{"meta":{"query_hash":"dd6f111d17d1","filters":{"venue":"Encyclopedia of Statistical Sciences"},"cohort_total":32,"direct_labels_cover":0,"predictions_cover":32,"exported":32,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/dd6f111d17d1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Encyclopedia+of+Statistical+Sciences"},"results":[{"id":"W1484712862","doi":"10.1002/0471667196.ess0731","title":"Small Area Estimation","year":2003,"lang":"en","type":"book","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Small area estimation; Mathematics; Statistics; Exponential family; Estimator; Linear model; Generalized linear mixed model; Generalized linear model; Bayes' theorem; Multivariate statistics; Bayesian probability","score_opus":0.08328228167444557,"score_gpt":0.35680046551216954,"score_spread":0.27351818383772397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484712862","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000041881462,0.00004810619,0.52391475,0.000025591164,0.0002195839,0.00017085449,0.00027570856,0.00002453108,0.4753167],"genre_scores_gemma":[0.000021461005,0.00014766266,0.8922656,0.000042798332,0.00007447657,0.000018970726,0.000027044318,0.000025313775,0.10737666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971311,0.00018429299,0.0008533313,0.0005859425,0.00080054643,0.00044478022],"domain_scores_gemma":[0.9903773,0.008511572,0.0004605374,0.00029500094,0.0001434798,0.00021211765],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011258639,0.00036644813,0.00077851926,0.00014951231,0.00015471708,0.000055702552,0.00048563766,0.00027151554,0.0027177248],"category_scores_gemma":[0.008350574,0.0002862691,0.00008990425,0.00021138001,0.0025312684,0.00007225332,0.00007927169,0.0003616133,0.000063541534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004132333,0.000049070808,0.000019460373,0.00023675316,0.00001347829,0.000013736076,0.000059283717,9.2567046e-7,8.025166e-7,0.8978393,0.043436557,0.058326468],"study_design_scores_gemma":[0.0001041239,0.00024007256,0.000057300145,0.00025770254,0.000111082,0.000007779869,0.000012241374,0.00085144874,0.0000060404777,0.9773644,0.020642988,0.0003448162],"about_ca_topic_score_codex":0.000007920076,"about_ca_topic_score_gemma":0.0000071549516,"teacher_disagreement_score":0.36835086,"about_ca_system_score_codex":0.00007903859,"about_ca_system_score_gemma":0.0008794633,"threshold_uncertainty_score":0.99995893},"labels":[],"label_agreement":null},{"id":"W1505191810","doi":"10.1002/0471667196.ess6032.pub2","title":"Income Distribution Models","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Remainder; Outcome (game theory); Pareto principle; Analogy; Econometrics; Transformation (genetics); Distribution (mathematics); Computer science; Set (abstract data type); Socioeconomic status; Economic model; Mathematical economics; Probability distribution; Mathematics; Statistics; Economics; Population; Sociology; Demography","score_opus":0.026862163669196453,"score_gpt":0.3322125152367192,"score_spread":0.3053503515675227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505191810","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044506018,0.00040854566,0.029231912,0.00026348594,0.000794471,0.00024950804,0.001487816,0.00011427071,0.9674055],"genre_scores_gemma":[0.050687175,0.009531395,0.019590927,0.00018623975,0.0037480656,0.000040303512,0.00028794553,0.00014891646,0.91577905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970215,0.0002882945,0.0004353659,0.0004381911,0.0012613462,0.00055532454],"domain_scores_gemma":[0.9987661,0.0004480779,0.00029984867,0.00018985273,0.00006837338,0.00022772726],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013588179,0.00021439006,0.00042016793,0.00010850728,0.00037244114,0.000058190602,0.00067020685,0.00029492594,0.010020393],"category_scores_gemma":[0.00073399016,0.00017907291,0.00007350428,0.0004647458,0.0026498798,0.00022124177,0.000088807974,0.00019344955,0.00014259352],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033967133,0.000065734355,0.000642976,0.000035984875,0.000008440574,0.000002167126,0.0005473874,0.000009199072,1.5575937e-7,0.79294896,0.19393224,0.011803375],"study_design_scores_gemma":[0.00010378564,0.00006857446,0.0012443279,0.00008723107,0.000021686119,2.4862217e-7,0.00035031745,0.00021705666,6.647147e-7,0.039357327,0.9582532,0.00029557553],"about_ca_topic_score_codex":0.015449185,"about_ca_topic_score_gemma":0.0053920154,"teacher_disagreement_score":0.76432097,"about_ca_system_score_codex":0.0001161445,"about_ca_system_score_gemma":0.00054609834,"threshold_uncertainty_score":0.99110705},"labels":[],"label_agreement":null},{"id":"W1596156895","doi":"10.1002/0471667196.ess6056","title":"Graph‐Theoretical Methods","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Simón Bolívar; McMaster University","keywords":"Nonparametric statistics; Cluster analysis; Graph; Outlier; Generalization; Computer science; Mathematics; Combinatorics; Artificial intelligence; Statistics","score_opus":0.06084504734893728,"score_gpt":0.467547817821896,"score_spread":0.40670277047295866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596156895","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.635117e-7,0.0002079206,0.5117074,0.000063871645,0.00021039948,0.00017058507,0.0002958094,0.00007734197,0.48726618],"genre_scores_gemma":[0.000018368242,0.0007691588,0.87933725,0.00004945596,0.0003219403,0.000026768726,0.0000078070925,0.00017457338,0.11929465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967518,0.00050579256,0.00069194124,0.00071049365,0.0007459186,0.00059407775],"domain_scores_gemma":[0.99190444,0.007035936,0.00035244663,0.0003592973,0.000050547318,0.00029735686],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015950167,0.00039935316,0.00093646086,0.00024550446,0.00010036876,0.00002313056,0.00057763985,0.000300459,0.025085734],"category_scores_gemma":[0.005779963,0.0002949773,0.000116102885,0.00038159668,0.0041289865,0.000051359002,0.0001456657,0.00034267252,0.000044029253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005015656,0.00007717431,0.000003836744,0.000101753045,0.000018964793,0.000006235379,0.000028089446,7.8183905e-7,0.0000031669395,0.7498486,0.11839556,0.13151082],"study_design_scores_gemma":[0.000119408425,0.00013911429,0.000009791759,0.00011481208,0.0000854125,0.0000037214566,0.000025617159,0.00027487832,0.0000137175675,0.78085905,0.21804802,0.00030643248],"about_ca_topic_score_codex":0.000033969372,"about_ca_topic_score_gemma":0.000018556078,"teacher_disagreement_score":0.36797154,"about_ca_system_score_codex":0.000021326721,"about_ca_system_score_gemma":0.00012774848,"threshold_uncertainty_score":0.99995023},"labels":[],"label_agreement":null},{"id":"W1896577439","doi":"10.1002/0471667196.ess4076","title":"Income and Wealth Distributions,<scp>D</scp>agum System of","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wealth distribution; Distribution (mathematics); Econometrics; Economics; Type (biology); Mathematics; Mathematical analysis; Geology; Inequality","score_opus":0.016658527855883818,"score_gpt":0.31311875076551066,"score_spread":0.2964602229096268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1896577439","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019784127,0.0009765399,0.00605297,0.00007988229,0.0008948959,0.0004009079,0.002107369,0.00008946744,0.98741955],"genre_scores_gemma":[0.7370172,0.010707994,0.028841268,0.00007405754,0.0019702194,0.00006590273,0.00015927172,0.00019079773,0.22097325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99696666,0.00033940727,0.0006075111,0.00044128607,0.0011106948,0.00053441623],"domain_scores_gemma":[0.99763787,0.001228906,0.00055613095,0.00019303753,0.00009538765,0.0002886785],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017268497,0.00022327167,0.0006222359,0.00017621892,0.00039343955,0.000044850734,0.0005399333,0.00027414018,0.00035115329],"category_scores_gemma":[0.0021893324,0.0001821861,0.00006209276,0.00057662226,0.004043301,0.00011460118,0.000112270915,0.0001841331,0.000026906337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016861729,0.00007130044,0.012398322,0.00056941435,0.000016052532,0.000004318329,0.00128095,6.2453665e-7,0.0000010684689,0.9603384,0.02427517,0.0010427037],"study_design_scores_gemma":[0.00070252904,0.00063606276,0.07599415,0.0017317582,0.00016179985,0.0000041534886,0.013694432,0.000040601295,0.000015361002,0.04494014,0.8615939,0.00048514147],"about_ca_topic_score_codex":0.025155427,"about_ca_topic_score_gemma":0.0028866462,"teacher_disagreement_score":0.91539824,"about_ca_system_score_codex":0.00015469076,"about_ca_system_score_gemma":0.0010413523,"threshold_uncertainty_score":0.9986671},"labels":[],"label_agreement":null},{"id":"W2113376504","doi":"10.1002/0471667196.ess7125","title":"SemiParametric Analysis of Competing Risks Data","year":2010,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Censoring (clinical trials); Covariate; Hazard; Cumulative incidence; Confidence interval; Hazard ratio; Econometrics; Proportional hazards model; Cumulative risk; Statistics; Computer science; Medicine; Mathematics; Internal medicine","score_opus":0.1804774038184393,"score_gpt":0.45489677473676077,"score_spread":0.27441937091832147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113376504","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016192606,0.00017016189,0.33802053,0.000012940152,0.000263055,0.0001659992,0.0054341797,0.000037792546,0.6557334],"genre_scores_gemma":[0.001927984,0.00040924473,0.9888349,0.000010346064,0.000104850034,0.000005217565,0.00010767997,0.000066325585,0.008533419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969812,0.00023570666,0.00082873175,0.0006624376,0.000942797,0.00034911683],"domain_scores_gemma":[0.9849774,0.013065048,0.0008547871,0.00086176913,0.00008541691,0.0001555355],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019885437,0.0002584713,0.0012168963,0.0008421966,0.000058366855,0.000024790685,0.0014696429,0.00025289843,0.011141066],"category_scores_gemma":[0.023423087,0.00019334067,0.0000835729,0.0025208765,0.0016681008,0.00003900573,0.00041725062,0.00037402238,0.000011631991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070085975,0.00027437494,0.0077958945,0.00047171308,0.00061066163,0.000008179436,0.000097422155,0.0000032731348,0.00001724313,0.8088815,0.09368705,0.08814566],"study_design_scores_gemma":[0.00067377015,0.0007953137,0.034011796,0.0009804362,0.012779182,0.000004771705,0.0005215569,0.05401629,0.000056674715,0.6636045,0.23039661,0.0021591238],"about_ca_topic_score_codex":0.0015675467,"about_ca_topic_score_gemma":0.0004914201,"teacher_disagreement_score":0.6508144,"about_ca_system_score_codex":0.000008293414,"about_ca_system_score_gemma":0.00016335431,"threshold_uncertainty_score":0.9897629},"labels":[],"label_agreement":null},{"id":"W2922601328","doi":"10.1002/0471667196.ess1145.pub3","title":"Repairable Systems in Reliability","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ASTER","funders":"","keywords":"Encyclopedia; Citation; Reliability (semiconductor); Computer science; Library science; Physics","score_opus":0.005923039002681355,"score_gpt":0.22992407166880982,"score_spread":0.22400103266612847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922601328","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059418675,0.0011601276,0.01669944,0.000021980837,0.0006502331,0.00028871963,0.00011501313,0.00018197387,0.9808231],"genre_scores_gemma":[0.01812755,0.03615896,0.28963467,0.00004004922,0.0011366876,0.00024549177,0.0001257662,0.00057314226,0.65395766],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99875134,0.000042371583,0.00037726993,0.0002834634,0.00028153474,0.00026399267],"domain_scores_gemma":[0.999487,0.000182094,0.0000633457,0.00019023007,0.000017922663,0.000059434442],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049524556,0.00015137813,0.00032453897,0.00013959661,0.000017791655,0.000016526943,0.00020582107,0.00016436746,0.0012405611],"category_scores_gemma":[0.0003452524,0.00012683765,0.00002505545,0.00031969397,0.00038037446,0.0000712966,0.000021156726,0.00014551844,0.000037872083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055940986,0.00011009372,0.0014604899,0.0011877365,0.00001198224,0.000008096699,0.000135768,0.32977295,0.0000035440337,0.0333087,0.62033737,0.013657697],"study_design_scores_gemma":[0.00014177797,0.00006610649,0.001035136,0.00039649828,0.000011647348,0.0000012255346,0.000071117865,0.13472222,0.0000018846569,0.0011231638,0.86211795,0.0003112797],"about_ca_topic_score_codex":0.0009867502,"about_ca_topic_score_gemma":0.00028289756,"teacher_disagreement_score":0.32686543,"about_ca_system_score_codex":0.000062438965,"about_ca_system_score_gemma":0.00005583852,"threshold_uncertainty_score":0.9996724},"labels":[],"label_agreement":null},{"id":"W4210570189","doi":"10.1002/0471667196.ess7249","title":"Cluster Randomization","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Cancer Care Ontario","funders":"","keywords":"Popularity; Psychological intervention; Cluster randomised controlled trial; Randomization; Cluster (spacecraft); Intervention (counseling); Psychology; Medical education; Family medicine; Medicine; Gerontology; Clinical trial; Computer science; Nursing; Social psychology","score_opus":0.1953304819831673,"score_gpt":0.5968190625720349,"score_spread":0.4014885805888676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210570189","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025431218,0.000063817715,0.03685154,0.002211295,0.0009559111,0.0010712006,0.0005746484,0.000095423035,0.95815074],"genre_scores_gemma":[0.00042296387,0.0011112767,0.070088424,0.0057880506,0.0017115743,0.00019427505,0.00004076318,0.00013570634,0.92050695],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961522,0.0008634099,0.0009887695,0.00042527574,0.000886411,0.0006839155],"domain_scores_gemma":[0.9941008,0.0046063196,0.00075346377,0.000207631,0.000078881196,0.00025287285],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024033021,0.00019153452,0.0004778484,0.00032949157,0.00036246612,0.000009064266,0.0004390052,0.00022955015,0.072378285],"category_scores_gemma":[0.0038830964,0.00014579116,0.000033401244,0.00054695184,0.0008124103,0.000100070516,0.00011413551,0.00030899755,0.0015019502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012427086,0.000011413903,0.0010965376,0.00016602867,0.0000042848283,5.158593e-7,0.0007557525,0.0000025797026,7.2468947e-7,0.016334226,0.97370845,0.007907067],"study_design_scores_gemma":[0.0011087413,0.000053060263,0.0011897762,0.00016870866,0.000015106788,3.237339e-7,0.00025326805,0.00012603067,4.152262e-7,0.00068595103,0.99624324,0.00015538848],"about_ca_topic_score_codex":0.0009883981,"about_ca_topic_score_gemma":0.0011302312,"teacher_disagreement_score":0.07087634,"about_ca_system_score_codex":0.00007167489,"about_ca_system_score_gemma":0.0011515142,"threshold_uncertainty_score":0.9992755},"labels":[],"label_agreement":null},{"id":"W4213286170","doi":"10.1002/0471667196.ess4068.pub2","title":"Geographic Information Systems","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Syracuse University","keywords":"Computer science; Raster graphics; Geographic information system; Raster data; GIS file format; Software; Data mining; Spatial analysis; Visualization; Vector map; GIS applications; AM/FM/GIS; Information system; Digital mapping; Database; Information retrieval; Cartography; Geography; Remote sensing; Computer graphics (images); Artificial intelligence; Engineering","score_opus":0.011113651915035553,"score_gpt":0.28626730666031014,"score_spread":0.2751536547452746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213286170","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009989948,0.0010526875,0.0024050793,0.00017103167,0.0015107775,0.0005925715,0.00034647458,0.00019480285,0.9937166],"genre_scores_gemma":[0.023077872,0.025151463,0.014860362,0.00023589627,0.0029934414,0.0002862903,0.0001747115,0.00015288446,0.9330671],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99687266,0.00014810407,0.0007086605,0.00020343249,0.0015703248,0.000496826],"domain_scores_gemma":[0.99844193,0.0003546655,0.0007079949,0.0001711417,0.00016296319,0.00016129705],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014678015,0.00021939843,0.00044149757,0.0007911827,0.00047756924,0.00014297456,0.00055516476,0.00026699866,0.0024616963],"category_scores_gemma":[0.0005527083,0.00018528002,0.00007283299,0.0009183349,0.0024838701,0.000520123,0.00007208318,0.00015141476,0.0004545757],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014889464,0.00001678839,0.002388948,0.00013641489,0.000032243344,6.1683744e-7,0.0027806074,0.000010227977,1.9783732e-8,0.64644396,0.3394108,0.0087778615],"study_design_scores_gemma":[0.0000925031,0.000038911385,0.001253709,0.00014400808,0.000023166811,6.6815295e-7,0.0052601914,0.00002143616,3.1006188e-8,0.00038848928,0.99255544,0.00022143348],"about_ca_topic_score_codex":0.021756625,"about_ca_topic_score_gemma":0.0024481148,"teacher_disagreement_score":0.65314466,"about_ca_system_score_codex":0.00003522711,"about_ca_system_score_gemma":0.00028628035,"threshold_uncertainty_score":0.99845016},"labels":[],"label_agreement":null},{"id":"W4229780670","doi":"10.1002/0471667196.ess7005.pub2","title":"Cluster Randomization","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Citation; Encyclopedia; Library science; Computer science","score_opus":0.006662341244515863,"score_gpt":0.2798306361277294,"score_spread":0.27316829488321354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229780670","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000552331,0.0000900523,0.26549807,0.00003454327,0.00006538734,0.00014212946,0.0000934926,0.000042213396,0.7340286],"genre_scores_gemma":[0.0125857685,0.00029769895,0.19802895,0.000058136837,0.0026969295,0.00005874454,0.00022207297,0.00016852465,0.7858832],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988893,0.000063043044,0.00027686538,0.00027053608,0.00030764134,0.00019259498],"domain_scores_gemma":[0.99931276,0.000245747,0.00022343313,0.00014033527,0.000020169002,0.00005753662],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022219724,0.00015481774,0.00035466647,0.00013902225,0.000047206053,0.000023105826,0.00026482635,0.00004961829,0.04153438],"category_scores_gemma":[0.000023619557,0.000121282144,0.000067798515,0.00024934544,0.0003679461,0.00003661411,0.00006240484,0.00008730047,0.00006336084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057267835,0.00005027186,0.0014750183,0.000009882884,0.00003529964,2.3833934e-7,0.000020567099,0.00003059789,5.8299463e-7,0.106035195,0.81222075,0.080115885],"study_design_scores_gemma":[0.0004180385,0.000035303558,0.00019388786,0.0000684218,0.000086564374,1.1975973e-7,0.000018209303,0.0018220993,0.000005408148,0.014365074,0.9827479,0.00023898842],"about_ca_topic_score_codex":0.00049157755,"about_ca_topic_score_gemma":0.000063888954,"teacher_disagreement_score":0.17052716,"about_ca_system_score_codex":0.000007053209,"about_ca_system_score_gemma":0.00005651539,"threshold_uncertainty_score":0.95934176},"labels":[],"label_agreement":null},{"id":"W4229936406","doi":"10.1002/0471667196.ess5081.pub2","title":"Monte Carlo Studies, Empirical Response Surfaces in","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Monte Carlo method; Statistical physics; Monte Carlo method in statistical physics; Computer science; Simple (philosophy); Monte Carlo molecular modeling; Bridge (graph theory); Hybrid Monte Carlo; Dynamic Monte Carlo method; Mathematics; Markov chain Monte Carlo; Physics; Statistics; Medicine; Epistemology","score_opus":0.12373919994245026,"score_gpt":0.4286557338885917,"score_spread":0.30491653394614143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229936406","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006043481,0.023831764,0.022088759,0.002231917,0.0032998356,0.001213601,0.0010838249,0.00029783038,0.939909],"genre_scores_gemma":[0.030932974,0.0038557723,0.13044469,0.00015824477,0.0005673933,0.00005553674,0.000003431734,0.00019632744,0.83378565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942408,0.0006732498,0.0011715249,0.0010035441,0.0023336248,0.0005772091],"domain_scores_gemma":[0.98760104,0.0111881895,0.00038160407,0.0004945869,0.00012337681,0.00021119327],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0068571614,0.00036706027,0.0010468331,0.00078964996,0.0000803496,0.000070637856,0.0014177668,0.00026721857,0.002941192],"category_scores_gemma":[0.025264898,0.00023759034,0.00008650071,0.0015767962,0.0019427476,0.00011846178,0.0002420884,0.00031566952,0.00023509347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000998289,0.0001306383,0.0037993868,0.000041644234,0.000030139789,0.00008244611,0.00069096475,0.006641559,0.0000023788443,0.0035950136,0.96878475,0.016101265],"study_design_scores_gemma":[0.00037297705,0.00035694512,0.014026588,0.00029051054,0.000031141815,0.000006522969,0.00089248846,0.0063387835,0.0000015473223,0.0073547247,0.9697335,0.00059432146],"about_ca_topic_score_codex":0.0002765482,"about_ca_topic_score_gemma":0.0006392608,"teacher_disagreement_score":0.10835594,"about_ca_system_score_codex":0.00009307168,"about_ca_system_score_gemma":0.0005224976,"threshold_uncertainty_score":0.9979703},"labels":[],"label_agreement":null},{"id":"W4230729070","doi":"10.1002/0471667196.ess7005","title":"Cluster Randomization","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Popularity; Psychological intervention; Cluster randomised controlled trial; Randomization; Cluster (spacecraft); Intervention (counseling); Psychology; Medical education; Family medicine; Medicine; Clinical trial; Computer science; Nursing; Social psychology; Pathology","score_opus":0.1953304819831673,"score_gpt":0.5968190625720349,"score_spread":0.4014885805888676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230729070","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025431218,0.000063817715,0.03685154,0.002211295,0.0009559111,0.0010712006,0.0005746484,0.000095423035,0.95815074],"genre_scores_gemma":[0.00042296387,0.0011112767,0.070088424,0.0057880506,0.0017115743,0.00019427505,0.00004076318,0.00013570634,0.92050695],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961522,0.0008634099,0.0009887695,0.00042527574,0.000886411,0.0006839155],"domain_scores_gemma":[0.9941008,0.0046063196,0.00075346377,0.000207631,0.000078881196,0.00025287285],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024033021,0.00019153452,0.0004778484,0.00032949157,0.00036246612,0.000009064266,0.0004390052,0.00022955015,0.072378285],"category_scores_gemma":[0.0038830964,0.00014579116,0.000033401244,0.00054695184,0.0008124103,0.000100070516,0.00011413551,0.00030899755,0.0015019502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012427086,0.000011413903,0.0010965376,0.00016602867,0.0000042848283,5.158593e-7,0.0007557525,0.0000025797026,7.2468947e-7,0.016334226,0.97370845,0.007907067],"study_design_scores_gemma":[0.0011087413,0.000053060263,0.0011897762,0.00016870866,0.000015106788,3.237339e-7,0.00025326805,0.00012603067,4.152262e-7,0.00068595103,0.99624324,0.00015538848],"about_ca_topic_score_codex":0.0009883981,"about_ca_topic_score_gemma":0.0011302312,"teacher_disagreement_score":0.07087634,"about_ca_system_score_codex":0.00007167489,"about_ca_system_score_gemma":0.0011515142,"threshold_uncertainty_score":0.9992755},"labels":[],"label_agreement":null},{"id":"W4235435413","doi":"10.1002/0471667196.ess7147","title":"Applicability of Statistics and Probability Theory to Nucleate Pool Boiling Heat Transfer","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nucleation; Boiling; Nucleate boiling; Heat transfer; Monte Carlo method; Boiling heat transfer; Population; Statistical physics; Thermodynamics; Mechanics; Materials science; Mathematics; Statistics; Physics; Heat transfer coefficient; Demography","score_opus":0.009779401784342504,"score_gpt":0.2468961562824418,"score_spread":0.2371167544980993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235435413","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067901793,0.0010454344,0.54805183,0.000051242318,0.00023665436,0.0008900091,0.004139468,0.00020808088,0.43858713],"genre_scores_gemma":[0.4772982,0.011279948,0.49571168,0.00012457001,0.00074204634,0.00022589271,0.00007156033,0.00065912114,0.013887],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998277,0.00006551514,0.0005011639,0.00041720827,0.00038903905,0.00035004714],"domain_scores_gemma":[0.99894017,0.0006582483,0.000009114058,0.00018931797,0.000037674046,0.00016544908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006050977,0.00027958624,0.0006171731,0.000109768815,0.00005664664,0.0000130150975,0.00021826739,0.0001303066,0.00078518223],"category_scores_gemma":[0.00017339952,0.00022607773,0.0000391951,0.00022507568,0.0011205082,0.00003389957,0.00003218199,0.0001691659,0.000008255191],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001443437,0.00063105,0.0038878026,0.011252572,0.00043138856,0.0000136488425,0.0054167565,0.0040356065,0.0012032021,0.29282963,0.053561646,0.62659234],"study_design_scores_gemma":[0.0036469263,0.004470402,0.059725195,0.003926725,0.0018770546,0.00002151205,0.0030250167,0.014931547,0.00489177,0.15016608,0.7455897,0.0077280807],"about_ca_topic_score_codex":0.00015758538,"about_ca_topic_score_gemma":0.00033383747,"teacher_disagreement_score":0.69202805,"about_ca_system_score_codex":0.00002415242,"about_ca_system_score_gemma":0.00005491371,"threshold_uncertainty_score":0.9219182},"labels":[],"label_agreement":null},{"id":"W4236544653","doi":"10.1002/0471667196.ess5023.pub2","title":"Principal Differential Analysis","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Basis (linear algebra); Differential equation; Mathematics; Fourier series; Principal (computer security); Set (abstract data type); Applied mathematics; Differential (mechanical device); Linear differential equation; Principal component analysis; Basis function; Mathematical analysis; Computer science; Statistics","score_opus":0.04081291168442181,"score_gpt":0.3454178622534515,"score_spread":0.3046049505690297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236544653","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000033275406,0.00020294124,0.42651504,0.00004382044,0.00043861716,0.00012072654,0.00032454915,0.000060469178,0.57226056],"genre_scores_gemma":[0.020461561,0.00032389222,0.11297544,0.000026659905,0.00083971274,0.000018436192,0.000033784247,0.00010020504,0.8652203],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99504125,0.00016287185,0.00088550523,0.0008797535,0.0025808436,0.000449749],"domain_scores_gemma":[0.99660754,0.0020664833,0.0004584748,0.00053949526,0.000083674284,0.00024430777],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013956979,0.00030729015,0.00093453476,0.001100337,0.00009246438,0.000111429705,0.0015562564,0.00022898454,0.05175444],"category_scores_gemma":[0.0034427731,0.00019566402,0.00021905491,0.0022910344,0.0012349513,0.000070676986,0.0002036329,0.00019901496,0.00039736347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013318898,0.00022826849,0.0030757925,0.000040410345,0.0004124423,0.000021826072,0.00014694702,0.003102248,0.000006270095,0.19900295,0.7264541,0.06749546],"study_design_scores_gemma":[0.00021212411,0.00016439994,0.014953385,0.000049399692,0.00068668305,0.0000021263993,0.000058730646,0.01563701,0.000003084496,0.011135205,0.95647997,0.0006178837],"about_ca_topic_score_codex":0.00018780476,"about_ca_topic_score_gemma":0.00019911968,"teacher_disagreement_score":0.3135396,"about_ca_system_score_codex":0.000025249323,"about_ca_system_score_gemma":0.00020280406,"threshold_uncertainty_score":0.94911236},"labels":[],"label_agreement":null},{"id":"W4237091569","doi":"10.1002/0471667196.ess7137","title":"Methods of Risks Estimation and Analysis of Business Processes","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Estimation; Computer science; Profit (economics); Business process; Risk analysis (engineering); Inefficiency; Risk management; Task (project management); Econometrics; Mathematical optimization; Operations research; Mathematics; Work in process; Economics; Operations management; Business; Finance","score_opus":0.0378761516309403,"score_gpt":0.35511958692321,"score_spread":0.3172434352922697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237091569","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010880898,0.0022206446,0.7081488,0.00011750505,0.00011131918,0.00014997454,0.00016234514,0.000054477077,0.28794685],"genre_scores_gemma":[0.21442321,0.0054946225,0.7634054,0.000104875595,0.0007605074,0.000033933557,0.00039060175,0.00018974369,0.015197106],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832255,0.000020556368,0.0005884121,0.00038527144,0.00050408655,0.0001791191],"domain_scores_gemma":[0.99800587,0.0003156773,0.0010690365,0.00015185223,0.00044204504,0.000015536385],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000686897,0.00021257195,0.000876606,0.001402822,0.000058494486,0.000046591424,0.0003074568,0.00012171674,0.0011090597],"category_scores_gemma":[0.0014950709,0.00016386119,0.000063251464,0.0049618403,0.0008081157,0.00028782216,0.000103458035,0.00006874004,0.0000027467781],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035265275,0.00046193344,0.028745225,0.0125356065,0.0013101711,0.0000023897942,0.00015451366,0.021446342,0.00003759324,0.034644432,0.007253805,0.8933727],"study_design_scores_gemma":[0.0006010223,0.000051741747,0.06757379,0.001656393,0.018046591,8.0090166e-7,0.00037939512,0.8386274,0.000049497998,0.01512712,0.056559622,0.0013266039],"about_ca_topic_score_codex":0.004255625,"about_ca_topic_score_gemma":0.00035994686,"teacher_disagreement_score":0.8920461,"about_ca_system_score_codex":0.000004309163,"about_ca_system_score_gemma":0.00010565799,"threshold_uncertainty_score":0.9998041},"labels":[],"label_agreement":null},{"id":"W4237127189","doi":"10.1002/0471667196.ess3198","title":"Precedence Testing","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Citation; Library science; Encyclopedia; Information retrieval; Computer science; Mathematics","score_opus":0.14496001568713834,"score_gpt":0.4646128452832503,"score_spread":0.31965282959611196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237127189","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016170776,0.00083367317,0.059160087,0.00006841818,0.0006920457,0.000278171,0.0002405147,0.000097595315,0.9386133],"genre_scores_gemma":[0.00034653788,0.000104294595,0.6082994,0.00004380312,0.00032508062,0.000013130658,0.0000021810517,0.00007360092,0.390792],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936056,0.0004977674,0.0010080524,0.001093562,0.0032617203,0.00053326314],"domain_scores_gemma":[0.98973024,0.008580837,0.000755381,0.0005294572,0.00013394124,0.00027012464],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004125641,0.00034193514,0.00072891975,0.00051645533,0.00013529169,0.00017073442,0.002139073,0.00021602455,0.033973347],"category_scores_gemma":[0.021998046,0.00023826052,0.00008234327,0.0017643451,0.002188561,0.00020381517,0.0003511096,0.00024340015,0.0011442374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006531653,0.00008816868,0.0014299914,0.000016818369,0.000009434258,0.000011601792,0.00010438666,0.000033173266,0.0001128453,0.023608444,0.5002092,0.47436938],"study_design_scores_gemma":[0.00015645966,0.00043857144,0.00211408,0.00018514882,0.000024306293,0.000008855828,0.00024575484,0.0015366735,0.00011444574,0.021056723,0.97355866,0.0005602984],"about_ca_topic_score_codex":0.00039908962,"about_ca_topic_score_gemma":0.00006157424,"teacher_disagreement_score":0.54913926,"about_ca_system_score_codex":0.00003438332,"about_ca_system_score_gemma":0.00032866024,"threshold_uncertainty_score":0.9996335},"labels":[],"label_agreement":null},{"id":"W4237557945","doi":"10.1002/0471667196.ess5083","title":"<scp>B</scp>ox–<scp>C</scp>ox Transformations: Selecting for Symmetry","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Citation; Encyclopedia; Library science; Computer science","score_opus":0.015282669156785045,"score_gpt":0.29379413166004925,"score_spread":0.2785114625032642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237557945","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007896385,0.0010563397,0.5435533,0.00007435504,0.0005619479,0.00045207574,0.00020572412,0.00014832192,0.45394003],"genre_scores_gemma":[0.00016414796,0.0011993608,0.8946327,0.00023487366,0.0007037308,0.00009931415,0.000024119541,0.000101565114,0.10284021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956708,0.00023468341,0.0008574387,0.0010879441,0.0010737034,0.0010754127],"domain_scores_gemma":[0.99250007,0.0059721875,0.00054086273,0.00048251107,0.00013982132,0.00036454937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018288948,0.0005350145,0.000800251,0.00057142734,0.00038709,0.00027853044,0.0020326364,0.0004121826,0.00009569751],"category_scores_gemma":[0.0030683721,0.00044351595,0.00019219305,0.0013370888,0.0006297406,0.0005456658,0.00016296838,0.00043742085,0.00005304305],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.85281e-7,0.00009037831,0.00002673394,0.00020779556,0.000035201483,0.0000035060227,0.0010566098,0.000008574125,0.00001046157,0.44458112,0.39478588,0.15919325],"study_design_scores_gemma":[0.00035742114,0.0003125059,0.00011062233,0.00022998177,0.00007198483,0.000017719118,0.00018997816,0.011422485,0.00011513292,0.087540366,0.8994421,0.0001897476],"about_ca_topic_score_codex":0.00010960931,"about_ca_topic_score_gemma":0.00009595318,"teacher_disagreement_score":0.50465614,"about_ca_system_score_codex":0.000054295142,"about_ca_system_score_gemma":0.00051556394,"threshold_uncertainty_score":0.99980164},"labels":[],"label_agreement":null},{"id":"W4241521182","doi":"10.1002/0471667196.ess3198.pub2","title":"Precedence Testing","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Citation; Encyclopedia; Library science; Information retrieval; Computer science; Mathematics; World Wide Web","score_opus":0.0783440228576063,"score_gpt":0.39003232328178283,"score_spread":0.3116883004241765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241521182","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000031476231,0.000045745077,0.35390198,0.00008188618,0.000067982124,0.00018058832,0.0010922818,0.00012296335,0.6445034],"genre_scores_gemma":[0.0010642867,0.00009838346,0.7630187,0.00003902283,0.00025898404,0.00005927414,0.000054640128,0.00009323739,0.23531343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983126,0.00005143347,0.00044127778,0.00036414247,0.0005539845,0.0002765567],"domain_scores_gemma":[0.9966549,0.0026081428,0.00032538743,0.00019996644,0.00006804789,0.00014354172],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027832002,0.00019492408,0.00032738966,0.00010519279,0.000101888654,0.00002554669,0.00036916137,0.0001235635,0.016542118],"category_scores_gemma":[0.005738624,0.00016219422,0.00003214164,0.00047453245,0.0009099039,0.000039793867,0.000061714825,0.00014189024,0.00025883908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.223707e-7,0.0000576471,0.00003636622,0.000060854592,0.000004631018,7.467466e-7,0.000010033227,9.358732e-7,0.0000019407116,0.6505858,0.32938546,0.019855099],"study_design_scores_gemma":[0.00022567534,0.0001372823,0.0021701653,0.0004350466,0.0001082824,0.000007817741,0.00005932501,0.0027297195,0.00001484301,0.3420308,0.6514997,0.00058135117],"about_ca_topic_score_codex":0.00009492944,"about_ca_topic_score_gemma":0.00004607093,"teacher_disagreement_score":0.40918997,"about_ca_system_score_codex":0.000023252698,"about_ca_system_score_gemma":0.0001508871,"threshold_uncertainty_score":0.9843569},"labels":[],"label_agreement":null},{"id":"W4243142018","doi":"10.1002/0471667196.ess5098","title":"Continuous Multivariate Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Notation; Multivariate analysis; Computer science; Mathematics; Statistics; Arithmetic","score_opus":0.038374447974179736,"score_gpt":0.36684144441583194,"score_spread":0.3284669964416522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243142018","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000032838384,0.00003635052,0.5299759,0.00013122952,0.00011022507,0.00025876757,0.006586187,0.00012339714,0.46277466],"genre_scores_gemma":[0.010243989,0.00026448473,0.7474375,0.00006570865,0.00032936002,0.00022928485,0.0011954076,0.00024411919,0.23999014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981177,0.000063200336,0.00053033006,0.0004161397,0.0005324623,0.0003401546],"domain_scores_gemma":[0.9979542,0.001166124,0.0003664981,0.00024782948,0.0000760821,0.00018929581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023982431,0.00024760523,0.00046784847,0.00011505848,0.00014885106,0.00003167047,0.0003617803,0.00017551697,0.010325277],"category_scores_gemma":[0.0027466589,0.00020551244,0.000067701236,0.0004283039,0.0013085362,0.0000366142,0.00006728279,0.00017408293,0.00027598348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012395369,0.00013846903,0.000015048883,0.000061171406,0.0000130553135,0.000002480769,0.000013445252,6.857968e-7,0.0000024880737,0.73806494,0.26009017,0.001596806],"study_design_scores_gemma":[0.0003635658,0.00008259972,0.0011101791,0.0002170168,0.00010840391,0.000004009027,0.000045189892,0.00017554348,0.000012847,0.71006787,0.287454,0.0003588076],"about_ca_topic_score_codex":0.0003778999,"about_ca_topic_score_gemma":0.000060981325,"teacher_disagreement_score":0.22278452,"about_ca_system_score_codex":0.00005571059,"about_ca_system_score_gemma":0.0002558702,"threshold_uncertainty_score":0.9905794},"labels":[],"label_agreement":null},{"id":"W4243407595","doi":"10.1002/0471667196.ess0195.pub2","title":"Canadian Journal of Statistics","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Census and Population Estimation","field":"Mathematics","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Library science; Encyclopedia; Citation; Statistics; Computer science; Information retrieval; Mathematics","score_opus":0.02980754116349752,"score_gpt":0.3312229532172412,"score_spread":0.30141541205374367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243407595","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000054823813,0.00028319276,0.12728126,0.00011600512,0.00068637164,0.00014132039,0.001611553,0.000012991332,0.8698125],"genre_scores_gemma":[0.002171001,0.00031987307,0.83760303,0.000025379668,0.0006526916,0.0000017561866,0.000040399435,0.000094085415,0.15909179],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857384,0.000051502473,0.00054884533,0.00012705835,0.00048067205,0.00021805325],"domain_scores_gemma":[0.99835217,0.0005863725,0.00063186156,0.00010367918,0.000110547764,0.00021535267],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045081816,0.00013646518,0.000346658,0.0003040778,0.000062090156,0.000021593472,0.0002554674,0.00011846338,0.013861916],"category_scores_gemma":[0.0014641546,0.00010753382,0.000033517354,0.00018258463,0.00039743996,0.000045975026,0.000011500712,0.00013040422,0.000023989034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001064735,0.000018093084,0.001362605,0.00007095758,0.000010259715,0.000007355093,0.00010211244,0.0000065277763,1.679141e-7,0.3617432,0.6195865,0.017091136],"study_design_scores_gemma":[0.00016377923,0.00014296762,0.003281212,0.00021474666,0.00009209498,0.0000142603885,0.000040352086,0.00034708963,0.0000012948946,0.14460665,0.85087526,0.00022026364],"about_ca_topic_score_codex":0.00886499,"about_ca_topic_score_gemma":0.055341125,"teacher_disagreement_score":0.7107207,"about_ca_system_score_codex":0.000046682842,"about_ca_system_score_gemma":0.0009151633,"threshold_uncertainty_score":0.9977351},"labels":[],"label_agreement":null},{"id":"W4249358778","doi":"10.1002/0471667196.ess5023","title":"Principal Differential Analysis","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Control Systems and Identification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Basis (linear algebra); Mathematics; Differential equation; Fourier series; Principal (computer security); Set (abstract data type); Applied mathematics; Differential (mechanical device); Linear differential equation; Basis function; Principal component analysis; Mathematical analysis; Computer science; Statistics","score_opus":0.007047376577522056,"score_gpt":0.23838347919593234,"score_spread":0.23133610261841028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249358778","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035846626,0.00046359276,0.14887902,0.000008009547,0.0007427449,0.0001696075,0.0003219741,0.00014936943,0.84890723],"genre_scores_gemma":[0.67969596,0.0014100956,0.009065446,0.000005200714,0.0010008081,0.00006287826,0.00020197901,0.0002221089,0.30833554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892974,0.000017188024,0.00027947425,0.00022185098,0.0003643681,0.00018737951],"domain_scores_gemma":[0.99963725,0.000053700915,0.00008099698,0.0001433201,0.000012612548,0.000072130795],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009496742,0.00014248326,0.00035621907,0.00030126874,0.000028692622,0.000032303593,0.00021773469,0.00009923237,0.0038665023],"category_scores_gemma":[0.00003808756,0.000116872085,0.000074505675,0.00046038645,0.00019434791,0.000029003335,0.000019479337,0.00007477311,0.00006589558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013691195,0.00034529885,0.008600502,0.0019369868,0.00356691,0.000036546335,0.000703178,0.011887131,0.0006731454,0.2668336,0.62368894,0.081714086],"study_design_scores_gemma":[0.00072591216,0.00015096596,0.08664869,0.00031605508,0.002119146,0.000001917109,0.00007960718,0.028637338,0.00003643773,0.003764976,0.8762332,0.0012857394],"about_ca_topic_score_codex":0.00077775447,"about_ca_topic_score_gemma":0.0009376001,"teacher_disagreement_score":0.6793375,"about_ca_system_score_codex":0.000027764265,"about_ca_system_score_gemma":0.00003841812,"threshold_uncertainty_score":0.9970441},"labels":[],"label_agreement":null},{"id":"W4249414392","doi":"10.1002/0471667196.ess7151","title":"Optimal Sample Size Allocation for Accelerated Degradation Test Based on Wiener Process","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Reliability (semiconductor); Degradation (telecommunications); Wiener process; Reliability engineering; Accelerated life testing; Computer science; Process (computing); Product (mathematics); Variance (accounting); Statistics; Mathematics; Weibull distribution; Engineering; Power (physics)","score_opus":0.012421432497651003,"score_gpt":0.26824912194416034,"score_spread":0.25582768944650935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249414392","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000117517855,0.00004181078,0.75012016,0.00012732206,0.00029911502,0.000724798,0.0008935412,0.00017906664,0.24749666],"genre_scores_gemma":[0.024553327,0.000656695,0.9461411,0.000101928475,0.0004753208,0.00035403643,0.0005479667,0.0002457537,0.026923845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988315,0.000015600095,0.00028154466,0.00030645728,0.00031854416,0.00024634734],"domain_scores_gemma":[0.9980635,0.001565457,0.000100922756,0.00012277863,0.00008139311,0.000065970424],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021868512,0.00019262983,0.00022696635,0.00010796813,0.000059683694,0.000035428482,0.00020059952,0.00014872366,0.0011217548],"category_scores_gemma":[0.0025193298,0.00016171805,0.000028931163,0.00030670332,0.00022649897,0.000080613034,0.0000063402877,0.0000858265,0.000007907697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022853792,0.0001810169,0.0001694669,0.00048656552,0.000011949001,3.691913e-7,0.00005997726,0.8974947,0.000042406376,0.0031581244,0.07313739,0.02523522],"study_design_scores_gemma":[0.00032592504,0.00029950868,0.00036324284,0.00017983544,0.00003205407,1.8656966e-7,0.000031184718,0.93564916,0.00015675784,0.00057308935,0.06206361,0.0003254709],"about_ca_topic_score_codex":0.00005769224,"about_ca_topic_score_gemma":0.000069798254,"teacher_disagreement_score":0.22057281,"about_ca_system_score_codex":0.000045584715,"about_ca_system_score_gemma":0.00011687271,"threshold_uncertainty_score":0.9997914},"labels":[],"label_agreement":null},{"id":"W4251063057","doi":"10.1002/0471667196.ess6005","title":"Human Capital","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Economics; Estimation; Human capital; Variable (mathematics); Value (mathematics); Distribution (mathematics); Sample (material); Econometrics; Latent variable; Capital (architecture); Actuarial science; Statistics; Mathematics; Geography; Economic growth","score_opus":0.02206373192019322,"score_gpt":0.24728565450948978,"score_spread":0.22522192258929655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251063057","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001107312,0.0016310277,0.0020281132,0.00011205156,0.0006909954,0.00015794738,0.0012873856,0.0000418337,0.99294335],"genre_scores_gemma":[0.1915678,0.0010773535,0.023310114,0.00011631669,0.0013522786,0.000034829176,0.000089157904,0.00026451817,0.78218764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99859005,0.000011132405,0.00046989846,0.0005700626,0.000055633427,0.00030321485],"domain_scores_gemma":[0.9992002,0.000049585837,0.00042393708,0.00021179212,0.000006511643,0.000107968925],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004141786,0.00017963281,0.000509884,0.00023981462,0.00007770181,0.000028023194,0.00037224233,0.00014390466,0.01261051],"category_scores_gemma":[0.00016750688,0.00018688117,0.000060458035,0.00015474016,0.00078784954,0.00007771789,0.0000613683,0.00014114207,0.0010088707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.9954823e-7,0.000048642614,0.006553832,0.000059578557,0.000014427413,0.0000025195084,0.00006429357,0.000001942308,4.901514e-7,0.91907716,0.07373524,0.0004412505],"study_design_scores_gemma":[0.00018546487,0.00014093383,0.008402606,0.000037231468,0.000006311531,0.0000014437845,0.000021845977,0.0000047002018,0.0000026626353,0.5774757,0.41338578,0.00033532036],"about_ca_topic_score_codex":0.0030388026,"about_ca_topic_score_gemma":0.0002894598,"teacher_disagreement_score":0.3416015,"about_ca_system_score_codex":0.000039406743,"about_ca_system_score_gemma":0.00006881094,"threshold_uncertainty_score":0.999769},"labels":[],"label_agreement":null},{"id":"W4251834146","doi":"10.1002/0471667196.ess0227","title":"Characterizations of Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Statistical physics; Mathematics; Physics","score_opus":0.03842324696460899,"score_gpt":0.3597607360973603,"score_spread":0.32133748913275134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251834146","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011119816,0.000024567176,0.579104,0.00011210258,0.000074359734,0.00021484568,0.01176789,0.00005753472,0.40863356],"genre_scores_gemma":[0.038806587,0.0008541994,0.7948095,0.000054440996,0.0003230733,0.00026114617,0.0036131868,0.00029625243,0.16098161],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984312,0.00004300199,0.0005768607,0.0002751337,0.00046182255,0.00021198447],"domain_scores_gemma":[0.9983019,0.00078472024,0.0004766267,0.0002236408,0.00009349898,0.00011957003],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016493956,0.00017588388,0.00040585714,0.00013772243,0.00008938655,0.000011866889,0.00030318904,0.00012990872,0.008722956],"category_scores_gemma":[0.0018818395,0.00015127832,0.000059808026,0.00055226334,0.0013478036,0.000035990586,0.00005015335,0.000106043095,0.000064058164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.473041e-7,0.00017547698,0.000037094873,0.00013482118,0.0000130168655,5.6826156e-7,0.000016742073,7.852535e-7,0.00001362426,0.9011488,0.097509086,0.00094905257],"study_design_scores_gemma":[0.00033797204,0.00012821301,0.004637078,0.0004397132,0.00017807622,0.0000033232052,0.000055086723,0.00017558513,0.0000968824,0.8244296,0.16911745,0.00040102258],"about_ca_topic_score_codex":0.00010670493,"about_ca_topic_score_gemma":0.000028159851,"teacher_disagreement_score":0.24765193,"about_ca_system_score_codex":0.000030275196,"about_ca_system_score_gemma":0.00027949695,"threshold_uncertainty_score":0.9921832},"labels":[],"label_agreement":null},{"id":"W4252918069","doi":"10.1002/0471667196.ess7165","title":"Cluster Randomization","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Cancer Care Ontario","funders":"","keywords":"Popularity; Psychological intervention; Randomization; Cluster randomised controlled trial; Cluster (spacecraft); Intervention (counseling); Psychology; Medical education; Medicine; Family medicine; Clinical trial; Computer science; Nursing; Social psychology","score_opus":0.1953304819831673,"score_gpt":0.5968190625720349,"score_spread":0.4014885805888676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252918069","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025431218,0.000063817715,0.03685154,0.002211295,0.0009559111,0.0010712006,0.0005746484,0.000095423035,0.95815074],"genre_scores_gemma":[0.00042296387,0.0011112767,0.070088424,0.0057880506,0.0017115743,0.00019427505,0.00004076318,0.00013570634,0.92050695],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961522,0.0008634099,0.0009887695,0.00042527574,0.000886411,0.0006839155],"domain_scores_gemma":[0.9941008,0.0046063196,0.00075346377,0.000207631,0.000078881196,0.00025287285],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0024033021,0.00019153452,0.0004778484,0.00032949157,0.00036246612,0.000009064266,0.0004390052,0.00022955015,0.072378285],"category_scores_gemma":[0.0038830964,0.00014579116,0.000033401244,0.00054695184,0.0008124103,0.000100070516,0.00011413551,0.00030899755,0.0015019502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012427086,0.000011413903,0.0010965376,0.00016602867,0.0000042848283,5.158593e-7,0.0007557525,0.0000025797026,7.2468947e-7,0.016334226,0.97370845,0.007907067],"study_design_scores_gemma":[0.0011087413,0.000053060263,0.0011897762,0.00016870866,0.000015106788,3.237339e-7,0.00025326805,0.00012603067,4.152262e-7,0.00068595103,0.99624324,0.00015538848],"about_ca_topic_score_codex":0.0009883981,"about_ca_topic_score_gemma":0.0011302312,"teacher_disagreement_score":0.07087634,"about_ca_system_score_codex":0.00007167489,"about_ca_system_score_gemma":0.0011515142,"threshold_uncertainty_score":0.9992755},"labels":[],"label_agreement":null},{"id":"W4253555761","doi":"10.1002/0471667196.ess7153","title":"Step‐Stress Testing with Multiple Samples: The Exponential Case","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Inference; Stress (linguistics); Accelerated life testing; Exponential function; Statistics; Mathematics; Computer science; Statistical inference; Artificial intelligence","score_opus":0.06898230013060502,"score_gpt":0.3497994468618425,"score_spread":0.2808171467312375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253555761","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006748352,0.00004257493,0.6652482,0.00014544852,0.00006592018,0.00043479333,0.004496721,0.00010608294,0.32939273],"genre_scores_gemma":[0.022772502,0.000048545928,0.9373365,0.00005783651,0.00045895684,0.00019302493,0.00016587599,0.00014419056,0.038822558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811906,0.00009491507,0.0004431193,0.0003974443,0.0006179443,0.00032749368],"domain_scores_gemma":[0.99347866,0.0056285528,0.00037006187,0.00028797772,0.00009169962,0.00014308013],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000295726,0.0002464599,0.00032930862,0.0000763448,0.0002983765,0.000057041194,0.00036845327,0.0001001208,0.0050313324],"category_scores_gemma":[0.00331542,0.00014593662,0.00003393356,0.00045049618,0.0015739548,0.000043591066,0.000067955865,0.0001914843,0.000059985166],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006657542,0.00020736131,0.0003879389,0.00014647898,0.000030991312,0.000068275505,0.00009873438,0.000012725071,0.0000020899388,0.7547278,0.22115439,0.023156576],"study_design_scores_gemma":[0.002621312,0.00088641327,0.006616544,0.0017871071,0.0011434131,0.0011780156,0.0040109204,0.03650712,0.00005938248,0.077597216,0.8648871,0.0027054322],"about_ca_topic_score_codex":0.00086748064,"about_ca_topic_score_gemma":0.001126779,"teacher_disagreement_score":0.6771306,"about_ca_system_score_codex":0.000023688184,"about_ca_system_score_gemma":0.00015342071,"threshold_uncertainty_score":0.9958782},"labels":[],"label_agreement":null},{"id":"W4253722978","doi":"10.1002/0471667196.ess7190","title":"Pharmacoepidemiology, Overview","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Pharmacoepidemiology; Observational study; Confounding; Context (archaeology); Medical prescription; Medicine; Causality (physics); Randomized controlled trial; Intensive care medicine; Computer science; Pharmacology; Internal medicine; Geography","score_opus":0.4977696773901826,"score_gpt":0.5997718060092528,"score_spread":0.10200212861907026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253722978","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000001858168,0.00162433,0.10712369,0.00033129344,0.0012655534,0.00048222384,0.0013070838,0.00017018132,0.88769376],"genre_scores_gemma":[0.0000072281146,0.0070368447,0.830417,0.00023616538,0.0012640095,0.000032655582,0.0000048442284,0.00016691143,0.16083437],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9949053,0.001363762,0.0014817168,0.00080092665,0.0008348881,0.00061342085],"domain_scores_gemma":[0.9224489,0.07593344,0.00089283416,0.0003943142,0.0000468196,0.0002837171],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005221086,0.00041951108,0.0016919018,0.00019507365,0.000067583234,0.000016339176,0.00090724527,0.00044189204,0.071146496],"category_scores_gemma":[0.10786411,0.0003084665,0.00016964762,0.00040648718,0.0026335502,0.000038556736,0.0002193186,0.0004607218,0.0003091313],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055494415,0.000086182044,0.00005604804,0.00020765186,0.000033436634,0.000006077286,0.000007230626,1.7577761e-7,7.723707e-7,0.418617,0.53055114,0.050428737],"study_design_scores_gemma":[0.00020524322,0.00011311911,0.00007904543,0.00023293823,0.00013124893,0.0000021179096,0.0000069320945,0.00004024229,0.0000032029359,0.512854,0.4860838,0.00024814863],"about_ca_topic_score_codex":0.00014350105,"about_ca_topic_score_gemma":0.000045455894,"teacher_disagreement_score":0.7268594,"about_ca_system_score_codex":0.0000292836,"about_ca_system_score_gemma":0.00019254588,"threshold_uncertainty_score":0.99993676},"labels":[],"label_agreement":null},{"id":"W4254229686","doi":"10.1002/0471667196.ess0022.pub2","title":"Admissibility","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Citation; Encyclopedia; Table (database); Library science; Ballot; Computer science; Law; Political science; Database","score_opus":0.017862184233266663,"score_gpt":0.3227700523086374,"score_spread":0.30490786807537074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254229686","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027392665,0.0007541303,0.0012691533,0.000050967476,0.00035079493,0.00029830012,0.002481278,0.00023736605,0.9945306],"genre_scores_gemma":[0.00084357563,0.00049411267,0.11848255,0.00004111421,0.0007791466,0.00001944558,0.00005355814,0.00036891177,0.8789176],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968846,0.00013844472,0.00048813166,0.0007688289,0.0011860158,0.00053401524],"domain_scores_gemma":[0.9983844,0.0005072179,0.00036793048,0.00037832026,0.00003771894,0.00032436958],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00079374324,0.00032322184,0.00055554655,0.00027396446,0.00007150727,0.000027764736,0.0007757338,0.00021373953,0.12218553],"category_scores_gemma":[0.001522456,0.00024959422,0.000066575434,0.0005958117,0.0027509185,0.00007572602,0.0001264904,0.00022146455,0.0045767007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006352064,0.00013521203,0.0010789669,0.00006741222,0.000014057995,0.0000074074405,0.00003685044,0.0000015830728,0.000005908897,0.033622682,0.93760943,0.027414136],"study_design_scores_gemma":[0.00013085415,0.000117949545,0.0036758974,0.00009712429,0.00004064474,0.0000020348155,0.000025961695,0.00006239618,0.000006193815,0.0031276133,0.99238306,0.00033026718],"about_ca_topic_score_codex":0.00084647944,"about_ca_topic_score_gemma":0.00074803364,"teacher_disagreement_score":0.11760882,"about_ca_system_score_codex":0.000049661536,"about_ca_system_score_gemma":0.00047249265,"threshold_uncertainty_score":0.99999565},"labels":[],"label_agreement":null},{"id":"W4256162727","doi":"10.1002/0471667196.ess7101","title":"<scp>F</scp> isher Information: Nonstandard Situations","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fisher information; Inference; Statistical inference; Fisher kernel; Computer science; Set (abstract data type); Measure (data warehouse); Information theory; Statistics; Data mining; Mathematics; Artificial intelligence; Pattern recognition (psychology)","score_opus":0.034166685953391195,"score_gpt":0.3542777592990912,"score_spread":0.32011107334570005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256162727","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000023618559,0.000028959834,0.48097283,0.00007138697,0.00013431444,0.00025101818,0.0028451039,0.00010984244,0.5155842],"genre_scores_gemma":[0.00059207535,0.00037079633,0.63905865,0.00029552754,0.00034609533,0.00013700235,0.0009750216,0.00014249409,0.35808235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99743617,0.000055452005,0.00077320746,0.00030016544,0.0010356054,0.00039939088],"domain_scores_gemma":[0.99512786,0.003661501,0.0005019086,0.0002794147,0.00018724485,0.00024206076],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00058505643,0.00027237096,0.00042128272,0.00039149134,0.00019775974,0.00007676749,0.0004108812,0.0002347706,0.008091828],"category_scores_gemma":[0.00702919,0.00023478846,0.000070679176,0.0008805597,0.0012004018,0.00018007925,0.000072238596,0.00022048983,0.00065010565],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.1767518e-7,0.000041607076,0.000016518856,0.00004624775,0.000009313496,7.5748625e-7,0.00005336403,7.486926e-7,1.5752335e-7,0.5074056,0.48863223,0.0037930398],"study_design_scores_gemma":[0.00018235263,0.00005151271,0.00031234804,0.000094635165,0.00006383763,0.000003113303,0.0002512277,0.00029788935,0.0000038499275,0.1441075,0.8545148,0.000116937525],"about_ca_topic_score_codex":0.00005556183,"about_ca_topic_score_gemma":0.00003662076,"teacher_disagreement_score":0.36588258,"about_ca_system_score_codex":0.000050327733,"about_ca_system_score_gemma":0.00029011015,"threshold_uncertainty_score":0.9928149},"labels":[],"label_agreement":null},{"id":"W4256525284","doi":"10.1002/0471667196.ess4068","title":"Geographic Information Systems","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Raster graphics; Geographic information system; Raster data; Software; Data mining; GIS file format; Spatial analysis; Visualization; Vector map; GIS applications; AM/FM/GIS; Digital mapping; Information system; Database; Information retrieval; Geography; Cartography; Remote sensing; Computer graphics (images); Artificial intelligence; Engineering","score_opus":0.011511565283815917,"score_gpt":0.28282992253836786,"score_spread":0.27131835725455195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256525284","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012023144,0.000829731,0.004200457,0.00013445936,0.001799987,0.00068263087,0.00034514756,0.00019663513,0.99179894],"genre_scores_gemma":[0.091502845,0.039001625,0.026431171,0.00040131633,0.0033664056,0.0006563534,0.00040731198,0.00033539342,0.8378976],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99691236,0.00012353757,0.00068051467,0.00020640697,0.0015860077,0.00049117475],"domain_scores_gemma":[0.9985322,0.00027809417,0.0006947673,0.00016845847,0.00016540634,0.00016111677],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013129739,0.00022076898,0.00044286685,0.00078586774,0.0004965941,0.0001454784,0.0005434001,0.00027012406,0.0010001165],"category_scores_gemma":[0.0005792288,0.00018624845,0.00007410904,0.001015511,0.0028215004,0.00046829975,0.00007037042,0.00015184097,0.0003571903],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014127885,0.000016576661,0.0022196202,0.00021371774,0.000031579995,0.0000011077792,0.0030480088,0.000018503099,2.0788228e-8,0.85320425,0.13951181,0.001733372],"study_design_scores_gemma":[0.00013056392,0.000053505813,0.0011410584,0.00026168735,0.000024553812,8.070794e-7,0.006122907,0.0000061336577,4.700469e-8,0.0027269635,0.98929834,0.0002334419],"about_ca_topic_score_codex":0.04444254,"about_ca_topic_score_gemma":0.0023638257,"teacher_disagreement_score":0.8504773,"about_ca_system_score_codex":0.000053976644,"about_ca_system_score_gemma":0.0005166717,"threshold_uncertainty_score":0.9999131},"labels":[],"label_agreement":null},{"id":"W4298066383","doi":"10.1002/0471667196.ess5099","title":"Discrete Multivariate Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Notation; Multivariate analysis; Mathematics; Computer science; Statistics; Econometrics; Arithmetic","score_opus":0.014154329457790627,"score_gpt":0.3078528405316583,"score_spread":0.2936985110738677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298066383","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.8499344e-7,0.00019713811,0.5556971,0.00016938348,0.00035333837,0.00011660949,0.00032327988,0.000080676735,0.44306234],"genre_scores_gemma":[0.00026861904,0.00031309386,0.93569505,0.000035147463,0.0001421072,0.000014929955,0.000019582008,0.000040917486,0.06347052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99795574,0.00012215298,0.00032745957,0.0006419424,0.0005337321,0.00041897496],"domain_scores_gemma":[0.998857,0.00028550238,0.0002288917,0.00040391507,0.000029890432,0.00019478059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042031435,0.0002495858,0.00039520513,0.00015299597,0.000120800185,0.000076869495,0.0012877738,0.0001653564,0.0005978791],"category_scores_gemma":[0.00027095838,0.00018427911,0.000072230694,0.0005281006,0.000789766,0.00013833186,0.00027028617,0.00019266935,0.00006104813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.969313e-7,0.00003563377,0.000011613306,0.000028575563,0.00000998023,0.000010843373,0.00005158166,0.000001602131,0.0000040697996,0.91898984,0.05016335,0.030692333],"study_design_scores_gemma":[0.00028663594,0.00018769712,0.0006565777,0.00026782585,0.000036338624,0.0000077966915,0.0000057667685,0.0015091172,0.000027911397,0.6246168,0.3718291,0.000568433],"about_ca_topic_score_codex":0.0007082482,"about_ca_topic_score_gemma":0.000058457583,"teacher_disagreement_score":0.37999803,"about_ca_system_score_codex":0.000030380488,"about_ca_system_score_gemma":0.00035620554,"threshold_uncertainty_score":0.7514684},"labels":[],"label_agreement":null},{"id":"W4299390741","doi":"10.1002/0471667196.ess5099.pub2","title":"Discrete Multivariate Distributions","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Multivariate analysis; Notation; Mathematics; Computer science; Statistics; Econometrics; Arithmetic","score_opus":0.013644398209613516,"score_gpt":0.3113016143539072,"score_spread":0.2976572161442937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299390741","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.4708685e-7,0.00024010713,0.5309938,0.00020796561,0.00028330978,0.00009687358,0.0003112879,0.00007653297,0.46778995],"genre_scores_gemma":[0.00013130787,0.00040177515,0.8568554,0.000040900555,0.0002515384,0.000012817291,0.000016530435,0.000036727033,0.142253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997927,0.000146876,0.00034116683,0.0006324625,0.0005283219,0.0004241767],"domain_scores_gemma":[0.9987661,0.00036561713,0.00023337375,0.00041040327,0.000029358038,0.00019513798],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047108874,0.0002480073,0.00039395803,0.00015419001,0.0001160871,0.00007551987,0.0013160509,0.00016340885,0.0014923456],"category_scores_gemma":[0.00025828197,0.00018330151,0.000070913135,0.00047606527,0.0006936665,0.00015393984,0.0002770974,0.00019212217,0.000078051264],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.507982e-7,0.00003157498,0.000010965305,0.000015825583,0.00000891233,0.000005227703,0.0000409902,7.6563185e-7,0.0000033926915,0.7567505,0.1185686,0.12456264],"study_design_scores_gemma":[0.0001681069,0.00011284124,0.0006022011,0.00012148215,0.000028507868,0.000005355142,0.0000041129565,0.0044893194,0.000015214223,0.093624406,0.90037996,0.00044851663],"about_ca_topic_score_codex":0.00033338272,"about_ca_topic_score_gemma":0.00006090453,"teacher_disagreement_score":0.78181136,"about_ca_system_score_codex":0.000019694877,"about_ca_system_score_gemma":0.00019547054,"threshold_uncertainty_score":0.9994204},"labels":[],"label_agreement":null},{"id":"W4302148216","doi":"10.1002/0471667196.ess2503.pub2","title":"Spectral Decomposition","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Statistical Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; American Institute of Mathematics; National Science Foundation","keywords":"Decomposition; Mathematics; Computer science; Chemistry","score_opus":0.013682298600277426,"score_gpt":0.31928876199987805,"score_spread":0.3056064633996006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302148216","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000021869014,0.00026051485,0.4951852,0.00009211152,0.0003033381,0.000058189267,0.000019340581,0.00007024114,0.5040089],"genre_scores_gemma":[0.00015829288,0.000330756,0.8407643,0.00008497908,0.00040511022,0.000003877992,0.0000054679435,0.00003574484,0.15821151],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981778,0.0001756384,0.00027188155,0.00046704226,0.0005775416,0.00033004512],"domain_scores_gemma":[0.99910796,0.0003317965,0.00017177327,0.00025339064,0.00002301075,0.00011206729],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061100745,0.00018385235,0.00030107808,0.00022657643,0.00007788921,0.00008972501,0.0010413917,0.00010880202,0.0022951707],"category_scores_gemma":[0.00010986067,0.00014882952,0.000052675317,0.00039730774,0.0004649742,0.00016800442,0.00013045696,0.00014174404,0.00015517478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026527873,0.00008284212,0.00003952417,0.000040094084,0.00001365452,0.000039655322,0.00009761244,0.000010763327,0.0000634576,0.31906193,0.34421378,0.33633402],"study_design_scores_gemma":[0.00045964864,0.00044190776,0.0017537227,0.00022406677,0.000037178277,0.000032622356,0.00001156446,0.0048446828,0.00029090865,0.04145607,0.94972384,0.0007238017],"about_ca_topic_score_codex":0.00016577313,"about_ca_topic_score_gemma":0.000029145736,"teacher_disagreement_score":0.60551006,"about_ca_system_score_codex":0.000019030886,"about_ca_system_score_gemma":0.00014497798,"threshold_uncertainty_score":0.9986169},"labels":[],"label_agreement":null}]}