{"meta":{"query_hash":"f9666dce13ed","filters":{"venue":"Journal of the Royal Statistical Society Series D (The Statistician)"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/f9666dce13ed","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+the+Royal+Statistical+Society+Series+D+%28The+Statistician%29"},"results":[{"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,"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","keywords":"Lottery; Mathematics; Statistic; Statistics; Distribution (mathematics); Goodness of fit; Combinatorics; Mathematical analysis","score_opus":0.06733530514522568,"score_gpt":0.3193164934344317,"score_spread":0.251981188289206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540605038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42642158,0.0048686373,0.39978477,0.015070705,0.0011820532,0.00041340696,0.0055355667,0.00062057603,0.14610267],"genre_scores_gemma":[0.93238485,0.00090627355,0.03779853,0.0009226103,0.0002400208,0.0004154816,0.0010772251,0.00009275131,0.026162185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99586403,0.002254375,0.00023792083,0.00043765723,0.00092282594,0.00028328615],"domain_scores_gemma":[0.97377807,0.020412486,0.0018415275,0.0020486107,0.0011673768,0.00075192883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009714448,0.0004584809,0.00078761566,0.0008938935,0.000959692,0.002352352,0.0012166053,0.00073165086,0.020798381],"category_scores_gemma":[0.04760276,0.0002402545,0.0005698715,0.0013556419,0.003095053,0.0022727014,0.0012937117,0.0018638241,0.0015900604],"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":[0.0004712285,0.00004232299,0.008166536,0.00014300297,0.000053517804,0.00026794063,0.00029822803,0.00788092,0.0002098128,0.8989855,0.015352394,0.06812856],"study_design_scores_gemma":[0.000027984916,0.00013298957,0.01036901,0.000073574214,0.000028697505,0.0004541021,0.00020694427,0.028848276,0.0003341802,0.9429566,0.016523821,0.000043740114],"about_ca_topic_score_codex":0.0069149463,"about_ca_topic_score_gemma":0.007472916,"teacher_disagreement_score":0.020798381,"about_ca_system_score_codex":0.002252354,"about_ca_system_score_gemma":0.002521068,"threshold_uncertainty_score":0.069577515},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Simple (philosophy); Mathematics; Calculus (dental); Distribution (mathematics); Computer science; Mathematical analysis; Medicine; Philosophy; Epistemology","score_opus":0.0482750845177356,"score_gpt":0.3753213054101803,"score_spread":0.3270462208924447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970315068","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009824346,0.00078504905,0.97835964,0.0008032231,0.00034443443,0.00015735376,0.0007545763,0.00058010867,0.008391296],"genre_scores_gemma":[0.57222795,0.0023451364,0.39591253,0.0029402021,0.0023665938,0.0035415585,0.0044433596,0.0016519792,0.014570604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9859963,0.0061500557,0.0010935606,0.0018756773,0.004102677,0.0007816891],"domain_scores_gemma":[0.86054313,0.10445711,0.009841346,0.011075349,0.01241492,0.0016681529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02250084,0.0016044558,0.0017332713,0.003915752,0.0010251934,0.0037161876,0.0030953959,0.0026828963,0.015903026],"category_scores_gemma":[0.14498371,0.00051859283,0.0013494433,0.004175515,0.0040533193,0.0073930207,0.0028988477,0.006181247,0.0058138957],"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":[0.00022087636,0.00008314608,0.005050891,0.00050685205,0.00010163854,0.00094939506,0.00082767056,0.016645584,0.00293536,0.88141894,0.01576735,0.07549228],"study_design_scores_gemma":[0.000051958927,0.00021622523,0.004845759,0.00015450577,0.00003771565,0.0020389017,0.00028933884,0.080348626,0.0031342027,0.88739604,0.021369956,0.00011681497],"about_ca_topic_score_codex":0.00045709082,"about_ca_topic_score_gemma":0.00032656122,"teacher_disagreement_score":0.02250084,"about_ca_system_score_codex":0.0014061875,"about_ca_system_score_gemma":0.0014862119,"threshold_uncertainty_score":0.118997276},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.35846836881799066,"score_gpt":0.4458766577488586,"score_spread":0.08740828893086794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979334793","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007276509,0.0008105836,0.983344,0.000686281,0.00055916,0.0036910367,0.0007422524,0.0006316752,0.0022584423],"genre_scores_gemma":[0.14153044,0.00067966065,0.8317397,0.0010872667,0.00064619194,0.022239765,0.00087897055,0.0005642855,0.00063373364],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.49166128,0.37449288,0.038146224,0.024753468,0.0680653,0.0028808124],"domain_scores_gemma":[0.12625293,0.789893,0.029263508,0.038255416,0.015334003,0.0010012081],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.38531208,0.0025398557,0.00469477,0.01152085,0.0033099207,0.004863068,0.0078008166,0.0054190764,0.010007134],"category_scores_gemma":[0.80511475,0.001819368,0.008909072,0.009228381,0.008915828,0.007414894,0.007335611,0.013703521,0.0023676497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054258723,0.00072692276,0.045157705,0.018932046,0.013116632,0.0017676492,0.011418681,0.024907043,0.004010779,0.27204943,0.043698344,0.5587889],"study_design_scores_gemma":[0.0018582874,0.0030028885,0.030377325,0.0057804245,0.0047772555,0.001825762,0.0024166782,0.12507288,0.011203524,0.7719132,0.04118445,0.00058738247],"about_ca_topic_score_codex":0.0009954314,"about_ca_topic_score_gemma":0.00067850045,"teacher_disagreement_score":0.38531208,"about_ca_system_score_codex":0.002835888,"about_ca_system_score_gemma":0.004313281,"threshold_uncertainty_score":0.7580197},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.04359909306904546,"score_gpt":0.3710506556939,"score_spread":0.32745156262485453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994156022","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00879759,0.00015622207,0.9902194,0.00014031303,0.000023812358,0.000039887516,0.000025965428,0.00008225153,0.00051451474],"genre_scores_gemma":[0.20950277,0.00024462497,0.7887609,0.00018896122,0.00007162542,0.00044640296,0.00015198077,0.00011570858,0.0005171093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9790487,0.014533737,0.0008263059,0.0021087464,0.0030680676,0.00041432225],"domain_scores_gemma":[0.8828793,0.104882024,0.0031910755,0.005505655,0.0028257642,0.0007161344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03179009,0.0009487157,0.0024798007,0.002647404,0.0007558737,0.0026975048,0.0030021216,0.0022887352,0.0025407653],"category_scores_gemma":[0.20959261,0.0010121439,0.001339665,0.0014008724,0.005257547,0.005131048,0.005275653,0.0044435547,0.0005902062],"study_design_candidate":"simulation_or_modeling","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":[0.00066684705,0.00011378387,0.005039003,0.00058610615,0.00026026217,0.00039124046,0.00074874813,0.20060655,0.0042393506,0.5840404,0.0013091317,0.20199867],"study_design_scores_gemma":[0.0000812992,0.0000913966,0.0010325975,0.0001236209,0.000043670232,0.0002090966,0.00006980333,0.4231928,0.0029037888,0.570867,0.0013320175,0.000052901087],"about_ca_topic_score_codex":0.0008679405,"about_ca_topic_score_gemma":0.0009013157,"teacher_disagreement_score":0.03179009,"about_ca_system_score_codex":0.0011138752,"about_ca_system_score_gemma":0.002069747,"threshold_uncertainty_score":0.16812408},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.01086011362062433,"score_gpt":0.21037943738848766,"score_spread":0.19951932376786333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008974608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99094313,0.000468218,0.003810212,0.00029273325,0.000023949668,0.000027122152,0.0021578118,0.000023315093,0.0022534376],"genre_scores_gemma":[0.9908262,0.0002147694,0.00094467186,0.0000426036,0.000017268128,0.000065790824,0.0038402195,0.000032867676,0.0040156594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845314,0.00061712886,0.00013587599,0.0003249802,0.0002245217,0.00024438815],"domain_scores_gemma":[0.9939219,0.0034700308,0.0017930876,0.00016672016,0.0003092544,0.0003391777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030356639,0.0007038967,0.0010909624,0.0012143042,0.00047667758,0.0028560234,0.0014887417,0.0015778203,0.0047101136],"category_scores_gemma":[0.012827896,0.0007581645,0.0010121318,0.0022457307,0.00070740265,0.0016141628,0.0011169151,0.0014151745,0.0015442572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012247752,0.0012455602,0.4795709,0.00039055204,0.00085169304,0.00161073,0.0022563778,0.46090376,0.001128538,0.013835145,0.008910235,0.02807177],"study_design_scores_gemma":[0.00025407627,0.00049940654,0.31594667,0.00012330567,0.00023132273,0.00029553607,0.0026592829,0.66284066,0.00048764664,0.007979939,0.008551428,0.00013064241],"about_ca_topic_score_codex":0.23736411,"about_ca_topic_score_gemma":0.15608467,"teacher_disagreement_score":0.23736411,"about_ca_system_score_codex":0.002427176,"about_ca_system_score_gemma":0.0010195193,"threshold_uncertainty_score":0.47196501},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.10933881654876998,"score_gpt":0.360022452092816,"score_spread":0.25068363554404605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053226329","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12492483,0.00061558187,0.86647904,0.00028314884,0.00013464926,0.0007590794,0.001542473,0.00082899525,0.0044323015],"genre_scores_gemma":[0.6715765,0.00031571032,0.32199106,0.00017684317,0.0001191434,0.002406236,0.002135775,0.00021296783,0.0010658541],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96877086,0.016889771,0.0016323205,0.005637817,0.006643992,0.00042537667],"domain_scores_gemma":[0.7637944,0.18876117,0.012830758,0.017279252,0.015751794,0.0015825838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027833689,0.0009900673,0.0015556071,0.002815803,0.00059746543,0.0017044886,0.0015609463,0.0013898893,0.0045434195],"category_scores_gemma":[0.22948878,0.00041745682,0.00092012726,0.0016797668,0.0024156359,0.0018604463,0.0016899776,0.0020856853,0.0015532619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023020403,0.0005401305,0.10928752,0.0013394161,0.002190183,0.0005388335,0.0020246985,0.017244644,0.017872328,0.09075337,0.012435339,0.7434715],"study_design_scores_gemma":[0.00084549474,0.00583385,0.38030455,0.00066663895,0.0009949991,0.002852307,0.0012392243,0.2522148,0.04899682,0.28554302,0.019854713,0.0006536789],"about_ca_topic_score_codex":0.00054748164,"about_ca_topic_score_gemma":0.0005510658,"teacher_disagreement_score":0.027833689,"about_ca_system_score_codex":0.0005260861,"about_ca_system_score_gemma":0.0013166687,"threshold_uncertainty_score":0.14720035},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.016982797524428387,"score_gpt":0.2316784564581534,"score_spread":0.21469565893372503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104674547","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06281476,0.00040461216,0.90304404,0.00055622373,0.0001935004,0.00017955746,0.0057067354,0.012640358,0.014460261],"genre_scores_gemma":[0.40105677,0.00066946866,0.5826408,0.00021170352,0.000060610186,0.00071625755,0.0068719257,0.00089568837,0.006876692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987716,0.00057421083,0.00018221106,0.00011354287,0.0002803473,0.000078115954],"domain_scores_gemma":[0.9868002,0.01128556,0.00041672474,0.0005561727,0.0007592959,0.00018187768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028157278,0.0006988139,0.00061548856,0.0010075005,0.00044044375,0.001437268,0.0011050387,0.0007267545,0.010136343],"category_scores_gemma":[0.011682628,0.00039805443,0.0007851016,0.0012004903,0.00030537715,0.0010263856,0.0008452462,0.00096465694,0.0017632458],"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":[0.00044590473,0.00016610045,0.004900445,0.00039914306,0.00012649641,0.00060602225,0.00038422568,0.8347407,0.0014390139,0.082569875,0.012472008,0.061749972],"study_design_scores_gemma":[0.00004927919,0.000038466576,0.00024731175,0.00003052304,0.000015405314,0.00008170469,0.000028599623,0.96852475,0.0021039005,0.023392646,0.005470424,0.0000168897],"about_ca_topic_score_codex":0.002349622,"about_ca_topic_score_gemma":0.0014827492,"teacher_disagreement_score":0.010136343,"about_ca_system_score_codex":0.00046768322,"about_ca_system_score_gemma":0.0008404808,"threshold_uncertainty_score":0.03390944},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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)","score_opus":0.03038242803137944,"score_gpt":0.23268356150703995,"score_spread":0.2023011334756605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111979541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9154496,0.000532446,0.06703045,0.000903271,0.00014496874,0.00010203902,0.0003502,0.0002192408,0.015267819],"genre_scores_gemma":[0.9964593,0.00006818916,0.0024621133,0.00010235176,0.000027316079,0.000024318002,0.00017821598,0.00002351122,0.0006547399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9899144,0.006553969,0.0004081543,0.00093007804,0.0015114233,0.0006819161],"domain_scores_gemma":[0.8931373,0.08579562,0.008706797,0.007926518,0.0023721952,0.002061579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02207447,0.000468617,0.0009512319,0.0013195882,0.0007110765,0.0025311655,0.0017006302,0.001244039,0.0077165468],"category_scores_gemma":[0.0799388,0.00023897721,0.0007922431,0.0011354332,0.0020226575,0.0026925155,0.0015597006,0.0012379522,0.00052261376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0081001995,0.0007790841,0.09335848,0.00046244552,0.0014371837,0.0004399794,0.00075305736,0.500317,0.0026836586,0.28676495,0.013413765,0.09149018],"study_design_scores_gemma":[0.0006425142,0.0023672963,0.052539364,0.00009914236,0.0002575275,0.00053798204,0.0007806871,0.7311235,0.0016179854,0.20635326,0.0035238955,0.0001567149],"about_ca_topic_score_codex":0.0011676936,"about_ca_topic_score_gemma":0.0014098515,"teacher_disagreement_score":0.02207447,"about_ca_system_score_codex":0.0013591754,"about_ca_system_score_gemma":0.00059461617,"threshold_uncertainty_score":0.11674237},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.20950103259085956,"score_gpt":0.3675185352347408,"score_spread":0.15801750264388126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138454932","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019998021,0.0017871492,0.9665893,0.00055338594,0.00027809278,0.00025079065,0.00054506894,0.0011892113,0.008809014],"genre_scores_gemma":[0.49820665,0.00062301004,0.49668556,0.0004965213,0.00036091995,0.0011936211,0.00087393,0.00033418275,0.00122572],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.92696965,0.047153465,0.0034083012,0.0058092196,0.015603658,0.0010557645],"domain_scores_gemma":[0.6136707,0.3111087,0.013986479,0.02887172,0.030542709,0.0018197073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05655868,0.0007967751,0.0022473768,0.007093227,0.0011640099,0.0026219247,0.0034493052,0.0028165248,0.0060360646],"category_scores_gemma":[0.41308802,0.0006145223,0.0016567869,0.003805595,0.0030318361,0.003826568,0.0038943659,0.0032115239,0.001722131],"study_design_candidate":"simulation_or_modeling","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":[0.0022344864,0.00023832667,0.027955452,0.0022590174,0.0011560721,0.0009603993,0.0029554323,0.065708846,0.0034869132,0.24529804,0.022920888,0.62482613],"study_design_scores_gemma":[0.0005688314,0.0013694809,0.03579877,0.0020902173,0.0005718397,0.003933115,0.001252411,0.48393068,0.009620993,0.41547698,0.044835463,0.0005512761],"about_ca_topic_score_codex":0.0014628022,"about_ca_topic_score_gemma":0.00078414235,"teacher_disagreement_score":0.05655868,"about_ca_system_score_codex":0.0012140162,"about_ca_system_score_gemma":0.0012721017,"threshold_uncertainty_score":0.29911447},"labels":[],"label_agreement":null}]}