{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":27,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":27,"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":"ee69cb30fea4","filters":{"venue":"Journal of Biopharmaceutical Statistics"}},"results":[{"id":"W2062668721","doi":"10.1081/bip-120005737","title":"Models for microarray gene expression data","year":2002,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Microarray analysis techniques; Bayes' theorem; Gene chip analysis; Gene expression profiling; Biology; Computer science; DNA microarray; Computational biology; Bayesian probability; Statistics; Data mining; Mathematics; Gene expression; Gene; Genetics","authors":[{"name":"Mei‐Ling Ting Lee","is_ca":false},{"name":"Lu W","is_ca":false},{"name":"G. À. Whitmore","is_ca":true},{"name":"David R. Beier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1426371586387886,"gpt":0.3664022005992131,"spread":0.2237650419604245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01801737,0.0026021,0.00312592,0.003870843,0.001075352,0.00423667,0.006466005,0.003406868,0.00707597],"category_scores_gemma":[0.03613819,0.001818314,0.003545075,0.006024521,0.00195771,0.003251139,0.00263733,0.004534554,0.006096233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003377848,"about_ca_system_score_gemma":0.002123045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00410572,"about_ca_topic_score_gemma":0.004896488,"domain_scores_codex":[0.9845341,0.007750731,0.001122683,0.002587429,0.003530975,0.0004740031],"domain_scores_gemma":[0.9727108,0.02060042,0.001628595,0.002854155,0.001982263,0.0002236724],"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":[0.0001524863,0.0001287582,0.002472388,0.0007577442,0.0003182187,0.0003200216,0.0003964127,0.4619071,0.002445477,0.4367803,0.01424352,0.08007755],"study_design_scores_gemma":[0.00004536988,0.00005264645,0.0005191531,0.00006433421,0.0000425903,0.0002100843,0.00003647986,0.7252598,0.0005033081,0.253209,0.02000095,0.00005629957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007032094,0.0004366431,0.9954115,0.0003361511,0.00006197216,0.0002099699,0.001173758,0.0009560128,0.0007107242],"genre_scores_gemma":[0.05788756,0.002563072,0.9176121,0.0007336105,0.0004077776,0.0055373,0.007828758,0.0006477104,0.006782049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01801737,"threshold_uncertainty_score":0.09528607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989555992","doi":"10.1080/10543400600719251","title":"Statistical Considerations for NonInferiority/Equivalence Trials in Vaccine Development","year":2006,"lang":"en","type":"review","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Victoria","keywords":"Clinical trial; Equivalence (formal languages); Medicine; Sample size determination; Statistical power; Computer science; Statistics; Mathematics; Medical physics; Internal medicine","authors":[{"name":"W. W. B. Wang","is_ca":false},{"name":"Devan V. Mehrotra","is_ca":false},{"name":"I. S. F. Chan","is_ca":false},{"name":"Joseph F. Heyse","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8715293489126777,"gpt":0.692162280269236,"spread":0.1793670686434418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3163666,0.002300726,0.007971782,0.00485298,0.0008072151,0.004554456,0.005513523,0.007597143,0.004862173],"category_scores_gemma":[0.4512807,0.001723156,0.004627583,0.006513427,0.009263859,0.006831618,0.002802863,0.01424791,0.001868316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003610522,"about_ca_system_score_gemma":0.00692157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009475075,"about_ca_topic_score_gemma":0.0008633996,"domain_scores_codex":[0.5448913,0.4092205,0.01576003,0.004786983,0.02469031,0.0006508809],"domain_scores_gemma":[0.3253376,0.6397638,0.0127352,0.01076608,0.01088642,0.0005110464],"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":[0.001151903,0.0001436074,0.001012454,0.02792382,0.002107229,0.00040304,0.0006594353,0.008448531,0.000747695,0.2621399,0.01535298,0.6799093],"study_design_scores_gemma":[0.001589654,0.002698077,0.004786664,0.03122826,0.002044558,0.002328019,0.0003711965,0.03077658,0.003830645,0.6445454,0.275491,0.0003099384],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001149751,0.4326103,0.5383936,0.01512672,0.00433369,0.001632667,0.0002523162,0.0001835419,0.006317466],"genre_scores_gemma":[0.04386117,0.2631793,0.6597852,0.01094241,0.008970133,0.01019835,0.0003207511,0.0003130669,0.002429545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3163666,"threshold_uncertainty_score":0.8430417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898353673","doi":"10.1080/10543406.2018.1535503","title":"Randomized dose-escalation designs for drug combination cancer trials with immunotherapy","year":2018,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Institute of Cancer Research; National Institutes of Health; Institut National Du Cancer; European Commission; National Institute for Health and Care Research","keywords":"Medicine; Randomization; Clinical trial; Randomized controlled trial; Therapeutic index; Oncology; Drug; Internal medicine; Pharmacology","authors":[{"name":"Pavel Mozgunov","is_ca":false},{"name":"Thomas Jaki","is_ca":false},{"name":"Xavier Paolettí","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6868558580038793,"gpt":0.63370480115248,"spread":0.05315105685139931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1542386,0.005252013,0.006997901,0.002876193,0.0009786848,0.002934819,0.004573172,0.004669455,0.007496561],"category_scores_gemma":[0.1625516,0.002936385,0.005092287,0.001975085,0.005069112,0.004140351,0.004097656,0.007880598,0.001064633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004695684,"about_ca_system_score_gemma":0.004611277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008763987,"about_ca_topic_score_gemma":0.0006892873,"domain_scores_codex":[0.7189209,0.2637385,0.003467696,0.006621866,0.005408404,0.001842602],"domain_scores_gemma":[0.8481841,0.1191507,0.01476524,0.0135432,0.002932899,0.001423873],"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":[0.04405795,0.003042478,0.003744739,0.002648253,0.003675694,0.0003973043,0.0007983129,0.6030039,0.004434964,0.2296424,0.00301115,0.1015429],"study_design_scores_gemma":[0.01858656,0.01156787,0.0009423469,0.0002941877,0.0009706991,0.0001370884,0.00006167953,0.8400418,0.002497454,0.1189858,0.00570917,0.0002054044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04755121,0.00187121,0.9222547,0.0008832758,0.000621212,0.02321937,0.0005536483,0.0007216859,0.002323689],"genre_scores_gemma":[0.3286937,0.001090842,0.6109826,0.0009736066,0.0002363443,0.05452967,0.0005866542,0.0001115512,0.002794986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1542386,"threshold_uncertainty_score":0.8157012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050485463","doi":"10.1080/10543401003618876","title":"Residuals and Outliers in Replicate Design Crossover Studies","year":2010,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Outlier; Replicate; Crossover; Bioequivalence; Statistics; Computer science; Residual; Identification (biology); Econometrics; Data mining; Mathematics; Artificial intelligence; Algorithm; Bioinformatics","authors":[{"name":"Robert Schall","is_ca":false},{"name":"László Endrényi","is_ca":true},{"name":"Arne Ring","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.409312864440003,"gpt":0.590393232651865,"spread":0.1810803682118621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04744896,0.0006982906,0.001454064,0.00234697,0.0004425084,0.001215677,0.001538113,0.001944764,0.001173934],"category_scores_gemma":[0.1714023,0.0005292936,0.001798027,0.001798753,0.002122383,0.001118638,0.001015072,0.001691462,0.000358991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007653612,"about_ca_system_score_gemma":0.0006034111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007251785,"about_ca_topic_score_gemma":0.0006558079,"domain_scores_codex":[0.9513265,0.03323552,0.002822796,0.003449375,0.008674785,0.0004909192],"domain_scores_gemma":[0.8537006,0.1132854,0.01482921,0.0136232,0.004071948,0.0004896406],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01304554,0.001024268,0.1058178,0.001945008,0.001332566,0.001445006,0.002667007,0.1199672,0.04456188,0.07950045,0.00468976,0.6240036],"study_design_scores_gemma":[0.001160446,0.01310525,0.2146252,0.000441972,0.001081309,0.002830176,0.0008980504,0.4526454,0.07069178,0.2186956,0.02299661,0.0008281634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1109874,0.0009545893,0.8843285,0.0002599334,0.0001403118,0.0003364319,0.0002759772,0.001133558,0.001583345],"genre_scores_gemma":[0.6311166,0.0003355872,0.3653496,0.0002462375,0.0001002012,0.0006611657,0.0006642067,0.0003710337,0.001155455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9525511,"threshold_uncertainty_score":0.2509371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986404537","doi":"10.1080/10543406.2010.509527","title":"The Log-Burr XII Regression Model for Grouped Survival Data","year":2011,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Victoria","keywords":"Statistics; Jackknife resampling; Grouped data; Mathematics; Estimator; Data set; Regression analysis; Regression; Monte Carlo method; Econometrics","authors":[{"name":"Elizabeth M. Hashimoto","is_ca":false},{"name":"Edwin M. M. Ortega","is_ca":false},{"name":"Gauss M. Cordeiro","is_ca":false},{"name":"Maurício L. Barreto","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.510855619363377,"gpt":0.4953290626160361,"spread":0.01552655674734088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02499296,0.001560789,0.002514353,0.002513275,0.0008073305,0.002175605,0.00512687,0.002738701,0.007701322],"category_scores_gemma":[0.05391022,0.0006277873,0.002428838,0.003271287,0.001675199,0.002958435,0.001825077,0.00352401,0.003146824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182238,"about_ca_system_score_gemma":0.001842065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004642018,"about_ca_topic_score_gemma":0.002773009,"domain_scores_codex":[0.9882483,0.007383391,0.0003906628,0.001883329,0.001474497,0.0006197261],"domain_scores_gemma":[0.9715958,0.0201465,0.003852486,0.00232864,0.001669378,0.0004072024],"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":[0.0006588821,0.0002344139,0.02285824,0.0006113959,0.0005886281,0.001411823,0.001229228,0.5433255,0.002164696,0.3280211,0.01008058,0.08881549],"study_design_scores_gemma":[0.00005889833,0.0002694005,0.003300911,0.00008153861,0.0001079914,0.0003598424,0.0001232669,0.9140562,0.0004002111,0.076094,0.005087333,0.0000603241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03775357,0.0008187176,0.9548795,0.001063699,0.0001302984,0.0004262502,0.001245557,0.00065092,0.003031436],"genre_scores_gemma":[0.6837053,0.002124662,0.2771848,0.0007819656,0.0003237076,0.003276728,0.003954575,0.0004445754,0.02820358],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02499296,"threshold_uncertainty_score":0.132177,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017659064","doi":"10.1080/10543406.2013.813517","title":"Bayesian Inference for Skew-Normal Mixture Models With Left-Censoring","year":2013,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute of Mental Health; University of Windsor","keywords":"Censoring (clinical trials); Skewness; Mathematics; Statistics; Markov chain Monte Carlo; Skew; Tobit model; Bayesian probability; Econometrics; Computer science","authors":[{"name":"Getachew Dagne","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03471245508587097,"gpt":0.3240361044439541,"spread":0.2893236493580832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02535502,0.001419764,0.00279742,0.00302884,0.001049227,0.002647037,0.003027068,0.00217295,0.002382419],"category_scores_gemma":[0.07108068,0.001692524,0.002641674,0.002943708,0.002120545,0.00323366,0.002149018,0.003197818,0.0006935046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795917,"about_ca_system_score_gemma":0.001556136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055245,"about_ca_topic_score_gemma":0.01099887,"domain_scores_codex":[0.9900472,0.00722853,0.0004341227,0.001226254,0.0007312583,0.0003326792],"domain_scores_gemma":[0.9364223,0.05687572,0.002526708,0.002266728,0.001520221,0.0003882319],"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":[0.0005076099,0.000169975,0.01603346,0.000361472,0.0005965958,0.0003546115,0.0006831767,0.6645915,0.001275596,0.2104998,0.002460267,0.1024659],"study_design_scores_gemma":[0.00004342104,0.00002599675,0.001293053,0.00003932604,0.00005768851,0.00006390763,0.00003459247,0.9173312,0.0002401567,0.0801884,0.0006492796,0.00003291434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02683829,0.0006632516,0.9711174,0.0002997568,0.00003216184,0.0000787809,0.0002493199,0.0002690926,0.00045184],"genre_scores_gemma":[0.5310014,0.001874812,0.4605776,0.000339382,0.0002217799,0.0007511345,0.001849324,0.0002096883,0.003174826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02535502,"threshold_uncertainty_score":0.1340918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2344389180","doi":"10.1080/10543406.2018.1489401","title":"Stochastic optimization of adaptive enrichment designs for two subpopulations","year":2018,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute on Aging; U.S. Food and Drug Administration; National Health Research Institutes; Patient-Centered Outcomes Research Institute; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; University of Southern California; National Institute for Health and Care Research; Northern California Institute for Research and Education; Foundation for the National Institutes of Health","keywords":"Interim; Simulated annealing; Adaptive design; Computer science; Computation; Mathematical optimization; Context (archaeology); Sequential analysis; Interim analysis; Decision rule; Mathematics; Statistics; Algorithm; Artificial intelligence; Randomized controlled trial; Clinical trial; Medicine","authors":[{"name":"Aaron Fisher","is_ca":false},{"name":"Michael Rosenblum","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.673947311574328,"gpt":0.6092235239341564,"spread":0.06472378764017162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01578295,0.001204601,0.002064291,0.0009824815,0.000475845,0.0009141733,0.001466418,0.001402631,0.003420734],"category_scores_gemma":[0.03580226,0.0008289693,0.001307803,0.0006368947,0.001744697,0.001160558,0.001981936,0.001886755,0.0004730199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008970008,"about_ca_system_score_gemma":0.001836788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000619636,"about_ca_topic_score_gemma":0.0005876116,"domain_scores_codex":[0.9902859,0.007813782,0.0002727576,0.0008024303,0.0005384437,0.0002865919],"domain_scores_gemma":[0.9784871,0.01730905,0.0013944,0.001309759,0.001088657,0.0004110959],"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":[0.001951252,0.000317397,0.00216958,0.0003381642,0.0003271719,0.0001848435,0.0002405628,0.7044303,0.00478123,0.1966013,0.001540374,0.08711773],"study_design_scores_gemma":[0.0005682685,0.0009991778,0.0005743007,0.00005684526,0.00008798011,0.000042305,0.00002519983,0.9013088,0.002097277,0.09176809,0.002427492,0.00004423428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01880292,0.0001248762,0.9795592,0.0001877142,0.00002951639,0.0003284946,0.0000529614,0.0001121601,0.0008020648],"genre_scores_gemma":[0.3070219,0.0002026364,0.6861255,0.0003443758,0.00004864568,0.002872789,0.0001798828,0.00007916197,0.003125053],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01578295,"threshold_uncertainty_score":0.08346921,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2024918973","doi":"10.1081/bip-100102502","title":"ON THE TIMING OF A FUTILITY ANALYSIS IN CLINICAL TRIALS","year":2000,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Women's Health Research Institute","funders":"Virginia Commonwealth University","keywords":"Interim; Interim analysis; Clinical trial; Medicine; Early stopping; Medical physics; Statistics; Actuarial science; Computer science; Mathematics; Internal medicine; Law; Artificial intelligence; Political science","authors":[{"name":"Allan Pallay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.861676975374754,"gpt":0.7038348345033432,"spread":0.1578421408714108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3209023,0.001508893,0.003006616,0.003310657,0.001496924,0.006126879,0.002456051,0.004580962,0.007267513],"category_scores_gemma":[0.7124395,0.001354061,0.002684105,0.002891868,0.005008395,0.01017592,0.003190632,0.009351645,0.001206174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00400288,"about_ca_system_score_gemma":0.005497163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010545,"about_ca_topic_score_gemma":0.0008121754,"domain_scores_codex":[0.7125582,0.2519294,0.007953035,0.007025114,0.01841301,0.002121241],"domain_scores_gemma":[0.1373023,0.8150687,0.0280595,0.01006473,0.007535723,0.001969134],"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":[0.01403469,0.0003907132,0.04306917,0.001990339,0.00167469,0.001164031,0.003319604,0.07311954,0.002309728,0.5432007,0.007998929,0.3077278],"study_design_scores_gemma":[0.001633727,0.005440756,0.02115287,0.002133643,0.00120079,0.001522257,0.0007823854,0.1980372,0.004956286,0.7457751,0.01699584,0.0003691218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07606829,0.01243527,0.8683916,0.01971805,0.001556334,0.001508694,0.0003261903,0.0006102126,0.01938534],"genre_scores_gemma":[0.7591336,0.003228297,0.2290384,0.003294003,0.0008053586,0.001725279,0.0001836694,0.000285279,0.002306322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6790977,"threshold_uncertainty_score":0.8374484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2147040082","doi":"10.1080/10543400500406553","title":"Quasi-Empirical Bayes Methodology for Improving Meta-Analysis","year":2006,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Carleton University","funders":"University of Alberta","keywords":"Meta-analysis; Bayes' theorem; Computer science; Outlier; Odds; Statistics; Odds ratio; Econometrics; Mathematics; Bayesian probability; Medicine; Logistic regression","authors":[{"name":"A. K. Md. Ehsanes Saleh","is_ca":true},{"name":"Khatab M. Hassanein","is_ca":false},{"name":"Ruth S. Hassanein","is_ca":false},{"name":"Hyun-Hak Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.9277533342042015,"gpt":0.6544762144967344,"spread":0.273277119707467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2837769,0.00293435,0.01037749,0.01204748,0.001439457,0.004772871,0.005776086,0.004239377,0.00554304],"category_scores_gemma":[0.480315,0.002999437,0.01009886,0.007351799,0.002262797,0.004669921,0.003476263,0.005790573,0.001034404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003220877,"about_ca_system_score_gemma":0.00681166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003205064,"about_ca_topic_score_gemma":0.002947449,"domain_scores_codex":[0.5916697,0.3829704,0.007395909,0.005809746,0.01171466,0.0004395528],"domain_scores_gemma":[0.4889483,0.4759372,0.007463082,0.01675621,0.01019069,0.000704604],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001883673,0.0003268384,0.004733534,0.01942671,0.04091164,0.000944815,0.001280796,0.2038069,0.001849451,0.2231519,0.01349345,0.4881903],"study_design_scores_gemma":[0.001321161,0.0008200699,0.001317419,0.003356878,0.008738412,0.0003514278,0.0001343079,0.521015,0.001079964,0.4438891,0.01776579,0.0002104297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007468822,0.004459595,0.9925517,0.0006365343,0.0003191063,0.0004857704,0.0001130837,0.0003063058,0.000380905],"genre_scores_gemma":[0.02912517,0.001729781,0.9653124,0.0006281211,0.0002750359,0.002315769,0.000161498,0.000162325,0.0002899677],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7162231,"threshold_uncertainty_score":0.8832306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982237827","doi":"10.1080/10543406.2014.948961","title":"Scientific Factors and Current Issues in Biosimilar Studies","year":2014,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Interchangeability; Comparability; Biosimilar; Risk analysis (engineering); Bioequivalence; Computer science; Selection (genetic algorithm); Quality (philosophy); Management science; Reliability engineering; Biochemical engineering; Medicine; Mathematics; Pharmacology; Engineering; Machine learning","authors":[{"name":"Shein‐Chung Chow","is_ca":false},{"name":"László Endrényi","is_ca":true},{"name":"Peter A. Lachenbruch","is_ca":false},{"name":"France Mentré","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1002988965490811,"gpt":0.4318734905208749,"spread":0.3315745939717938,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.5610845,0.001760271,0.00512449,0.008448251,0.002959169,0.01552354,0.007715438,0.01743539,0.004765478],"category_scores_gemma":[0.5744447,0.001693927,0.003871867,0.01266201,0.03083174,0.02717341,0.006385346,0.01448078,0.001672906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0108235,"about_ca_system_score_gemma":0.01829188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879688,"about_ca_topic_score_gemma":0.001591125,"domain_scores_codex":[0.4809856,0.388838,0.06526487,0.01430739,0.04856063,0.002043539],"domain_scores_gemma":[0.1420133,0.7944925,0.01753233,0.01150263,0.03181252,0.002646668],"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":[0.0009488325,0.000353511,0.003094928,0.02476808,0.0005803914,0.000358416,0.002170328,0.001751082,0.0003836497,0.3127807,0.03470388,0.6181062],"study_design_scores_gemma":[0.0005406652,0.001007128,0.004301359,0.04071569,0.0007006323,0.001025522,0.003068686,0.002420881,0.0008393708,0.663237,0.2819001,0.0002429118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001409936,0.7512687,0.01691486,0.2169943,0.008773877,0.0002553157,0.0001409706,0.00007202967,0.00417],"genre_scores_gemma":[0.07230704,0.6185044,0.08375923,0.136812,0.08399363,0.002303549,0.0003195802,0.0002063331,0.001794267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5610845,"threshold_uncertainty_score":0.541261,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161490610","doi":"10.1081/bip-120017730","title":"Using WinBUGS to Fit Nonlinear Mixed Models with an Application to Pharmacokinetic Modelling of Insulin Response to Glucose Challenge in Sheep Exposed Antenatally to Glucocorticoids","year":2003,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Birth, Development, and Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Health and Medical Research Council","keywords":"Insulin; Medicine; Pharmacokinetics; Fetus; Endocrinology; Diabetes mellitus; Internal medicine; Glucocorticoid; Bolus (digestion); Gibbs sampling; Physiology; Pregnancy; Biology; Bayesian probability; Mathematics; Statistics","authors":[{"name":"Lyle C. Gurrin","is_ca":false},{"name":"Timothy J. M. Moss","is_ca":false},{"name":"Deborah M. Sloboda","is_ca":false},{"name":"Martin L. Hazelton","is_ca":false},{"name":"John Challis","is_ca":true},{"name":"John P. Newnham","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1305553366404204,"gpt":0.3847617383459047,"spread":0.2542064017054844,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004122075,0.00140621,0.00169087,0.001211116,0.0006695983,0.001388018,0.001830463,0.002085437,0.004932503],"category_scores_gemma":[0.009889791,0.001586198,0.001987544,0.0006966097,0.000579862,0.0006551891,0.001328571,0.001992301,0.0007074215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009684155,"about_ca_system_score_gemma":0.002082536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03090521,"about_ca_topic_score_gemma":0.02754705,"domain_scores_codex":[0.9990089,0.0006611144,0.00006768468,0.00009575833,0.00009724424,0.00006928951],"domain_scores_gemma":[0.9927927,0.006398197,0.0002566407,0.00009319648,0.0003820443,0.00007725006],"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":[0.0002339501,0.0000762259,0.001841665,0.0001900327,0.0003184064,0.0001916538,0.0001562033,0.9732442,0.001196394,0.006831461,0.0006990337,0.01502077],"study_design_scores_gemma":[0.00001901126,0.00002524028,0.0001304403,0.000007450625,0.00002166004,0.00001731875,0.00001366918,0.9973963,0.0002263102,0.00135706,0.000775326,0.00001012702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03971191,0.0002902609,0.954969,0.0001694451,0.00005453607,0.0001899447,0.0005215002,0.003246838,0.0008466261],"genre_scores_gemma":[0.281285,0.0003610688,0.7112859,0.0001332045,0.00003843523,0.00154862,0.001090813,0.001236407,0.003020393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03090521,"threshold_uncertainty_score":0.06145066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317779738","doi":"10.1080/10543406.2022.2162067","title":"Reweighting estimators to extend the external validity of clinical trials: methodological considerations","year":2023,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Ontario","funders":"Eli Lilly and Company","keywords":"Inference; Estimator; External validity; Clinical trial; Internal validity; Population; Randomized controlled trial; Statistical inference; Computer science; Causal inference; Econometrics; Medicine; Machine learning; Artificial intelligence; Statistics; Mathematics; Pathology","authors":[{"name":"Eloise Kaizar","is_ca":false},{"name":"Chen‐Yen Lin","is_ca":true},{"name":"Douglas E. Faries","is_ca":false},{"name":"Joseph A. Johnston","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.9259994941309059,"gpt":0.7137800258193395,"spread":0.2122194683115664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5675748,0.003168007,0.005897288,0.00469432,0.00137982,0.006505657,0.006150592,0.005673455,0.002586038],"category_scores_gemma":[0.8146085,0.002335295,0.005371417,0.004806316,0.01051142,0.01165862,0.006493085,0.01560199,0.0007757077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002470563,"about_ca_system_score_gemma":0.006869003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002746172,"about_ca_topic_score_gemma":0.002163447,"domain_scores_codex":[0.4018355,0.5547772,0.0176249,0.007912038,0.01697101,0.0008793651],"domain_scores_gemma":[0.08664775,0.8442684,0.01221934,0.04689833,0.009477652,0.0004885761],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008357791,0.0001556825,0.008795092,0.003879803,0.005558184,0.0003641979,0.002497947,0.03513234,0.0008626094,0.5454556,0.006115428,0.3903473],"study_design_scores_gemma":[0.0006013844,0.0005626487,0.001840166,0.002128582,0.0008608639,0.0003522702,0.0001993589,0.07936826,0.001270465,0.8977008,0.01495811,0.0001570878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001041675,0.002595456,0.9907138,0.00417171,0.0002534176,0.000405221,0.0000446038,0.0001428965,0.0006311566],"genre_scores_gemma":[0.06102104,0.002461646,0.929405,0.002745241,0.0009060216,0.002527971,0.00008810806,0.0002025219,0.0006425182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4324252,"threshold_uncertainty_score":0.5332573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971567137","doi":"10.1080/10543406.2011.557792","title":"Robust Small-Sample Inference for Fixed Effects in General Gaussian Linear Models","year":2012,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Windsor","keywords":"Estimator; Sample size determination; Biometrics; Statistics; Mathematics; Covariance matrix; Covariance; Linear model; Computer science; Econometrics; Artificial intelligence","authors":[{"name":"Chunpeng Fan","is_ca":false},{"name":"Donghui Zhang","is_ca":false},{"name":"Cun‐Hui Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2166031109113867,"gpt":0.4400831249551017,"spread":0.2234800140437149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1083425,0.002087757,0.005712734,0.004034997,0.001595427,0.003539521,0.005627695,0.003211063,0.003523256],"category_scores_gemma":[0.3818702,0.002177968,0.004868974,0.003781281,0.005222196,0.004669517,0.003951441,0.005785946,0.001066825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002781522,"about_ca_system_score_gemma":0.004409209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008754247,"about_ca_topic_score_gemma":0.008120441,"domain_scores_codex":[0.9247043,0.06013262,0.002194397,0.007368974,0.004729751,0.000870016],"domain_scores_gemma":[0.6855916,0.2862995,0.00727631,0.01476933,0.005438684,0.0006246416],"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":[0.0006170784,0.0003257986,0.01146097,0.001604325,0.003430711,0.0007175466,0.001341921,0.307095,0.002541113,0.3525478,0.006186711,0.3121312],"study_design_scores_gemma":[0.0001958927,0.000222926,0.00247578,0.0002771492,0.000394129,0.000162083,0.0001220818,0.6752006,0.001934462,0.3152089,0.003686712,0.0001191674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0017301,0.0002111414,0.9973958,0.0001024547,0.00004222252,0.0000876874,0.00004903595,0.000204896,0.0001768291],"genre_scores_gemma":[0.1257708,0.0008926039,0.8692974,0.0004045992,0.0002369892,0.00159132,0.000517988,0.0002940944,0.0009941363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1083425,"threshold_uncertainty_score":0.5729766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995160040","doi":"10.1080/10543406.2014.901338","title":"Statistical Methods for Active Pharmacovigilance, With Applications to Diabetes Drugs","year":2014,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pharmacovigilance; Polypharmacy; Medicine; Adverse effect; Drug reaction; Adverse drug reaction; Drug; Pharmacoepidemiology; Intensive care medicine; Pharmacology; Medical prescription","authors":[{"name":"Lan Zhuo","is_ca":true},{"name":"Paul J. Farrell","is_ca":true},{"name":"Douglas McNair","is_ca":false},{"name":"Daniel Krewski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09100574465620725,"gpt":0.5203279639654611,"spread":0.4293222193092538,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1193573,0.002356635,0.003293333,0.006865901,0.001529006,0.003085924,0.003765255,0.002846332,0.008653058],"category_scores_gemma":[0.3770956,0.001513861,0.004932482,0.00853362,0.004289047,0.003347056,0.003491201,0.008493219,0.001932604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509846,"about_ca_system_score_gemma":0.005201146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711787,"about_ca_topic_score_gemma":0.002153877,"domain_scores_codex":[0.830196,0.1472478,0.00713335,0.004663728,0.01013201,0.0006270435],"domain_scores_gemma":[0.396535,0.5561126,0.01322147,0.02448073,0.008462613,0.001187463],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001040556,0.0005398549,0.0228019,0.004134097,0.006910657,0.0009097295,0.001595549,0.03224139,0.002088198,0.3519184,0.06309802,0.5127217],"study_design_scores_gemma":[0.0006775978,0.001038065,0.01029948,0.00129651,0.0009289059,0.001085977,0.0004574222,0.3302363,0.00176349,0.5770584,0.07490099,0.000256928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001072905,0.0007369345,0.9943112,0.0009107711,0.0003241303,0.0005393397,0.0006079603,0.001087711,0.0004090621],"genre_scores_gemma":[0.02965303,0.0006707048,0.9609352,0.0007310339,0.00077337,0.005349725,0.0006514711,0.0004976724,0.000737807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8806427,"threshold_uncertainty_score":0.6312292,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1500993271","doi":"10.1080/10543406.2012.701589","title":"A Review of: “<b> <i>Econometric Analysis</i> </b>, Seventh Edition, by W. H. Greene”","year":2012,"lang":"en","type":"review","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Econometric model; Econometric analysis; Library science; Economics; Statistics; Mathematical economics; Computer science; Mathematics","authors":[{"name":"Jeffrey S. Hoch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2745840886976001,"gpt":0.5258364269402303,"spread":0.2512523382426302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001758917,0.001013458,0.00142602,0.004994245,0.0005434441,0.002509635,0.001096924,0.00154568,0.02246695],"category_scores_gemma":[0.007681237,0.0004601879,0.0006569555,0.009544445,0.0009759287,0.003484207,0.0009339502,0.002994145,0.02678348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458589,"about_ca_system_score_gemma":0.003944305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004020259,"about_ca_topic_score_gemma":0.01032936,"domain_scores_codex":[0.9989385,0.0001597849,0.0001130099,0.0001268298,0.0006110701,0.00005081397],"domain_scores_gemma":[0.9961659,0.001525625,0.0003151968,0.00008591056,0.001670855,0.0002365556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000129815,0.00001829826,0.00008949131,0.00398665,0.00002004107,0.00002872566,0.00004207001,0.00009476699,0.0001778295,0.002846705,0.7096625,0.28302],"study_design_scores_gemma":[0.000002126115,0.000009071583,0.0003229989,0.001560271,0.0000103641,0.0001405,0.00002591306,0.00001883821,0.00004278279,0.0009366578,0.9969236,0.000006892259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004974859,0.9830694,0.0006514313,0.005791743,0.004291363,0.00001027751,0.0001831546,0.0000375579,0.005915205],"genre_scores_gemma":[0.0006172264,0.9762189,0.0009105614,0.004248464,0.003262384,0.00002499102,0.0003266016,0.00003756712,0.01435326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02246695,"threshold_uncertainty_score":0.07515949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992918041","doi":"10.1080/10543406.2011.610027","title":"A Sieve Bootstrap Two-Sample<i>t</i>-Test Under Serial Correlation","year":2011,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"University of California, Irvine","keywords":"Sieve (category theory); Statistic; Correlation; Test statistic; Mathematics; Autocorrelation; Statistics; Proxy (statistics); Algorithm; Computer science; Statistical hypothesis testing; Combinatorics","authors":[{"name":"Bei Chen","is_ca":true},{"name":"Yulia R. Gel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3202250910805224,"gpt":0.4465358241548185,"spread":0.126310733074296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02806825,0.001096439,0.003322812,0.003508671,0.001648742,0.001650692,0.003769648,0.003626998,0.006258896],"category_scores_gemma":[0.1623786,0.0007926479,0.002556929,0.003140584,0.003831839,0.002626134,0.0022307,0.003707702,0.001330444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006845623,"about_ca_system_score_gemma":0.002305578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000790544,"about_ca_topic_score_gemma":0.000792387,"domain_scores_codex":[0.9823267,0.01135004,0.0008503658,0.002522243,0.002517889,0.0004327528],"domain_scores_gemma":[0.872915,0.1077313,0.003406215,0.009992016,0.004783678,0.001171787],"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":[0.001817735,0.0007319507,0.03332932,0.001099642,0.002942465,0.003182207,0.0009655344,0.1231205,0.01483044,0.1861688,0.01194099,0.6198704],"study_design_scores_gemma":[0.0003021882,0.001162644,0.009954503,0.0002175668,0.0003288318,0.001919076,0.0002499293,0.8276846,0.007907641,0.142433,0.007683574,0.000156395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01344118,0.0001193929,0.9846694,0.0001814566,0.0001044928,0.0001607329,0.0001129866,0.0005085805,0.0007016802],"genre_scores_gemma":[0.2533627,0.0002614694,0.7419766,0.0004081852,0.0002784335,0.001163126,0.0007166383,0.0002871556,0.001545793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02806825,"threshold_uncertainty_score":0.1484408,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117145379","doi":"10.1080/10543400902802508","title":"A Review of: “<i>An Introduction to Generalized Linear Models</i>, Third Edition, by A. J. Dobson and A. G. Barnett”","year":2009,"lang":"en","type":"review","venue":"Journal of Biopharmaceutical Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Section (typography); Linear regression; Generalized linear model; Mathematics; Applied mathematics; Computer science; Econometrics; Statistics; Calculus (dental); Mathematical economics; Medicine","authors":[{"name":"Erica E. M. Moodie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1733883900567141,"gpt":0.502449630031695,"spread":0.3290612399749809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001363579,0.001228268,0.001282814,0.003600179,0.0004741715,0.001758582,0.001152882,0.001441554,0.01794774],"category_scores_gemma":[0.004964869,0.0005464478,0.0007054893,0.005983475,0.0009300192,0.003321617,0.0008830164,0.003188481,0.02462891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023616,"about_ca_system_score_gemma":0.002424558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465811,"about_ca_topic_score_gemma":0.005947276,"domain_scores_codex":[0.9992437,0.0001399522,0.00007807271,0.0001063992,0.0003978875,0.0000340607],"domain_scores_gemma":[0.9976957,0.001248941,0.0001867587,0.00005042491,0.000706881,0.0001113033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001255996,0.00002269106,0.00009095026,0.003139378,0.00002359596,0.00004500051,0.00005016791,0.000168884,0.0002560565,0.006177291,0.7417732,0.2482401],"study_design_scores_gemma":[0.000002189058,0.00001439739,0.0002408386,0.0008839062,0.00001029694,0.0002599231,0.00002168786,0.00005259815,0.00007117839,0.002175291,0.9962575,0.00001018614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009260413,0.970772,0.003035209,0.007969975,0.008485642,0.00002137609,0.0003126072,0.00009742758,0.009213062],"genre_scores_gemma":[0.001026271,0.9605526,0.002918279,0.007436937,0.00623411,0.00004864529,0.0005462759,0.00007061882,0.02116621],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01794774,"threshold_uncertainty_score":0.06004113,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315928439","doi":"10.1080/10543406.2022.2162071","title":"Advancing drug development in pediatric oncology, a focus on cancer biology and targeted therapies: iMATRIX platform","year":2023,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Roche (Canada)","funders":"Genentech; F. Hoffmann-La Roche; Roche","keywords":"Drug development; Clinical trial; Medicine; Context (archaeology); Pediatric oncology; Cancer; Drug; Medical physics; Oncology; Intensive care medicine; Pharmacology; Internal medicine; Biology","authors":[{"name":"Marianne Uguen","is_ca":false},{"name":"Magalie Hilton","is_ca":false},{"name":"Mufiza Farid‐Kapadia","is_ca":true},{"name":"Asim Datye","is_ca":true},{"name":"Saibah Chohan","is_ca":true},{"name":"Claudia Carlucci","is_ca":false},{"name":"Mark Dixon","is_ca":false},{"name":"Markus C. Elze","is_ca":false},{"name":"Yingjia Chen","is_ca":false},{"name":"Kit Wun Kathy Cheung","is_ca":false},{"name":"Rucha Sane","is_ca":false},{"name":"Maoxia Zheng","is_ca":false},{"name":"YounJeong Choi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04395540332700267,"gpt":0.4278221588521561,"spread":0.3838667555251534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04586184,0.0007519835,0.00162029,0.00228632,0.0005900962,0.00546516,0.001139114,0.001406721,0.009757602],"category_scores_gemma":[0.03989192,0.0004693439,0.00114739,0.002675894,0.002082542,0.005557602,0.003930558,0.004863608,0.002369987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712189,"about_ca_system_score_gemma":0.006712168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006215406,"about_ca_topic_score_gemma":0.001094186,"domain_scores_codex":[0.9825865,0.01270471,0.001133389,0.001134889,0.002114974,0.0003256342],"domain_scores_gemma":[0.9412278,0.0364769,0.00828353,0.004623534,0.006251481,0.00313673],"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":[0.002590965,0.0003939327,0.009526318,0.003931243,0.0004474264,0.0001496459,0.000323628,0.002501756,0.004221392,0.075541,0.06752666,0.832846],"study_design_scores_gemma":[0.001554292,0.005201342,0.01661512,0.004855893,0.0008106572,0.001382275,0.0003085747,0.004672281,0.009781956,0.08074784,0.8738833,0.0001864412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.03963293,0.4767323,0.2180922,0.159569,0.01294844,0.004692009,0.007210955,0.002167956,0.0789542],"genre_scores_gemma":[0.1784073,0.2757133,0.4332796,0.06371661,0.01989738,0.007356352,0.004308427,0.00119804,0.01612305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04586184,"threshold_uncertainty_score":0.2425435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409713431","doi":"10.1080/10543406.2025.2489292","title":"An improved biomarker-guided adaptive patient enrichment design for oncology trials","year":2025,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Amgen (Canada)","funders":"","keywords":"Biomarker; Adaptive design; Medicine; Oncology; Precision oncology; Internal medicine; Medical physics; Clinical trial; Cancer; Biology","authors":[{"name":"Zhenwei Zhou","is_ca":true},{"name":"Zhaoyang Teng","is_ca":false},{"name":"Jian Zhu","is_ca":false},{"name":"Rui Tang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7704626813265696,"gpt":0.6589292886360004,"spread":0.1115333926905692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02980667,0.001288517,0.001798345,0.001005931,0.0004745762,0.001175142,0.002114818,0.001969886,0.00343805],"category_scores_gemma":[0.05339644,0.0007503937,0.001186903,0.0008957978,0.001656278,0.001503278,0.002240197,0.002418404,0.00068599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008449129,"about_ca_system_score_gemma":0.002487633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003394571,"about_ca_topic_score_gemma":0.0003508001,"domain_scores_codex":[0.9709382,0.02495046,0.0007868863,0.001605171,0.001283989,0.0004354285],"domain_scores_gemma":[0.9674292,0.02432262,0.002649221,0.002489046,0.002171,0.0009389551],"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":[0.007721733,0.00104442,0.0100725,0.0009184619,0.0006424742,0.0004963977,0.0006490201,0.431664,0.01432998,0.1500065,0.003752962,0.3787014],"study_design_scores_gemma":[0.002185561,0.004104723,0.002532986,0.0001547273,0.000277584,0.0002394444,0.00005597154,0.8520249,0.007107807,0.1240853,0.007109204,0.0001217978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01582284,0.0002244801,0.9814603,0.0004505542,0.00006123457,0.0009360886,0.00009993813,0.0002300536,0.0007144716],"genre_scores_gemma":[0.3648908,0.0002713154,0.627582,0.0009316378,0.00009388578,0.004258183,0.0002342357,0.00006650545,0.001671558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02980667,"threshold_uncertainty_score":0.1576346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013774051","doi":"10.1080/10543406.2014.920854","title":"A Step-Up Test Procedure to Find the Minimum Effective Dose","year":2014,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Estimator; Mathematics; Statistics; Null hypothesis; Monotone polygon; Test (biology); Sequence (biology); Null (SQL); False discovery rate; Computer science; Data mining","authors":[{"name":"Weizhen Wang","is_ca":false},{"name":"Jianan Peng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1070493851090704,"gpt":0.4854068352479506,"spread":0.3783574501388802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01203122,0.001102073,0.001938638,0.002536885,0.0007677309,0.0008309979,0.002730307,0.001563849,0.02114478],"category_scores_gemma":[0.05520436,0.0005796244,0.001676629,0.001617625,0.001291754,0.001100624,0.001723594,0.002995099,0.002857849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006606734,"about_ca_system_score_gemma":0.002407336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006700576,"about_ca_topic_score_gemma":0.0008465935,"domain_scores_codex":[0.9926506,0.004373318,0.0003457755,0.0009204979,0.001526348,0.0001834422],"domain_scores_gemma":[0.9743626,0.02080887,0.0007843596,0.001694451,0.002034586,0.0003152021],"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":[0.001956709,0.0007964669,0.004363034,0.001104484,0.0005795694,0.0004075669,0.0002923374,0.03421451,0.02654316,0.08428179,0.009412567,0.8360478],"study_design_scores_gemma":[0.00140824,0.007957552,0.009846935,0.0003575557,0.0006760458,0.001493276,0.000271741,0.7132726,0.08093467,0.1501289,0.03327174,0.0003806637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003766227,0.00008371653,0.9939083,0.00005940939,0.00003856868,0.0009213237,0.0001657064,0.0004820559,0.0005745528],"genre_scores_gemma":[0.0303562,0.00006668083,0.9661104,0.00009805927,0.00002703559,0.002048926,0.0002420818,0.0001138967,0.0009367666],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02114478,"threshold_uncertainty_score":0.07073635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414759049","doi":"10.1080/10543406.2025.2547588","title":"Implementation of the ICH E9 (R1) addendum in vaccine efficacy studies: the hypothetical and principal stratum strategies","year":2025,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Hepatitis C virus research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fleming College","funders":"GlaxoSmithKline","keywords":"Addendum; Principal (computer security); Protocol (science); Leverage (statistics); Viewpoints; Clinical efficacy; Pooling","authors":[{"name":"Silvia Noirjean","is_ca":false},{"name":"Daniele Bottigliengo","is_ca":false},{"name":"Elisa Cinconze","is_ca":false},{"name":"Ali Charkhi","is_ca":true},{"name":"Toufik Zahaf","is_ca":true},{"name":"Fan Li","is_ca":false},{"name":"Andrea Callegaro","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07210980426235553,"gpt":0.486845419732684,"spread":0.4147356154703285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.351398,0.002025331,0.00321158,0.002332702,0.0008679538,0.004786741,0.005397761,0.009677631,0.006285879],"category_scores_gemma":[0.4675206,0.002033224,0.005173051,0.001682742,0.004650162,0.004820192,0.007811146,0.009324542,0.00219564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002599397,"about_ca_system_score_gemma":0.0085581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431758,"about_ca_topic_score_gemma":0.001396093,"domain_scores_codex":[0.5500998,0.4021421,0.01610093,0.00708895,0.02246408,0.002104082],"domain_scores_gemma":[0.5245133,0.3987928,0.01909482,0.04027448,0.01541666,0.001908032],"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":[0.008017509,0.0005878204,0.006442834,0.003110495,0.00213094,0.0005745469,0.00222748,0.02003543,0.001935551,0.5373188,0.01289786,0.4047206],"study_design_scores_gemma":[0.007403563,0.01261164,0.01205954,0.004974764,0.003703925,0.001319044,0.0005635928,0.1188167,0.015303,0.6908278,0.1316747,0.0007416619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01408768,0.001777845,0.9411781,0.01650326,0.0008026339,0.008974511,0.0008126397,0.0004816995,0.0153817],"genre_scores_gemma":[0.1406956,0.001361443,0.8281621,0.009810222,0.0007495031,0.01500427,0.000325237,0.0001327851,0.003758872],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.648602,"threshold_uncertainty_score":0.7998418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2564798600","doi":"10.1080/10543406.2017.1272396","title":"Guest editor’s note: Special issue on biosimilarity assessment","year":2016,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Biopharmaceutical; Management science; Computer science; Economics","authors":[{"name":"Victoria Yu-Wei Chang","is_ca":false},{"name":"László Endrényi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03099834911760174,"gpt":0.3864592903826578,"spread":0.3554609412650561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008014863,0.001940098,0.002956324,0.002115555,0.00204082,0.006414555,0.003344076,0.01584179,0.01724519],"category_scores_gemma":[0.04246457,0.001126103,0.002381714,0.001449436,0.001613217,0.003708849,0.001750896,0.01911671,0.01665292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002132019,"about_ca_system_score_gemma":0.004560928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218707,"about_ca_topic_score_gemma":0.004533318,"domain_scores_codex":[0.9935427,0.0008203248,0.001060489,0.0009196441,0.003158659,0.0004981553],"domain_scores_gemma":[0.9416397,0.01051566,0.004195487,0.001510935,0.03547139,0.006666815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002188786,0.00000858942,0.00006286992,0.00004916565,0.00000497347,0.00007348606,0.00000442574,0.00001306876,0.00006269778,0.00006845108,0.9963851,0.003245343],"study_design_scores_gemma":[0.00005418448,0.00004523662,0.001037473,0.0002607603,0.00003593583,0.0005438151,0.00006214124,0.0003859945,0.0004240367,0.0006941794,0.9964143,0.00004188006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008842305,0.001834405,0.0002269689,0.09582102,0.9004247,0.00002101432,0.000109296,0.00009514605,0.00137915],"genre_scores_gemma":[0.001288763,0.00191968,0.0003373116,0.08902771,0.8971915,0.0000343041,0.00008419873,0.00009533818,0.01002111],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01724519,"threshold_uncertainty_score":0.05769086,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409922211","doi":"10.1080/10543406.2025.2489286","title":"Application of complete N-of-1 trial design in bioequivalence-biosimilar drug development","year":2025,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Biosimilar; Bioequivalence; Drug development; Medicine; Drug; Drug approval; Clinical trial; Pharmacology; Mathematics; Computer science; Pharmacokinetics; Internal medicine","authors":[{"name":"Y Liu","is_ca":true},{"name":"Wendy Lou","is_ca":true},{"name":"Shein‐Chung Chow","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5800350463900673,"gpt":0.5841014756488686,"spread":0.004066429258801296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1778557,0.002998805,0.006802598,0.002168196,0.00125796,0.002107892,0.003270852,0.004021578,0.007869269],"category_scores_gemma":[0.1850777,0.001417891,0.004178268,0.001645329,0.003878776,0.00361059,0.0025661,0.00337569,0.0008178408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816669,"about_ca_system_score_gemma":0.004859951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004430339,"about_ca_topic_score_gemma":0.0005080625,"domain_scores_codex":[0.7608473,0.2145465,0.005863885,0.008819516,0.008675229,0.001247695],"domain_scores_gemma":[0.8835132,0.08551704,0.009973012,0.01311974,0.00665876,0.001218309],"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":[0.08001426,0.005605417,0.007112355,0.0117029,0.008409217,0.0006022685,0.002767378,0.1479768,0.009770072,0.2566831,0.005753486,0.4636028],"study_design_scores_gemma":[0.04682168,0.08530196,0.00800112,0.001687598,0.004370051,0.0006523617,0.0003044995,0.4908262,0.01360264,0.3080873,0.0396495,0.0006950045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02964587,0.001790225,0.9391783,0.000451338,0.0007153266,0.02491762,0.0003774357,0.0003522601,0.002571687],"genre_scores_gemma":[0.1906217,0.0009830684,0.7379612,0.0008776482,0.0002828822,0.06752005,0.0003202457,0.000103462,0.0013298],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1778557,"threshold_uncertainty_score":0.9406019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102079769","doi":"10.1080/10543400500266718","title":"A Review of: “Statistical Evaluation of Measurement Errors: Design and Analysis of Reliability Studies”","year":2005,"lang":"en","type":"review","venue":"Journal of Biopharmaceutical Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Statistics; Computer science; Econometrics; Mathematics; Engineering","authors":[{"name":"Neil Klar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6917215557033245,"gpt":0.6258482545405649,"spread":0.06587330116275958,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09289785,0.002121545,0.008696561,0.0110733,0.0007643448,0.003495304,0.00508519,0.004895972,0.002603804],"category_scores_gemma":[0.2665404,0.002016664,0.003272986,0.0140182,0.004320024,0.004693882,0.002395091,0.00451046,0.001779612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003817719,"about_ca_system_score_gemma":0.01237345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003975722,"about_ca_topic_score_gemma":0.006847607,"domain_scores_codex":[0.9030619,0.0608829,0.01624859,0.003277117,0.01601638,0.0005131977],"domain_scores_gemma":[0.6071037,0.3401181,0.01424558,0.005430348,0.0323929,0.0007094495],"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":[0.0001876074,0.00007108269,0.0008851342,0.08401919,0.001361795,0.0000747552,0.000322384,0.0006943851,0.0004408503,0.008582514,0.07268377,0.8306766],"study_design_scores_gemma":[0.0003533461,0.0009785426,0.01270746,0.204901,0.006813632,0.00272341,0.0004859284,0.001901143,0.003204208,0.04632172,0.7190655,0.0005441651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001149769,0.9818909,0.01294836,0.003054469,0.001366629,0.000136156,0.0001260186,0.00003670583,0.0003257688],"genre_scores_gemma":[0.002674862,0.9625823,0.02885897,0.003239999,0.001678734,0.0004255259,0.0002146283,0.00006622106,0.0002587047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.09289785,"threshold_uncertainty_score":0.4912967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394792693","doi":"10.1080/10543406.2024.2341674","title":"Adaptive promising zone design for cancer immunotherapy with heterogeneous delayed treatment effect","year":2024,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Sample size determination; Interim analysis; Interim; Statistics; Test statistic; Rank (graph theory); Log-rank test; Cancer immunotherapy; Piecewise; Computer science; Mathematics; Statistic; Hazard ratio; Cancer; Immunotherapy; Medicine; Clinical trial; Proportional hazards model; Statistical hypothesis testing; Internal medicine; Confidence interval","authors":[{"name":"Bosheng Li","is_ca":true},{"name":"Fangrong Yan","is_ca":false},{"name":"Depeng Jiang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.481158986156795,"gpt":0.5727411869840863,"spread":0.09158220082729124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02518245,0.001023879,0.001686126,0.001050975,0.0004841923,0.001160391,0.002465356,0.001407484,0.005296878],"category_scores_gemma":[0.03643064,0.0006505251,0.001726687,0.0006740562,0.001996374,0.001487087,0.00197579,0.002281142,0.0004337268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009424656,"about_ca_system_score_gemma":0.001656412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003352367,"about_ca_topic_score_gemma":0.000325896,"domain_scores_codex":[0.9817241,0.0150611,0.0004868753,0.001282027,0.001114646,0.0003312345],"domain_scores_gemma":[0.9704654,0.02243468,0.002143533,0.002805844,0.001492807,0.000657722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01643181,0.001064511,0.009242015,0.001407072,0.001118235,0.0003578799,0.000803669,0.3108033,0.01997594,0.2214351,0.002749286,0.4146111],"study_design_scores_gemma":[0.004533978,0.01316084,0.005596188,0.0001734404,0.0008550808,0.0002868484,0.0001637726,0.7640469,0.01400376,0.1841667,0.01281008,0.0002023732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02842707,0.000372001,0.9688997,0.0002162485,0.00006900403,0.0009555576,0.00008947586,0.0002389263,0.0007318923],"genre_scores_gemma":[0.5035642,0.0002879492,0.489297,0.0003677872,0.00007663512,0.004598598,0.0001684884,0.00009157401,0.001547702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02518245,"threshold_uncertainty_score":0.1331791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406627004","doi":"10.1080/10543406.2025.2450321","title":"A Bayesian joint bent-cable model for longitudinal measurements and survival time with heterogeneous random-effects distributions","year":2025,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences; Shahid Beheshti University of Medical Sciences","keywords":"Bayesian probability; Bent molecular geometry; Random effects model; Statistics; Joint (building); Mathematics; Longitudinal data; Bayesian inference; Statistical physics; Computer science; Econometrics; Applied mathematics; Physics; Medicine; Structural engineering; Data mining; Engineering; Internal medicine","authors":[{"name":"Oludare Ariyo","is_ca":false},{"name":"Kehinde Olobatuyi","is_ca":true},{"name":"Taban Baghfalaki","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05385750502337398,"gpt":0.3361910556659461,"spread":0.2823335506425722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0156987,0.001908967,0.002931823,0.002899999,0.00104847,0.002486915,0.005597038,0.003211512,0.006124722],"category_scores_gemma":[0.02877704,0.001825662,0.003243097,0.003490972,0.002393659,0.003605752,0.002418867,0.003797915,0.001366365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345132,"about_ca_system_score_gemma":0.002411667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039858,"about_ca_topic_score_gemma":0.0176832,"domain_scores_codex":[0.9941304,0.003575478,0.0002291054,0.001154665,0.0005387539,0.000371575],"domain_scores_gemma":[0.9807867,0.01530737,0.00147448,0.0008711636,0.001149135,0.0004111688],"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":[0.0007791034,0.0001759941,0.0134371,0.000336671,0.000601023,0.0006215901,0.0009646454,0.6324572,0.001383709,0.2658628,0.00492436,0.07845581],"study_design_scores_gemma":[0.0001090067,0.0001192936,0.001830171,0.00006434071,0.0001598836,0.000138713,0.00005880707,0.9102358,0.0001974307,0.08443554,0.002583734,0.00006738644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01713425,0.0005704046,0.9793099,0.0006625302,0.00006239075,0.0001553343,0.0008106009,0.0003187293,0.0009758992],"genre_scores_gemma":[0.5092461,0.002702219,0.4587705,0.0009113444,0.0004767543,0.002765992,0.005292496,0.0003827042,0.01945192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02039858,"threshold_uncertainty_score":0.08302367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388732488","doi":"10.1080/10543406.2023.2275769","title":"A composite semiparametric homogeneity test for the distributions of multigroup interval-bounded longitudinal data","year":2023,"lang":"en","type":"article","venue":"Journal of Biopharmaceutical Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Science Foundation of Anhui Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Homogeneity (statistics); Statistics; Bounded function; Nonparametric statistics; Confidence interval; Parametric statistics; Statistic; Statistical hypothesis testing; Goodness of fit; Mathematical analysis","authors":[{"name":"Zhanfeng Wang","is_ca":false},{"name":"Wenmei Li","is_ca":false},{"name":"Hao Ding","is_ca":false},{"name":"Dongsheng Tu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3903017988760425,"gpt":0.4949863508334174,"spread":0.1046845519573748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03972947,0.0006852807,0.001919653,0.003780909,0.0008990741,0.001727237,0.002854761,0.001623087,0.004595741],"category_scores_gemma":[0.1751859,0.0003929635,0.002272839,0.00218429,0.00360449,0.002743898,0.003364025,0.002648655,0.0005880413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008420572,"about_ca_system_score_gemma":0.002004714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005517764,"about_ca_topic_score_gemma":0.000266259,"domain_scores_codex":[0.9667965,0.02260929,0.001327176,0.003304652,0.005242223,0.0007201372],"domain_scores_gemma":[0.784316,0.1827916,0.01157587,0.01352294,0.006076184,0.001717354],"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":[0.004093462,0.001197268,0.1498697,0.001405349,0.003086297,0.001911877,0.002572639,0.1064418,0.01738498,0.3037491,0.005698916,0.4025885],"study_design_scores_gemma":[0.0008295426,0.004718728,0.0869464,0.0002985294,0.00057516,0.001671512,0.001039519,0.6527336,0.01203931,0.2331941,0.00558748,0.0003661653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06841445,0.0001969124,0.9283621,0.0002638208,0.00005580526,0.000397296,0.0004051325,0.0004115252,0.001492911],"genre_scores_gemma":[0.8081169,0.0001452661,0.1874109,0.0002979993,0.0001718349,0.001973865,0.001088969,0.0001295262,0.0006647314],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03972947,"threshold_uncertainty_score":0.210112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}