{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1266,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":1266,"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":"5bacba07e84b","filters":{"topic":"Statistical Distribution Estimation and Applications"}},"results":[{"id":"W2153086947","doi":"10.1002/9781118445112.stat01249","title":"Continuous Multivariate Distributions","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":838,"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":"Multivariate statistics; Notation; Multivariate analysis; Computer science; Statistics; Mathematics; Arithmetic","authors":[{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0814449522131715,"gpt":0.3887789923085401,"spread":0.3073340400953686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00260109,0.0008358223,0.0006985096,0.003536069,0.0005667993,0.003008035,0.001115208,0.0009530726,0.007288174],"category_scores_gemma":[0.009977351,0.0002756137,0.0007156572,0.004333705,0.002880395,0.003970135,0.001455765,0.002775498,0.002023137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281416,"about_ca_system_score_gemma":0.0007456079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009651273,"about_ca_topic_score_gemma":0.0005197305,"domain_scores_codex":[0.9978119,0.0008635601,0.0001262972,0.0004924529,0.0005877746,0.0001179806],"domain_scores_gemma":[0.9949105,0.002879514,0.0005476298,0.0004589807,0.001017803,0.0001855597],"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":[0.00002445514,0.00001861393,0.000767441,0.0003054065,0.00003297845,0.0001620002,0.0001200316,0.004099273,0.0007125633,0.9276112,0.007188595,0.0589575],"study_design_scores_gemma":[0.00001147871,0.00003600172,0.001680981,0.0003245922,0.00002730612,0.0006415886,0.0001040833,0.03391405,0.0008293638,0.8705688,0.09182071,0.00004111044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01191409,0.04129688,0.8914218,0.004541057,0.001009381,0.00007290392,0.001101682,0.0004509346,0.04819134],"genre_scores_gemma":[0.5362688,0.08557589,0.3288946,0.003689936,0.009186204,0.0004334947,0.002212254,0.0005448427,0.03319395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007288174,"threshold_uncertainty_score":0.0243814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077321682","doi":"10.2307/3316064","title":"A new class of multivariate skew distributions with applications to bayesian regression models","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":624,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Skewness; Bayesian linear regression; Bayesian multivariate linear regression; Prior probability; Mathematics; Skew; Bayesian probability; Skew normal distribution; Class (philosophy); Statistics; Transformation (genetics); Regression analysis; Applied mathematics; Econometrics; Bayesian inference; Computer science; Artificial intelligence","authors":[{"name":"Sujit K. Sahu","is_ca":false},{"name":"Dipak K. Dey","is_ca":false},{"name":"Márcia D. Branco","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05106965600890957,"gpt":0.3258112086798858,"spread":0.2747415526709763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007553133,0.0009333618,0.001213992,0.002536274,0.001002039,0.002501572,0.001461209,0.001580532,0.005212999],"category_scores_gemma":[0.02581801,0.00065097,0.001489782,0.00221116,0.002372146,0.004347269,0.003139911,0.003482192,0.0008826383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326644,"about_ca_system_score_gemma":0.001503312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001374363,"about_ca_topic_score_gemma":0.001082965,"domain_scores_codex":[0.997561,0.00116032,0.0001354114,0.0002989466,0.0006570538,0.0001873286],"domain_scores_gemma":[0.984591,0.009418366,0.001789441,0.001166726,0.002301149,0.0007332857],"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":[0.00006025296,0.00007746955,0.003003212,0.00008237205,0.00004811111,0.0003408943,0.0002288041,0.05530383,0.001325052,0.8865985,0.004071658,0.04885975],"study_design_scores_gemma":[0.00003350979,0.00003524021,0.0007817533,0.00006028248,0.00001525754,0.0004191235,0.00006331845,0.4383828,0.0005120701,0.5538695,0.005787025,0.00003998025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01342356,0.0005025427,0.9821232,0.0006191459,0.00007968689,0.00004690469,0.0001412834,0.0001801441,0.002883437],"genre_scores_gemma":[0.5144711,0.003449044,0.4694623,0.001025963,0.0009848712,0.0005163755,0.000692957,0.0004553433,0.008941918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007553133,"threshold_uncertainty_score":0.03994524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983211478","doi":"10.1016/j.csda.2013.02.026","title":"Power Lindley distribution and associated inference","year":2013,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":391,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Kurtosis; Mathematics; Statistics; Estimator; Quantile; Skewness; Likelihood function; Applied mathematics; Order statistic; Shape parameter; Estimation theory; Confidence interval; M-estimator","authors":[{"name":"M. E. Ghitany","is_ca":false},{"name":"D. K. Al-Mutairi","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Latifa Alenezi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0739339679624813,"gpt":0.3846860793079317,"spread":0.3107521113454504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01688834,0.001302593,0.002456344,0.005128339,0.00167508,0.00464243,0.004249063,0.002782982,0.01236023],"category_scores_gemma":[0.1045936,0.00124275,0.002305723,0.004482667,0.004896836,0.009481628,0.003456456,0.006020892,0.002468554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002267562,"about_ca_system_score_gemma":0.003007011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003794192,"about_ca_topic_score_gemma":0.002843294,"domain_scores_codex":[0.9927109,0.004009055,0.0003787063,0.001326875,0.001277482,0.0002969164],"domain_scores_gemma":[0.9079786,0.07723072,0.003233997,0.0060232,0.004841937,0.0006915679],"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":[0.00003446181,0.00004691058,0.001174321,0.00009750829,0.00007038366,0.0001151463,0.0001701514,0.01583146,0.0001102291,0.9468033,0.003606842,0.03193925],"study_design_scores_gemma":[0.0000124094,0.00001044796,0.0001729895,0.00003902769,0.000022202,0.00008002869,0.00002845399,0.1033867,0.000133412,0.8939562,0.002143474,0.00001456617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003081341,0.000659068,0.992453,0.0006750475,0.0001109893,0.00003913802,0.0001760167,0.0001466126,0.002658728],"genre_scores_gemma":[0.3002399,0.006599762,0.6520765,0.002129928,0.002183249,0.001140553,0.00191555,0.0006329307,0.03308162],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01688834,"threshold_uncertainty_score":0.08931512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2112345887","doi":"10.1080/00949650108812098","title":"Generalized exponential distribution: different method of estimations","year":2001,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":388,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mathematics; Generalized beta distribution; Natural exponential family; Gamma distribution; Weibull distribution; Generalized integer gamma distribution; Exponential distribution; Exponential family; Applied mathematics; Laplace distribution; Exponential function; Generalized gamma distribution; Exponentially modified Gaussian distribution; Distribution (mathematics); Maximum likelihood; Distribution fitting; Statistics; Mathematical analysis","authors":[{"name":"Rameshwar D. Gupta","is_ca":true},{"name":"Debasis Kundu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08437865635402142,"gpt":0.4323766724707966,"spread":0.3479980161167752,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008104203,0.001438066,0.001336456,0.003120102,0.00046354,0.002371302,0.002248276,0.00229895,0.003800154],"category_scores_gemma":[0.03162795,0.0005432263,0.001562155,0.003721825,0.001431913,0.004311989,0.001886169,0.002926209,0.00164481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008426071,"about_ca_system_score_gemma":0.001142407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826506,"about_ca_topic_score_gemma":0.001022167,"domain_scores_codex":[0.9939263,0.003438181,0.0002808275,0.0009061697,0.001244018,0.0002045384],"domain_scores_gemma":[0.9883486,0.007692136,0.0005050655,0.001367541,0.001947806,0.0001387334],"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":[0.0002377404,0.00008552688,0.002996547,0.0007498561,0.0003624091,0.0002638293,0.0004956636,0.07196683,0.003927742,0.3814026,0.00891864,0.5285925],"study_design_scores_gemma":[0.0001262327,0.0001670259,0.003022463,0.0004227853,0.0002655113,0.001965455,0.0002512268,0.5343603,0.01027868,0.3617082,0.08703642,0.0003957325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001542216,0.002231564,0.9942119,0.000269148,0.0001695537,0.00003211131,0.00005078314,0.000197687,0.001295013],"genre_scores_gemma":[0.1056994,0.01049642,0.8727741,0.0005551404,0.0008610086,0.0003470968,0.0004182082,0.0005499948,0.008298503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008104203,"threshold_uncertainty_score":0.04285967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094923943","doi":"10.1080/00949655.2011.574633","title":"The gamma-exponentiated exponential distribution","year":2011,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":362,"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":"Mathematics; Gamma distribution; Generalized gamma distribution; Generalized integer gamma distribution; Exponential distribution; Applied mathematics; Natural exponential family; Exponential family; Distribution (mathematics); Exponential function; Random variable; Statistics; Sequence (biology); Heavy-tailed distribution; Mathematical analysis","authors":[{"name":"Miroslav M. Ristić","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1022274957505543,"gpt":0.3717194147325873,"spread":0.269491918982033,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002985939,0.0006723233,0.0006598447,0.001515294,0.0004559433,0.002055074,0.001488042,0.001100538,0.004058104],"category_scores_gemma":[0.01888941,0.0003405366,0.0006550439,0.001714056,0.001959777,0.003282085,0.001217107,0.001509004,0.001362059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135292,"about_ca_system_score_gemma":0.0007911398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144102,"about_ca_topic_score_gemma":0.0007352494,"domain_scores_codex":[0.9983962,0.0004653055,0.00008925715,0.0004744828,0.0004006493,0.0001740943],"domain_scores_gemma":[0.9936413,0.003414168,0.0007205983,0.0009399969,0.001110597,0.0001733784],"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":[0.0001449834,0.00003712249,0.008536535,0.0001713183,0.00007153759,0.001182588,0.0004311003,0.05911369,0.004148807,0.8568775,0.006171994,0.06311289],"study_design_scores_gemma":[0.00006079176,0.0001024649,0.004377389,0.0001233321,0.00005710095,0.003104996,0.0002004242,0.2969204,0.003006743,0.6585318,0.03340441,0.0001100545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03144866,0.0008407541,0.9594918,0.0005165632,0.0001736378,0.00009106447,0.0003701767,0.0003339422,0.006733411],"genre_scores_gemma":[0.763385,0.003580217,0.2144735,0.0009072429,0.0006422049,0.0004540294,0.001298344,0.000303764,0.01495563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004058104,"threshold_uncertainty_score":0.01579136,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033612661","doi":"10.1111/1467-9469.00191","title":"Multivariate Dispersion Models Generated From Gaussian Copula","year":2000,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":362,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Multivariate statistics; Mathematics; Copula (linguistics); Multivariate normal distribution; Multivariate analysis; Statistics; Multivariate t-distribution; Multivariate stable distribution; Gaussian; Econometrics; Applied mathematics; Normal-Wishart distribution; Physics","authors":[{"name":"Peter X.‐K. Song","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06533008099576013,"gpt":0.3407003464419671,"spread":0.275370265446207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003229785,0.0009662124,0.00142348,0.00223469,0.0007615707,0.001998027,0.001779763,0.001385916,0.003884812],"category_scores_gemma":[0.01469879,0.0005833733,0.001503175,0.002300379,0.001599936,0.003578707,0.001835092,0.002357432,0.0008101375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556936,"about_ca_system_score_gemma":0.001066268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007294572,"about_ca_topic_score_gemma":0.003841483,"domain_scores_codex":[0.9981997,0.000603281,0.00006622395,0.0003562173,0.0005545336,0.0002200226],"domain_scores_gemma":[0.9948813,0.002590618,0.0009797881,0.0005626862,0.000787099,0.0001984911],"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":[0.00006760215,0.00004727562,0.003078441,0.00007565149,0.00009480411,0.0002177044,0.0004121303,0.3095258,0.0009719973,0.6564173,0.003159911,0.02593146],"study_design_scores_gemma":[0.00001419777,0.00002174807,0.001017088,0.00002722302,0.00002047245,0.0001066421,0.00005399424,0.7518196,0.0002366464,0.2436266,0.003017968,0.00003775752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04797908,0.0006084842,0.9451143,0.0004421656,0.0000609029,0.00005105641,0.0003553106,0.0003148104,0.005073742],"genre_scores_gemma":[0.8901989,0.001710967,0.09355041,0.000259397,0.0002211819,0.0003182356,0.001127903,0.0003359668,0.01227701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007294572,"threshold_uncertainty_score":0.0170809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003114898","doi":"10.1007/bf02530502","title":"Exact likelihood inference based on Type-I and Type-II hybrid censored samples from the exponential distribution","year":2003,"lang":"en","type":"article","venue":"Annals of the Institute of Statistical Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":349,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Bhattacharyya distance; Censoring (clinical trials); Exponential distribution; Statistics; Upper and lower bounds; Estimator; Applied mathematics; Sample size determination; Coverage probability; Order statistic; Confidence interval; Mathematical analysis; Computer science","authors":[{"name":"Aaron Childs","is_ca":true},{"name":"B. Chandrasekar","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Debasis Kundu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1070624961929821,"gpt":0.368312949380911,"spread":0.2612504531879289,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02424304,0.001001922,0.003112886,0.001946199,0.0008050124,0.003573506,0.004541887,0.002842935,0.005222759],"category_scores_gemma":[0.124543,0.001773468,0.002145441,0.002250616,0.004169385,0.005969229,0.003324663,0.004070057,0.0007037434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599489,"about_ca_system_score_gemma":0.001851055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048023,"about_ca_topic_score_gemma":0.002055994,"domain_scores_codex":[0.9876454,0.007981399,0.0005295291,0.001630222,0.001642207,0.0005711216],"domain_scores_gemma":[0.8488082,0.1310653,0.005163088,0.01057714,0.003437937,0.0009483558],"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":[0.002660099,0.0003331927,0.01999253,0.0005141919,0.0009187079,0.0009710123,0.000799442,0.319162,0.002225903,0.5371105,0.004197799,0.1111146],"study_design_scores_gemma":[0.0001849226,0.00006662669,0.001486326,0.00005115608,0.00008749356,0.0002417236,0.00006834558,0.743152,0.000861199,0.2529667,0.0007822505,0.00005121636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02648126,0.0002795514,0.9716194,0.0002919357,0.00007393804,0.00004056879,0.0001388315,0.0001843718,0.0008900901],"genre_scores_gemma":[0.6271941,0.0006065905,0.3649129,0.0004927726,0.0004180039,0.0003008181,0.001204955,0.0002225301,0.00464728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02424304,"threshold_uncertainty_score":0.128211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041227709","doi":"10.1007/bf02595728","title":"Skewed multivariate models related to hidden truncation and/or selective reporting","year":2002,"lang":"en","type":"article","venue":"Test","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":275,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Univariate; Multivariate statistics; Skew normal distribution; Mathematics; Univariate distribution; Econometrics; Statistics; Bivariate analysis; Multivariate normal distribution; Skew; Truncation (statistics); Distribution (mathematics); Truncated normal distribution; Marginal distribution; Multivariate stable distribution; Normal distribution; Multivariate analysis; Inference; Normal-Wishart distribution; Computer science; Random variable; Mathematical analysis","authors":[{"name":"Barry C. Arnold","is_ca":false},{"name":"Robert J. Beaver","is_ca":false},{"name":"Adelchi Azzalini","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"A. Bhaumik","is_ca":false},{"name":"Dipak K. Dey","is_ca":false},{"name":"C. M. Cuadras","is_ca":false},{"name":"José Marı́a Sarabia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1686814069343392,"gpt":0.3912603568848008,"spread":0.2225789499504615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04087264,0.001062657,0.002613577,0.001945849,0.001323625,0.002906992,0.005210055,0.002875772,0.008911889],"category_scores_gemma":[0.1992463,0.0009457055,0.001486962,0.002877983,0.006252267,0.008122749,0.003399639,0.004886504,0.001145194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189256,"about_ca_system_score_gemma":0.002528897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581241,"about_ca_topic_score_gemma":0.001450653,"domain_scores_codex":[0.9806578,0.01168017,0.0009371244,0.002523232,0.002853644,0.001348109],"domain_scores_gemma":[0.7013475,0.2217464,0.03093745,0.03657221,0.00680829,0.002588101],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00063098,0.0001912162,0.02253179,0.0002718015,0.0003017425,0.001431135,0.0009423117,0.06605492,0.001505633,0.8307515,0.008206273,0.06718062],"study_design_scores_gemma":[0.00008741319,0.00008457281,0.003842432,0.00008145194,0.00009049082,0.0005923081,0.0001807771,0.3586738,0.001965239,0.6331386,0.00120283,0.00005995647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08642516,0.0004635801,0.9059712,0.002514769,0.0001339287,0.0001413944,0.0006332057,0.0005213175,0.003195571],"genre_scores_gemma":[0.9013188,0.0006829015,0.08686111,0.0009365387,0.0004568615,0.0003475127,0.0009690929,0.00020837,0.0082187],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9591274,"threshold_uncertainty_score":0.2161578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043436310","doi":"10.1080/03610920500199018","title":"A Three-Parameter Asymmetric Laplace Distribution and Its Extension","year":2005,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":262,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Laplace distribution; Extension (predicate logic); Laplace transform; Quantile; Mathematics; Distribution (mathematics); Applied mathematics; Exponential distribution; Quantile regression; Mathematical optimization; Statistics; Mathematical analysis; Computer science","authors":[{"name":"Keming Yu","is_ca":false},{"name":"Jin Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09533216409675702,"gpt":0.4581123167599544,"spread":0.3627801526631974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004151167,0.0005879875,0.0006850263,0.001542439,0.0005313053,0.001803183,0.001323464,0.001223247,0.005530817],"category_scores_gemma":[0.01393174,0.000334306,0.0008153644,0.001331214,0.002374916,0.002785374,0.001915083,0.002087408,0.0009822657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009931073,"about_ca_system_score_gemma":0.0006855139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008222312,"about_ca_topic_score_gemma":0.0003640536,"domain_scores_codex":[0.9982505,0.0006103844,0.00007474959,0.0002866705,0.0006080076,0.0001697025],"domain_scores_gemma":[0.9922658,0.003979756,0.0009451949,0.0007878835,0.001682102,0.0003393126],"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":[0.0002024408,0.00008914793,0.00698688,0.0001308558,0.00004979482,0.001339304,0.0003918397,0.08290453,0.009108069,0.8138981,0.003336011,0.08156303],"study_design_scores_gemma":[0.00004424823,0.00008844015,0.00237516,0.00004912817,0.00001868232,0.001435322,0.0001419502,0.6086856,0.002665713,0.3769479,0.007474289,0.0000735559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0375788,0.0002880027,0.9559715,0.0005208117,0.00007916155,0.00003525244,0.00007607565,0.000220346,0.00522998],"genre_scores_gemma":[0.9192863,0.00056912,0.07269316,0.0003426474,0.0003124498,0.0001178,0.0002070618,0.000132106,0.006339391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005530817,"threshold_uncertainty_score":0.0219537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086783012","doi":"10.1007/s001840400345","title":"Estimation of P[Y &lt; X] for generalized exponential distribution","year":2005,"lang":"en","type":"article","venue":"Metrika","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":258,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mathematics; Estimator; Minimum-variance unbiased estimator; Statistics; Exponential distribution; Confidence interval; Scale parameter; Trimmed estimator; Applied mathematics; Exponential function; Asymptotic analysis; Bias of an estimator; Mathematical analysis","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"Rameshwar D. Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0747487399332935,"gpt":0.3856163838706768,"spread":0.3108676439373833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003716288,0.0006037899,0.0007994153,0.0009847527,0.0003826268,0.001223988,0.001503498,0.001347676,0.003065541],"category_scores_gemma":[0.02081525,0.0004559922,0.000718091,0.0009188964,0.00106518,0.002019605,0.00122421,0.001460336,0.0006731992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005910911,"about_ca_system_score_gemma":0.001587821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004529492,"about_ca_topic_score_gemma":0.003271782,"domain_scores_codex":[0.9988793,0.0004978227,0.0000468342,0.0003054244,0.0001573294,0.0001134496],"domain_scores_gemma":[0.9925689,0.005974928,0.0004095063,0.0005217872,0.000422361,0.0001024531],"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":[0.0006851956,0.0001811984,0.01772673,0.0004021591,0.0003202338,0.0003900269,0.0004452967,0.4844323,0.01679174,0.177663,0.003812155,0.2971501],"study_design_scores_gemma":[0.0000259457,0.00003824508,0.003423504,0.00002360633,0.00002490117,0.000183628,0.00004455778,0.961475,0.003447933,0.03029999,0.0009870232,0.00002567798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02786015,0.000199745,0.9706947,0.0002005486,0.00001772381,0.00003165553,0.0001117785,0.0002621903,0.0006214714],"genre_scores_gemma":[0.652473,0.0008265849,0.3392728,0.0001377487,0.0001017015,0.0001863335,0.001085313,0.000170971,0.005745429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004529492,"threshold_uncertainty_score":0.01965386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027737251","doi":"10.1016/j.csda.2012.03.025","title":"Hybrid censoring: Models, inferential results and applications","year":2012,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":243,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Censoring (clinical trials); Computer science; Econometrics; Mathematics","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Debasis Kundu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1773308485981085,"gpt":0.4040035739452627,"spread":0.2266727253471542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02449265,0.001665717,0.002944009,0.003462436,0.001185894,0.005254366,0.00456061,0.00273792,0.004951412],"category_scores_gemma":[0.09518831,0.001065507,0.002573468,0.00587312,0.00556043,0.00775192,0.003760742,0.004363308,0.000816814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610722,"about_ca_system_score_gemma":0.001738523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002494675,"about_ca_topic_score_gemma":0.001591109,"domain_scores_codex":[0.988454,0.007578291,0.0004974816,0.00141044,0.001715932,0.000343851],"domain_scores_gemma":[0.8615634,0.117298,0.005209409,0.0122774,0.002882836,0.0007689627],"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":[0.0002197952,0.0001438997,0.009341232,0.00051594,0.0004684337,0.000397779,0.0006464077,0.06335473,0.0004724221,0.8211964,0.003505649,0.09973726],"study_design_scores_gemma":[0.00002838713,0.00003962328,0.0009239554,0.00007235895,0.00009599955,0.0001930724,0.00007334865,0.2026832,0.0002728702,0.794032,0.001557084,0.00002807624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005461384,0.001316022,0.9916286,0.0005383642,0.0000404846,0.00002535376,0.0001467252,0.0001272966,0.0007157638],"genre_scores_gemma":[0.4775438,0.006820964,0.5033977,0.0008824483,0.001019039,0.0006757318,0.00114342,0.0003613313,0.008155466],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02449265,"threshold_uncertainty_score":0.1295311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2079558941","doi":"10.1080/03610920802474465","title":"A Generalization of Shapiro–Wilk's Test for Multivariate Normality","year":2009,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":239,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University","keywords":"Univariate; Goodness of fit; Normality test; Statistics; Normality; Multivariate statistics; Mathematics; Statistic; Test statistic; Monte Carlo method; Multivariate normal distribution; Econometrics; Statistical hypothesis testing","authors":[{"name":"José A. Villaseñor Alva","is_ca":false},{"name":"Elizabeth González‐Estrada","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1248637968134502,"gpt":0.5139808057665801,"spread":0.38911700895313,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01478904,0.001125471,0.002055839,0.003938498,0.001146426,0.00238117,0.002476639,0.001152086,0.007101174],"category_scores_gemma":[0.09318969,0.0004157478,0.00158736,0.004990506,0.002514295,0.004413504,0.00227214,0.003095088,0.002277816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007939,"about_ca_system_score_gemma":0.002989621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949822,"about_ca_topic_score_gemma":0.001282963,"domain_scores_codex":[0.9868072,0.005082434,0.0009509005,0.001936323,0.004756031,0.0004671611],"domain_scores_gemma":[0.9355924,0.04167396,0.004955056,0.00625619,0.01065003,0.0008724979],"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":[0.0004993702,0.0003452853,0.03637332,0.001193675,0.0008042017,0.0009711771,0.001080254,0.04210253,0.01206583,0.1362735,0.02492636,0.7433645],"study_design_scores_gemma":[0.0002268564,0.001426097,0.07097177,0.0004193391,0.0004001193,0.003863416,0.001091913,0.336474,0.0146123,0.5017112,0.06817087,0.0006321076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02282267,0.0004712749,0.9674404,0.0004620106,0.0003199477,0.0003633384,0.0007637184,0.001082604,0.006274013],"genre_scores_gemma":[0.5115714,0.001625625,0.474861,0.0008764846,0.0009785453,0.001883813,0.002517772,0.0007720803,0.004913244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01478904,"threshold_uncertainty_score":0.07821286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031617595","doi":"10.1016/j.jspi.2007.03.029","title":"Proportional reversed hazard rate model and its applications","year":2007,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":237,"is_retracted":false,"has_abstract":false,"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":"Mathematics; Hazard; Monotonic function; Hazard ratio; Statistics; Proportional hazards model; Econometrics; Inference; Fisher information; Applied mathematics; Mathematical analysis; Computer science; Artificial intelligence; Confidence interval","authors":[{"name":"Ramesh C. Gupta","is_ca":true},{"name":"Rameshwar D. Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1079574168429293,"gpt":0.4177816698030755,"spread":0.3098242529601462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01078422,0.001280467,0.002112232,0.001914955,0.0005693429,0.00181437,0.005134294,0.002549308,0.01235755],"category_scores_gemma":[0.03816327,0.0009604402,0.002531563,0.002079058,0.001833007,0.00348781,0.001715298,0.005110659,0.002002469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148152,"about_ca_system_score_gemma":0.002559122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934236,"about_ca_topic_score_gemma":0.002383321,"domain_scores_codex":[0.9970562,0.001650123,0.0001371023,0.0004904869,0.0005024116,0.000163689],"domain_scores_gemma":[0.9848014,0.01128773,0.0008436825,0.001355877,0.001442984,0.0002683321],"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":[0.0001968596,0.0001464398,0.002460892,0.000226837,0.0001479712,0.0005581256,0.0002426854,0.1098081,0.0004275932,0.8178923,0.007434823,0.06045751],"study_design_scores_gemma":[0.00008606831,0.00008058012,0.0004187766,0.00003564982,0.0001054931,0.000791443,0.00005871,0.4697386,0.0002723701,0.5202625,0.008101409,0.00004841366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004470497,0.0009816816,0.9896347,0.001265167,0.0002180353,0.00007599799,0.0002926594,0.0002133609,0.002847875],"genre_scores_gemma":[0.4108306,0.007598824,0.518057,0.001548732,0.001352131,0.001008508,0.001613086,0.0004598315,0.05753118],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01235755,"threshold_uncertainty_score":0.05703312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090001193","doi":"10.1016/j.csda.2010.01.003","title":"Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data","year":2010,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":236,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Markov chain Monte Carlo; Statistics; Mathematics; Gibbs sampling; Estimator; Bayesian inference; Bayes' theorem; Weibull distribution; Bayesian probability; Inference; Computer science; Artificial intelligence","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"Hatem A. Howlader","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1298647633813924,"gpt":0.4049985843841415,"spread":0.2751338210027491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01872161,0.00114135,0.002474399,0.00265977,0.0008292695,0.002990171,0.003464116,0.002469619,0.003027561],"category_scores_gemma":[0.09368207,0.001770796,0.002346801,0.002612215,0.002718343,0.003625924,0.002103558,0.00469155,0.0009914752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845871,"about_ca_system_score_gemma":0.00255903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006563587,"about_ca_topic_score_gemma":0.005198684,"domain_scores_codex":[0.9947243,0.002949573,0.0002703647,0.0009086156,0.0008143602,0.000332683],"domain_scores_gemma":[0.9435745,0.04739978,0.002578118,0.003648679,0.002258544,0.0005403584],"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":[0.0004473556,0.0001596052,0.01181134,0.0003118388,0.0003392951,0.0002748513,0.0004818517,0.6888724,0.001306751,0.2006424,0.004465655,0.09088676],"study_design_scores_gemma":[0.000025759,0.00001963555,0.001355654,0.00004828007,0.00003025251,0.00006528799,0.0000291451,0.8837335,0.0003316186,0.1138217,0.0005094456,0.00002974293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01901986,0.0004272917,0.9788631,0.0004813051,0.00005298578,0.00003775015,0.000179549,0.0002118465,0.0007262981],"genre_scores_gemma":[0.6914476,0.002224419,0.2966948,0.0004538519,0.0005066714,0.0003663587,0.001889811,0.0003636418,0.006052917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01872161,"threshold_uncertainty_score":0.09901053,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2051474485","doi":"10.1198/004017004000000482","title":"Optimal Progressive Censoring Plans for the Weibull Distribution","year":2004,"lang":"en","type":"article","venue":"Technometrics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":230,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Censoring (clinical trials); Weibull distribution; Statistics; Mathematics; Fisher information; Maximum likelihood; Econometrics","authors":[{"name":"Hon Keung Tony Ng","is_ca":false},{"name":"Pik Chan","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08562049267018103,"gpt":0.3740222215509656,"spread":0.2884017288807846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005095724,0.0006791681,0.000528105,0.001097625,0.0005729391,0.0007586744,0.0009539016,0.0005764881,0.002659229],"category_scores_gemma":[0.02079722,0.0003875735,0.0006070617,0.0007493361,0.001120953,0.001381739,0.001236861,0.001219758,0.0004640905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007165068,"about_ca_system_score_gemma":0.001288001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379078,"about_ca_topic_score_gemma":0.001778699,"domain_scores_codex":[0.9982882,0.0007719953,0.00008621306,0.0001909811,0.0005207387,0.0001418098],"domain_scores_gemma":[0.9926445,0.005230237,0.0005145998,0.0008394465,0.0005901188,0.0001810467],"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":[0.0005554325,0.0001338562,0.005313517,0.0001651374,0.00004996969,0.0002379053,0.0004364246,0.5265816,0.008176008,0.2078068,0.001324756,0.2492186],"study_design_scores_gemma":[0.00009743906,0.0003136289,0.002961318,0.00007704477,0.0000437636,0.0001667899,0.0001311816,0.794762,0.01022483,0.1883442,0.002819857,0.00005796862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03031352,0.0001176747,0.9680964,0.00006678861,0.000006489416,0.00008549671,0.00004359966,0.0001046616,0.00116537],"genre_scores_gemma":[0.4094195,0.0003164202,0.5882558,0.00005525613,0.00002636938,0.0002876521,0.000268705,0.0001084608,0.001261821],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005095724,"threshold_uncertainty_score":0.02694905,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058588258","doi":"10.1002/nav.20285","title":"On the application and extension of system signatures in engineering reliability","year":2008,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":229,"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":"Signature (topology); Reliability (semiconductor); Component (thermodynamics); Independent and identically distributed random variables; Representation (politics); Extension (predicate logic); Stochastic ordering; Computer science; Random variable; Algorithm; Mathematics; Applied mathematics; Statistical physics; Statistics; Physics; Thermodynamics","authors":[{"name":"Jorge Navarro","is_ca":false},{"name":"Francisco J. Samaniego","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Debasis Bhattacharya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1953360161124612,"gpt":0.426894687470171,"spread":0.2315586713577098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006278566,0.0006704994,0.00078684,0.002191645,0.0006219907,0.001920774,0.001142455,0.0009785192,0.001733366],"category_scores_gemma":[0.03045891,0.0004160393,0.0009092505,0.002304494,0.003754413,0.005339094,0.002806234,0.002379621,0.0003949936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089164,"about_ca_system_score_gemma":0.001183425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000799144,"about_ca_topic_score_gemma":0.0002979695,"domain_scores_codex":[0.9957395,0.001892762,0.0002313217,0.0004819153,0.001425075,0.0002293565],"domain_scores_gemma":[0.9828283,0.0108062,0.001689304,0.002633933,0.001749175,0.0002930709],"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":[0.00004608426,0.00002102634,0.0006608954,0.00005122342,0.0000152536,0.00008404859,0.0002235078,0.04717414,0.001330956,0.9113773,0.0004695729,0.03854593],"study_design_scores_gemma":[0.00001002007,0.00007971397,0.0004251945,0.00004426877,0.00001325545,0.0002150328,0.00004410005,0.2797269,0.002051375,0.7128105,0.004548918,0.00003075159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02490376,0.000878242,0.9656063,0.0006803042,0.0001012178,0.00003137077,0.00005588616,0.0001094698,0.007633418],"genre_scores_gemma":[0.7685686,0.002517991,0.2228698,0.000414669,0.0004604909,0.000154288,0.0001575557,0.000144619,0.004711967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006278566,"threshold_uncertainty_score":0.03320462,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W657701531","doi":"10.1007/978-1-4612-0103-8","title":"Goodness-of-Fit Tests and Model Validity","year":2002,"lang":"en","type":"book","venue":"Birkhäuser Boston eBooks","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":202,"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":"Goodness of fit; Psychology; Statistics; Econometrics; Mathematics","authors":[{"name":"Catherine Huber‐Carol","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"M. S. Nikulin","is_ca":false},{"name":"Mounir Mesbah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3213731346909166,"gpt":0.3886949470749349,"spread":0.06732181238401835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08190966,0.002600763,0.004998334,0.01331223,0.002719552,0.00910126,0.005543844,0.003996803,0.04500322],"category_scores_gemma":[0.5489215,0.001460475,0.005521195,0.01418436,0.007516095,0.01030433,0.004836829,0.00716272,0.009529828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003854983,"about_ca_system_score_gemma":0.006502089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004780923,"about_ca_topic_score_gemma":0.003015404,"domain_scores_codex":[0.8988543,0.07318361,0.003702382,0.008010063,0.01516247,0.001087067],"domain_scores_gemma":[0.4003264,0.539798,0.01260899,0.02567344,0.01978843,0.001804769],"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":[0.0005266082,0.0002530459,0.05583379,0.002800608,0.003263731,0.0006983379,0.001936838,0.08479775,0.0002108109,0.4004206,0.1419076,0.3073502],"study_design_scores_gemma":[0.000157767,0.0003696913,0.01453361,0.002807329,0.0003776327,0.0005851607,0.001819024,0.1601296,0.0003457077,0.7774521,0.04118204,0.0002402576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0253182,0.01230306,0.8572471,0.01301391,0.00349101,0.001517174,0.01157984,0.003300503,0.07222913],"genre_scores_gemma":[0.5958633,0.007368294,0.3580039,0.00422755,0.002989873,0.006045989,0.01443608,0.003038474,0.00802654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08190966,"threshold_uncertainty_score":0.4331849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137554980","doi":"10.1002/cjs.5550340403","title":"A unified view on skewed distributions arising from selections","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":201,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Skew; Selection (genetic algorithm); Multivariate statistics; Skew normal distribution; Parametric statistics; Multivariate normal distribution; Econometrics; Computer science; Distribution (mathematics); Mathematics; Statistics; Statistical physics; Artificial intelligence; Physics; Mathematical analysis","authors":[{"name":"Reinaldo B. Arellano‐Valle","is_ca":false},{"name":"Máaarcia D. Branco","is_ca":false},{"name":"Marc G. Genton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04966933493043046,"gpt":0.3036805044028415,"spread":0.254011169472411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007002685,0.0007166031,0.001049332,0.003099961,0.001206361,0.003692837,0.001755849,0.001509836,0.006745354],"category_scores_gemma":[0.02273353,0.0005253197,0.001070391,0.002228361,0.003736757,0.005474153,0.003667496,0.002820099,0.0008301661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394397,"about_ca_system_score_gemma":0.0007223791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007848731,"about_ca_topic_score_gemma":0.0004232625,"domain_scores_codex":[0.9964386,0.001619169,0.0001521107,0.0004269678,0.001066122,0.0002969612],"domain_scores_gemma":[0.9812207,0.0118509,0.001814216,0.001787557,0.002464393,0.0008622628],"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":[0.00002241661,0.00001431886,0.001159739,0.00003172079,0.00001606146,0.0002218887,0.0002065873,0.009776763,0.0005572069,0.9777647,0.001115349,0.009113234],"study_design_scores_gemma":[0.00001512611,0.00002614048,0.0007634827,0.00003969673,0.000008574048,0.0003784886,0.0001406515,0.07515924,0.0002492106,0.9189261,0.004269468,0.00002370807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05037984,0.001302576,0.9282296,0.001738999,0.0001296853,0.00005170239,0.0001847223,0.0001879164,0.01779493],"genre_scores_gemma":[0.8742357,0.002569011,0.1089683,0.001101,0.001068822,0.0002616599,0.0003202511,0.0002529988,0.01122225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007002685,"threshold_uncertainty_score":0.03703415,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995525894","doi":"10.1016/j.spl.2008.05.019","title":"On the maximum likelihood estimation of parameters of Weibull distribution based on complete and censored data","year":2008,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":200,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Weibull distribution; Maximum likelihood; Estimator; Statistics; Applied mathematics; Estimation theory; Exponentiated Weibull distribution; Uniqueness; Maximum likelihood sequence estimation; Mathematical analysis","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Maria Kateri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09873282585344191,"gpt":0.3177817352477792,"spread":0.2190489093943373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01171015,0.001803988,0.003028758,0.002118285,0.0007116249,0.002399278,0.003373956,0.002457791,0.00210861],"category_scores_gemma":[0.06347651,0.002206672,0.002303697,0.002915147,0.00250734,0.004299723,0.003336848,0.003053623,0.0007526482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090233,"about_ca_system_score_gemma":0.001768758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004297335,"about_ca_topic_score_gemma":0.002660915,"domain_scores_codex":[0.9946139,0.003906263,0.0002286535,0.0004942709,0.0006148063,0.0001420964],"domain_scores_gemma":[0.963426,0.03334583,0.0009640972,0.001171592,0.0008994314,0.000193138],"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":[0.000254563,0.00006879703,0.001982407,0.0005771858,0.0002604875,0.0002483518,0.0003955945,0.7921649,0.00178352,0.1060667,0.002323594,0.09387387],"study_design_scores_gemma":[0.00001636864,0.00002125606,0.0004051746,0.00004842816,0.00002222499,0.00006052631,0.00001970615,0.9319137,0.0003795499,0.06649307,0.0005813937,0.00003854374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002719267,0.0004447769,0.9962375,0.000126224,0.0000157856,0.00002040688,0.00004066718,0.00008047289,0.0003149902],"genre_scores_gemma":[0.2306391,0.003677303,0.7596672,0.0002984232,0.000468114,0.0004639009,0.001274116,0.000343599,0.003168232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171015,"threshold_uncertainty_score":0.06192994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138986862","doi":"10.1002/sim.5452","title":"Generating survival times to simulate Cox proportional hazards models with time‐varying covariates","year":2012,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":198,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Heart and Stroke Foundation of Canada","keywords":"Covariate; Proportional hazards model; Statistics; Weibull distribution; Gompertz function; Mathematics; Statistical model; Econometrics; Computer science","authors":[{"name":"Peter C. Austin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06665911353813758,"gpt":0.3846642828112441,"spread":0.3180051692731065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01374291,0.0008771619,0.000987488,0.001354776,0.0004737274,0.001190007,0.002086062,0.001555863,0.00673787],"category_scores_gemma":[0.06181479,0.0006107449,0.001374934,0.001330083,0.001095465,0.001402444,0.001169382,0.002853708,0.0009475405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407145,"about_ca_system_score_gemma":0.001882546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922246,"about_ca_topic_score_gemma":0.003447239,"domain_scores_codex":[0.9957432,0.003089623,0.0002076641,0.0003533555,0.0004378846,0.0001682368],"domain_scores_gemma":[0.9463238,0.0474557,0.002166143,0.002000666,0.001710204,0.0003433941],"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":[0.0002301606,0.0001128695,0.004467131,0.0001000767,0.0000728067,0.0001582544,0.0002469119,0.8820576,0.000572374,0.08739276,0.001859971,0.02272916],"study_design_scores_gemma":[0.0000780585,0.00006864387,0.0003253694,0.00003440316,0.00002029539,0.00004918287,0.00003284147,0.9577894,0.000818176,0.03936449,0.001396585,0.00002252334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03031676,0.0001402072,0.9659995,0.0003640405,0.00006855208,0.0004540903,0.0005706556,0.000602116,0.001484139],"genre_scores_gemma":[0.3766026,0.000540782,0.6126078,0.0004556423,0.00006689229,0.00348267,0.002294208,0.0002826383,0.003666778],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01374291,"threshold_uncertainty_score":0.07268029,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2051679410","doi":"10.1016/s0167-7152(01)00047-5","title":"On the multivariate probability integral transformation","year":2001,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":191,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Transformation (genetics); Random variable; Bivariate analysis; Multivariate normal distribution; Combinatorics; Maxima; Probability theory; Multivariate statistics; Probability distribution; Distribution (mathematics); Sequence (biology); Multivariate stable distribution; Function (biology); Characteristic function (probability theory); Probability density function; Mathematical analysis; Statistics; Normal-Wishart distribution","authors":[{"name":"Christian Genest","is_ca":true},{"name":"Louis‐Paul Rivest","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0893554095381958,"gpt":0.3425187243114832,"spread":0.2531633147732874,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002453385,0.0006849771,0.0008424846,0.001837083,0.0008183753,0.002113867,0.0008841766,0.001094486,0.006015091],"category_scores_gemma":[0.009849824,0.000387204,0.0008256446,0.001810605,0.00378883,0.004343644,0.002203404,0.00346042,0.001166222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027293,"about_ca_system_score_gemma":0.0007762683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435112,"about_ca_topic_score_gemma":0.0006308985,"domain_scores_codex":[0.9991033,0.0003684994,0.0000363895,0.0001652536,0.0002513468,0.00007517327],"domain_scores_gemma":[0.9977562,0.001302445,0.0001895157,0.0002508452,0.0003485702,0.0001525051],"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":[0.000009018278,0.000005227249,0.00008648002,0.00001055403,0.000003597493,0.00002606319,0.00004361347,0.001888131,0.0002948499,0.9898074,0.0006779604,0.007147075],"study_design_scores_gemma":[0.000003010013,0.000005653859,0.0001676467,0.000008489674,0.000003757858,0.00006769233,0.00001395422,0.02273203,0.0001499383,0.9742725,0.002567472,0.000007809017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03075124,0.002566515,0.9149328,0.003109289,0.0005843254,0.00002303166,0.0001222514,0.0001801653,0.04773034],"genre_scores_gemma":[0.7776651,0.007062788,0.1512297,0.001763297,0.003084986,0.0001163144,0.0004306512,0.000642785,0.05800425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006015091,"threshold_uncertainty_score":0.02012247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053721748","doi":"10.1016/s0167-9473(02)00206-2","title":"Discriminating between Weibull and generalized exponential distributions","year":2003,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":178,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Weibull distribution; Mathematics; Logarithm; Statistics; Natural exponential family; Exponential family; Exponential distribution; Exponential function; Applied mathematics; Gamma distribution; Exponentiated Weibull distribution; Sample size determination; Heavy-tailed distribution; Random variable; Mathematical analysis","authors":[{"name":"Rameshwar D. Gupta","is_ca":true},{"name":"Debasis Kundu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1606781676408846,"gpt":0.4147524495579304,"spread":0.2540742819170458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008859363,0.0007437993,0.0008831683,0.003014584,0.0006056066,0.003080672,0.001107865,0.002008073,0.001580067],"category_scores_gemma":[0.04283118,0.0003718035,0.0008239214,0.001614247,0.001073672,0.003986592,0.001539094,0.001354874,0.0008126043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004234703,"about_ca_system_score_gemma":0.0007386123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004359905,"about_ca_topic_score_gemma":0.0005468618,"domain_scores_codex":[0.9970677,0.001187464,0.0002243577,0.0004113677,0.0007718483,0.0003371084],"domain_scores_gemma":[0.9573569,0.03272675,0.002426697,0.002861962,0.003720803,0.0009068701],"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":[0.004931461,0.0005082677,0.2147754,0.0004882138,0.0003349175,0.001524269,0.001095493,0.08035497,0.05023757,0.09127723,0.006486676,0.5479856],"study_design_scores_gemma":[0.0002159225,0.0005890516,0.05441424,0.0001402628,0.0002913487,0.004127799,0.001854841,0.6966173,0.02829142,0.2055547,0.007714792,0.0001882178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5583879,0.0007907299,0.4358104,0.0006145919,0.0001345276,0.00007052842,0.0002454218,0.0005337279,0.003412092],"genre_scores_gemma":[0.9538857,0.0003136921,0.04436028,0.0001225809,0.00008973847,0.00002807404,0.0003388639,0.00008194777,0.0007791577],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008859363,"threshold_uncertainty_score":0.04685336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008968657","doi":"10.5539/ijsp.v2n3p31","title":"Exponentiated $T$-$X$ Family of Distributions with Some Applications","year":2013,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":177,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Kurtosis; Weibull distribution; Exponentiated Weibull distribution; Mathematics; Natural exponential family; Exponential function; Skewness; Exponential distribution; Exponential family; Statistics; Applied mathematics; Statistical physics; Mathematical analysis; Physics","authors":[{"name":"Ahmad Alzaghal","is_ca":false},{"name":"Felix Famoye","is_ca":false},{"name":"Carl Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0357656477611145,"gpt":0.323469823712966,"spread":0.2877041759518515,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129103,0.0007088387,0.0006644751,0.001691438,0.0006582813,0.001130916,0.0009913561,0.0008002385,0.002030536],"category_scores_gemma":[0.007884988,0.0002428794,0.0009858204,0.001616983,0.001082036,0.002180127,0.0008528807,0.001447703,0.0004740606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007755188,"about_ca_system_score_gemma":0.0005082175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100995,"about_ca_topic_score_gemma":0.0004720697,"domain_scores_codex":[0.9989267,0.000303717,0.00007681638,0.0002650503,0.000319219,0.0001084227],"domain_scores_gemma":[0.9954317,0.002432601,0.0006207158,0.0003730546,0.0009952753,0.0001467699],"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":[0.0003994826,0.0001297624,0.0229302,0.0004261478,0.0002369372,0.003402062,0.000809284,0.2279374,0.01279375,0.5520592,0.009186107,0.1696897],"study_design_scores_gemma":[0.00002797317,0.0001548146,0.004520063,0.00007496375,0.00003727998,0.00297634,0.0002151746,0.7644638,0.002555436,0.2100811,0.01480854,0.00008449664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04456707,0.002936771,0.9477931,0.0005124751,0.0001262979,0.0000421603,0.0002457211,0.0002594585,0.00351687],"genre_scores_gemma":[0.7706749,0.006947914,0.2127458,0.0004243366,0.0005065343,0.0002361963,0.0009768103,0.0001967649,0.007290735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002129103,"threshold_uncertainty_score":0.01125991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W109913410","doi":"10.1080/00224065.2007.11917671","title":"Point and Interval Estimation for a Simple Step-Stress Model with Type-II Censoring","year":2007,"lang":"en","type":"article","venue":"Journal of Quality Technology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":172,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Censoring (clinical trials); Mathematics; Accelerated life testing; Estimator; Monte Carlo method; Interval estimation; Statistics; Confidence interval; Parametric statistics; Point estimation; Exponential distribution; Applied mathematics; Stress (linguistics); Weibull distribution","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Debasis Kundu","is_ca":false},{"name":"Keung Tony Ng","is_ca":false},{"name":"Nandini Kannan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1153894222336355,"gpt":0.4486823155433314,"spread":0.3332928933096959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0211611,0.0008769997,0.00195321,0.002224745,0.0003719151,0.001531784,0.00305305,0.002220386,0.004601215],"category_scores_gemma":[0.1006202,0.0006347374,0.001493088,0.002251833,0.001910964,0.00335771,0.001667413,0.002679596,0.0007027161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007816174,"about_ca_system_score_gemma":0.0009463361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535613,"about_ca_topic_score_gemma":0.00162554,"domain_scores_codex":[0.9934267,0.004178168,0.0002517849,0.0009434271,0.0009206196,0.0002792707],"domain_scores_gemma":[0.8817952,0.1068338,0.003930813,0.004407645,0.002509399,0.0005232051],"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":[0.0004769681,0.0001886486,0.01500567,0.0003552845,0.0004446727,0.0005935865,0.0004508859,0.5917407,0.001544331,0.2756766,0.002293295,0.1112294],"study_design_scores_gemma":[0.00004333469,0.00008617836,0.002619999,0.00004392432,0.00004643086,0.0001514683,0.00004854936,0.8858449,0.0004646636,0.1097917,0.0008117816,0.00004707091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0163614,0.0002635051,0.9824718,0.0001233546,0.0000175254,0.00005229973,0.0001624751,0.0001553779,0.0003923469],"genre_scores_gemma":[0.5799337,0.001280376,0.4129933,0.0002010272,0.0001834874,0.0005898853,0.00145833,0.0001492985,0.003210456],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0211611,"threshold_uncertainty_score":0.1119119,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003943689","doi":"10.1016/j.jmva.2008.06.012","title":"Bivariate generalized exponential distribution","year":2008,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":168,"is_retracted":false,"has_abstract":false,"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":"Mathematics; Natural exponential family; Joint probability distribution; Exponential family; Exponential distribution; Exponential function; Generalized beta distribution; Laplace distribution; Bivariate analysis; Generalized integer gamma distribution; Exponentially modified Gaussian distribution; Gamma distribution; Applied mathematics; Inverse-chi-squared distribution; Cumulative distribution function; Probability density function; Statistics; Distribution fitting; Mathematical analysis","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"Rameshwar D. Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08116340707193084,"gpt":0.3698286925315576,"spread":0.2886652854596268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002459253,0.0007610785,0.0009996231,0.001598679,0.0005049293,0.001735402,0.0008466593,0.001350001,0.008649843],"category_scores_gemma":[0.01582828,0.0003823535,0.0009047838,0.002472213,0.001512106,0.002309061,0.001325255,0.001787613,0.002538428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777934,"about_ca_system_score_gemma":0.001221105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387067,"about_ca_topic_score_gemma":0.001006413,"domain_scores_codex":[0.9989479,0.0004365253,0.00004580963,0.0002206746,0.0002535499,0.00009553484],"domain_scores_gemma":[0.9945078,0.002247865,0.0005717154,0.0009182552,0.001525139,0.0002293264],"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":[0.00006468423,0.00003482119,0.001805234,0.00006943047,0.00004194997,0.0002010732,0.0001243674,0.02684685,0.001926028,0.91921,0.006952423,0.04272314],"study_design_scores_gemma":[0.00002956568,0.0000450056,0.002557651,0.00005806443,0.00007027975,0.0008079478,0.0001049314,0.3000702,0.001214847,0.6748852,0.02008958,0.00006676786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02251843,0.001107184,0.9637851,0.001012706,0.0002742998,0.00004190954,0.0002820265,0.0003856823,0.01059259],"genre_scores_gemma":[0.7982251,0.004894048,0.1470546,0.0008404548,0.0008965364,0.0002817232,0.001182951,0.0003911922,0.04623337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008649843,"threshold_uncertainty_score":0.02893662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045907900","doi":"10.1016/j.econlet.2007.05.022","title":"A robust modification of the Jarque–Bera test of normality","year":2007,"lang":"en","type":"article","venue":"Economics Letters","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":157,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Normality; Normality test; Statistic; Econometrics; Statistics; Mathematics; Variance (accounting); Test statistic; Measure (data warehouse); Economics; Statistical hypothesis testing; Computer science; Accounting; Data mining","authors":[{"name":"Yulia R. Gel","is_ca":true},{"name":"Joseph L. Gastwirth","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08776166750716759,"gpt":0.3080628994442251,"spread":0.2203012319370575,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02101278,0.001542138,0.004229721,0.004140239,0.001458992,0.004282513,0.005228055,0.003518299,0.01163277],"category_scores_gemma":[0.1524458,0.00102674,0.002552151,0.00379766,0.004026892,0.005823528,0.00582961,0.00471727,0.004110238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193097,"about_ca_system_score_gemma":0.003434443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002088314,"about_ca_topic_score_gemma":0.001982202,"domain_scores_codex":[0.9715236,0.01570957,0.001293503,0.004653257,0.005891132,0.0009289059],"domain_scores_gemma":[0.9100031,0.05652333,0.004866677,0.01715019,0.009883878,0.001572819],"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":[0.001978589,0.0004229692,0.01322327,0.0007137314,0.001319033,0.0006124193,0.0004914015,0.04532705,0.01545749,0.3783146,0.01780125,0.5243381],"study_design_scores_gemma":[0.0004605142,0.001081718,0.01629986,0.0002363873,0.0004751139,0.001698366,0.0002716914,0.5665193,0.01171773,0.3619353,0.03881243,0.0004915458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01487352,0.0007346572,0.9776919,0.0008532997,0.0006641288,0.0001551387,0.0004847175,0.0007722971,0.003770398],"genre_scores_gemma":[0.3522108,0.0008517124,0.6305199,0.001045808,0.001796265,0.0006748327,0.001944221,0.001309554,0.009646883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02101278,"threshold_uncertainty_score":0.1111276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167666647","doi":"10.1002/nav.20038","title":"Exact likelihood inference for the exponential distribution under generalized Type‐I and Type‐II hybrid censoring","year":2004,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Censoring (clinical trials); Mathematics; Exponential distribution; Estimator; Statistics; Applied mathematics; Confidence interval; Exponential function; Exponential family; Mathematical analysis","authors":[{"name":"B. Chandrasekar","is_ca":false},{"name":"Aaron Childs","is_ca":true},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2947497052201789,"gpt":0.489670309686943,"spread":0.1949206044667641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01702022,0.0006817299,0.001366369,0.00151507,0.0004854334,0.00197554,0.00256158,0.002014656,0.001819137],"category_scores_gemma":[0.07510585,0.0007414681,0.001241539,0.001835894,0.003331926,0.003917435,0.002882784,0.002221488,0.0003433979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274847,"about_ca_system_score_gemma":0.0008438311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629411,"about_ca_topic_score_gemma":0.001247803,"domain_scores_codex":[0.9920813,0.004614303,0.0003496078,0.000851818,0.00169449,0.0004084737],"domain_scores_gemma":[0.9278215,0.05398296,0.004828121,0.009446162,0.003386904,0.0005343598],"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":[0.0008020765,0.0001284412,0.01584747,0.0003278087,0.0003549952,0.000715819,0.0005991199,0.4610186,0.005111999,0.3991899,0.001625119,0.1142786],"study_design_scores_gemma":[0.0001019757,0.00007764425,0.002609165,0.00005577517,0.00004816804,0.0002336102,0.00006094646,0.8180996,0.003105675,0.1746453,0.0008992991,0.00006285251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03288983,0.0002558753,0.9658252,0.0001344506,0.00001931679,0.00002676666,0.00006012102,0.00009259434,0.0006958866],"genre_scores_gemma":[0.7733731,0.0005060489,0.2233138,0.0002037042,0.000121192,0.0001672644,0.0003503323,0.00006769619,0.001896912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01702022,"threshold_uncertainty_score":0.09001261,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104358719","doi":"10.1080/03610920008832483","title":"Ridge estimator in singulah oesiun with application to age-period-cohort analysis of disease rates","year":2000,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Estimator; Mathematics; Ridge; Stein's unbiased risk estimate; Minimum-variance unbiased estimator; Statistics; Bias of an estimator; Trimmed estimator; Applied mathematics; Geology","authors":[{"name":"Wenjiang J. Fu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03850612141641994,"gpt":0.4561220381053789,"spread":0.417615916688959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01388528,0.000606721,0.001183097,0.001118087,0.0004466467,0.0009890326,0.00128611,0.001097519,0.00145527],"category_scores_gemma":[0.02240575,0.0005132674,0.001467118,0.001641899,0.001208837,0.0008514512,0.001442746,0.00183901,0.0005875881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005502769,"about_ca_system_score_gemma":0.001562788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002521645,"about_ca_topic_score_gemma":0.002402028,"domain_scores_codex":[0.9954246,0.003236173,0.0001508596,0.0004531103,0.000594979,0.0001403358],"domain_scores_gemma":[0.987523,0.008975892,0.0007288426,0.001184473,0.001416015,0.0001718541],"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":[0.0001986824,0.0001506914,0.01561298,0.000553976,0.0005738206,0.000710358,0.0005141527,0.2933882,0.008701621,0.3075269,0.006610684,0.365458],"study_design_scores_gemma":[0.00001587928,0.00008810269,0.002389411,0.00003304544,0.00004535194,0.0001658755,0.00005050803,0.9336354,0.001390987,0.05753594,0.004623686,0.00002571739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004590694,0.0005563018,0.9942016,0.0001149701,0.00003194958,0.00001637162,0.00004239794,0.00008304669,0.0003626035],"genre_scores_gemma":[0.2349531,0.003232352,0.7522493,0.0002007083,0.0003861585,0.0004094187,0.0005797421,0.0002495847,0.007739647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01388528,"threshold_uncertainty_score":0.07343322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007065975","doi":"10.3758/bf03195574","title":"QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound","year":2004,"lang":"en","type":"article","venue":"Behavior Research Methods, Instruments, & Computers","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":145,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Weibull distribution; Statistics; Log-normal distribution; Mathematics; Quantile; Monte Carlo method; Estimator; Gumbel distribution; Wald test; Heavy-tailed distribution; Applied mathematics; Probability distribution; Statistical hypothesis testing; Extreme value theory","authors":[{"name":"Andrew Heathcote","is_ca":false},{"name":"Scott Brown","is_ca":false},{"name":"Denis Cousineau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2271583995971476,"gpt":0.5154398128010274,"spread":0.2882814132038798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01209228,0.001534729,0.001703888,0.002844795,0.0005321692,0.001885973,0.002899572,0.00213618,0.003394364],"category_scores_gemma":[0.05344326,0.0008635729,0.001370132,0.001483912,0.001070442,0.003235297,0.003346626,0.001785099,0.001086011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009326457,"about_ca_system_score_gemma":0.001705779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00333574,"about_ca_topic_score_gemma":0.002842112,"domain_scores_codex":[0.9956137,0.002385263,0.000223609,0.0004780221,0.001052945,0.0002464207],"domain_scores_gemma":[0.9772448,0.01832528,0.0009333862,0.002169784,0.001118228,0.0002085148],"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":[0.0008141476,0.0003176047,0.02078747,0.000320753,0.0004569904,0.0002527442,0.0001791088,0.4055575,0.005415041,0.05510194,0.006366929,0.5044299],"study_design_scores_gemma":[0.00004156011,0.0001031052,0.002171961,0.00002927604,0.0000398139,0.0001485298,0.00002518595,0.9684864,0.002044978,0.02577478,0.001104686,0.00002974992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01019216,0.0002189792,0.9878482,0.00008678524,0.00001377215,0.00004951499,0.0001316874,0.001063176,0.0003957992],"genre_scores_gemma":[0.2690269,0.0004693624,0.725598,0.0002269177,0.0001057875,0.0004037122,0.001322521,0.0004264388,0.002420236],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01209228,"threshold_uncertainty_score":0.06395084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001572404","doi":"10.1016/j.csda.2007.09.021","title":"On the hazard function of Birnbaum–Saunders distribution and associated inference","year":2007,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":141,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Estimator; Hazard; Monte Carlo method; Statistics; Mathematics; Function (biology); Inference; Applied mathematics; Statistical inference; Survival function; Cumulative distribution function; Econometrics; Computer science; Probability density function; Artificial intelligence","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"Nandini Kannan","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1075427135555125,"gpt":0.3887252636804368,"spread":0.2811825501249243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03879382,0.001810422,0.004495193,0.005458604,0.001906919,0.003209646,0.005653595,0.003839187,0.008941271],"category_scores_gemma":[0.1369509,0.001663273,0.003408788,0.005398647,0.008661213,0.007698506,0.004295389,0.007775175,0.0009973453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00314215,"about_ca_system_score_gemma":0.004898288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115373,"about_ca_topic_score_gemma":0.005480748,"domain_scores_codex":[0.9896336,0.007186295,0.0003309798,0.001297366,0.001052071,0.0004997107],"domain_scores_gemma":[0.8384726,0.1484992,0.003657805,0.004520371,0.003816798,0.001033257],"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":[0.00008624595,0.00007510104,0.002986487,0.0001687374,0.0001850819,0.0001850683,0.000565663,0.0620327,0.000236227,0.9001424,0.003139758,0.03019649],"study_design_scores_gemma":[0.00004574064,0.00003812418,0.0008796226,0.00007914566,0.00008997934,0.0001268695,0.00007780678,0.283699,0.0001626001,0.7131339,0.001620785,0.00004654273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01178169,0.001289068,0.983429,0.0013467,0.0001387058,0.00006901979,0.0001583735,0.0001327816,0.001654692],"genre_scores_gemma":[0.4931175,0.009097492,0.4682954,0.001839685,0.002750468,0.00131292,0.001519592,0.0005884609,0.02147832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03879382,"threshold_uncertainty_score":0.2051638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000093045","doi":"10.1016/j.jspi.2008.03.036","title":"Exact inference for a simple step-stress model with competing risks for failure from exponential distribution under Type-II censoring","year":2008,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":138,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Censoring (clinical trials); Accelerated life testing; Estimator; Exponential distribution; Applied mathematics; Statistics; Inference; Exponential function; Monte Carlo method; Parametric statistics; Statistical inference; Weibull distribution; Computer science; Mathematical analysis","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Donghoon Han","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1648313708267644,"gpt":0.4107405642197369,"spread":0.2459091933929725,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02444852,0.001594234,0.004376183,0.001829677,0.0007081038,0.002537098,0.005484235,0.003602725,0.005273484],"category_scores_gemma":[0.08190268,0.002677717,0.002893583,0.002212877,0.003454907,0.004633068,0.002905352,0.003571362,0.0005598121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434212,"about_ca_system_score_gemma":0.002365443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007862009,"about_ca_topic_score_gemma":0.006392993,"domain_scores_codex":[0.9944521,0.00283763,0.0003476829,0.001201203,0.0006541099,0.0005072028],"domain_scores_gemma":[0.9040731,0.08401918,0.003530983,0.005479794,0.001729297,0.001167513],"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":[0.0008513642,0.0002396488,0.01564821,0.0004652437,0.0009555458,0.001360253,0.0004761765,0.7049427,0.001449896,0.2253153,0.0022682,0.04602756],"study_design_scores_gemma":[0.0001017244,0.00007300495,0.002273368,0.0000314625,0.0001261884,0.0001739564,0.00004379084,0.8563274,0.0002564044,0.1402649,0.0002797605,0.0000480735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05508904,0.0003002117,0.9430594,0.000450954,0.00006140245,0.00006432008,0.0002434603,0.0002563537,0.0004748073],"genre_scores_gemma":[0.8328906,0.000800566,0.1581751,0.0003587914,0.0003081505,0.0002805178,0.001037858,0.000188044,0.00596027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02444852,"threshold_uncertainty_score":0.1292977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2963358298","doi":"10.1002/asmb.2348","title":"Birnbaum‐Saunders distribution: A review of models, analysis, and applications","year":2018,"lang":"en","type":"review","venue":"Applied Stochastic Models in Business and Industry","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":136,"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":"Bivariate analysis; Multivariate statistics; Computer science; Econometrics; Mathematical economics; Mathematics; Machine learning","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Debasis Kundu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.13868011661064,"gpt":0.3821171640592115,"spread":0.2434370474485716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002317187,0.001243396,0.001800294,0.004589736,0.0004541562,0.00197848,0.001366824,0.001681878,0.003057682],"category_scores_gemma":[0.004713172,0.0005575215,0.0008665572,0.007400562,0.001371058,0.002876247,0.0008533579,0.002353517,0.001918977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726002,"about_ca_system_score_gemma":0.002140834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00403878,"about_ca_topic_score_gemma":0.002926313,"domain_scores_codex":[0.9990001,0.0002680509,0.0001036811,0.0002015168,0.0003774968,0.00004901629],"domain_scores_gemma":[0.9968581,0.002233682,0.0002075777,0.0001160516,0.0005156287,0.00006888695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005421513,0.0001061523,0.0009403709,0.01060384,0.000158236,0.0001469882,0.0002065045,0.005499767,0.0007462657,0.1825405,0.05529644,0.7437007],"study_design_scores_gemma":[0.00001136171,0.00008041495,0.001465847,0.004609289,0.0001448835,0.000775811,0.0001364076,0.004183656,0.0005509822,0.1114294,0.8765291,0.00008285698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002235713,0.9918489,0.004875509,0.000960426,0.00021715,0.000006004068,0.00005593699,0.00001960476,0.001792756],"genre_scores_gemma":[0.004894263,0.9906338,0.002610886,0.0003201195,0.0005877701,0.00001876014,0.00007842029,0.00001169813,0.0008442111],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004589736,"threshold_uncertainty_score":0.01252306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124912911","doi":"10.1017/s0269964813000156","title":"ORDERING PROPERTIES OF ORDER STATISTICS FROM HETEROGENEOUS POPULATIONS: A REVIEW WITH AN EMPHASIS ON SOME RECENT DEVELOPMENTS","year":2013,"lang":"en","type":"review","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Majorization; Stochastic ordering; Statistics; Mathematics; Order statistic; Binomial (polynomial); Econometrics; Computer science; Applied mathematics; Combinatorics","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Peng Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2401877925830492,"gpt":0.3816361365044605,"spread":0.1414483439214113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002242224,0.0009139403,0.001989952,0.002949969,0.0003802372,0.001665508,0.001123865,0.001038193,0.001775719],"category_scores_gemma":[0.006228992,0.0005418799,0.0008142075,0.004475774,0.0015149,0.002935732,0.0007754427,0.001772657,0.0007283359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038859,"about_ca_system_score_gemma":0.001522324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529997,"about_ca_topic_score_gemma":0.001209537,"domain_scores_codex":[0.9989914,0.0002283593,0.0001288883,0.0002652371,0.0003414125,0.00004473307],"domain_scores_gemma":[0.9944525,0.004447184,0.0003406056,0.0001475847,0.0005533364,0.00005875797],"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":[0.00006060922,0.00009730969,0.001784144,0.01324928,0.000202723,0.0002460686,0.0002305431,0.00678321,0.002461009,0.2104825,0.01145685,0.7529458],"study_design_scores_gemma":[0.00004534195,0.0003503324,0.005542581,0.004151445,0.0005003058,0.00450878,0.0003157426,0.01726784,0.005630404,0.3936252,0.5677255,0.0003366319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001759435,0.9578257,0.03527928,0.0008146744,0.0003601814,0.00001545335,0.000104051,0.00004525207,0.003796036],"genre_scores_gemma":[0.02146126,0.9567667,0.0185917,0.0003784682,0.001479979,0.0000399192,0.0002027533,0.00002906242,0.001050183],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002949969,"threshold_uncertainty_score":0.01185817,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1969278343","doi":"10.1080/03610920600683689","title":"Density of the Ratio of Two Normal Random Variables and Applications","year":2006,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":123,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Random variable; Bivariate analysis; Hypergeometric function; Mathematics; Argument (complex analysis); Variables; Statistics; Expression (computer science); Hermite polynomials; Scale (ratio); Hypergeometric distribution; Variable (mathematics); Econometrics; Sum of normally distributed random variables; Normal distribution; Applied mathematics; Multivariate random variable; Calculus (dental); Computer science; Pure mathematics; Mathematical analysis; Physics","authors":[{"name":"T. Pham‐Gia","is_ca":true},{"name":"N. Turkkan","is_ca":true},{"name":"Éric Marchand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04206828495770535,"gpt":0.4258460468971029,"spread":0.3837777619393975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01123168,0.0008988784,0.001630007,0.003226018,0.0007641067,0.003146863,0.002443417,0.003548202,0.004725881],"category_scores_gemma":[0.07762254,0.0005726506,0.00126401,0.002382922,0.008335262,0.0080325,0.004312253,0.006063189,0.001365311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522996,"about_ca_system_score_gemma":0.001101402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124592,"about_ca_topic_score_gemma":0.0004791115,"domain_scores_codex":[0.9945065,0.003271347,0.0002149907,0.0006520238,0.00116845,0.0001867212],"domain_scores_gemma":[0.9743258,0.02058693,0.0007978097,0.001437877,0.002362523,0.0004890443],"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":[0.00001964732,0.000008320962,0.0001829334,0.00004713143,0.000007775822,0.0001284337,0.0001252902,0.002285536,0.0001253412,0.9857618,0.002743929,0.008563898],"study_design_scores_gemma":[0.000008644779,0.00001193479,0.0001720129,0.00003642303,0.000005768426,0.0003610888,0.00006078207,0.01950741,0.0001418114,0.9734195,0.006257786,0.00001685078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02751867,0.0170626,0.8512753,0.05811176,0.003112647,0.00006676511,0.0001688377,0.0003984152,0.04228494],"genre_scores_gemma":[0.7323287,0.02362089,0.1858214,0.01386636,0.01429359,0.0004673098,0.0002855525,0.0005651209,0.02875101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01123168,"threshold_uncertainty_score":0.05939949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062712414","doi":"10.1239/jap/1231340236","title":"Mixture Representations of Residual Lifetimes of Used Systems","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":120,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia y Tecnología","keywords":"Residual; Mathematics; Reliability (semiconductor); Representation (politics); Function (biology); Limiting; Order statistic; Statistical physics; Order (exchange); Applied mathematics; Statistics; Reliability engineering; Algorithm; Quantum mechanics; Physics","authors":[{"name":"Jorge Navarro","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Francisco J. Samaniego","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08988811296174007,"gpt":0.3494209192236095,"spread":0.2595328062618695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00288577,0.001053692,0.0007868246,0.002623864,0.0003011459,0.001706468,0.001849517,0.00123927,0.003252838],"category_scores_gemma":[0.008557137,0.0004667704,0.001284728,0.001190693,0.001037267,0.003728116,0.001168668,0.001668159,0.0006625531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009835379,"about_ca_system_score_gemma":0.0005263948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330172,"about_ca_topic_score_gemma":0.0007728143,"domain_scores_codex":[0.9990031,0.0002640681,0.00005657613,0.0001915911,0.0003384131,0.0001462566],"domain_scores_gemma":[0.9954095,0.002001476,0.0008931782,0.0006407174,0.0009066335,0.0001485514],"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":[0.0002372672,0.00006351606,0.002235626,0.0002478188,0.000123627,0.0002899715,0.0007315703,0.3515621,0.0193192,0.5768415,0.001655503,0.0466923],"study_design_scores_gemma":[0.000007634048,0.00004237106,0.0009700093,0.00001899601,0.00003259675,0.0001647083,0.00006289242,0.8973598,0.002358702,0.09778669,0.001154705,0.00004095581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06010233,0.000521967,0.9357052,0.0001387183,0.00003461835,0.00003503791,0.0001745735,0.0003875986,0.002900023],"genre_scores_gemma":[0.8990721,0.0009668893,0.08935345,0.0001080281,0.0001151698,0.000170746,0.0006442942,0.0003434601,0.009225842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003252838,"threshold_uncertainty_score":0.01526159,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050226735","doi":"10.1007/s11749-006-0030-x","title":"Analyzing skewed data by power normal model","year":2007,"lang":"en","type":"article","venue":"Test","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":117,"is_retracted":false,"has_abstract":false,"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":"Skewness; Skew normal distribution; Skew; Normal distribution; Closeness; Kurtosis; Mathematics; Exponential function; Statistics; Applied mathematics; Econometrics; Computer science; Mathematical analysis","authors":[{"name":"Rameshwar D. Gupta","is_ca":true},{"name":"Ramesh C. Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1131330514832237,"gpt":0.4041322193620374,"spread":0.2909991678788137,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01559058,0.00105678,0.002112366,0.003598793,0.0008330398,0.002288861,0.002363961,0.001383959,0.006207464],"category_scores_gemma":[0.1411541,0.0005311394,0.001266697,0.00314888,0.002915768,0.005622206,0.002468262,0.00250556,0.00143123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008369496,"about_ca_system_score_gemma":0.001507724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007218761,"about_ca_topic_score_gemma":0.0003770629,"domain_scores_codex":[0.9856488,0.008219537,0.0005381292,0.001629303,0.003545125,0.0004190766],"domain_scores_gemma":[0.8785441,0.09982998,0.004837509,0.011307,0.004645678,0.0008357808],"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":[0.001342949,0.0003678012,0.04250812,0.0005602136,0.0006397797,0.00158572,0.001235973,0.1053049,0.006376381,0.2809606,0.00847756,0.5506399],"study_design_scores_gemma":[0.00009254512,0.0002691959,0.005655576,0.00008060874,0.00007569754,0.001049787,0.0002868343,0.6474001,0.003026011,0.3393958,0.002623537,0.00004416435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01516525,0.0001049283,0.9829748,0.0001647313,0.00003391922,0.00008245315,0.0001041345,0.0004472891,0.0009224621],"genre_scores_gemma":[0.5909427,0.0004473912,0.402558,0.0004002167,0.0002600841,0.0009812901,0.0008735286,0.0005765643,0.00296021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01559058,"threshold_uncertainty_score":0.08245182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2070900731","doi":"10.1080/03610920008832632","title":"Distributions of the ratios of independent beta variables and applications","year":2000,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":113,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"BETA (programming language); Statistics; Mathematics; Econometrics; Computer science; Programming language","authors":[{"name":"T. Pham‐Gia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0521084457960943,"gpt":0.4297883120657361,"spread":0.3776798662696418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01036682,0.001884277,0.001694082,0.005709815,0.0007607515,0.0034587,0.002503826,0.001921478,0.008259954],"category_scores_gemma":[0.08917604,0.001196259,0.00135973,0.003605442,0.004282783,0.004742404,0.003114254,0.004229651,0.002040127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555513,"about_ca_system_score_gemma":0.0009455754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008398204,"about_ca_topic_score_gemma":0.00043831,"domain_scores_codex":[0.9955732,0.002378074,0.0001946172,0.00056402,0.001007822,0.0002822271],"domain_scores_gemma":[0.953869,0.03574047,0.003426466,0.00207875,0.003780402,0.001104928],"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":[0.00007640982,0.00003788004,0.0011638,0.0001909301,0.00002933022,0.0003217185,0.0003101639,0.03351013,0.001069909,0.9379659,0.00279199,0.02253188],"study_design_scores_gemma":[0.00004250536,0.0000595225,0.001225923,0.0002073547,0.00003033957,0.00136974,0.0001500341,0.17946,0.001049976,0.8096575,0.006664892,0.00008215641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03486795,0.008230841,0.9266756,0.001670902,0.0003062119,0.00008975301,0.0002509961,0.0005054188,0.02740229],"genre_scores_gemma":[0.7526762,0.0161129,0.2085708,0.0009873697,0.002852205,0.0007893976,0.0005891764,0.0007331661,0.0166889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01036682,"threshold_uncertainty_score":0.05482566,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078223516","doi":"10.1080/03610920701541174","title":"The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application","year":2008,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":112,"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":"Kurtosis; Unimodality; Bimodality; Weibull distribution; Goodness of fit; Mathematics; Statistics; Inference; Applied mathematics; Generalized beta distribution; Econometrics; Computer science; Exponential distribution; Artificial intelligence; Distribution fitting","authors":[{"name":"Antonio Sanhueza","is_ca":false},{"name":"Víctor Leiva","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1836869605816547,"gpt":0.4870242016125189,"spread":0.3033372410308642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009079536,0.000770784,0.001294735,0.005391401,0.001360651,0.003541613,0.001838167,0.001955683,0.007089477],"category_scores_gemma":[0.03267216,0.0004301487,0.001357491,0.005737377,0.005867102,0.005337213,0.002087146,0.002717489,0.00178344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002451559,"about_ca_system_score_gemma":0.002631292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005158859,"about_ca_topic_score_gemma":0.002414592,"domain_scores_codex":[0.9960418,0.002140421,0.0001858169,0.000546474,0.0008800504,0.000205403],"domain_scores_gemma":[0.9825075,0.01219971,0.001255915,0.001457156,0.002068472,0.0005111427],"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":[0.00002243428,0.00001927353,0.001606924,0.000120298,0.00003365902,0.00007300483,0.0004094729,0.006705449,0.0002041427,0.9512005,0.003918401,0.03568641],"study_design_scores_gemma":[0.0000150577,0.00004726195,0.002050722,0.0001835886,0.00002904766,0.0003825107,0.0004177509,0.05233983,0.0002623287,0.9162102,0.02799846,0.00006321086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01865132,0.01311844,0.9393709,0.003055039,0.0005258049,0.0001100265,0.0003293234,0.0002943087,0.02454479],"genre_scores_gemma":[0.6305631,0.0285442,0.3010701,0.001588844,0.003097557,0.001106848,0.001040814,0.0004200381,0.03256851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009079536,"threshold_uncertainty_score":0.04801774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162337456","doi":"10.1080/03610920903009418","title":"Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring","year":2010,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":108,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University","funders":"University of Zanjan; McMaster University","keywords":"Censoring (clinical trials); Confidence interval; Statistics; Mathematics; Inference; Estimator; Bayes' theorem; Exponential distribution; Applied mathematics; Bayesian probability; Econometrics; Computer science; Artificial intelligence","authors":[{"name":"Abbas Rasouli","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1777050052416899,"gpt":0.5278389898436546,"spread":0.3501339846019647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02783919,0.0006467581,0.001204072,0.00196383,0.0005558408,0.001987386,0.002182954,0.001504572,0.004429273],"category_scores_gemma":[0.1472631,0.0004449297,0.001028528,0.00161516,0.004082042,0.003274092,0.002542372,0.002111335,0.0003348253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305538,"about_ca_system_score_gemma":0.001088252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188976,"about_ca_topic_score_gemma":0.001502693,"domain_scores_codex":[0.9901062,0.005991413,0.0003389054,0.001314502,0.001828367,0.0004206239],"domain_scores_gemma":[0.8583863,0.1253577,0.006529629,0.005928406,0.003232028,0.000565882],"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":[0.0006121797,0.0001751332,0.03071586,0.0003585842,0.0002628188,0.0008920011,0.001077045,0.2694436,0.004541888,0.5674785,0.001271342,0.1231711],"study_design_scores_gemma":[0.00008796027,0.0001711887,0.009940274,0.0001423505,0.00008140808,0.0004371944,0.0003173006,0.537472,0.003742997,0.4459621,0.001561328,0.00008396653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08650018,0.0003974328,0.9097471,0.0002380798,0.00002192896,0.00008022656,0.0001673661,0.0001311634,0.002716502],"genre_scores_gemma":[0.8408544,0.0003857258,0.1563061,0.0001023294,0.00005262564,0.0002127719,0.000325737,0.00004787882,0.001712414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02783919,"threshold_uncertainty_score":0.1472294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992325611","doi":"10.1016/j.jmva.2006.07.007","title":"A new class of bivariate distributions and its mixture","year":2006,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":102,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Bivariate analysis; Class (philosophy); Applied mathematics; Exponential function; Bivariate data; Distribution (mathematics); Exponential family; Exponential distribution; Statistics; Random variable; Statistical physics; Mathematical analysis","authors":[{"name":"Ammar M. Sarhan","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03085302236670369,"gpt":0.3435368431934634,"spread":0.3126838208267598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00479717,0.001542499,0.002199238,0.004073387,0.001505034,0.004324226,0.002705399,0.002102306,0.005007186],"category_scores_gemma":[0.01959524,0.00112565,0.002985522,0.003466718,0.003325382,0.006473452,0.004185206,0.004970105,0.00111806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232745,"about_ca_system_score_gemma":0.001052514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173122,"about_ca_topic_score_gemma":0.0006447496,"domain_scores_codex":[0.9968519,0.0009629644,0.0001421175,0.0008931712,0.0008704364,0.0002793964],"domain_scores_gemma":[0.9900827,0.005215804,0.001142213,0.001351147,0.001391253,0.000816827],"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":[0.0000977948,0.00006385527,0.001938263,0.00008469418,0.00008840393,0.0001886629,0.00030698,0.008801285,0.002126884,0.956897,0.00286191,0.02654427],"study_design_scores_gemma":[0.00004892525,0.00007415437,0.001791164,0.00005136425,0.00008233589,0.001124352,0.0001183177,0.2625858,0.0007348094,0.7202687,0.01304248,0.00007760868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02699453,0.00126588,0.9652438,0.0007593583,0.000195026,0.00005329493,0.0002265902,0.0002342081,0.005027473],"genre_scores_gemma":[0.6212674,0.006229427,0.3337306,0.001393425,0.0030296,0.0007525659,0.001791333,0.0008386261,0.03096698],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005007186,"threshold_uncertainty_score":0.02537018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073196023","doi":"10.1109/tit.2011.2170133","title":"Novel Simple Representations for Gaussian Class Multivariate Distributions With Generalized Correlation","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":98,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Weibull distribution; Applied mathematics; Gaussian; Random variable; Rician fading; Independent and identically distributed random variables; Transformation (genetics); Discrete mathematics; Algorithm; Statistics","authors":[{"name":"Norman C. Beaulieu","is_ca":true},{"name":"Kasun T. Hemachandra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0644185346676988,"gpt":0.3275546531182864,"spread":0.2631361184505876,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549358,0.0008302539,0.0007381591,0.001746627,0.0004435729,0.002126679,0.001226942,0.001296966,0.002942739],"category_scores_gemma":[0.005524862,0.0003317072,0.001108187,0.002097058,0.001030974,0.002559595,0.001166067,0.001755119,0.001078246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116998,"about_ca_system_score_gemma":0.001310368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281998,"about_ca_topic_score_gemma":0.001465968,"domain_scores_codex":[0.9992362,0.0001928171,0.00003708392,0.0001013897,0.0003457454,0.00008671171],"domain_scores_gemma":[0.998491,0.0005761702,0.0002394753,0.000222798,0.0003749381,0.00009555274],"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":[0.00003083198,0.00004166506,0.0004868652,0.00009165068,0.00002639741,0.0002199172,0.0001420717,0.05175218,0.002999278,0.8959355,0.003921734,0.04435195],"study_design_scores_gemma":[0.000009881707,0.00001834575,0.0003141079,0.00002500512,0.00001481411,0.0004477552,0.0000426916,0.7227184,0.0008425912,0.2702666,0.005265967,0.00003389089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006931004,0.0003970233,0.9878216,0.0001817975,0.00007647194,0.00002689843,0.00008354304,0.000173396,0.004308338],"genre_scores_gemma":[0.4435748,0.003181013,0.5350942,0.000662983,0.0006174309,0.0002941497,0.0006465942,0.0003574038,0.01557141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002942739,"threshold_uncertainty_score":0.009844422,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105084143","doi":"10.1080/00949650601158336","title":"Exact likelihood inference based on an unified hybrid censored sample from the exponential distribution","year":2008,"lang":"en","type":"article","venue":"Journal of Statistical Computation and Simulation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":96,"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":"Mathematics; Censoring (clinical trials); Exponential distribution; Statistics; Bhattacharyya distance; Exponential family; Inference; Applied mathematics; Order statistic; Computer science; Artificial intelligence","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Abbas Rasouli","is_ca":false},{"name":"N. Sanjari Farsipour","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06821401773137228,"gpt":0.3682209987252419,"spread":0.3000069809938696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01440695,0.0009337328,0.001824177,0.002543857,0.0007103721,0.002021591,0.003275346,0.001865615,0.002698872],"category_scores_gemma":[0.0522798,0.0008614713,0.001712063,0.003402341,0.003139094,0.005389337,0.004195824,0.003812987,0.0005114799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397395,"about_ca_system_score_gemma":0.001453805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733333,"about_ca_topic_score_gemma":0.002246217,"domain_scores_codex":[0.9935912,0.003463956,0.0003171644,0.0009307999,0.001342547,0.0003543547],"domain_scores_gemma":[0.9723627,0.02101901,0.001320215,0.003225139,0.001775603,0.0002972831],"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":[0.0001247005,0.00004899333,0.002196438,0.0001821851,0.0001128472,0.0003329262,0.0004216679,0.1756213,0.001457819,0.7453441,0.001387422,0.07276954],"study_design_scores_gemma":[0.00004003259,0.00003437892,0.0004970052,0.00004782582,0.00003685735,0.0001612146,0.00004232948,0.7181945,0.001029042,0.2778809,0.00199314,0.00004272039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002063038,0.0001487765,0.9971986,0.00006629495,0.00001465566,0.00001132419,0.00002927073,0.00004884979,0.0004192342],"genre_scores_gemma":[0.2428426,0.001070634,0.7523858,0.00031766,0.0001983709,0.000191016,0.0003779306,0.0001007979,0.002515278],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01440695,"threshold_uncertainty_score":0.07619214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2084940370","doi":"10.1016/j.jmva.2009.05.005","title":"Bivariate Birnbaum–Saunders distribution and associated inference","year":2009,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":96,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Bivariate analysis; Estimator; Univariate; Statistics; Restricted maximum likelihood; Moment (physics); Applied mathematics; Monte Carlo method; Inference; M-estimator; Asymptotic distribution; Maximum likelihood; Multivariate statistics; Computer science","authors":[{"name":"Debasis Kundu","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Ahad Jamalizadeh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05521902823671618,"gpt":0.3841364110361241,"spread":0.328917382799408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02115373,0.001112985,0.002902962,0.005284341,0.001591006,0.003103604,0.002862399,0.002358892,0.009412011],"category_scores_gemma":[0.1201653,0.001043069,0.002437354,0.00449071,0.005302996,0.006444084,0.003044726,0.004506347,0.00128595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670205,"about_ca_system_score_gemma":0.002088774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676908,"about_ca_topic_score_gemma":0.002327078,"domain_scores_codex":[0.9930582,0.004670986,0.0002632613,0.000801986,0.0009383627,0.0002670982],"domain_scores_gemma":[0.9120082,0.07521722,0.002970139,0.005083957,0.004058146,0.0006623269],"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":[0.00007627574,0.00008060451,0.002811948,0.00009506984,0.0001361457,0.000115233,0.0002373526,0.02734744,0.0001882675,0.924057,0.003003914,0.04185069],"study_design_scores_gemma":[0.00002676112,0.000025983,0.001076678,0.00005501027,0.0000666726,0.00009096262,0.00006224029,0.2111173,0.0002595249,0.7850381,0.002149403,0.0000312778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01529881,0.0009938782,0.9798868,0.0007558665,0.0001060362,0.00003807912,0.0001310408,0.0001233985,0.002666064],"genre_scores_gemma":[0.5433552,0.00558279,0.4283154,0.0006630293,0.00152711,0.0006563805,0.001256536,0.0002956243,0.01834801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02115373,"threshold_uncertainty_score":0.111873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1988310804","doi":"10.1016/s0167-7152(01)00104-3","title":"Bounds for means and variances of progressive type II censored order statistics","year":2001,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":93,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Order statistic; Statistics; Type (biology); Order (exchange); Set (abstract data type); Regular polygon; Combinatorics; Applied mathematics","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Erhard Cramer","is_ca":false},{"name":"Udo Kamps","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05564251706137772,"gpt":0.3561588917420923,"spread":0.3005163746807146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04096882,0.004033361,0.003862701,0.006706001,0.001822661,0.008098455,0.008263723,0.004459922,0.007603923],"category_scores_gemma":[0.2110853,0.002285572,0.003805816,0.005988916,0.01004996,0.01116846,0.008795992,0.01373452,0.002106903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005272503,"about_ca_system_score_gemma":0.004416405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890258,"about_ca_topic_score_gemma":0.001820288,"domain_scores_codex":[0.9846157,0.005873078,0.0008229961,0.002046027,0.004958022,0.001684122],"domain_scores_gemma":[0.7355227,0.221571,0.00824121,0.02016527,0.0109367,0.003563126],"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":[0.0002799672,0.00008950458,0.001545449,0.0004009424,0.0001735626,0.0001814655,0.0006696532,0.07052432,0.001596868,0.8858239,0.002456273,0.03625816],"study_design_scores_gemma":[0.00003376384,0.00008753291,0.001056303,0.0002494066,0.0001194023,0.0001646849,0.0001123325,0.2181277,0.00122574,0.776272,0.002472551,0.00007854627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008824129,0.002032926,0.9819313,0.000707719,0.0001471364,0.00009915881,0.0002286228,0.0003163419,0.005712582],"genre_scores_gemma":[0.4400564,0.01201482,0.5210859,0.002110989,0.002821993,0.002482082,0.001797761,0.001319494,0.01631065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04096882,"threshold_uncertainty_score":0.2166664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152559857","doi":"10.1016/j.csda.2007.07.003","title":"Lifetime analysis based on the generalized Birnbaum–Saunders distribution","year":2007,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":92,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Applied mathematics; Monte Carlo method; Inference; Goodness of fit; Likelihood function; Statistics; Maximum likelihood; Algorithm; Computer science; Mathematical optimization; Artificial intelligence","authors":[{"name":"Víctor Leiva","is_ca":false},{"name":"Marco Riquelme","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Antonio Sanhueza","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.10581504418069,"gpt":0.3962898694052666,"spread":0.2904748252245766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004422334,0.0007482155,0.001237622,0.003227974,0.00102049,0.001614287,0.00215593,0.001396765,0.005228427],"category_scores_gemma":[0.01480574,0.0004110321,0.00116969,0.001539695,0.002136878,0.005040074,0.001671392,0.001766077,0.001046466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515879,"about_ca_system_score_gemma":0.001194735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002516052,"about_ca_topic_score_gemma":0.00140259,"domain_scores_codex":[0.999106,0.0003542445,0.0000350796,0.0001728651,0.0002162304,0.0001156277],"domain_scores_gemma":[0.9947143,0.003127041,0.0006071483,0.0005627188,0.0007431108,0.0002456678],"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":[0.00006703626,0.00002849033,0.00198927,0.00009754844,0.00006025579,0.0001499354,0.0003154028,0.08577961,0.002220724,0.8756539,0.002967268,0.0306706],"study_design_scores_gemma":[0.0000124909,0.00003424945,0.0009158445,0.00002910688,0.0000317641,0.0002184993,0.00009174276,0.6329941,0.0008242781,0.3608896,0.003919228,0.00003900871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0363512,0.001427658,0.9568919,0.0004979302,0.0000748376,0.00005341001,0.0001356827,0.0002226476,0.004344811],"genre_scores_gemma":[0.8192276,0.004047043,0.1469442,0.0004085857,0.0005013511,0.0003345115,0.0008787188,0.0005155755,0.02714239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005228427,"threshold_uncertainty_score":0.02338785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1997459874","doi":"10.1081/sta-120018824","title":"Closeness of Gamma and Generalized Exponential Distribution","year":2003,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Generalized integer gamma distribution; Gamma distribution; Natural exponential family; Generalized gamma distribution; Generalized beta distribution; Mathematics; Exponential distribution; Exponential family; Exponentially modified Gaussian distribution; Inverse-gamma distribution; Variance-gamma distribution; Distribution (mathematics); Erlang distribution; Heavy-tailed distribution; Phase-type distribution; Log-Cauchy distribution; Exponential function; Univariate distribution; Laplace distribution; Probability integral transform; Inverse-chi-squared distribution; Distribution fitting; Probability distribution; Applied mathematics; Statistics; Mathematical analysis; Asymptotic distribution; Moment-generating function","authors":[{"name":"Rameshwar D. Gupta","is_ca":true},{"name":"Debasis Kundu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0825237880745096,"gpt":0.4690628568007855,"spread":0.3865390687262759,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006514594,0.0006314477,0.001276382,0.002868841,0.0007120564,0.003254663,0.00137973,0.001684919,0.005181632],"category_scores_gemma":[0.07498638,0.0004869883,0.001018473,0.002834024,0.003035354,0.004791907,0.002344425,0.002239196,0.0009125007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580934,"about_ca_system_score_gemma":0.0009349781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889734,"about_ca_topic_score_gemma":0.0006717796,"domain_scores_codex":[0.993708,0.002615955,0.0002785578,0.001307147,0.00164891,0.0004413502],"domain_scores_gemma":[0.9524125,0.03459351,0.003709294,0.003184858,0.005352938,0.0007468294],"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":[0.0004664843,0.00006474106,0.01754806,0.0003281691,0.0002311354,0.001589971,0.001312562,0.1451049,0.003518441,0.7391153,0.004246501,0.08647381],"study_design_scores_gemma":[0.00006189304,0.0001168792,0.007346268,0.000141211,0.00004485666,0.002046082,0.0005100567,0.2171172,0.001716902,0.7576798,0.01310845,0.0001104908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1601425,0.002209313,0.8180633,0.001352161,0.0002039575,0.0001391936,0.0003339632,0.0005407614,0.01701469],"genre_scores_gemma":[0.9387044,0.001380966,0.05380823,0.000462538,0.0002472911,0.0002540532,0.0004557509,0.0002012018,0.004485542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006514594,"threshold_uncertainty_score":0.03445286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028203539","doi":"10.1016/j.csda.2007.10.005","title":"Exact likelihood inference for two exponential populations under joint Type-II censoring","year":2007,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":88,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Censoring (clinical trials); Mathematics; Statistics; Confidence interval; Estimator; Inference; Exponential distribution; Coverage probability; Exponential function; Exact statistics; Applied mathematics; Computer science","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Abbas Rasouli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2456599242717819,"gpt":0.4678217453259685,"spread":0.2221618210541866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02465167,0.0008920119,0.003065357,0.001963467,0.0008179761,0.003801995,0.00411985,0.003151453,0.00366665],"category_scores_gemma":[0.1263531,0.001692788,0.002422384,0.0026971,0.00443217,0.006563765,0.004065098,0.003952455,0.0006679514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908452,"about_ca_system_score_gemma":0.00204691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337848,"about_ca_topic_score_gemma":0.002492263,"domain_scores_codex":[0.9928856,0.003832449,0.0004368994,0.001437073,0.0008427683,0.0005652418],"domain_scores_gemma":[0.9033964,0.08153836,0.004978946,0.006759279,0.002305697,0.001021262],"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":[0.0008060253,0.0002100333,0.01669441,0.0003694304,0.0005543467,0.001134322,0.0009696312,0.3494016,0.001228477,0.5557194,0.003001417,0.06991094],"study_design_scores_gemma":[0.0001091171,0.000033697,0.0018113,0.00005139032,0.00006569525,0.0002620684,0.000116588,0.5978246,0.0005052515,0.3985037,0.000670597,0.00004602418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03049579,0.0002287068,0.9676037,0.0004535754,0.00004028367,0.00004334437,0.0001768997,0.0001421654,0.000815444],"genre_scores_gemma":[0.7397717,0.0007749297,0.2509383,0.0004972477,0.00025741,0.0003743712,0.001323533,0.0001817462,0.005880862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02465167,"threshold_uncertainty_score":0.1303721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W645454122","doi":"10.1007/0-8176-4477-6","title":"Lagrangian Probability Distributions","year":2006,"lang":"en","type":"book","venue":"Birkhäuser-Verlag eBooks","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Lagrangian; Queueing theory; Applied probability; Statistical physics; Probability distribution; Applied mathematics; Branching (polymer chemistry); Computer science; Mathematics; Mathematical optimization; Physics; Statistics; Materials science","authors":[{"name":"P. C. Consul","is_ca":true},{"name":"Felix Famoye","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06209420149320646,"gpt":0.3176086199616961,"spread":0.2555144184684897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524903,0.0008937799,0.0006808483,0.002295294,0.0007460677,0.002517088,0.0008071886,0.0009864048,0.01197136],"category_scores_gemma":[0.003638437,0.000419817,0.0007259561,0.001935405,0.002576365,0.003589123,0.00132665,0.002401733,0.005169543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661199,"about_ca_system_score_gemma":0.001110154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008466,"about_ca_topic_score_gemma":0.0007340082,"domain_scores_codex":[0.9993582,0.0001866119,0.00003007986,0.0001561199,0.000219204,0.00004976443],"domain_scores_gemma":[0.9987878,0.0006521021,0.0001074865,0.0001561028,0.0002245661,0.00007195177],"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":[0.000002714614,0.000003137813,0.00004273912,0.00002951046,0.000003882735,0.00002222995,0.00003938807,0.001340722,0.00009442301,0.9765438,0.006588917,0.0152885],"study_design_scores_gemma":[0.000003613004,0.000008944497,0.0001541385,0.00005614016,0.000004859854,0.0001599597,0.00001660157,0.006656264,0.0001603874,0.8656613,0.1271068,0.00001107309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003270778,0.012736,0.77126,0.004320434,0.0009334146,0.00005231371,0.000825552,0.0003604765,0.206241],"genre_scores_gemma":[0.2788381,0.04908535,0.3504401,0.003709901,0.005830625,0.0004643198,0.002004009,0.0008772103,0.3087504],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01197136,"threshold_uncertainty_score":0.04004818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002649216","doi":"10.1002/nav.20370","title":"Dynamic signatures and their use in comparing the reliability of new and used systems","year":2009,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":85,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada","keywords":"Component (thermodynamics); Signature (topology); Reliability (semiconductor); Property (philosophy); Computer science; Representation (politics); Residual; Independent and identically distributed random variables; Element (criminal law); Reliability engineering; Reliability theory; Theoretical computer science; Algorithm; Mathematics; Failure rate; Random variable; Statistics; Engineering; Physics","authors":[{"name":"Francisco J. Samaniego","is_ca":false},{"name":"N. Balakrishnan","is_ca":true},{"name":"Jorge Navarro","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3197400540967099,"gpt":0.4742333475043197,"spread":0.1544932934076098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007780113,0.0005391486,0.0008371578,0.005403824,0.0004905445,0.002101321,0.001559154,0.0008267495,0.001550004],"category_scores_gemma":[0.05090826,0.0003424383,0.0006213594,0.003413369,0.002508281,0.00386811,0.00295982,0.001066844,0.0002206646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475108,"about_ca_system_score_gemma":0.0009158481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006782024,"about_ca_topic_score_gemma":0.0002821349,"domain_scores_codex":[0.9928061,0.002999624,0.00060091,0.0007452375,0.002492657,0.000355606],"domain_scores_gemma":[0.9623322,0.01780299,0.009989284,0.005191934,0.003915452,0.0007681037],"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":[0.001700203,0.0002886021,0.05390098,0.0002993784,0.0002832721,0.000594649,0.001326554,0.3133027,0.01393897,0.3928772,0.001218515,0.2202691],"study_design_scores_gemma":[0.00005339549,0.001192332,0.0157471,0.0001043354,0.00008249228,0.0007067702,0.0006659066,0.7073613,0.01906059,0.2498159,0.005049929,0.0001598465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4665905,0.0005798069,0.5252471,0.0002614455,0.0001290815,0.000132883,0.0004900247,0.0005996896,0.005969542],"genre_scores_gemma":[0.9697502,0.00006833254,0.02942532,0.00002750648,0.00003272849,0.00006157174,0.0001620447,0.00004448621,0.0004278666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007780113,"threshold_uncertainty_score":0.04114568,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083261712","doi":"10.1081/sta-100107697","title":"SOME RESULTS ON REVERSED HAZARD RATE ORDERING","year":2001,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":83,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mathematics; Hazard; Hazard ratio; Statistics; Computer science; Chemistry; Confidence interval","authors":[{"name":"Rameshwar D. Gupta","is_ca":true},{"name":"Asok K. Nanda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1367012579022618,"gpt":0.4837420009789484,"spread":0.3470407430766866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009850879,0.001214865,0.001139492,0.002376046,0.0007798553,0.001629211,0.001406126,0.001089643,0.008743966],"category_scores_gemma":[0.04147437,0.0005607436,0.001488037,0.00187043,0.002643839,0.003934533,0.00170059,0.004036325,0.001214925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861085,"about_ca_system_score_gemma":0.001465892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475509,"about_ca_topic_score_gemma":0.0006770771,"domain_scores_codex":[0.9958865,0.001770974,0.0002529631,0.0006548112,0.0009597982,0.0004748702],"domain_scores_gemma":[0.9722,0.01949081,0.002349369,0.002282714,0.0027653,0.0009119459],"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":[0.0001776542,0.00007725262,0.001971355,0.000266275,0.00004465848,0.0003941285,0.0002340629,0.02591816,0.002724249,0.9331234,0.003776035,0.03129279],"study_design_scores_gemma":[0.00006834265,0.0002299503,0.001360673,0.00009772358,0.00005586908,0.0005750875,0.00009197527,0.1163219,0.002678721,0.8695365,0.008916126,0.00006722114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05060153,0.004669265,0.8914175,0.002771793,0.0005154473,0.0001237793,0.0006655864,0.0003014591,0.04893368],"genre_scores_gemma":[0.7796549,0.009355393,0.1814787,0.002523027,0.002264257,0.0003223828,0.001326535,0.0004662345,0.02260856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009850879,"threshold_uncertainty_score":0.05209702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}