700835,0.2114324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2773966,"threshold_uncertainty_score":0.9999367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411442181","doi":"10.1007/978-3-662-69359-9_137","title":"Copulas: Distribution Functions and Simulation","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","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 Northern British Columbia","funders":"","keywords":"Statistical physics; Distribution (mathematics); Econometrics; Computer science; Mathematics; Physics; Mathematical analysis","authors":[{"name":"Pranesh Kumar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02168064374715344,"gpt":0.2654355876589438,"spread":0.2437549439117903,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003538418,0.0001332819,0.0002630369,0.0002004366,0.000114973,0.00004465544,0.0002252468,0.0001127797,0.0004102534],"category_scores_gemma":[0.001071937,0.000155463,0.00004481619,0.0000756424,0.0004523167,0.0002075704,0.0001230121,0.0001681917,0.00006362524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668599,"about_ca_system_score_gemma":0.0001033487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317378,"about_ca_topic_score_gemma":0.00001483209,"domain_scores_codex":[0.9986548,0.000002246199,0.0006080109,0.0004454605,0.0001481507,0.0001413617],"domain_scores_gemma":[0.9990798,0.0002268566,0.0002759985,0.0001456036,0.0002012303,0.00007046673],"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":[0.00001090327,0.00001343275,0.0008759412,0.00001737934,0.000009714421,8.219771e-7,0.00002084188,0.0005181275,5.640219e-7,0.9843776,0.0005359864,0.01361866],"study_design_scores_gemma":[0.000142778,0.00003852278,0.007239647,0.00007952404,0.00001261559,7.034208e-7,0.000004448661,0.1572271,7.790132e-7,0.5323237,0.3027372,0.0001930262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002799809,0.0002269394,0.3371591,0.0001290432,0.0007891854,0.0001106065,0.004593578,0.00001347631,0.6566981],"genre_scores_gemma":[0.7074651,0.001578578,0.004613643,0.00006418191,0.0002548424,0.00001165133,0.0007632397,0.0000192198,0.2852296],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7071851,"threshold_uncertainty_score":0.6339599,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439771","doi":"10.1007/978-3-662-69359-9_727","title":"Tourism Statistics","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","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":"Tourism; Geography; Statistics; Mathematics; Archaeology","authors":[{"name":"Stephen L. Smith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01767588473228522,"gpt":0.3456285811026328,"spread":0.3279526963703476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001204256,0.0002200421,0.0003276808,0.0005676333,0.0003620235,0.0001644161,0.00214367,0.0001925513,0.01069741],"category_scores_gemma":[0.004670068,0.000230461,0.00007087833,0.0001667454,0.004787997,0.0003098922,0.0005445956,0.0004588366,0.0003424668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004877898,"about_ca_system_score_gemma":0.003244653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552634,"about_ca_topic_score_gemma":0.0002964048,"domain_scores_codex":[0.9947277,0.00003502765,0.0005128859,0.0005883671,0.00363835,0.0004976597],"domain_scores_gemma":[0.9963402,0.001325656,0.0002635736,0.0002998657,0.001420411,0.0003502607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001269307,0.000027368,0.00001874391,0.00001486812,0.00002716386,0.0001694627,0.0001701552,0.000001871893,0.000002103856,0.8539841,0.1013706,0.0442009],"study_design_scores_gemma":[0.0001073614,0.00003338732,0.0001818678,0.00009467314,0.00002423262,6.228328e-7,0.00008604164,0.00007473981,0.000004144429,0.3437347,0.6554672,0.0001909997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004319437,0.00004881942,0.01129711,0.001382189,0.001934701,0.0002693541,0.00210418,0.00004033979,0.982919],"genre_scores_gemma":[0.001599759,0.002283533,0.03022807,0.0001030849,0.0005774922,0.000007019813,0.00006153565,0.0000172031,0.9651223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5540966,"threshold_uncertainty_score":0.9979204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439735","doi":"10.1007/978-3-662-69359-9_5","title":"Absolute Penalty Estimation","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Statistical Methods and Inference","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 Winnipeg; University of Windsor; Brock University","funders":"","keywords":"Absolute (philosophy); Estimation; Mathematics; Computer science; Economics; Philosophy; Epistemology","authors":[{"name":"S. Ejaz Ahmed","is_ca":true},{"name":"Enayetur Raheem","is_ca":false},{"name":"Shakhawat Hossain","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04222182393204725,"gpt":0.377941079287487,"spread":0.3357192553554397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008192073,0.0002852081,0.0004676128,0.0003093451,0.0001012245,0.00006025494,0.000945678,0.0001555149,0.00380025],"category_scores_gemma":[0.01056142,0.0002537757,0.00008346907,0.0001109937,0.001243674,0.0001382434,0.0003171939,0.0003630201,0.00008266163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970946,"about_ca_system_score_gemma":0.0006180443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003151193,"about_ca_topic_score_gemma":0.000007334033,"domain_scores_codex":[0.9968178,0.00002131036,0.000854708,0.0005758625,0.001441066,0.0002892514],"domain_scores_gemma":[0.9947386,0.003547714,0.0004156966,0.0003505131,0.0007669443,0.0001805233],"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":[0.00001454009,0.00002911579,0.00000456214,0.00007627977,0.00002336642,0.00001110757,0.00002254254,0.000003045447,0.000009437805,0.8747286,0.006699224,0.1183782],"study_design_scores_gemma":[0.0001300225,0.00006006076,0.0003731687,0.0003311295,0.00006139409,0.00000552867,0.000002931028,0.00832755,0.00002024106,0.947145,0.04330355,0.0002393737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000005522124,0.00001357253,0.3941674,0.0001407115,0.0006920323,0.0001873241,0.0007288944,0.00002593022,0.6040386],"genre_scores_gemma":[0.000991066,0.000198857,0.7211073,0.00008891638,0.0001322311,0.0000220052,0.00004381659,0.00002163132,0.2773942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3269399,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411439877","doi":"10.1007/978-3-662-69359-9_683","title":"Tests of Fit Based on the Empirical Distribution Function","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Mathematical functions and polynomials","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":"Simon Fraser University","funders":"","keywords":"Empirical distribution function; Mathematics; Statistics","authors":[{"name":"Michael A. Stephens","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08267965281911246,"gpt":0.3560586523700904,"spread":0.273378999550978,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008189365,0.0002058177,0.0003423679,0.0001544637,0.0001008909,0.00002776599,0.0005638737,0.0001335518,0.004007068],"category_scores_gemma":[0.007068978,0.000136191,0.0001180085,0.0001352438,0.0008789357,0.00005839574,0.0001163063,0.0002718139,0.00004254702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391003,"about_ca_system_score_gemma":0.000417956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001032668,"about_ca_topic_score_gemma":0.000005443836,"domain_scores_codex":[0.99753,0.00002677527,0.0007160045,0.0003349685,0.001219042,0.0001732391],"domain_scores_gemma":[0.9919637,0.006671944,0.0003720747,0.0003796405,0.000528251,0.00008439913],"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":[0.00004919715,0.000105439,0.00002313569,0.00007433967,0.00002174488,0.000001281965,0.00001307006,0.00001290065,0.00001226067,0.9557289,0.04059766,0.00336002],"study_design_scores_gemma":[0.0001775172,0.0002250146,0.0008019823,0.0005072074,0.0001150797,0.00000155298,0.000007387702,0.006492826,0.00005890086,0.8652654,0.1261577,0.0001893778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001233941,0.000007445777,0.1293432,0.001161175,0.0007343942,0.0002939028,0.001853639,0.00002084907,0.866462],"genre_scores_gemma":[0.2736201,0.000195808,0.04420666,0.001285936,0.0009665521,0.0001515168,0.0005915951,0.00009359018,0.6788883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2734967,"threshold_uncertainty_score":0.9969034,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2403442979","doi":"10.1007/978-3-662-69359-9_143","title":"Cramér-Von Mises Statistics for Discrete Distributions","year":2025,"lang":"en","type":"book-chapter","venue":"International Encyclopedia of Statistical Science","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"von Mises distribution; Statistics; von Mises yield criterion; Mathematics; Engineering; Structural engineering","authors":[{"name":"Michael A. Stephens","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01514759690159656,"gpt":0.3140875146387128,"spread":0.2989399177371163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005835489,0.000306583,0.0004069936,0.0002755549,0.0001996687,0.000176496,0.002316258,0.0001496537,0.0001637988],"category_scores_gemma":[0.001557223,0.0002790942,0.0001138282,0.000142288,0.0009698871,0.000354352,0.0005600016,0.0002632061,0.00001371527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852922,"about_ca_system_score_gemma":0.0009549384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002306478,"about_ca_topic_score_gemma":0.00001038895,"domain_scores_codex":[0.997074,0.00001926647,0.0006714098,0.0008367401,0.001014672,0.0003838922],"domain_scores_gemma":[0.9964594,0.001480282,0.0003273753,0.0005156054,0.0009895086,0.0002278888],"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":[0.000009170941,0.00002127702,0.000002787346,0.0000380968,0.00002337249,0.000007517354,0.00002220422,0.000002644105,0.00001643932,0.8509021,0.01204906,0.1369053],"study_design_scores_gemma":[0.0001650187,0.00007847721,0.00009129383,0.0001214345,0.00003712188,0.000004621578,9.195917e-7,0.01380906,0.0000479765,0.7734265,0.2119566,0.0002609506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.449318e-7,0.00004382863,0.6168746,0.0004547895,0.001121446,0.0002298645,0.006922214,0.00002952604,0.3743235],"genre_scores_gemma":[0.0002345507,0.0003295048,0.8570046,0.0001134723,0.000147693,0.00003218467,0.000240126,0.00001241789,0.1418854],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.24013,"threshold_uncertainty_score":0.9999661,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}