{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":9,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":9,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"f9666dce13ed","filters":{"venue":"Journal of the Royal Statistical Society Series D (The Statistician)"}},"results":[{"id":"W2008974608","doi":"10.1111/1467-9884.00244","title":"Balance in Competition in Dutch Soccer","year":2000,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":186,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Universität Mannheim; Queen's University; Concordia University","keywords":"Balance (ability); Competition (biology); Probit model; Quality (philosophy); Ordered probit; Probit; Economics; Econometrics; Psychology","authors":[{"name":"Ruud H. Koning","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01086011362062433,"gpt":0.2103794373884877,"spread":0.1995193237678633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003035664,0.0007038967,0.001090962,0.001214304,0.0004766776,0.002856023,0.001488742,0.00157782,0.004710114],"category_scores_gemma":[0.0128279,0.0007581645,0.001012132,0.002245731,0.0007074027,0.001614163,0.001116915,0.001415174,0.001544257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002427176,"about_ca_system_score_gemma":0.001019519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2373641,"about_ca_topic_score_gemma":0.1560847,"domain_scores_codex":[0.9984531,0.0006171289,0.000135876,0.0003249802,0.0002245217,0.0002443882],"domain_scores_gemma":[0.9939219,0.003470031,0.001793088,0.0001667202,0.0003092544,0.0003391777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001224775,0.00124556,0.4795709,0.000390552,0.000851693,0.00161073,0.002256378,0.4609038,0.001128538,0.01383515,0.008910235,0.02807177],"study_design_scores_gemma":[0.0002540763,0.0004994065,0.3159467,0.0001233057,0.0002313227,0.0002955361,0.002659283,0.6628407,0.0004876466,0.007979939,0.008551428,0.0001306424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909431,0.000468218,0.003810212,0.0002927333,0.00002394967,0.00002712215,0.002157812,0.00002331509,0.002253438],"genre_scores_gemma":[0.9908262,0.0002147694,0.0009446719,0.0000426036,0.00001726813,0.00006579082,0.003840219,0.00003286768,0.004015659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2373641,"threshold_uncertainty_score":0.471965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053226329","doi":"10.1111/1467-9884.00324","title":"Testing the equality of dependent intraclass correlation coefficients","year":2002,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":103,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intraclass correlation; Correlation ratio; Statistics; Mathematics; Transformation (genetics); Fisher transformation; Variance (accounting); Correlation; Correlation coefficient; Maximum likelihood; Power (physics); Psychometrics; Chemistry; Thermodynamics; Physics","authors":[{"name":"Allan Donner","is_ca":true},{"name":"Guangyong Zou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.10933881654877,"gpt":0.360022452092816,"spread":0.250683635544046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02783369,0.0009900673,0.001555607,0.002815803,0.0005974654,0.001704489,0.001560946,0.001389889,0.004543419],"category_scores_gemma":[0.2294888,0.0004174568,0.0009201273,0.001679767,0.002415636,0.001860446,0.001689978,0.002085685,0.001553262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005260861,"about_ca_system_score_gemma":0.001316669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005474816,"about_ca_topic_score_gemma":0.0005510658,"domain_scores_codex":[0.9687709,0.01688977,0.00163232,0.005637817,0.006643992,0.0004253767],"domain_scores_gemma":[0.7637944,0.1887612,0.01283076,0.01727925,0.01575179,0.001582584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00230204,0.0005401305,0.1092875,0.001339416,0.002190183,0.0005388335,0.002024699,0.01724464,0.01787233,0.09075337,0.01243534,0.7434715],"study_design_scores_gemma":[0.0008454947,0.00583385,0.3803045,0.000666639,0.0009949991,0.002852307,0.001239224,0.2522148,0.04899682,0.285543,0.01985471,0.0006536789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1249248,0.0006155819,0.866479,0.0002831488,0.0001346493,0.0007590794,0.001542473,0.0008289953,0.004432302],"genre_scores_gemma":[0.6715765,0.0003157103,0.3219911,0.0001768432,0.0001191434,0.002406236,0.002135775,0.0002129678,0.001065854],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02783369,"threshold_uncertainty_score":0.1472003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111979541","doi":"10.1111/1467-9884.00309","title":"On the comparison between standard and random knockout tournaments","year":2002,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tournament; Outlier; Set (abstract data type); Tournament selection; Econometrics; Statistics; Mathematics; Mathematical economics; Computer science; Artificial intelligence; Combinatorics; Selection (genetic algorithm)","authors":[{"name":"Éric Marchand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03038242803137944,"gpt":0.2326835615070399,"spread":0.2023011334756605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02207447,0.000468617,0.0009512319,0.001319588,0.0007110765,0.002531165,0.00170063,0.001244039,0.007716547],"category_scores_gemma":[0.0799388,0.0002389772,0.0007922431,0.001135433,0.002022658,0.002692515,0.001559701,0.001237952,0.0005226138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359175,"about_ca_system_score_gemma":0.0005946162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167694,"about_ca_topic_score_gemma":0.001409851,"domain_scores_codex":[0.9899144,0.006553969,0.0004081543,0.000930078,0.001511423,0.0006819161],"domain_scores_gemma":[0.8931373,0.08579562,0.008706797,0.007926518,0.002372195,0.002061579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0081002,0.0007790841,0.09335848,0.0004624455,0.001437184,0.0004399794,0.0007530574,0.500317,0.002683659,0.2867649,0.01341376,0.09149018],"study_design_scores_gemma":[0.0006425142,0.002367296,0.05253936,0.00009914236,0.0002575275,0.000537982,0.0007806871,0.7311235,0.001617985,0.2063533,0.003523896,0.0001567149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9154496,0.000532446,0.06703045,0.000903271,0.0001449687,0.000102039,0.0003502,0.0002192408,0.01526782],"genre_scores_gemma":[0.9964593,0.00006818916,0.002462113,0.0001023518,0.00002731608,0.000024318,0.000178216,0.00002351122,0.0006547399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02207447,"threshold_uncertainty_score":0.1167424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994156022","doi":"10.1111/1467-9884.00347","title":"Determination of exact sample sizes in the Bayesian estimation of the difference of two proportions","year":2003,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"European Regional Development Fund; Indiana University Bloomington; Université de Moncton","keywords":"Statistics; Mathematics; Context (archaeology); Sample size determination; Bayesian probability; Bayes' theorem; Sample (material); Bayes estimator; Hypergeometric distribution; Credible interval","authors":[{"name":"T. Pham‐Gia","is_ca":true},{"name":"N. Turkkan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04359909306904546,"gpt":0.3710506556939,"spread":0.3274515626248545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03179009,0.0009487157,0.002479801,0.002647404,0.0007558737,0.002697505,0.003002122,0.002288735,0.002540765],"category_scores_gemma":[0.2095926,0.001012144,0.001339665,0.001400872,0.005257547,0.005131048,0.005275653,0.004443555,0.0005902062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113875,"about_ca_system_score_gemma":0.002069747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008679405,"about_ca_topic_score_gemma":0.0009013157,"domain_scores_codex":[0.9790487,0.01453374,0.0008263059,0.002108746,0.003068068,0.0004143222],"domain_scores_gemma":[0.8828793,0.104882,0.003191076,0.005505655,0.002825764,0.0007161344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000666847,0.0001137839,0.005039003,0.0005861062,0.0002602622,0.0003912405,0.0007487481,0.2006066,0.004239351,0.5840404,0.001309132,0.2019987],"study_design_scores_gemma":[0.0000812992,0.0000913966,0.001032598,0.0001236209,0.00004367023,0.0002090966,0.00006980333,0.4231928,0.002903789,0.570867,0.001332017,0.00005290109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00879759,0.0001562221,0.9902194,0.000140313,0.00002381236,0.00003988752,0.00002596543,0.00008225153,0.0005145147],"genre_scores_gemma":[0.2095028,0.000244625,0.7887609,0.0001889612,0.00007162542,0.000446403,0.0001519808,0.0001157086,0.0005171093],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03179009,"threshold_uncertainty_score":0.1681241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138454932","doi":"10.1111/1467-9884.00331","title":"An exact bootstrap confidence interval for kappa in small samples","year":2002,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Confidence interval; Statistics; Mathematics; Sample size determination; Coverage probability; CDF-based nonparametric confidence interval; Robust confidence intervals; Monte Carlo method; Exact statistics; Binary number; Sample (material); Distribution (mathematics); Mathematical analysis; Arithmetic; Physics","authors":[{"name":"Neil Klar","is_ca":true},{"name":"Stuart R. Lipsitz","is_ca":false},{"name":"Michael Parzen","is_ca":false},{"name":"Traci Leong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2095010325908596,"gpt":0.3675185352347408,"spread":0.1580175026438813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05655868,0.0007967751,0.002247377,0.007093227,0.00116401,0.002621925,0.003449305,0.002816525,0.006036065],"category_scores_gemma":[0.413088,0.0006145223,0.001656787,0.003805595,0.003031836,0.003826568,0.003894366,0.003211524,0.001722131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214016,"about_ca_system_score_gemma":0.001272102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462802,"about_ca_topic_score_gemma":0.0007841424,"domain_scores_codex":[0.9269696,0.04715347,0.003408301,0.00580922,0.01560366,0.001055765],"domain_scores_gemma":[0.6136707,0.3111087,0.01398648,0.02887172,0.03054271,0.001819707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002234486,0.0002383267,0.02795545,0.002259017,0.001156072,0.0009603993,0.002955432,0.06570885,0.003486913,0.245298,0.02292089,0.6248261],"study_design_scores_gemma":[0.0005688314,0.001369481,0.03579877,0.002090217,0.0005718397,0.003933115,0.001252411,0.4839307,0.009620993,0.415477,0.04483546,0.0005512761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01999802,0.001787149,0.9665893,0.0005533859,0.0002780928,0.0002507906,0.0005450689,0.001189211,0.008809014],"genre_scores_gemma":[0.4982066,0.00062301,0.4966856,0.0004965213,0.0003609199,0.001193621,0.00087393,0.0003341828,0.00122572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05655868,"threshold_uncertainty_score":0.2991145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1970315068","doi":"10.1111/1467-9884.00367","title":"Simple characterizations of Student's t2-distribution","year":2003,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Simple (philosophy); Mathematics; Calculus (dental); Distribution (mathematics); Computer science; Mathematical analysis; Medicine; Philosophy; Epistemology","authors":[{"name":"V. B. Nevzorov","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Mohammad Ahsanullah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0482750845177356,"gpt":0.3753213054101803,"spread":0.3270462208924447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02250084,0.001604456,0.001733271,0.003915752,0.001025193,0.003716188,0.003095396,0.002682896,0.01590303],"category_scores_gemma":[0.1449837,0.0005185928,0.001349443,0.004175515,0.004053319,0.007393021,0.002898848,0.006181247,0.005813896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406188,"about_ca_system_score_gemma":0.001486212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004570908,"about_ca_topic_score_gemma":0.0003265612,"domain_scores_codex":[0.9859963,0.006150056,0.001093561,0.001875677,0.004102677,0.0007816891],"domain_scores_gemma":[0.8605431,0.1044571,0.009841346,0.01107535,0.01241492,0.001668153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002208764,0.00008314608,0.005050891,0.0005068521,0.0001016385,0.0009493951,0.0008276706,0.01664558,0.00293536,0.8814189,0.01576735,0.07549228],"study_design_scores_gemma":[0.00005195893,0.0002162252,0.004845759,0.0001545058,0.00003771565,0.002038902,0.0002893388,0.08034863,0.003134203,0.887396,0.02136996,0.000116815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009824346,0.0007850491,0.9783596,0.0008032231,0.0003444344,0.0001573538,0.0007545763,0.0005801087,0.008391296],"genre_scores_gemma":[0.572228,0.002345136,0.3959125,0.002940202,0.002366594,0.003541559,0.00444336,0.001651979,0.0145706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02250084,"threshold_uncertainty_score":0.1189973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104674547","doi":"10.1111/1467-9884.00296","title":"Simulation of hidden Markov models with EXCEL","year":2002,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hidden Markov model; Computer science; Markov model; Markov chain; Maximum-entropy Markov model; Variable-order Markov model; Machine learning; Markov process; Artificial intelligence; Data mining; Statistics; Mathematics","authors":[{"name":"W. H. Laverty","is_ca":true},{"name":"M. J. Miket","is_ca":true},{"name":"I. W. Kelly","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01698279752442839,"gpt":0.2316784564581534,"spread":0.214695658933725,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002815728,0.0006988139,0.0006154886,0.0010075,0.0004404437,0.001437268,0.001105039,0.0007267545,0.01013634],"category_scores_gemma":[0.01168263,0.0003980544,0.0007851016,0.00120049,0.0003053772,0.001026386,0.0008452462,0.0009646569,0.001763246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676832,"about_ca_system_score_gemma":0.0008404808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349622,"about_ca_topic_score_gemma":0.001482749,"domain_scores_codex":[0.9987716,0.0005742108,0.0001822111,0.0001135429,0.0002803473,0.00007811595],"domain_scores_gemma":[0.9868002,0.01128556,0.0004167247,0.0005561727,0.0007592959,0.0001818777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004459047,0.0001661004,0.004900445,0.0003991431,0.0001264964,0.0006060223,0.0003842257,0.8347407,0.001439014,0.08256987,0.01247201,0.06174997],"study_design_scores_gemma":[0.00004927919,0.00003846658,0.0002473117,0.00003052304,0.00001540531,0.00008170469,0.00002859962,0.9685248,0.002103901,0.02339265,0.005470424,0.0000168897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06281476,0.0004046122,0.903044,0.0005562237,0.0001935004,0.0001795575,0.005706735,0.01264036,0.01446026],"genre_scores_gemma":[0.4010568,0.0006694687,0.5826408,0.0002117035,0.00006061019,0.0007162575,0.006871926,0.0008956884,0.006876692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01013634,"threshold_uncertainty_score":0.03390944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979334793","doi":"10.1111/1467-9884.00266","title":"Statistical Inferences For Interobserver Agreement Studies With Nominal Outcome Data","year":2001,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorical variable; Outcome (game theory); Statistical inference; Statistics; Econometrics; Statistical hypothesis testing; Nominal level; Inference; Multiple comparisons problem; Focus (optics); Computer science; Mathematics; Artificial intelligence; Confidence interval","authors":[{"name":"Emma Bartfay","is_ca":true},{"name":"Allan Donner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3584683688179907,"gpt":0.4458766577488586,"spread":0.08740828893086794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3853121,0.002539856,0.00469477,0.01152085,0.003309921,0.004863068,0.007800817,0.005419076,0.01000713],"category_scores_gemma":[0.8051147,0.001819368,0.008909072,0.009228381,0.008915828,0.007414894,0.007335611,0.01370352,0.00236765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835888,"about_ca_system_score_gemma":0.004313281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009954314,"about_ca_topic_score_gemma":0.0006785005,"domain_scores_codex":[0.4916613,0.3744929,0.03814622,0.02475347,0.0680653,0.002880812],"domain_scores_gemma":[0.1262529,0.789893,0.02926351,0.03825542,0.015334,0.001001208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005425872,0.0007269228,0.0451577,0.01893205,0.01311663,0.001767649,0.01141868,0.02490704,0.004010779,0.2720494,0.04369834,0.5587889],"study_design_scores_gemma":[0.001858287,0.003002889,0.03037732,0.005780424,0.004777255,0.001825762,0.002416678,0.1250729,0.01120352,0.7719132,0.04118445,0.0005873825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007276509,0.0008105836,0.983344,0.000686281,0.00055916,0.003691037,0.0007422524,0.0006316752,0.002258442],"genre_scores_gemma":[0.1415304,0.0006796606,0.8317397,0.001087267,0.0006461919,0.02223977,0.0008789705,0.0005642855,0.0006337336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3853121,"threshold_uncertainty_score":0.7580197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1540605038","doi":"10.1111/1467-9884.00315","title":"χ<sup>2</sup>and the lottery","year":2002,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series D (The Statistician)","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lottery; Mathematics; Statistic; Statistics; Distribution (mathematics); Goodness of fit; Combinatorics; Mathematical analysis","authors":[{"name":"Christian Genest","is_ca":false},{"name":"Richard Lockhart","is_ca":false},{"name":"Michael A. Stephens","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06733530514522568,"gpt":0.3193164934344317,"spread":0.251981188289206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009714448,0.0004584809,0.0007876157,0.0008938935,0.000959692,0.002352352,0.001216605,0.0007316509,0.02079838],"category_scores_gemma":[0.04760276,0.0002402545,0.0005698715,0.001355642,0.003095053,0.002272701,0.001293712,0.001863824,0.00159006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252354,"about_ca_system_score_gemma":0.002521068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006914946,"about_ca_topic_score_gemma":0.007472916,"domain_scores_codex":[0.995864,0.002254375,0.0002379208,0.0004376572,0.0009228259,0.0002832862],"domain_scores_gemma":[0.9737781,0.02041249,0.001841528,0.002048611,0.001167377,0.0007519288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004712285,0.00004232299,0.008166536,0.000143003,0.0000535178,0.0002679406,0.000298228,0.00788092,0.0002098128,0.8989855,0.01535239,0.06812856],"study_design_scores_gemma":[0.00002798492,0.0001329896,0.01036901,0.00007357421,0.0000286975,0.0004541021,0.0002069443,0.02884828,0.0003341802,0.9429566,0.01652382,0.00004374011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4264216,0.004868637,0.3997848,0.0150707,0.001182053,0.000413407,0.005535567,0.000620576,0.1461027],"genre_scores_gemma":[0.9323848,0.0009062735,0.03779853,0.0009226103,0.0002400208,0.0004154816,0.001077225,0.00009275131,0.02616218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02079838,"threshold_uncertainty_score":0.06957752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}