{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":49,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":49,"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":"eea82c7c0fa1","filters":{"venue":"Statistical Applications in Genetics and Molecular Biology"}},"results":[{"id":"W1967827763","doi":"10.2202/1544-6115.1406","title":"Sparse Canonical Correlation Analysis with Application to Genomic Data Integration","year":2009,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":351,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Canonical correlation; Interpretability; Multivariate statistics; Correlation; Feature selection; Mathematics; Variable (mathematics); Multivariate analysis; Statistics; Data mining; Computer science; Artificial intelligence","authors":[{"name":"Elena Parkhomenko","is_ca":true},{"name":"David Tritchler","is_ca":true},{"name":"Joseph Beyene","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0116415277658399,"gpt":0.3172743099225427,"spread":0.3056327821567029,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006129766,0.001123187,0.001736009,0.002825363,0.0008944802,0.001730793,0.001154435,0.0009241579,0.001822803],"category_scores_gemma":[0.0269892,0.0007544024,0.001721168,0.005786106,0.001394288,0.001367244,0.002554005,0.001689794,0.0008017233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000698657,"about_ca_system_score_gemma":0.002797199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007458253,"about_ca_topic_score_gemma":0.007655779,"domain_scores_codex":[0.9951421,0.003032197,0.0001889262,0.0005377608,0.0009024663,0.0001965766],"domain_scores_gemma":[0.986686,0.008915103,0.0006846015,0.001316154,0.002135587,0.0002625903],"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":[0.0001779413,0.0001243162,0.005293696,0.0001879431,0.0002644072,0.0002916987,0.0003264921,0.5758081,0.003831551,0.06773324,0.005126552,0.340834],"study_design_scores_gemma":[0.00001228338,0.00001799154,0.00043413,0.000008736448,0.00001344768,0.00004670759,0.00001935429,0.9743692,0.0005878257,0.02317324,0.001299743,0.00001736589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004331824,0.0001278346,0.9946413,0.0001258227,0.00001497676,0.00003180453,0.00007714395,0.0003463601,0.0003028161],"genre_scores_gemma":[0.1231001,0.0004928758,0.8739049,0.0001495512,0.0001171051,0.0003754335,0.0008005368,0.0002240315,0.0008354917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007458253,"threshold_uncertainty_score":0.03241771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2408772186","doi":"10.1515/sagmb-2015-0057","title":"Using persistent homology and dynamical distances to analyze protein binding","year":2016,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; University of Alberta; Compute Canada","keywords":"Persistent homology; Persistence (discontinuity); Topological data analysis; Persistence length; Homology (biology); Barcode; Protein structure; Allosteric regulation","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01578656115812315,"gpt":0.3068789397904513,"spread":0.2910923786323281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009090707,0.0003047553,0.0005056833,0.003569133,0.0004186526,0.0008082608,0.0004844885,0.0006149834,0.001088544],"category_scores_gemma":[0.005411549,0.0001872558,0.0003756872,0.001650547,0.001126432,0.00165743,0.001275857,0.0005277417,0.000210252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007601246,"about_ca_system_score_gemma":0.0003313863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781374,"about_ca_topic_score_gemma":0.0009761996,"domain_scores_codex":[0.9994859,0.0001628234,0.00003351141,0.0001212462,0.0001330225,0.00006363511],"domain_scores_gemma":[0.9969556,0.001496216,0.0008417153,0.0002750305,0.0001366685,0.0002947271],"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":[0.0008173396,0.0002802216,0.06901796,0.0002962378,0.0004605738,0.0004568702,0.0006525907,0.6441825,0.05130532,0.1255878,0.001157803,0.1057846],"study_design_scores_gemma":[0.00001472227,0.0001467117,0.01291699,0.000006975376,0.00001586573,0.000159372,0.00008677971,0.925951,0.003616339,0.05636876,0.000673722,0.0000427239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8092643,0.0004385952,0.1878188,0.0001270929,0.00001376192,0.00003080988,0.0002731571,0.0003422846,0.00169115],"genre_scores_gemma":[0.9896894,0.00008428341,0.009666608,0.00001432245,0.0000133644,0.00002123457,0.0001985713,0.0000217439,0.0002905595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003569133,"threshold_uncertainty_score":0.005515099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992991918","doi":"10.2202/1544-6115.1322","title":"Calculating Confidence Intervals for Prediction Error in Microarray Classification Using Resampling","year":2008,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Confidence interval; Resampling; Statistics; Robust confidence intervals; Percentile; Confidence distribution; Coverage probability; Point estimation; Nominal level; CDF-based nonparametric confidence interval; Sample size determination; Mathematics; Credible interval; Inference; Computer science; Artificial intelligence","authors":[{"name":"Wenyu Jiang","is_ca":true},{"name":"Sudhir Varma","is_ca":false},{"name":"Richard Simon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05684221735365688,"gpt":0.3714190284896959,"spread":0.314576811136039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08362836,0.001417085,0.002038988,0.005504005,0.0008492982,0.002236356,0.003151893,0.002682122,0.001378835],"category_scores_gemma":[0.3823192,0.0007054869,0.001812586,0.002752847,0.002313685,0.002626777,0.002694801,0.003188818,0.0004763959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017115,"about_ca_system_score_gemma":0.001015815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153761,"about_ca_topic_score_gemma":0.001053236,"domain_scores_codex":[0.9529107,0.03122779,0.002745374,0.004031408,0.008381799,0.0007030065],"domain_scores_gemma":[0.5319703,0.4139149,0.01241037,0.02416083,0.01670238,0.0008412565],"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":[0.001494405,0.0002547589,0.0358531,0.001058809,0.001859573,0.0005014731,0.0009183807,0.4733013,0.007038925,0.07269143,0.004442998,0.4005848],"study_design_scores_gemma":[0.00009379521,0.0003340261,0.01099503,0.0003397896,0.0001770776,0.0004066573,0.0001395997,0.9263709,0.01003578,0.04847889,0.002479679,0.0001488087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02629804,0.001161393,0.9706464,0.0001179109,0.00007040668,0.0001167801,0.0001700385,0.0008514203,0.0005674711],"genre_scores_gemma":[0.4712835,0.000760128,0.5244493,0.0002290396,0.0001932535,0.0007839227,0.001355537,0.0004661353,0.0004791258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08362836,"threshold_uncertainty_score":0.4422743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2200221635","doi":"10.2202/1544-6115.1620","title":"A Robust Statistical Method to Detect Null Alleles in Microsatellite and SNP Datasets in Both Panmictic and Inbred Populations","year":2011,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"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":"Inbreeding; Biology; Panmixia; Null allele; Genetics; Allele; Null (SQL); Population; Microsatellite; Statistics; Mathematics; Computer science; Data mining; Gene","authors":[{"name":"Philippe Girard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04170293006541853,"gpt":0.3329697395027021,"spread":0.2912668094372836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01451573,0.001244251,0.00159112,0.003359836,0.0006899528,0.001378361,0.002242931,0.001579977,0.002602175],"category_scores_gemma":[0.05064811,0.0008322634,0.002181888,0.002151088,0.001378313,0.001053913,0.001521866,0.002510175,0.001170874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004665727,"about_ca_system_score_gemma":0.001378536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124758,"about_ca_topic_score_gemma":0.001664943,"domain_scores_codex":[0.9918165,0.003699416,0.0006984801,0.002123329,0.001482493,0.0001797517],"domain_scores_gemma":[0.9607277,0.02736156,0.003687621,0.005330737,0.00244877,0.0004436207],"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":[0.0008054537,0.0002992382,0.03079154,0.000819418,0.003348179,0.001098944,0.000442811,0.07155575,0.06013837,0.02161638,0.01038243,0.7987016],"study_design_scores_gemma":[0.0003516357,0.000743393,0.02931745,0.0001035178,0.0006467465,0.002496109,0.0001341501,0.8744863,0.04161827,0.03244495,0.01732317,0.0003343372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00464007,0.00004998693,0.9929142,0.00004014609,0.00002668358,0.00005906938,0.0002013365,0.001966079,0.0001023784],"genre_scores_gemma":[0.06986977,0.00006039985,0.9273319,0.00009632466,0.00005441108,0.0006492163,0.0008819675,0.0004813905,0.0005746904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01451573,"threshold_uncertainty_score":0.07676744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090537645","doi":"10.2202/1544-6115.1436","title":"A Bayesian Analysis Strategy for Cross-Study Translation of Gene Expression Biomarkers","year":2009,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Booth University College","funders":"National Cancer Institute","keywords":"Computational biology; Multivariate statistics; Gene expression profiling; Bayesian probability; Computer science; Biology; Bioinformatics; Gene expression; Data mining; Gene; Artificial intelligence; Machine learning; Genetics","authors":[{"name":"Joseph E. Lucas","is_ca":false},{"name":"Carlos M. Carvalho","is_ca":true},{"name":"Mike West","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01668035352172421,"gpt":0.3585117762264449,"spread":0.3418314227047207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03489269,0.001937941,0.002471334,0.0037768,0.001407863,0.002719781,0.002994867,0.001969632,0.007470665],"category_scores_gemma":[0.09201027,0.001706003,0.003217423,0.003338105,0.001616272,0.001730723,0.003396325,0.003825314,0.001919125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672583,"about_ca_system_score_gemma":0.00366297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004939351,"about_ca_topic_score_gemma":0.004893587,"domain_scores_codex":[0.9833989,0.01185483,0.0007350205,0.002030127,0.001681082,0.0003000051],"domain_scores_gemma":[0.951582,0.03621903,0.002471125,0.005659057,0.003412401,0.0006564436],"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":[0.0006930917,0.0003403542,0.009461475,0.0007113648,0.002504847,0.001044291,0.0006261786,0.1273845,0.01249503,0.2639925,0.009133821,0.5716125],"study_design_scores_gemma":[0.000176419,0.0003289819,0.003154251,0.0001160172,0.0005280302,0.0003588689,0.00007842287,0.5858594,0.004091041,0.3908517,0.01433089,0.0001260572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006535786,0.00009677184,0.9985783,0.0001120568,0.00002218649,0.00006071655,0.00007133889,0.0001747154,0.0002303307],"genre_scores_gemma":[0.08079121,0.0004657247,0.9127375,0.0005552341,0.0002577256,0.001756948,0.0009993032,0.0005304372,0.001905875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03489269,"threshold_uncertainty_score":0.1845324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047329948","doi":"10.2202/1544-6115.1641","title":"Linear Combination Test for Hierarchical Gene Set Analysis","year":2011,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"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":"Estimator; Covariance matrix; Set (abstract data type); Covariance; Computer science; Computational biology; Test statistic; Algorithm; Mathematics; Statistical hypothesis testing; Biology; Statistics","authors":[{"name":"Xiaoming Wang","is_ca":true},{"name":"Irina Dinu","is_ca":false},{"name":"Wei Liu","is_ca":false},{"name":"Yutaka Yasui","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0203013244296715,"gpt":0.323868930847806,"spread":0.3035676064181345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02153641,0.001538688,0.003486135,0.00450193,0.00226236,0.001603372,0.004110683,0.001883698,0.01494452],"category_scores_gemma":[0.1091496,0.000631439,0.00401169,0.004827909,0.002682764,0.002431961,0.002446993,0.004579552,0.002041189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783598,"about_ca_system_score_gemma":0.003261463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0030738,"about_ca_topic_score_gemma":0.002033308,"domain_scores_codex":[0.9500344,0.03323425,0.001454372,0.007905782,0.006081657,0.001289473],"domain_scores_gemma":[0.897972,0.08635242,0.003418812,0.006521618,0.004376745,0.001358491],"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":[0.005329702,0.001210349,0.07451677,0.001608968,0.005903601,0.002340433,0.001036732,0.1423096,0.01150611,0.08276653,0.02698297,0.6444883],"study_design_scores_gemma":[0.0004641889,0.002417953,0.02218974,0.00008848957,0.0005771714,0.0006312258,0.0002972281,0.8822837,0.004593133,0.08073547,0.005519223,0.0002024145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05031697,0.0004598799,0.9395201,0.000618621,0.0003416635,0.001117171,0.00171593,0.002556309,0.003353379],"genre_scores_gemma":[0.5820059,0.0001368773,0.4077918,0.0006081737,0.0003582648,0.00328622,0.00301576,0.0004320233,0.00236494],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02153641,"threshold_uncertainty_score":0.1138968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2197585008","doi":"10.1515/1544-6115.1760","title":"An Integrated Hierarchical Bayesian Model for Multivariate eQTL Mapping","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Montreal Clinical Research Institute","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"Multivariate statistics; Bayesian probability; Computer science; Bayesian hierarchical modeling; Artificial intelligence; Multivariate analysis; Data mining; Mathematics; Statistics; Machine learning; Bayesian inference","authors":[{"name":"Marie‐Pier Scott‐Boyer","is_ca":true},{"name":"Gregory Imholte","is_ca":false},{"name":"Arafat Tayeb","is_ca":true},{"name":"Aurélie Labbe","is_ca":true},{"name":"Christian F. Deschepper","is_ca":true},{"name":"Raphaël Gottardo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01868155739456009,"gpt":0.3105318896602877,"spread":0.2918503322657277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006214371,0.001433244,0.00219067,0.001582523,0.0008225223,0.001712538,0.004431917,0.002462936,0.006628472],"category_scores_gemma":[0.01215075,0.001104977,0.002178389,0.002275286,0.001942085,0.002273067,0.002010352,0.002959293,0.001369067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084437,"about_ca_system_score_gemma":0.002087921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02543634,"about_ca_topic_score_gemma":0.02431586,"domain_scores_codex":[0.9973668,0.001265108,0.00009979498,0.0006240442,0.0003944869,0.0002497623],"domain_scores_gemma":[0.9946856,0.004022229,0.0003577698,0.0002285534,0.000542843,0.0001629299],"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":[0.0001539087,0.00006890488,0.00289595,0.0001345315,0.0002014469,0.0002453378,0.0002486437,0.7539743,0.001125406,0.2031527,0.003660778,0.0341382],"study_design_scores_gemma":[0.00003644051,0.00001556691,0.0003955471,0.00001118531,0.0000309746,0.00003344929,0.00001216496,0.9460907,0.00008765156,0.05200656,0.001256462,0.0000233039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009061119,0.0004081287,0.9871439,0.0006136091,0.00004230149,0.00006539073,0.0006952717,0.0003309462,0.001639288],"genre_scores_gemma":[0.4773786,0.001781862,0.4939155,0.001084764,0.0002990722,0.001256045,0.003640085,0.0004338912,0.02021004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02543634,"threshold_uncertainty_score":0.05057657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1980353549","doi":"10.2202/1544-6115.1711","title":"Principal Components of Heritability for High Dimension Quantitative Traits and General Pedigrees","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Principal component analysis; Heritability; Pedigree chart; Variance (accounting); Estimator; Statistics; Context (archaeology); Dimension (graph theory); Linear discriminant analysis; Mathematics; Econometrics; Computer science; Biology; Genetics","authors":[{"name":"Karim Oualkacha","is_ca":true},{"name":"Aurélie Labbe","is_ca":true},{"name":"Antonio Ciampi","is_ca":true},{"name":"Marc‐André Roy","is_ca":true},{"name":"Michel Maziade","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02106082610958771,"gpt":0.3340524076844505,"spread":0.3129915815748628,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006334562,0.0009094258,0.0008256996,0.002380175,0.0003870887,0.001232826,0.0009532938,0.0008004062,0.002797522],"category_scores_gemma":[0.03122126,0.0004708159,0.001164501,0.0024531,0.001419375,0.002038135,0.000996134,0.001656821,0.0006234495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007331553,"about_ca_system_score_gemma":0.0007644097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783064,"about_ca_topic_score_gemma":0.002613782,"domain_scores_codex":[0.9972764,0.001470622,0.0001316387,0.0005472873,0.0004695726,0.00010454],"domain_scores_gemma":[0.9899179,0.008103252,0.0006258144,0.0008740447,0.0004218705,0.00005711442],"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":[0.00009751763,0.00004192682,0.01670769,0.0008009214,0.0004900858,0.0003001658,0.0009210943,0.04783323,0.002550801,0.5744485,0.006884954,0.3489233],"study_design_scores_gemma":[0.00003834199,0.00007925356,0.04606341,0.0004488361,0.0002567693,0.0006506707,0.000253216,0.1560784,0.001427703,0.7676218,0.02693584,0.000145736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01059587,0.003620326,0.98312,0.0002172929,0.00007191889,0.00006504262,0.0002744184,0.0001950314,0.00184004],"genre_scores_gemma":[0.3346295,0.009423167,0.6504897,0.0002770978,0.0003393338,0.0005781248,0.0009802753,0.0002969737,0.002985773],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006334562,"threshold_uncertainty_score":0.03350073,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010805470","doi":"10.1515/sagmb-2013-0066","title":"Robustness of the linear mixed effects model to error distribution assumptions and the consequences for genome-wide association studies","year":2014,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Medical Research Council; University of Bristol; Australian Government; Wellcome Trust","keywords":"Heteroscedasticity; Statistics; Random effects model; Type I and type II errors; Mixed model; Mathematics; Robustness (evolution); Linear model; Econometrics; Standard error; Genome-wide association study; Inference; Computer science; Genetics; Biology; Medicine; Single-nucleotide polymorphism; Artificial intelligence","authors":[{"name":"Nicole M. Warrington","is_ca":false},{"name":"Kate Tilling","is_ca":false},{"name":"Laura D Howe","is_ca":false},{"name":"Lavinia Paternoster","is_ca":false},{"name":"Craig E. Pennell","is_ca":false},{"name":"Yan Yan Wu","is_ca":true},{"name":"Laurent Briollais","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01638347954891364,"gpt":0.324614360187526,"spread":0.3082308806386124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2617944,0.00214476,0.004740781,0.002646639,0.002484848,0.005002116,0.006384532,0.005414275,0.004387724],"category_scores_gemma":[0.556852,0.001885674,0.00553627,0.003503615,0.007199321,0.004764447,0.004531246,0.009669111,0.001027454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003253785,"about_ca_system_score_gemma":0.004492932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01646433,"about_ca_topic_score_gemma":0.006166352,"domain_scores_codex":[0.8075825,0.1631107,0.005784221,0.01444058,0.007248679,0.001833466],"domain_scores_gemma":[0.3543729,0.596179,0.01374675,0.02564901,0.009106713,0.0009456816],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002873241,0.0002576747,0.05097331,0.001976613,0.006442223,0.003247039,0.003700313,0.3871416,0.002472503,0.3871272,0.008923861,0.1448644],"study_design_scores_gemma":[0.0004434807,0.0006074596,0.01240853,0.0006510363,0.000992031,0.0009446464,0.0005812756,0.5288093,0.001673968,0.440674,0.01189695,0.0003173527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01473691,0.001395419,0.9765285,0.003554981,0.0004527622,0.0004710355,0.0004830527,0.0004953297,0.001882104],"genre_scores_gemma":[0.4565527,0.002084629,0.524921,0.004903278,0.0009797036,0.004067968,0.001606401,0.0007466961,0.004137706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7382057,"threshold_uncertainty_score":0.910339,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W146638925","doi":"10.1515/1544-6115.1779","title":"Hessian Calculation for Phylogenetic Likelihood based on the Pruning Algorithm and its Applications","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Hessian matrix; Computation; Pruning; Algorithm; Tree (set theory); Mathematics; Likelihood function; Restricted maximum likelihood; Inference; Computer science; Maximum likelihood; Model selection; Mathematical optimization; Matrix (chemical analysis); Newton's method; Applied mathematics; Estimation theory; Statistics; Artificial intelligence; Combinatorics; Nonlinear system","authors":[{"name":"Toby Kenney","is_ca":true},{"name":"Hong Gu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01117047521445802,"gpt":0.2885623222237179,"spread":0.2773918470092598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053069,0.0007745601,0.0006795005,0.001511549,0.000590758,0.0007957761,0.001058787,0.0009853974,0.003768137],"category_scores_gemma":[0.01051674,0.0004204476,0.000788645,0.001559452,0.0007746735,0.001378867,0.00096649,0.001316366,0.00167002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006167561,"about_ca_system_score_gemma":0.001160686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697396,"about_ca_topic_score_gemma":0.003019284,"domain_scores_codex":[0.9988254,0.0003921116,0.00006748844,0.0001065113,0.0005501149,0.00005842615],"domain_scores_gemma":[0.9973787,0.001560709,0.0002112816,0.0002479973,0.000525983,0.00007531997],"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":[0.00007289199,0.00009750362,0.00195327,0.0005188685,0.0001092967,0.0009054674,0.0003805254,0.2106017,0.02337358,0.3461234,0.008594653,0.4072689],"study_design_scores_gemma":[0.00001713355,0.00003845451,0.001123515,0.00005264456,0.0000227612,0.0003946065,0.00002401662,0.8935829,0.005052449,0.09141657,0.008224064,0.00005088423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002347726,0.0002096854,0.9959769,0.00009876022,0.00003203316,0.00002071351,0.00002147633,0.0001919193,0.001100853],"genre_scores_gemma":[0.05381779,0.000564821,0.942344,0.0001007645,0.00009360614,0.0001241724,0.0001190811,0.0003778436,0.002457938],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003768137,"threshold_uncertainty_score":0.01260573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038019245","doi":"10.2202/1544-6115.1713","title":"A Family-Based Probabilistic Method for Capturing De Novo Mutations from High-Throughput Short-Read Sequencing Data","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Genetics; DNA sequencing; Biology; Selection (genetic algorithm); Mendelian inheritance; Mutation rate; Mutation; Computational biology; Genome; Population; Human genome; Throughput; Genomics; Computer science; Gene; Artificial intelligence","authors":[{"name":"Reed A. Cartwright","is_ca":false},{"name":"Julie Hussin","is_ca":true},{"name":"Jonathan Keebler","is_ca":false},{"name":"Eric A. Stone","is_ca":false},{"name":"Philip Awadalla","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03463663899362284,"gpt":0.3582648466181984,"spread":0.3236282076245755,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004186128,0.0008061896,0.0007723612,0.00227295,0.0008555843,0.0008501958,0.001782634,0.001052172,0.001785824],"category_scores_gemma":[0.01221453,0.0006808618,0.001294488,0.002115116,0.0006348735,0.001236035,0.0009631931,0.001328439,0.0007349664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000765981,"about_ca_system_score_gemma":0.002058106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008674677,"about_ca_topic_score_gemma":0.01272299,"domain_scores_codex":[0.9984913,0.0005598045,0.0001024189,0.0003838801,0.0004021533,0.00006045791],"domain_scores_gemma":[0.9936054,0.00430012,0.0006439332,0.0006862627,0.0006148809,0.0001495161],"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":[0.0003196716,0.0001279223,0.01804335,0.0002710374,0.0005409951,0.0006610082,0.0003717436,0.5490958,0.01723947,0.03467714,0.005364215,0.3732876],"study_design_scores_gemma":[0.000012185,0.00002490733,0.001672523,0.00001162893,0.00003097806,0.0002859173,0.00001275645,0.9818216,0.001597247,0.01185767,0.002634371,0.00003828147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002835146,0.00006884165,0.9963643,0.00003182351,0.000009276836,0.00001884994,0.0001301712,0.000437233,0.0001043792],"genre_scores_gemma":[0.09466188,0.0002291163,0.9022762,0.00008842895,0.00005596368,0.0002152786,0.001084926,0.0002181064,0.001169992],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008674677,"threshold_uncertainty_score":0.0221386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982030926","doi":"10.2202/1544-6115.1261","title":"Estimating Number of Clusters Based on a General Similarity Matrix with Application to Microarray Data","year":2008,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","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":"Cluster analysis; Similarity (geometry); Data mining; Computer science; Selection (genetic algorithm); Set (abstract data type); A priori and a posteriori; Data set; Model selection; Matrix (chemical analysis); Determining the number of clusters in a data set; Artificial intelligence; Correlation clustering; CURE data clustering algorithm","authors":[{"name":"Shafagh Fallah","is_ca":true},{"name":"David Tritchler","is_ca":false},{"name":"Joseph Beyene","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01388867764490385,"gpt":0.3370596504591929,"spread":0.323170972814289,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006226114,0.0007892174,0.001406398,0.003008774,0.001179026,0.001379793,0.002053657,0.001604839,0.0008057265],"category_scores_gemma":[0.02476651,0.0006132261,0.001211646,0.003907684,0.001522078,0.002139454,0.001814584,0.001427045,0.000409177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461457,"about_ca_system_score_gemma":0.001423962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005072501,"about_ca_topic_score_gemma":0.005334629,"domain_scores_codex":[0.9967937,0.001394783,0.0001673312,0.0007583108,0.0007464759,0.0001393791],"domain_scores_gemma":[0.9870023,0.008862638,0.0009891302,0.00122371,0.001631618,0.000290641],"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":[0.0002220669,0.00009842853,0.007625191,0.0002301796,0.0001977909,0.0001697523,0.000348329,0.7888135,0.008715658,0.03757438,0.001755477,0.1542493],"study_design_scores_gemma":[0.000009236901,0.00002552327,0.001074493,0.000007225554,0.00001095692,0.00006426636,0.00002362949,0.9805481,0.0008333155,0.01696982,0.0004139088,0.00001958479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01374941,0.000150027,0.985536,0.00008867662,0.0000109787,0.00005198904,0.00004501539,0.000175842,0.0001920302],"genre_scores_gemma":[0.205387,0.0004446079,0.7925681,0.00005926183,0.00007822428,0.000201363,0.0003632726,0.0001020596,0.000796117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006226114,"threshold_uncertainty_score":0.03292722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068181458","doi":"10.1515/sagmb-2012-0070","title":"A novel method for analyzing genetic association with longitudinal phenotypes","year":2013,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute for Biological Sciences","funders":"National Institute of General Medical Sciences; National Institute on Drug Abuse; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Framingham Heart Study; SNP; Genetic association; Statistical power; Trait; Bayesian probability; False discovery rate; Genome-wide association study; Replicate; Statistics; Statistical hypothesis testing; Quantitative trait locus; Biology; Disease; Computational biology; Genetics; Computer science; Single-nucleotide polymorphism; Genotype; Framingham Risk Score; Mathematics; Gene; Medicine; Internal medicine","authors":[{"name":"Douglas Londoño","is_ca":false},{"name":"Kuo-mei Chen","is_ca":false},{"name":"Anthony M. Musolf","is_ca":false},{"name":"Ruixue Wang","is_ca":false},{"name":"Tong Shen","is_ca":false},{"name":"January Brandon","is_ca":false},{"name":"John A. Herring","is_ca":false},{"name":"Carol A. Wise","is_ca":false},{"name":"Hong Fei Zou","is_ca":false},{"name":"Meilei Jin","is_ca":true},{"name":"Lei Yu","is_ca":false},{"name":"Stephen J. Finch","is_ca":false},{"name":"Tara C. Matise","is_ca":false},{"name":"Derek Gordon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01093452075784583,"gpt":0.3158189965437446,"spread":0.3048844757858988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01505181,0.0009951679,0.001238897,0.003665094,0.0009285489,0.001204988,0.001772578,0.001136253,0.003716712],"category_scores_gemma":[0.06999475,0.0006683787,0.001914095,0.002927532,0.001252891,0.001500271,0.001654219,0.002337229,0.0008474757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065813,"about_ca_system_score_gemma":0.00177326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00329346,"about_ca_topic_score_gemma":0.00252836,"domain_scores_codex":[0.9913703,0.005157067,0.0004864913,0.001513264,0.00132878,0.0001439511],"domain_scores_gemma":[0.9514897,0.03855174,0.002245945,0.005232242,0.002108667,0.0003716253],"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":[0.0006176301,0.000356836,0.07468498,0.0006387252,0.002348819,0.0006570849,0.0009804146,0.08149578,0.01430933,0.09317081,0.009203624,0.721536],"study_design_scores_gemma":[0.0003015778,0.0004314924,0.02118988,0.0001257012,0.0004557595,0.001870752,0.0001214559,0.7900873,0.005793161,0.1609777,0.0184425,0.0002027086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003283494,0.00006103222,0.9957573,0.00006935818,0.00003166833,0.00008887286,0.000162108,0.000327059,0.0002191599],"genre_scores_gemma":[0.08853062,0.0001499425,0.9081256,0.0001470346,0.0001021481,0.001037782,0.0006393395,0.0002149698,0.001052518],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01505181,"threshold_uncertainty_score":0.07960254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1647270943","doi":"10.1515/1544-6115.1807","title":"Estimators of the local false discovery rate designed for small numbers of tests","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Estimator; False discovery rate; Bayes' theorem; Parametric statistics; Feature (linguistics); Negative binomial distribution; Binomial distribution; Prior probability","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1852363415391905,"gpt":0.5019122555711589,"spread":0.3166759140319684,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1252182,0.003689829,0.004153367,0.00627063,0.001339078,0.003246987,0.008296595,0.005864002,0.00337276],"category_scores_gemma":[0.4159715,0.002591259,0.003043821,0.004012784,0.005786136,0.005486134,0.003984124,0.008820826,0.001767796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717752,"about_ca_system_score_gemma":0.004056402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377703,"about_ca_topic_score_gemma":0.0009704101,"domain_scores_codex":[0.8828155,0.0902404,0.00482394,0.00977086,0.01120189,0.001147294],"domain_scores_gemma":[0.5541083,0.3810628,0.01859335,0.03060396,0.01451934,0.001112388],"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":[0.00140668,0.0004766996,0.01439632,0.002133152,0.002799575,0.0007495876,0.0009920303,0.2648017,0.01152171,0.2284277,0.007661446,0.4646333],"study_design_scores_gemma":[0.000403752,0.0006321827,0.003976481,0.0005950247,0.0005234535,0.0009459626,0.0001343758,0.8380243,0.01403257,0.1265257,0.01389094,0.0003152819],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006995373,0.0002139376,0.9982469,0.00005284385,0.00006212351,0.0001616707,0.00003084419,0.0003710509,0.0001612219],"genre_scores_gemma":[0.03476887,0.0002504193,0.9608509,0.0003103463,0.0001990361,0.002484828,0.0002045919,0.0003842765,0.0005467872],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1252182,"threshold_uncertainty_score":0.662225,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2950331006","doi":"10.1515/sagmb-2016-0077","title":"Multivariate association between single-nucleotide polymorphisms in Alzgene linkage regions and structural changes in the brain: discovery, refinement and validation","year":2017,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Simon Fraser University","funders":"National Institute on Aging","keywords":"Multivariate statistics; Single-nucleotide polymorphism; Linkage (software); Multivariate analysis; Computational biology; Association (psychology); Biology; Genetic association; Genetics; Computer science; Psychology; Genotype; Machine learning; Gene","authors":[{"name":"Elena Szefer","is_ca":true},{"name":"Donghuan Lu","is_ca":true},{"name":"Farouk S. Nathoo","is_ca":true},{"name":"Mirza Faisal Beg","is_ca":true},{"name":"Jinko Graham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02125927351717176,"gpt":0.3167864999722645,"spread":0.2955272264550927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04232881,0.001217577,0.001382777,0.002649247,0.001054137,0.001206716,0.001930522,0.0007202173,0.00151408],"category_scores_gemma":[0.07119695,0.0005269123,0.003029098,0.002967051,0.001679812,0.0007194408,0.001953664,0.001764106,0.0004522163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004392467,"about_ca_system_score_gemma":0.002717372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008263986,"about_ca_topic_score_gemma":0.01093803,"domain_scores_codex":[0.986089,0.009694238,0.0008085346,0.001744228,0.001121863,0.0005420411],"domain_scores_gemma":[0.9164672,0.06638504,0.004087375,0.009432249,0.002690739,0.0009372767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002402355,0.0005431867,0.8547962,0.0003008388,0.003763386,0.001030833,0.0007361333,0.04771237,0.01425633,0.002253076,0.003158242,0.06904703],"study_design_scores_gemma":[0.0006833767,0.001621941,0.6186311,0.00006957744,0.00164765,0.001273951,0.000326007,0.3577406,0.008493709,0.006198777,0.003171918,0.0001414466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197463,0.0002606741,0.07687408,0.0001675873,0.00002587836,0.0001836925,0.001766804,0.0006836762,0.0002912826],"genre_scores_gemma":[0.9350355,0.0001043422,0.0567474,0.0000779703,0.00002757845,0.0002695205,0.007297224,0.0001761596,0.0002644053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04232881,"threshold_uncertainty_score":0.2238588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3098349241","doi":"10.1515/1544-6115.1765","title":"Empirical Bayes Interval Estimates that are Conditionally Equal to Unadjusted Confidence Intervals or to Default Prior Credibility Intervals","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Credible interval; Confidence interval; Statistics; Mathematics; CDF-based nonparametric confidence interval; Confidence distribution; Posterior probability; Point estimation; Coverage probability; Bayes' theorem; Prior probability; Frequentist inference; Binomial proportion confidence interval; Bayesian probability; Econometrics; Bayesian inference; Poisson distribution; Negative binomial distribution","authors":[{"name":"David R. Bickel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.140143340997002,"gpt":0.4754230405119975,"spread":0.3352796995149954,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03530614,0.001770888,0.002623151,0.005815227,0.001164513,0.007596604,0.004851129,0.003554074,0.01309791],"category_scores_gemma":[0.3252388,0.001337568,0.002446877,0.004347915,0.004277039,0.009397956,0.003815507,0.006975898,0.002901121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058524,"about_ca_system_score_gemma":0.001877122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152663,"about_ca_topic_score_gemma":0.001020917,"domain_scores_codex":[0.9679555,0.012637,0.002504105,0.008068825,0.007997433,0.0008372718],"domain_scores_gemma":[0.7844182,0.167043,0.01201034,0.02223799,0.0132644,0.001026156],"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":[0.0003680214,0.00006727237,0.005242097,0.00143613,0.0006682564,0.0003653055,0.0007809892,0.06200644,0.001542538,0.641203,0.01399428,0.2723257],"study_design_scores_gemma":[0.00009941387,0.00009742802,0.002475173,0.0009778948,0.0002177416,0.0007116615,0.0002010618,0.1218263,0.003111279,0.841184,0.02892311,0.0001749375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003886737,0.001929559,0.9848427,0.0004296306,0.0003049359,0.00009689675,0.0004568442,0.0009237399,0.00712904],"genre_scores_gemma":[0.3111606,0.002756021,0.6758744,0.001303845,0.001250969,0.0009866137,0.001886821,0.001312101,0.003468578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03530614,"threshold_uncertainty_score":0.1867189,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2292733224","doi":"10.1515/sagmb-2014-0098","title":"Using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling","year":2015,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Multinomial distribution; Dirichlet distribution; Profiling (computer programming); Jump; Mathematics; Genome; Mixture model; Statistics; Computational biology; Biology; Econometrics; Computer science; Statistical physics; Genetics; Physics","authors":[{"name":"Rawane Samb","is_ca":false},{"name":"Khader Khadraoui","is_ca":false},{"name":"Pascal Belleau","is_ca":false},{"name":"Astrid Deschênes","is_ca":true},{"name":"Lajmi Lakhal‐Chaieb","is_ca":true},{"name":"Arnaud Droit","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02302672730663576,"gpt":0.330383120676481,"spread":0.3073563933698452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046066,0.0007982019,0.001618753,0.001808033,0.001075353,0.001318274,0.002757024,0.002057469,0.003126911],"category_scores_gemma":[0.01148503,0.001043579,0.002352762,0.001714763,0.00150404,0.002200684,0.001651133,0.002981784,0.001113064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443355,"about_ca_system_score_gemma":0.00160209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239802,"about_ca_topic_score_gemma":0.01493303,"domain_scores_codex":[0.9984829,0.0008236195,0.00005882604,0.000306407,0.0002199482,0.0001083781],"domain_scores_gemma":[0.9949518,0.004162298,0.0002238419,0.0002991659,0.000226133,0.0001367173],"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":[0.0006296015,0.0002155917,0.004502321,0.0002337817,0.0002325556,0.0002518043,0.0003888214,0.7642441,0.007848205,0.1016616,0.002417649,0.1173739],"study_design_scores_gemma":[0.00001930047,0.00001045601,0.0002296321,0.000008460709,0.0000142368,0.00002733595,0.00001024338,0.9817991,0.0007382621,0.01663076,0.0004905702,0.00002175282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009979288,0.0001608524,0.9889796,0.0001201298,0.00002214858,0.00003837157,0.00007400575,0.0003622518,0.000263391],"genre_scores_gemma":[0.2407286,0.0006275667,0.7524839,0.0002732579,0.0001207101,0.0005287875,0.001083902,0.0004239807,0.003729277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01239802,"threshold_uncertainty_score":0.02465177,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W106150465","doi":"10.2202/1544-6115.1410","title":"Testing for Gene-Gene Interaction with AMMI Models","year":2010,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Ammi; Gene interaction; Biplot; Main effect; Interaction; Gene–environment interaction; Computational biology; Additive genetic effects; Biology; Multiplicative function; Genetics; Gene; Trait; Mixed model; Computer science; Mathematics; Genotype; Statistics; Heritability","authors":[{"name":"Amina Barhdadi","is_ca":true},{"name":"Marie‐Pierre Dubé","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01635226709220338,"gpt":0.285890504062962,"spread":0.2695382369707586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04657119,0.003159824,0.003058355,0.003455546,0.001557412,0.002756751,0.003280924,0.002159543,0.003873721],"category_scores_gemma":[0.1042387,0.0009023744,0.004102855,0.002764029,0.002045694,0.002423012,0.002677396,0.003722409,0.0008650125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009312814,"about_ca_system_score_gemma":0.001533454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388007,"about_ca_topic_score_gemma":0.001625757,"domain_scores_codex":[0.9512286,0.03966036,0.001168345,0.004291703,0.002758521,0.0008924671],"domain_scores_gemma":[0.8345485,0.1541889,0.003801306,0.00480773,0.001843003,0.0008106416],"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":[0.001716594,0.0009720306,0.1010727,0.0006748011,0.006915106,0.001340267,0.0009386134,0.690754,0.007461508,0.0513457,0.004204785,0.1326039],"study_design_scores_gemma":[0.00008045503,0.0006307474,0.007829711,0.00003351994,0.0002697878,0.0002523433,0.0001241737,0.9503829,0.001389732,0.03752124,0.001399272,0.00008608236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0773928,0.0003086901,0.9188538,0.0003489846,0.00009333929,0.0002994081,0.0006981746,0.0008837355,0.001120955],"genre_scores_gemma":[0.593092,0.0003286076,0.4006234,0.0003353516,0.0001452777,0.001332626,0.002356204,0.0003438281,0.001442765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04657119,"threshold_uncertainty_score":0.246295,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2070009349","doi":"10.1515/sagmb-2013-0003","title":"Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions","year":2013,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Estimator; False discovery rate; Prior probability; Nonparametric statistics; Parametric statistics; Bayes' theorem; Generality; Simple (philosophy)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1952700356856978,"gpt":0.5447426637159445,"spread":0.3494726280302467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09036037,0.003532605,0.004178447,0.005930094,0.0009726463,0.003241044,0.005931182,0.004171451,0.00480348],"category_scores_gemma":[0.3454602,0.001100987,0.003128832,0.004704327,0.005710622,0.005355843,0.003903133,0.005751048,0.001939944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590882,"about_ca_system_score_gemma":0.002353362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003679074,"about_ca_topic_score_gemma":0.0003711911,"domain_scores_codex":[0.9374128,0.04168784,0.00408425,0.007558602,0.008557466,0.0006990357],"domain_scores_gemma":[0.692917,0.2578443,0.01934606,0.0235977,0.005602661,0.0006923026],"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":[0.001599851,0.0004382416,0.01490775,0.007193076,0.004173699,0.001067683,0.001182475,0.03822594,0.01542121,0.2769267,0.01179378,0.6270695],"study_design_scores_gemma":[0.0007017669,0.001410127,0.01815902,0.002251413,0.00174327,0.003830885,0.0004726028,0.1355065,0.03979962,0.7621148,0.03338459,0.0006253597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002683139,0.001590578,0.9931461,0.0002274006,0.0001740032,0.0002416614,0.0002507688,0.0007575611,0.000928916],"genre_scores_gemma":[0.1401866,0.002203358,0.8498511,0.0007521314,0.0006022999,0.003790523,0.0007537586,0.0005563883,0.00130376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9096397,"threshold_uncertainty_score":0.477877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1489518784","doi":"10.2202/1544-6115.1298","title":"A Composite-Conditional-Likelihood Approach for Gene Mapping Based on Linkage Disequilibrium in Windows of Marker Loci","year":2008,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Linkage disequilibrium; Genetics; Locus (genetics); Biology; Single-nucleotide polymorphism; Association mapping; Genetic marker; Haplotype; Statistics; Mathematics; Algorithm; Allele; Gene; Genotype","authors":[{"name":"Fabrice Larribe","is_ca":true},{"name":"Sabin Lessard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01289154859514414,"gpt":0.2573931420323595,"spread":0.2445015934372153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006193627,0.0009858368,0.001578645,0.00227555,0.0007455305,0.001228733,0.004271144,0.001094486,0.0023633],"category_scores_gemma":[0.0168602,0.0007537248,0.00191567,0.002059482,0.001349082,0.001518668,0.00220676,0.002404148,0.0006498375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008604135,"about_ca_system_score_gemma":0.001808762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00425121,"about_ca_topic_score_gemma":0.003379022,"domain_scores_codex":[0.9976235,0.001406872,0.00008104697,0.0004089196,0.0003620458,0.0001176739],"domain_scores_gemma":[0.9886808,0.009159695,0.0005425369,0.0007151673,0.0005786455,0.0003230954],"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":[0.0004871635,0.0001822106,0.009036095,0.0004268396,0.0005508272,0.0005687801,0.0004561169,0.5994762,0.007170029,0.1214173,0.00218833,0.2580401],"study_design_scores_gemma":[0.00001932912,0.00003667497,0.000508404,0.000008751738,0.00002761664,0.0001082444,0.00001008203,0.9778111,0.0006165012,0.01991424,0.0009106541,0.00002848204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00241216,0.0000962013,0.9971542,0.00002787847,0.000008383559,0.00001903205,0.00002526009,0.0001574158,0.00009935982],"genre_scores_gemma":[0.1123206,0.0003295321,0.8847232,0.00008860994,0.00009258546,0.0003212246,0.0004564093,0.0002856054,0.001382268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006193627,"threshold_uncertainty_score":0.03275537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2140183618","doi":"10.2202/1544-6115.1569","title":"Information Metrics in Genetic Epidemiology","year":2011,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Multiple Sclerosis Society; National Multiple Sclerosis Society; Mitacs; U.S. Department of Defense; National Institutes of Health; National Science Foundation","keywords":"Computer science; Probabilistic logic; Context (archaeology); Relation (database); Interpretation (philosophy); Contrast (vision); Multinomial distribution; Genetic epidemiology; Data mining; Data science; Machine learning; Artificial intelligence; Econometrics; Mathematics; Biology; Genetics; Gene","authors":[{"name":"David Tritchler","is_ca":false},{"name":"Lara Sucheston","is_ca":false},{"name":"Pritam Chanda","is_ca":false},{"name":"Murali Ramanathan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02503040580955535,"gpt":0.3209507100143086,"spread":0.2959203042047532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01212405,0.00151762,0.001861566,0.007228054,0.001259016,0.004508645,0.001353715,0.00244937,0.001681713],"category_scores_gemma":[0.03893822,0.0005776561,0.00140921,0.005643471,0.005836205,0.007650652,0.003091202,0.00313358,0.0004180002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003299818,"about_ca_system_score_gemma":0.001434491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458899,"about_ca_topic_score_gemma":0.0007994186,"domain_scores_codex":[0.9895878,0.007023414,0.0005674603,0.0009606223,0.001551558,0.0003092575],"domain_scores_gemma":[0.961819,0.02946861,0.002430957,0.002520879,0.002926557,0.0008340332],"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":[0.000008151475,0.000006939509,0.0006133465,0.00009520751,0.00004107857,0.00003860586,0.0001192496,0.01186989,0.0001488805,0.9711589,0.001444236,0.01445562],"study_design_scores_gemma":[0.000002836484,0.00001571134,0.0002953296,0.00003792984,0.00001135332,0.00005971169,0.00002550874,0.02066317,0.00006655073,0.9752815,0.003523998,0.00001632402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01532887,0.02353886,0.943601,0.005282264,0.0004223065,0.00008692344,0.000559564,0.0001493712,0.01103079],"genre_scores_gemma":[0.5657218,0.02731434,0.3935802,0.001796906,0.003388698,0.0006605951,0.00111987,0.0001957085,0.006221948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01212405,"threshold_uncertainty_score":0.06411886,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014699424","doi":"10.1515/sagmb-2012-0044","title":"Imputing genotypes using regularized generalized linear regression models","year":2014,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Imputation (statistics); Missing data; International HapMap Project; Computer science; Statistics; Data mining; Context (archaeology); Mathematics; Single-nucleotide polymorphism; Genotype; Biology; Genetics","authors":[{"name":"William Wong","is_ca":true},{"name":"Josh Griesman","is_ca":false},{"name":"Zeny Feng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01354111923523824,"gpt":0.3050527533421067,"spread":0.2915116341068685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01120837,0.00129748,0.002056113,0.00139629,0.0004737155,0.001288986,0.003263326,0.001690074,0.00188986],"category_scores_gemma":[0.02215561,0.0008959046,0.002747955,0.002237071,0.0008586879,0.00143997,0.001334077,0.002312388,0.001044692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007141284,"about_ca_system_score_gemma":0.001793162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009587359,"about_ca_topic_score_gemma":0.007892892,"domain_scores_codex":[0.9920087,0.006170315,0.000207492,0.0008834974,0.0004840811,0.0002459219],"domain_scores_gemma":[0.9854983,0.0111108,0.0009704614,0.001383332,0.000877531,0.0001594093],"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":[0.0003089388,0.00009310651,0.003088703,0.00009924757,0.0003643378,0.000281732,0.0001246559,0.9114248,0.0007677516,0.01146826,0.002506963,0.06947155],"study_design_scores_gemma":[0.00002160686,0.00002319471,0.0002466815,0.000005884709,0.00001773844,0.00003304978,0.000006664231,0.9923246,0.0001665056,0.00672573,0.0004148988,0.00001345908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01199677,0.0001629858,0.9863443,0.0001876027,0.00002338638,0.00004541146,0.0002636897,0.0007753168,0.0002003835],"genre_scores_gemma":[0.3091634,0.0005605328,0.6821744,0.0003601513,0.0001557446,0.0004155702,0.003016965,0.0004396549,0.003713572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01120837,"threshold_uncertainty_score":0.05927622,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994687716","doi":"10.2202/1544-6115.1140","title":"Continuous Covariates in Genetic Association Studies of Case-Parent Triads: Gene and Gene-Environment Interaction Effects, Population Stratification, and Power Analysis","year":2005,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation","funders":"","keywords":"Multinomial logistic regression; Covariate; Statistics; Population stratification; Categorical variable; Multinomial distribution; Logistic regression; Econometrics; Mathematics; Population; Inference; Multinomial probit; Missing data; Logistic model tree; Computer science; Biology; Genetics; Genotype; Demography; Artificial intelligence","authors":[{"name":"Sooyeol Lim","is_ca":true},{"name":"Joseph Beyene","is_ca":false},{"name":"Celia M.T. Greenwood","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007811834463553979,"gpt":0.2956802522889926,"spread":0.2878684178254386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05642977,0.001001867,0.002286095,0.002372362,0.0008433114,0.001569141,0.002600973,0.002079211,0.002939518],"category_scores_gemma":[0.1674513,0.0009450805,0.001504398,0.004921257,0.002482802,0.002355157,0.002350359,0.001879894,0.0004597963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004865259,"about_ca_system_score_gemma":0.001002832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008109234,"about_ca_topic_score_gemma":0.001076545,"domain_scores_codex":[0.9380118,0.05547108,0.001315553,0.002342464,0.002574055,0.0002849603],"domain_scores_gemma":[0.8863267,0.0978122,0.006511867,0.007311243,0.001429258,0.0006088407],"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":[0.002482857,0.0005512337,0.1846331,0.002270548,0.002719095,0.003220309,0.002474012,0.1147668,0.00954621,0.20758,0.004469796,0.465286],"study_design_scores_gemma":[0.000982468,0.002276697,0.07641724,0.0003549929,0.0007816114,0.003530864,0.0003156373,0.4531322,0.003843663,0.4447075,0.01333503,0.0003222197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02194251,0.0007263001,0.9760236,0.0004114266,0.00005067567,0.0001695485,0.0001430264,0.0001608739,0.0003721397],"genre_scores_gemma":[0.2770896,0.0008527832,0.718577,0.000297646,0.0002213571,0.001854936,0.0003328501,0.0001465722,0.0006273066],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05642977,"threshold_uncertainty_score":0.2984326,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2400442575","doi":"10.1515/sagmb-2015-0026","title":"Identification of consistent functional genetic modules","year":2016,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"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":"Identification (biology); Computational biology; Computer science; Biological system; Biology","authors":[{"name":"Jeffrey C. Miecznikowski","is_ca":false},{"name":"Daniel P. Gaile","is_ca":false},{"name":"Xiwei Chen","is_ca":false},{"name":"David Tritchler","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009952392029068407,"gpt":0.2809339686172485,"spread":0.2709815765881801,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002850327,0.0005238551,0.0007841237,0.002395001,0.0004590435,0.0009257733,0.001128059,0.0007937382,0.0009208029],"category_scores_gemma":[0.01415696,0.0003681096,0.0007084659,0.00113282,0.0008557356,0.001122748,0.001124399,0.0008710979,0.0002742347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000472195,"about_ca_system_score_gemma":0.0009686033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007027485,"about_ca_topic_score_gemma":0.0006820107,"domain_scores_codex":[0.9986351,0.0004816533,0.0000662824,0.0004036268,0.0003186453,0.00009459449],"domain_scores_gemma":[0.9916636,0.005093777,0.00121352,0.0009445744,0.0008522352,0.0002323473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000787303,0.0002712293,0.1317027,0.000551255,0.0006088658,0.0008072071,0.0005591891,0.2708902,0.08234366,0.1335747,0.003433676,0.37447],"study_design_scores_gemma":[0.00004058975,0.0001194797,0.01655602,0.00003263531,0.00008120827,0.0003146202,0.0001036848,0.8085443,0.01337628,0.1583605,0.002429813,0.00004075608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1889746,0.0002104491,0.8086032,0.0002401775,0.000014301,0.00007411488,0.0004283092,0.0003932281,0.00106169],"genre_scores_gemma":[0.8362865,0.0001280007,0.1610216,0.0000938039,0.00004041002,0.000122648,0.001424329,0.0000957188,0.0007870998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002850327,"threshold_uncertainty_score":0.01507413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2204121744","doi":"10.2202/1544-6115.1626","title":"Large Sample Approximations of Probabilities of Correct Evolutionary Tree Estimation and Biases of Maximum Likelihood Estimation","year":2011,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Mathematics; Tree (set theory); Sequence (biology); Statistics; Algorithm; Maximum likelihood; Combinatorics","authors":[{"name":"Edward Susko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01604528567905189,"gpt":0.2734848523413065,"spread":0.2574395666622546,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03906464,0.0009159876,0.001633088,0.002741144,0.0008167104,0.00295089,0.002931733,0.002257151,0.002511939],"category_scores_gemma":[0.3371094,0.001115017,0.001367223,0.001871379,0.004129526,0.005757385,0.003168422,0.003582014,0.0006064409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022446,"about_ca_system_score_gemma":0.001205397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726376,"about_ca_topic_score_gemma":0.001922372,"domain_scores_codex":[0.9855033,0.00914065,0.0007418758,0.00201237,0.002090228,0.0005116132],"domain_scores_gemma":[0.6659868,0.301533,0.01100268,0.0151857,0.005401813,0.0008898741],"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":[0.0003356513,0.00006821655,0.02724352,0.0004675245,0.0003027304,0.0003821206,0.0008281768,0.6543165,0.001901523,0.2652184,0.001685008,0.04725057],"study_design_scores_gemma":[0.00002802626,0.00005023368,0.003185316,0.0001357515,0.00003354093,0.0002441313,0.0000869604,0.8233593,0.001228391,0.1703056,0.001288884,0.00005390799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08521578,0.001277058,0.9087256,0.0008343018,0.00007715622,0.00008271325,0.0001653332,0.0004545148,0.003167495],"genre_scores_gemma":[0.7699858,0.001073424,0.2245366,0.0005511639,0.0001954278,0.0004474389,0.0007571866,0.000431443,0.002021472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03906464,"threshold_uncertainty_score":0.206596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004846882","doi":"10.2202/1544-6115.1330","title":"Correcting the Estimated Level of Differential Expression for Gene Selection Bias: Application to a Microarray Study","year":2008,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Ranking (information retrieval); Statistics; Expression (computer science); Smoothing; Microarray analysis techniques; Mathematics; Gene; Biology; Gene expression; Computational biology; Computer science; Genetics; Artificial intelligence","authors":[{"name":"David R. Bickel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05901533924471216,"gpt":0.3565840099581038,"spread":0.2975686707133917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0316827,0.0008798309,0.001569559,0.001332863,0.001183439,0.001202069,0.001465128,0.002399524,0.00103041],"category_scores_gemma":[0.1231517,0.0005456156,0.001347058,0.002620879,0.001340229,0.000792984,0.000905252,0.001964919,0.0003969648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003489,"about_ca_system_score_gemma":0.001759765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003309631,"about_ca_topic_score_gemma":0.003264121,"domain_scores_codex":[0.9876251,0.008275056,0.0004784446,0.001492562,0.001921723,0.0002070999],"domain_scores_gemma":[0.894402,0.08650428,0.003279214,0.009906652,0.005513042,0.0003947528],"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":[0.001307972,0.0004546865,0.06112637,0.001143483,0.001342377,0.001146297,0.001554161,0.1867844,0.1826072,0.01478263,0.003871953,0.5438783],"study_design_scores_gemma":[0.0002507084,0.0007450518,0.04746836,0.0001421238,0.0004174195,0.001782601,0.0002172096,0.8118899,0.09861002,0.02996949,0.008216598,0.0002904615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05287579,0.0004699704,0.94415,0.0004030738,0.00014228,0.000141305,0.00009577649,0.001378031,0.0003436862],"genre_scores_gemma":[0.2445762,0.0002885339,0.7535326,0.0003169474,0.00005423393,0.0002159163,0.0001491047,0.0002584986,0.0006079957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0316827,"threshold_uncertainty_score":0.1675561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2056379515","doi":"10.2202/1544-6115.1714","title":"Adjusting for Spurious Gene-by-Environment Interaction Using Case-Parent Triads","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Spurious relationship; Locus (genetics); Sibling; Gene–environment interaction; Population stratification; Population; Econometrics; Genetics; Genotype; Statistics; Computer science; Psychology; Biology; Gene; Developmental psychology; Mathematics; Medicine; Environmental health; Single-nucleotide polymorphism","authors":[{"name":"Ji‐Hyung Shin","is_ca":true},{"name":"Claire Infante‐Rivard","is_ca":true},{"name":"Jinko Graham","is_ca":true},{"name":"Brad McNeney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02697542928099087,"gpt":0.3507347520915877,"spread":0.3237593228105968,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09836345,0.00229371,0.003569934,0.002349394,0.002363043,0.0021416,0.004750159,0.003083671,0.009428288],"category_scores_gemma":[0.1811942,0.001818289,0.004838829,0.005129412,0.001575936,0.002167306,0.003623379,0.003425011,0.0016824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002659,"about_ca_system_score_gemma":0.002553832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00535405,"about_ca_topic_score_gemma":0.007627715,"domain_scores_codex":[0.8652086,0.1155017,0.004540042,0.009673828,0.003962521,0.001113201],"domain_scores_gemma":[0.8803722,0.06558792,0.01041772,0.03874794,0.003684206,0.001190027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01107142,0.002608142,0.4395679,0.002655301,0.01819471,0.006641018,0.007303093,0.03936739,0.01209169,0.07062665,0.03321377,0.3566589],"study_design_scores_gemma":[0.008652232,0.01202711,0.2145744,0.0009950621,0.0181209,0.00885225,0.001981152,0.2877638,0.01999499,0.331182,0.09498555,0.0008705393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07368924,0.0007466068,0.9159627,0.001004804,0.0007628135,0.002751624,0.002481707,0.001372502,0.00122794],"genre_scores_gemma":[0.2901057,0.0004992991,0.6860237,0.001105657,0.0002945676,0.01363855,0.004733199,0.0005333283,0.003065958],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09836345,"threshold_uncertainty_score":0.5202019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765927438","doi":"10.1515/sagmb-2016-0062","title":"A smoothed EM-algorithm for DNA methylation profiles from sequencing-based methods in cell lines or for a single cell type","year":2017,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; McGill University; Jewish General Hospital; Université Laval","funders":"","keywords":"DNA methylation; CpG site; Biology; Computational biology; Methylation; Illumina Methylation Assay; DNA sequencing; Differentially methylated regions; DNA; Algorithm; Genetics; Computer science; Gene; Gene expression","authors":[{"name":"Lajmi Lakhal‐Chaieb","is_ca":true},{"name":"Celia M.T. Greenwood","is_ca":true},{"name":"Mohamed Ouhourane","is_ca":true},{"name":"Kaiqiong Zhao","is_ca":true},{"name":"Belkacem Abdous","is_ca":true},{"name":"Karim Oualkacha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03591201931806046,"gpt":0.3840581337548801,"spread":0.3481461144368196,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005082696,0.00108209,0.001134951,0.001070499,0.0004850247,0.00104394,0.002286294,0.001573078,0.002178726],"category_scores_gemma":[0.01654152,0.0008681576,0.001468611,0.001304589,0.0008866768,0.000980912,0.001775983,0.002480421,0.001759005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009218051,"about_ca_system_score_gemma":0.001900032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003737932,"about_ca_topic_score_gemma":0.004358888,"domain_scores_codex":[0.9987109,0.0005358519,0.00007733653,0.0003177991,0.0003073278,0.00005080573],"domain_scores_gemma":[0.9959638,0.002762744,0.000207236,0.0004878608,0.000510425,0.00006798188],"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":[0.0002941155,0.00009269341,0.003715267,0.0003583049,0.0004610921,0.0002091637,0.0002483863,0.5823209,0.02784394,0.03951722,0.003897573,0.3410412],"study_design_scores_gemma":[0.0000250684,0.00004486368,0.0007018105,0.00001906445,0.00003280663,0.000109057,0.00001655983,0.9620695,0.007176598,0.02593198,0.003841558,0.00003118417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001317188,0.00004005018,0.9981424,0.00002752364,0.000009761213,0.0000190883,0.00003333189,0.0003239602,0.00008676724],"genre_scores_gemma":[0.02419296,0.0001162337,0.9734583,0.00009431328,0.00002280804,0.0002533618,0.0005501143,0.0002798944,0.001031808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005082696,"threshold_uncertainty_score":0.0268802,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3009238540","doi":"10.1515/sagmb-2018-0026","title":"Identification of supervised and sparse functional genomic pathways","year":2020,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","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":"Identification (biology); Computational biology; Computer science; Artificial intelligence; Machine learning; Biology","authors":[{"name":"Fan Zhang","is_ca":false},{"name":"Jeffrey C. Miecznikowski","is_ca":false},{"name":"David Tritchler","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01285685133816027,"gpt":0.2431907907528628,"spread":0.2303339394147025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006256105,0.0004246546,0.0003759667,0.001336635,0.0002525351,0.0005287023,0.000560796,0.0004726814,0.0008319134],"category_scores_gemma":[0.003218122,0.0001906664,0.000449108,0.0007374707,0.0003064025,0.0005095588,0.000583301,0.0004454816,0.0001992274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878586,"about_ca_system_score_gemma":0.0006740729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870329,"about_ca_topic_score_gemma":0.003211031,"domain_scores_codex":[0.9996864,0.0001208165,0.00001419628,0.00007638983,0.00007034778,0.0000319355],"domain_scores_gemma":[0.998719,0.0006545687,0.0002165471,0.0001193609,0.0002254445,0.00006509816],"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":[0.0004169099,0.0001996605,0.0231462,0.0002133045,0.0001675722,0.0004440506,0.000298323,0.6115105,0.03630062,0.02506044,0.004434706,0.2978076],"study_design_scores_gemma":[0.000007813604,0.00001701737,0.001777434,0.000002902836,0.000005698348,0.00004100894,0.00001990073,0.988499,0.00130833,0.0079649,0.0003512645,0.000004727252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2168677,0.0001930099,0.7802683,0.0002571561,0.00001301793,0.00006268745,0.0007861137,0.0006001212,0.00095194],"genre_scores_gemma":[0.7756874,0.0001368128,0.2199613,0.00006703418,0.00003271141,0.0001001716,0.002575538,0.00005605991,0.001382881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001870329,"threshold_uncertainty_score":0.003718913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2237023490","doi":"10.2202/1544-6115.1417","title":"A Multivariate Growth Curve Model for Ranking Genes in Replicated Time Course Microarray Data","year":2009,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Multivariate statistics; Ranking (information retrieval); Time point; Inference; Computer science; Statistics; Expression (computer science); Mathematics; Data mining; Artificial intelligence","authors":[{"name":"Jemila S. Hamid","is_ca":true},{"name":"Joseph Beyene","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02312550176236677,"gpt":0.3487259521920755,"spread":0.3256004504297088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0148741,0.001546025,0.002611077,0.002580754,0.0006351807,0.001509688,0.00343114,0.002039339,0.002418058],"category_scores_gemma":[0.03192893,0.0007301132,0.002573928,0.003548737,0.001796036,0.002433884,0.001252002,0.003315968,0.001453637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370989,"about_ca_system_score_gemma":0.001806726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00769631,"about_ca_topic_score_gemma":0.005580897,"domain_scores_codex":[0.9939366,0.002980825,0.0002503987,0.001218777,0.001181063,0.0004324254],"domain_scores_gemma":[0.977788,0.01493445,0.002488687,0.002051974,0.00223805,0.0004987704],"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":[0.0008920149,0.000213336,0.009985759,0.0001976727,0.00026664,0.0003053794,0.0002801135,0.8263787,0.01230032,0.05030157,0.002700434,0.09617811],"study_design_scores_gemma":[0.00002670227,0.0000822123,0.001744958,0.000007255719,0.00002359876,0.00005015081,0.00001603575,0.9838935,0.001037982,0.01240654,0.000672437,0.00003857894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02963286,0.0002071494,0.968055,0.0003189356,0.00002906145,0.0001257799,0.0005428636,0.0007003383,0.0003881011],"genre_scores_gemma":[0.5006599,0.0007591663,0.4829366,0.0003543075,0.0001527238,0.001688315,0.004248186,0.0004933198,0.00870748],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0148741,"threshold_uncertainty_score":0.07866269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1988729528","doi":"10.2202/1544-6115.1231","title":"Examining Protein Structure and Similarities by Spectral Analysis Technique","year":2006,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Envelope (radar); Phylogenetic tree; Similarity (geometry); Categorical variable; Pattern recognition (psychology); Covariance; Spectral envelope; Tree (set theory); Spectral analysis; Mathematics; Computer science; Artificial intelligence; Biological system; Algorithm; Computational biology; Biology; Physics; Statistics; Speech recognition; Genetics; Combinatorics; Gene","authors":[{"name":"Krista Collins","is_ca":true},{"name":"Hong Gu","is_ca":false},{"name":"Chris Field","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004220009621446441,"gpt":0.2528951948541253,"spread":0.2486751852326788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007473664,0.0002066811,0.0003159223,0.004740464,0.0003913588,0.0005822984,0.0002443495,0.0003702304,0.002086072],"category_scores_gemma":[0.003680031,0.0001444688,0.0003687894,0.003000345,0.0005550383,0.001033135,0.0005670097,0.0004334652,0.0005097064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267849,"about_ca_system_score_gemma":0.0002314727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000516528,"about_ca_topic_score_gemma":0.0003754624,"domain_scores_codex":[0.9995055,0.0001098882,0.00003083681,0.00008962618,0.0002101233,0.00005394149],"domain_scores_gemma":[0.9982433,0.0008793358,0.0003163555,0.0001706208,0.0003300515,0.00006029263],"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":[0.0006759603,0.0003152469,0.057303,0.0003900533,0.0002619982,0.0006655942,0.001806721,0.03490857,0.4110255,0.04226445,0.002452556,0.4479302],"study_design_scores_gemma":[0.00004868461,0.000487415,0.2324207,0.00007454612,0.0001568426,0.002883434,0.001603023,0.5964487,0.09042312,0.06399044,0.01131309,0.000150045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5497692,0.0004774561,0.4425511,0.0001262355,0.0000319725,0.00009443094,0.0004265154,0.0007945109,0.005728734],"genre_scores_gemma":[0.8222702,0.0001794244,0.1763164,0.00002024641,0.00002330825,0.00007130053,0.0003856019,0.00006485501,0.0006685919],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004740464,"threshold_uncertainty_score":0.006978631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2206438750","doi":"10.2202/1544-6115.1270","title":"Case-Control Inference of Interaction between Genetic and Nongenetic Risk Factors under Assumptions on Their Distribution","year":2007,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Inference; Estimator; Statistical inference; Econometrics; Logistic regression; Conditional independence; Covariate; Independence (probability theory); Statistics; Genetic model; Mathematics; Computer science; Artificial intelligence; Biology","authors":[{"name":"Ji‐Hyung Shin","is_ca":true},{"name":"Brad McNeney","is_ca":false},{"name":"Jinko Graham","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01723949161786159,"gpt":0.3269753908443433,"spread":0.3097358992264818,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09872241,0.001327829,0.003685805,0.002803483,0.001346289,0.002766921,0.005477227,0.003270936,0.008101815],"category_scores_gemma":[0.3051572,0.001452821,0.003065221,0.002610958,0.004333742,0.004368745,0.003071758,0.003351917,0.0008684182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323525,"about_ca_system_score_gemma":0.002098641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003884102,"about_ca_topic_score_gemma":0.002033351,"domain_scores_codex":[0.9552237,0.02924112,0.002456626,0.00819251,0.003951244,0.0009347818],"domain_scores_gemma":[0.787126,0.1850836,0.006459721,0.01767859,0.002881594,0.0007704103],"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":[0.00160931,0.0006469706,0.06026746,0.0004972078,0.002101262,0.002376109,0.001059029,0.1206824,0.002343405,0.6727201,0.00403833,0.1316584],"study_design_scores_gemma":[0.0005451398,0.0002619896,0.009226365,0.0001423786,0.0005325619,0.001001562,0.0001189008,0.4606681,0.001914604,0.522283,0.003216943,0.00008840769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01952181,0.0003363136,0.9778721,0.0003373579,0.00008396822,0.0001846673,0.0002586652,0.0002271802,0.001177973],"genre_scores_gemma":[0.5521528,0.001028465,0.4385496,0.001052864,0.0003037102,0.00168703,0.001732157,0.0001798417,0.00331354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09872241,"threshold_uncertainty_score":0.5221002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790219140","doi":"10.1515/sagmb-2017-0038","title":"Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting","year":2018,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Dental and Craniofacial Research; National Institute of Allergy and Infectious Diseases; National Cancer Institute; Russian Science Foundation; National Institute of General Medical Sciences; McGill University","keywords":"Pairwise comparison; Estimator; Statistics; Econometrics; Event (particle physics); Survival analysis; Computer science; Mathematics","authors":[{"name":"Jean‐Eudes Dazard","is_ca":false},{"name":"Hemant Ishwaran","is_ca":false},{"name":"Rajeev K. Mehlotra","is_ca":false},{"name":"Aaron Weinberg","is_ca":false},{"name":"Peter A. Zimmerman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0340043625606339,"gpt":0.3653166897184663,"spread":0.3313123271578324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01048703,0.001181375,0.001651759,0.001636461,0.0005817766,0.001045073,0.001882845,0.001174241,0.002550803],"category_scores_gemma":[0.02441923,0.0004541542,0.00185113,0.001453627,0.0008492347,0.001293078,0.001469022,0.002114665,0.0003837128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005715821,"about_ca_system_score_gemma":0.001192014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003622697,"about_ca_topic_score_gemma":0.003879929,"domain_scores_codex":[0.99707,0.002133934,0.0000940337,0.000337608,0.0001908041,0.0001736613],"domain_scores_gemma":[0.9798575,0.01675739,0.001277861,0.001039015,0.0006485352,0.0004196713],"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":[0.0002922513,0.000128354,0.02652097,0.000161176,0.0005690035,0.0003069762,0.0002050825,0.8284202,0.001064646,0.07389516,0.002705123,0.06573106],"study_design_scores_gemma":[0.000009963547,0.00003848357,0.0008352993,0.00001135371,0.00004216855,0.00003219096,0.000009685446,0.9733418,0.0001049189,0.0251892,0.0003756616,0.000009343762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03497349,0.0004192632,0.9632035,0.000266256,0.00006318336,0.00004209569,0.0003997335,0.0002475527,0.0003849453],"genre_scores_gemma":[0.7815741,0.001042954,0.2108094,0.0003429176,0.0002901145,0.0006235421,0.002348504,0.0001623963,0.002805941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01048703,"threshold_uncertainty_score":0.05546141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3082808948","doi":"10.1515/sagmb-2019-0058","title":"Spectral dynamic causal modelling of resting-state fMRI: an exploratory study relating effective brain connectivity in the default mode network to genetics","year":2020,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; Simon Fraser University","funders":"Canadian Statistical Sciences Institute; National Institute on Aging; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense","keywords":"Default mode network; Imaging genetics; Neuroimaging; Functional magnetic resonance imaging; Context (archaeology); Resting state fMRI; Single-nucleotide polymorphism; Alzheimer's Disease Neuroimaging Initiative; Psychology; Neuroscience; Genetics; Biology; Cognition; Genotype","authors":[{"name":"Yunlong Nie","is_ca":true},{"name":"Eugene A. Opoku","is_ca":true},{"name":"Laila Yasmin","is_ca":true},{"name":"Yin Song","is_ca":true},{"name":"Jie Wang","is_ca":true},{"name":"Sidi Wu","is_ca":true},{"name":"Vanessa Scarapicchia","is_ca":true},{"name":"Jodie R. Gawryluk","is_ca":true},{"name":"Liangliang Wang","is_ca":true},{"name":"Jiguo Cao","is_ca":true},{"name":"Farouk S. Nathoo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03760839718825871,"gpt":0.3276621817974205,"spread":0.2900537846091618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005233457,0.0005873389,0.0004680032,0.0009916929,0.000389581,0.0004849582,0.0007839891,0.000614025,0.0009332884],"category_scores_gemma":[0.02498281,0.0002578431,0.001040958,0.000712088,0.0008787471,0.0008182602,0.0006163459,0.0006155809,0.00008816956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199467,"about_ca_system_score_gemma":0.0006450388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004650391,"about_ca_topic_score_gemma":0.004877167,"domain_scores_codex":[0.9981693,0.001453148,0.00002850528,0.0002217365,0.00006849914,0.00005873095],"domain_scores_gemma":[0.9774909,0.02030404,0.0007253893,0.001019607,0.0002850285,0.0001750981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001206968,0.000980629,0.4194445,0.0002472835,0.001995011,0.0023199,0.002268757,0.4126526,0.02422126,0.04711869,0.0008440492,0.08670035],"study_design_scores_gemma":[0.00006514318,0.0004377827,0.1238727,0.00002244831,0.0002495698,0.0006328217,0.0002914769,0.8359257,0.002671069,0.0350846,0.0006902091,0.00005648845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8926638,0.0001133697,0.1064384,0.0001989003,0.000003334799,0.00002963748,0.0001085602,0.00006965716,0.0003743502],"genre_scores_gemma":[0.9724032,0.00004910578,0.02712873,0.00002294896,0.000008698714,0.00004323671,0.0001523165,0.00001960979,0.0001721435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005233457,"threshold_uncertainty_score":0.02767748,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1497520349","doi":"10.2202/1544-6115.1151","title":"Hierarchical Inverse Gaussian Models and Multiple Testing: Application to Gene Expression Data","year":2005,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Inverse Gaussian distribution; Computational biology; Expression (computer science); Computer science; Gaussian; Mathematics; Statistics; Biology; Physics; Mathematical analysis","authors":[{"name":"Aurélie Labbe","is_ca":true},{"name":"Mary E. Thompson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03209668385080837,"gpt":0.3265770549958402,"spread":0.2944803711450318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02549575,0.001832977,0.002549288,0.003083572,0.001109675,0.001648782,0.003932793,0.00357902,0.002663286],"category_scores_gemma":[0.07762612,0.0008542321,0.003117891,0.006131545,0.004928727,0.002606352,0.003379661,0.004577142,0.001020911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140137,"about_ca_system_score_gemma":0.00277786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0067546,"about_ca_topic_score_gemma":0.00523094,"domain_scores_codex":[0.9779589,0.01687267,0.000515209,0.001627243,0.002517572,0.0005083773],"domain_scores_gemma":[0.9276139,0.06564517,0.002196049,0.002432031,0.00168241,0.0004305114],"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":[0.0001576948,0.0001197859,0.004255762,0.0005029201,0.0004700371,0.0009807238,0.0007439198,0.2814543,0.001790561,0.5525315,0.004477671,0.1525152],"study_design_scores_gemma":[0.00002468274,0.00004555785,0.0007401543,0.00003003395,0.00003069251,0.000242388,0.00005316301,0.608225,0.0003754265,0.3878586,0.002338827,0.00003534031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001684003,0.0004354275,0.9970156,0.0002558005,0.00003519007,0.00002906094,0.00003670355,0.0001868342,0.0003214589],"genre_scores_gemma":[0.1172916,0.001882389,0.8767038,0.0005124715,0.0004530739,0.0006637316,0.0002811588,0.0002400671,0.001971671],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02549575,"threshold_uncertainty_score":0.134836,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W168874597","doi":"10.1515/sagmb-2013-0035","title":"Estimation of weighted log partial area under the ROC curve and its application to MicroRNA expression data","year":2013,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"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; Canadian Institutes of Health Research","keywords":"Statistic; Receiver operating characteristic; microRNA; Ranking (information retrieval); Computer science; Data mining; Rank (graph theory); Expression (computer science); Variance (accounting); Coding (social sciences); Mathematics; Statistics; Computational biology; Algorithm; Artificial intelligence; Biology; Genetics","authors":[{"name":"Ahmed Hossain","is_ca":true},{"name":"Joseph Beyene","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01287513946111128,"gpt":0.3007640184901159,"spread":0.2878888790290046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02120351,0.001196256,0.001953906,0.004883121,0.0004339317,0.001620603,0.001308745,0.001514101,0.0008080339],"category_scores_gemma":[0.08469466,0.0003882017,0.001727799,0.003400062,0.001106632,0.001524645,0.001257571,0.001158598,0.0004805342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005619943,"about_ca_system_score_gemma":0.001060193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209463,"about_ca_topic_score_gemma":0.0006017204,"domain_scores_codex":[0.9807092,0.01479424,0.0008637332,0.001345181,0.001990742,0.0002969304],"domain_scores_gemma":[0.9216683,0.0654156,0.004926357,0.003471491,0.004077848,0.0004404432],"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":[0.001085134,0.0002446964,0.04013426,0.000800052,0.001211356,0.0007364979,0.0004435745,0.4469641,0.01159018,0.01366577,0.003330709,0.4797937],"study_design_scores_gemma":[0.00003478668,0.0003640184,0.008605796,0.00003117285,0.00008179451,0.0006076983,0.00007918276,0.977469,0.002699923,0.008669269,0.001257484,0.00009977548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0318834,0.0006109308,0.9656842,0.0001550576,0.00002807852,0.0001017902,0.0001904547,0.0009833697,0.0003628584],"genre_scores_gemma":[0.5303046,0.0004950229,0.4669933,0.0001257887,0.0001054802,0.0005418672,0.0007724959,0.0002589596,0.0004025295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02120351,"threshold_uncertainty_score":0.1121362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005834841","doi":"10.1515/sagmb-2013-0023","title":"A data-smoothing approach to explore and test gene-environment interaction in case-parent trios","year":2014,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","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; Simon Fraser University","funders":"","keywords":"Trait; Smoothing; Statistical hypothesis testing; Gene–environment interaction; Gene; Computational biology; Econometrics; Computer science; Statistics; Genetics; Psychology; Biology; Mathematics","authors":[{"name":"Ji‐Hyung Shin","is_ca":true},{"name":"Claire Infante‐Rivard","is_ca":true},{"name":"Brad McNeney","is_ca":true},{"name":"Jinko Graham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04238394522881148,"gpt":0.3090808315913631,"spread":0.2666968863625516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04151931,0.001079799,0.001416024,0.003965207,0.001622819,0.001439752,0.00311805,0.002577468,0.005171729],"category_scores_gemma":[0.1282921,0.000703252,0.003097281,0.004206816,0.002422225,0.001622639,0.002317079,0.003817336,0.0005643478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000815825,"about_ca_system_score_gemma":0.001485784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435901,"about_ca_topic_score_gemma":0.002804385,"domain_scores_codex":[0.9717863,0.02136285,0.001327225,0.002861409,0.002326195,0.0003360537],"domain_scores_gemma":[0.8623851,0.1128082,0.005494242,0.01556703,0.002753145,0.0009922483],"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":[0.002108617,0.001191829,0.1146438,0.001017659,0.004633613,0.003230204,0.004893783,0.1378661,0.02717603,0.120115,0.00739602,0.5757273],"study_design_scores_gemma":[0.000366694,0.001270172,0.03197633,0.0001070853,0.0005317722,0.001508491,0.0007012521,0.7932445,0.008350224,0.1509392,0.01074139,0.0002628901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02475184,0.00006838673,0.973169,0.0001976678,0.00004120837,0.0002646114,0.0002775009,0.000885058,0.0003446942],"genre_scores_gemma":[0.1891515,0.00006345451,0.8077866,0.0001530623,0.00003687293,0.001324232,0.0007548562,0.0001902598,0.0005391834],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04151931,"threshold_uncertainty_score":0.2195777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W129429178","doi":"10.1515/sagmb-2014-0033","title":"Testing genotypes-phenotype relationships using permutation tests on association rules","year":2015,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Permutation (music); Association (psychology); Genotype; Phenotype; Genetics; Statistics; Biology; Computational biology; Mathematics; Psychology; Gene","authors":[{"name":"Mateen Shaikh","is_ca":true},{"name":"Joseph Beyene","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05919948829962234,"gpt":0.3348230361806239,"spread":0.2756235478810015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03691365,0.0009714646,0.00163713,0.002900466,0.001230684,0.002288763,0.002877102,0.001522127,0.005226892],"category_scores_gemma":[0.206745,0.0005086401,0.003063523,0.003348683,0.00345753,0.003104959,0.002334596,0.003539366,0.0006329064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826365,"about_ca_system_score_gemma":0.002249324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881502,"about_ca_topic_score_gemma":0.001428196,"domain_scores_codex":[0.9501219,0.03587386,0.002456016,0.006390003,0.004171525,0.0009868196],"domain_scores_gemma":[0.6323393,0.3407745,0.006138482,0.01715982,0.002609078,0.0009788595],"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":[0.004115601,0.001862209,0.2951326,0.0006448064,0.007640194,0.004073946,0.001623975,0.07872059,0.009540447,0.09787232,0.005078576,0.4936947],"study_design_scores_gemma":[0.000816456,0.002720255,0.05053212,0.00009099,0.0009123969,0.001915387,0.0006097947,0.6182658,0.005592295,0.3151847,0.003224558,0.0001353457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2633063,0.0001722316,0.7299737,0.001086375,0.0002022744,0.0004261898,0.0009735951,0.0008509184,0.003008447],"genre_scores_gemma":[0.8362489,0.00009266233,0.1608502,0.0002500371,0.000101295,0.0007100942,0.0009567695,0.00009452409,0.0006956017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03691365,"threshold_uncertainty_score":0.1952204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2322448335","doi":"10.1515/sagmb-2015-0056","title":"On the validity of within-nuclear-family genetic association analysis in samples of extended families","year":2015,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Nuclear family; Estimator; Inference; Statistics; Logistic regression; Variance (accounting); Econometrics; Linkage (software); Mathematics; Genetics; Biology; Computer science; Artificial intelligence; Gene","authors":[{"name":"Alexandre Bureau","is_ca":false},{"name":"Thierry Duchesne","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02437324185703362,"gpt":0.3070305004537845,"spread":0.2826572585967509,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2888547,0.001015302,0.002950326,0.002422076,0.00295677,0.003871843,0.00517114,0.002619931,0.002399778],"category_scores_gemma":[0.6198964,0.0008991358,0.003599513,0.003170165,0.01277937,0.005396171,0.004863587,0.003658224,0.0006315699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009117099,"about_ca_system_score_gemma":0.002480985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005278083,"about_ca_topic_score_gemma":0.003292785,"domain_scores_codex":[0.7484643,0.2178349,0.005768623,0.01737011,0.008866998,0.001695098],"domain_scores_gemma":[0.2042393,0.7209378,0.01005938,0.05643155,0.006674487,0.00165747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004281454,0.0003177715,0.6950614,0.001085151,0.007802698,0.002817909,0.004960988,0.08520418,0.00275204,0.08760668,0.003380933,0.1047288],"study_design_scores_gemma":[0.0009976458,0.001963521,0.1962704,0.001167162,0.003028094,0.003562597,0.002959501,0.513397,0.004217493,0.2630506,0.009094924,0.0002911289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.407882,0.002993349,0.5768481,0.003829284,0.0005795652,0.000453793,0.0007596826,0.0004434881,0.006210695],"genre_scores_gemma":[0.9178026,0.000555476,0.07806695,0.001005982,0.0002892446,0.0003921048,0.0009731918,0.0002126487,0.0007017771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2888547,"threshold_uncertainty_score":0.8769687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1485154922","doi":"10.2202/1544-6115.1289","title":"Pattern Classification of Phylogeny Signals","year":2008,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Cluster analysis; Concatenation (mathematics); Phylogenetics; Phylogenetic tree; Entropy (arrow of time); Pattern recognition (psychology); Artificial intelligence; Computer science; Computational biology; Mathematics; Data mining; Gene; Biology; Genetics; Combinatorics; Physics","authors":[{"name":"Xiaofei Shi","is_ca":true},{"name":"Hong Gu","is_ca":true},{"name":"Chris Field","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01793186503460508,"gpt":0.3085976421761609,"spread":0.2906657771415558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008671953,0.000530686,0.0007150584,0.003581759,0.0005964931,0.001239531,0.0008209266,0.000933445,0.002028601],"category_scores_gemma":[0.004387545,0.0002910705,0.0006052254,0.002482149,0.0008616307,0.001525603,0.0007689229,0.0009016125,0.000916915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006375934,"about_ca_system_score_gemma":0.0004741091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294687,"about_ca_topic_score_gemma":0.0009501776,"domain_scores_codex":[0.9990321,0.0002040224,0.0000671608,0.0002957246,0.0002771392,0.0001238281],"domain_scores_gemma":[0.9981195,0.0007379922,0.0002637965,0.000230938,0.0005366346,0.0001110573],"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":[0.0005520644,0.0001296926,0.02874735,0.0006054291,0.0001416664,0.0005152222,0.0006673164,0.05775891,0.08739828,0.03869421,0.005107166,0.7796826],"study_design_scores_gemma":[0.00004265365,0.0001902443,0.03554759,0.0001219141,0.0001048717,0.0007307026,0.0004478722,0.84116,0.02430346,0.0839595,0.01329569,0.00009552848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1355328,0.001134361,0.8568444,0.0005972933,0.0001265329,0.0001138172,0.0006285523,0.000801275,0.004220877],"genre_scores_gemma":[0.709108,0.0008049737,0.2848094,0.0001777231,0.0001634253,0.0001425051,0.001881895,0.0002031584,0.002708888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003581759,"threshold_uncertainty_score":0.006786406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2265464824","doi":"10.1515/1544-6115.1818","title":"An Order Estimation Based Approach to Identify Response Genes for Microarray Time Course Data","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Gene; Context (archaeology); Microarray analysis techniques; Biology; Microarray; Computational biology; DNA microarray; Gene regulatory network; Genetics; Genome; Gene expression","authors":[{"name":"Zhiheng K Lu","is_ca":false},{"name":"Anthony F. Desmond","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02498134004362785,"gpt":0.3885976204653775,"spread":0.3636162804217496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002920666,0.001660246,0.001897667,0.0025951,0.0006139468,0.001165462,0.001587572,0.001739886,0.002696184],"category_scores_gemma":[0.007527269,0.001087762,0.002579042,0.001937394,0.0006877689,0.000902166,0.0008601074,0.002840168,0.001976168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338295,"about_ca_system_score_gemma":0.001683827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00599344,"about_ca_topic_score_gemma":0.005807758,"domain_scores_codex":[0.9978791,0.000704275,0.0001689452,0.0006100811,0.0004481228,0.0001894684],"domain_scores_gemma":[0.9934447,0.005123418,0.0004441872,0.0003904678,0.0004836251,0.0001135218],"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":[0.0009613837,0.0005592947,0.009776699,0.0008568947,0.000505652,0.0004184891,0.0004853697,0.3820812,0.0696906,0.01856027,0.003530845,0.5125732],"study_design_scores_gemma":[0.00002666051,0.0001015305,0.002364625,0.00002250772,0.00006690317,0.00007609865,0.00003259649,0.9755917,0.005554432,0.01409146,0.002023618,0.00004768431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004541771,0.0002059445,0.9939203,0.00006245566,0.00002265692,0.00007417656,0.0002238633,0.0007584178,0.0001904742],"genre_scores_gemma":[0.1199374,0.00053929,0.8727872,0.0001725464,0.0001404877,0.0007339742,0.002308139,0.0004118826,0.002969056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00599344,"threshold_uncertainty_score":0.01544619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2505409898","doi":"10.2202/1544-6115.1295","title":"Multiple Testing Issues in Discriminating Compound-Related Peaks and Chromatograms from High Frequency Noise, Spikes and Solvent-Based Noise in LC - MS Data Sets","year":2007,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"False positive paradox; Noise (video); Chromatography; Sample (material); Chemistry; Pattern recognition (psychology); Computer science; Artificial intelligence","authors":[{"name":"Stephen Nyangoma","is_ca":false},{"name":"Antoine A.H.C. van Kampen","is_ca":true},{"name":"Theo Reijmers","is_ca":false},{"name":"Natalia Govorukhina","is_ca":false},{"name":"Ate G.J. van der Zee","is_ca":false},{"name":"Lucinda Billingham","is_ca":false},{"name":"Rainer Bischoff","is_ca":false},{"name":"Ritsert C. Jansen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02295802702644015,"gpt":0.3317837427468998,"spread":0.3088257157204596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1633948,0.001796622,0.003374423,0.003451063,0.002198348,0.005406762,0.006021343,0.006062792,0.001288408],"category_scores_gemma":[0.3869982,0.001183531,0.00291403,0.004639051,0.01103412,0.004724009,0.004069473,0.006767292,0.0003711697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579463,"about_ca_system_score_gemma":0.002241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716129,"about_ca_topic_score_gemma":0.001757661,"domain_scores_codex":[0.7173669,0.1938784,0.02200031,0.03032924,0.0337718,0.002653413],"domain_scores_gemma":[0.3974278,0.5536463,0.0154852,0.02103924,0.01096879,0.001432654],"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":[0.00794422,0.001133961,0.1614013,0.005592756,0.007482152,0.01739812,0.005769212,0.03371497,0.0403951,0.09532016,0.01005403,0.613794],"study_design_scores_gemma":[0.001004444,0.005601242,0.1192434,0.001629489,0.00186929,0.01282712,0.002997292,0.2497996,0.05377639,0.5259645,0.02469706,0.0005902739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05858895,0.003345098,0.9271002,0.005429694,0.001006014,0.0009322729,0.000380372,0.001070873,0.002146574],"genre_scores_gemma":[0.4228492,0.0008421154,0.5677662,0.003368031,0.001140208,0.002271873,0.0005428176,0.0003468526,0.0008726528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1633948,"threshold_uncertainty_score":0.8641245,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2738214912","doi":"10.1515/sagmb-2016-0066","title":"Comparing the performance of linear and nonlinear principal components in the context of high-dimensional genomic data integration","year":2017,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hamilton Health Sciences; Impact; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Context (archaeology); Principal component analysis; Nonlinear system; Computer science; Mathematics; Data mining; Statistics; Econometrics; Biology; Physics","authors":[{"name":"Shofiqul Islam","is_ca":true},{"name":"Sonia S. Anand","is_ca":true},{"name":"Jemila S. Hamid","is_ca":true},{"name":"Lehana Thabane","is_ca":true},{"name":"Joseph Beyene","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04208724528262083,"gpt":0.3307104930972203,"spread":0.2886232478145995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01391437,0.001028855,0.001262363,0.002077875,0.0005836725,0.002118653,0.0008285689,0.001279789,0.0005863505],"category_scores_gemma":[0.0514208,0.0003053885,0.001198985,0.002573815,0.000894464,0.001925613,0.001463539,0.0009777369,0.0004514914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009333774,"about_ca_system_score_gemma":0.001597679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005721538,"about_ca_topic_score_gemma":0.003641086,"domain_scores_codex":[0.9943862,0.003684128,0.0003925893,0.000544982,0.0007578458,0.0002342654],"domain_scores_gemma":[0.9602357,0.03244295,0.001131318,0.002364448,0.003377623,0.0004480602],"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":[0.003033917,0.0004631382,0.04224616,0.0006662891,0.0008036068,0.0002022919,0.0004395696,0.6800622,0.007820465,0.004745044,0.001501716,0.2580155],"study_design_scores_gemma":[0.0000342015,0.0002104122,0.01012983,0.00002432492,0.00005453487,0.00005450268,0.00009652197,0.9836267,0.003455581,0.001940739,0.0003388042,0.00003398065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6525199,0.003427099,0.3387174,0.000851325,0.0001342566,0.0002552199,0.0003483712,0.001528226,0.002218123],"genre_scores_gemma":[0.8494344,0.0008221139,0.1477042,0.00007049441,0.00003593614,0.0001289637,0.001009379,0.0001472587,0.0006471745],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01391437,"threshold_uncertainty_score":0.07358712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2056036270","doi":"10.2202/1544-6115.1759","title":"Special Issue on Computational Statistical Methods for Genomics and Systems Biology","year":2012,"lang":"en","type":"editorial","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"","keywords":"Genomics; Computational genomics; Systems biology; Computational biology; Genome Biology; Biology; Statistical analysis; Data science; Computer science; Genome; Genetics; Mathematics; Statistics","authors":[{"name":"Aurélie Labbe","is_ca":true},{"name":"Sandrine Dudoit","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01423726564726081,"gpt":0.3863427278049875,"spread":0.3721054621577267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00993602,0.003294144,0.004216931,0.005013782,0.002112451,0.006832013,0.002671119,0.005934925,0.03702068],"category_scores_gemma":[0.02867734,0.0009780043,0.002360036,0.002412153,0.002260798,0.003980978,0.001574109,0.01431284,0.02385218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002585634,"about_ca_system_score_gemma":0.003356082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049684,"about_ca_topic_score_gemma":0.003325385,"domain_scores_codex":[0.9926535,0.001586345,0.0008321342,0.0009267651,0.003668729,0.000332564],"domain_scores_gemma":[0.9608137,0.01881299,0.001927185,0.001202011,0.01345711,0.003787063],"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":[0.00001804471,0.000007458465,0.00001498548,0.0001603197,0.00001421139,0.00002381916,0.000005934249,0.00003107495,0.00004823874,0.0005356686,0.993937,0.005203445],"study_design_scores_gemma":[0.00003242139,0.00001600062,0.0001960795,0.0002863955,0.00003074247,0.000136745,0.00001155159,0.0002651766,0.00008845642,0.002587614,0.9963348,0.00001394784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002415346,0.009614413,0.001096001,0.02096541,0.9650962,0.00002530633,0.0001801535,0.0001410197,0.002857382],"genre_scores_gemma":[0.0003242606,0.005154919,0.000576155,0.007846083,0.9719068,0.00004729788,0.0001271669,0.0001910953,0.01382632],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03702068,"threshold_uncertainty_score":0.1238465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385969104","doi":"10.1515/sagmb-2023-0017","title":"CAT PETR: a graphical user interface for differential analysis of phosphorylation and expression data","year":2023,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Kinexus Bioinformatics Corporation (Canada); University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Visualization; Computer science; Graphical user interface; Data mining; Data visualization; User interface; Operating system","authors":[{"name":"Keegan Flanagan","is_ca":true},{"name":"Steven Pelech","is_ca":true},{"name":"Yossef Av‐Gay","is_ca":true},{"name":"Khanh Dao Duc","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01634073589515513,"gpt":0.3619673971594491,"spread":0.345626661264294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002375677,0.001592343,0.0009998054,0.00213935,0.0002975276,0.001198855,0.001793214,0.001151095,0.04491477],"category_scores_gemma":[0.006893799,0.0006023647,0.001244645,0.001368735,0.0004136579,0.001282544,0.002009164,0.001706053,0.01407934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543879,"about_ca_system_score_gemma":0.0009487018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008888355,"about_ca_topic_score_gemma":0.001037497,"domain_scores_codex":[0.9988918,0.0002480532,0.0001170673,0.0001746543,0.0004688567,0.00009973476],"domain_scores_gemma":[0.9961417,0.002487399,0.0001871677,0.000314082,0.0006715026,0.0001981115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003729237,0.0004328355,0.00667445,0.003190012,0.000674749,0.002250583,0.0008175742,0.00763271,0.1260754,0.01139207,0.4585083,0.378622],"study_design_scores_gemma":[0.001220445,0.0006533655,0.01791337,0.0005751968,0.0003177619,0.003909578,0.0002042148,0.3095732,0.1492845,0.02445723,0.4912693,0.0006217404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005535073,0.0003203237,0.5123538,0.0003266415,0.000208472,0.0002965433,0.01232149,0.4652759,0.003361664],"genre_scores_gemma":[0.1051207,0.001143204,0.7584305,0.00248198,0.0003042925,0.004378542,0.03355406,0.07783674,0.01674998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04491477,"threshold_uncertainty_score":0.1502548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2563004743","doi":"10.1515/sagmb-2015-0096","title":"Statistical models and computational algorithms for discovering relationships in microbiome data","year":2016,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"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; Canadian Institutes of Health Research","keywords":"Microbiome; Human microbiome; Multinomial distribution; Computer science; Human Microbiome Project; Human health; Dirichlet distribution; Computational biology; Data science; Biology; Bioinformatics; Statistics; Mathematics","authors":[{"name":"Mateen Shaikh","is_ca":true},{"name":"Joseph Beyene","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05676287330995345,"gpt":0.3576809279288802,"spread":0.3009180546189267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01729984,0.002486688,0.002971698,0.006682119,0.001625452,0.004450312,0.005860172,0.00378185,0.002051857],"category_scores_gemma":[0.07614183,0.002532619,0.0038722,0.00842931,0.003420764,0.006439539,0.004452058,0.006805894,0.001341634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002394522,"about_ca_system_score_gemma":0.003280565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008243064,"about_ca_topic_score_gemma":0.007627701,"domain_scores_codex":[0.9891101,0.006801759,0.0007371817,0.001385706,0.001703694,0.0002615773],"domain_scores_gemma":[0.916829,0.07560642,0.002403157,0.002788619,0.001810494,0.0005622405],"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":[0.0001501755,0.0002237443,0.005168065,0.0004955646,0.0004317054,0.0001916254,0.0003496869,0.7212786,0.0006449348,0.1069499,0.005489846,0.1586261],"study_design_scores_gemma":[0.00001432018,0.00001340835,0.000170714,0.00002522712,0.00001308641,0.00003014915,0.00002061095,0.8807819,0.0001245022,0.1180479,0.0007416502,0.00001646623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002826034,0.0008332428,0.9946754,0.0005656721,0.00003379058,0.00005573203,0.0002552727,0.0005230182,0.0002317949],"genre_scores_gemma":[0.0671504,0.001973846,0.9258616,0.0003655652,0.0003507154,0.0008929105,0.002128525,0.0002626539,0.001013755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01729984,"threshold_uncertainty_score":0.0914914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2326733347","doi":"10.1515/sagmb-2014-0100","title":"Corrigendum to: Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions","year":2015,"lang":"en","type":"erratum","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ottawa Public Health; University of Ottawa","funders":"","keywords":"Estimator; Simple (philosophy); Parametric statistics; Econometrics; Mathematics; Statistics; Parametric model; Applied mathematics; Philosophy; Epistemology","authors":[{"name":"David R. Bickel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2888264089124639,"gpt":0.5600055300892997,"spread":0.2711791211768357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006883921,0.002896011,0.003117624,0.005821174,0.00262761,0.004050422,0.004864129,0.006734446,0.06340228],"category_scores_gemma":[0.1172073,0.001834397,0.001839134,0.004205415,0.002990478,0.003355317,0.002050579,0.01096848,0.06254078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004700074,"about_ca_system_score_gemma":0.005417639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524705,"about_ca_topic_score_gemma":0.02797142,"domain_scores_codex":[0.9926383,0.001714589,0.001430017,0.0009076083,0.003005318,0.0003040983],"domain_scores_gemma":[0.9410205,0.01906674,0.002173168,0.004764791,0.03167594,0.001298926],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001046924,0.000006685827,0.00002638434,0.0000912641,0.000007615165,0.00006238092,0.000008849699,0.00008835815,0.00002487725,0.001475989,0.9905701,0.007627125],"study_design_scores_gemma":[0.00003729219,0.00003641165,0.0008102303,0.0003535351,0.00005399856,0.0004470625,0.00003548364,0.001379877,0.0003861988,0.01194029,0.9844469,0.00007276564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008642209,0.002459025,0.005839121,0.03648345,0.9463474,0.00005301262,0.001317172,0.0008462603,0.006568147],"genre_scores_gemma":[0.007680857,0.0125457,0.03149796,0.1153605,0.3880495,0.0005770546,0.004256735,0.00358549,0.4364463],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9931161,"threshold_uncertainty_score":0.2121018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7129040716","doi":"10.1515/sagmb-2025-0043","title":"Perfect collinearity not created equal: measuring and visualizing the severity of multi-collinearity of modern omics data","year":2025,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Ontario; University of Toronto; St. Joseph’s Healthcare Hamilton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Collinearity; Redundancy (engineering); Statistical model; Linkage disequilibrium; Linkage (software); Selection (genetic algorithm); Contrast (vision); Multicollinearity; Disequilibrium","authors":[{"name":"Wei Q. Deng","is_ca":true},{"name":"Radu V. Craiu","is_ca":true},{"name":"Lei Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03285082144057044,"gpt":0.3393574296199837,"spread":0.3065066081794133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003728927,0.0006213259,0.0005032938,0.005471744,0.0005570626,0.002702741,0.0004045739,0.0004347959,0.001351283],"category_scores_gemma":[0.01272567,0.0002336368,0.0005058306,0.004218367,0.001183851,0.001819559,0.002435416,0.0009418228,0.0001986837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338953,"about_ca_system_score_gemma":0.0006057488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007890603,"about_ca_topic_score_gemma":0.0009255851,"domain_scores_codex":[0.9982742,0.0007684228,0.0001848377,0.0002340459,0.0004175452,0.0001208838],"domain_scores_gemma":[0.9899136,0.00541904,0.002424049,0.0009291163,0.0008957022,0.000418504],"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":[0.001389173,0.0002349838,0.2578311,0.001826174,0.001302373,0.00217493,0.009585088,0.07189842,0.159734,0.08256736,0.01046087,0.4009954],"study_design_scores_gemma":[0.00008346786,0.000634802,0.2727619,0.0004083705,0.0003584928,0.002596371,0.007237347,0.4525368,0.07603325,0.1670292,0.0198645,0.0004555133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5185531,0.001185546,0.4732805,0.0008531777,0.0001017072,0.00009961673,0.001267023,0.001949549,0.002709761],"genre_scores_gemma":[0.8507085,0.0002625739,0.1478174,0.00007051813,0.00004558198,0.00007290998,0.0004613371,0.0001551289,0.0004060136],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005471744,"threshold_uncertainty_score":0.01972067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2586945381","doi":"10.1515/sagmb-2016-0035","title":"Polyunphased: an extension to polytomous outcomes of the Unphased package for family-based genetic association analysis","year":2017,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Institut Universitaire en Santé Mentale de Québec","funders":"Canadian Institutes of Health Research","keywords":"Polytomous Rasch model; Genetic association; Population; Logistic regression; Conditional dependence; Statistics; Computer science; Econometrics; Data mining; Mathematics; Biology; Genetics; Medicine; Genotype; Single-nucleotide polymorphism","authors":[{"name":"Alexandre Bureau","is_ca":true},{"name":"Jordie Croteau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01419993680638091,"gpt":0.3469983778209622,"spread":0.3327984410145813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009484293,0.002343816,0.002729701,0.002884845,0.001014471,0.002566873,0.004532451,0.001361957,0.06637228],"category_scores_gemma":[0.02625002,0.002351629,0.004016692,0.003064847,0.0009073836,0.002330244,0.004588945,0.003645216,0.02132349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005284995,"about_ca_system_score_gemma":0.002668677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001857199,"about_ca_topic_score_gemma":0.002807401,"domain_scores_codex":[0.9961576,0.002031254,0.0004026653,0.0006280293,0.0005429566,0.0002375375],"domain_scores_gemma":[0.9888227,0.007405734,0.0008228672,0.001797031,0.0008725422,0.0002791722],"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":[0.002391443,0.0005805234,0.02546246,0.003612862,0.002761531,0.001431163,0.001729702,0.01998616,0.01077354,0.04302652,0.4125528,0.4756914],"study_design_scores_gemma":[0.002198416,0.0004580575,0.01941228,0.0007598464,0.00104392,0.002497228,0.0002064977,0.2137684,0.01762367,0.1634312,0.5779188,0.0006817048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003308268,0.0003713789,0.9200597,0.0002179924,0.0002772947,0.0004373835,0.01309111,0.06017348,0.002063257],"genre_scores_gemma":[0.02314383,0.0003964385,0.8917865,0.0005209281,0.0001700528,0.004834522,0.02454189,0.04985092,0.004754964],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06637228,"threshold_uncertainty_score":0.2220374,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}