{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":17,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":17,"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"},"query_hash":"af22e166d177","filters":{"venue":"Model Assisted Statistics and Applications"}},"results":[{"id":"W3163389462","doi":"10.3233/mas-210513","title":"Social network analysis and community detection on spread of COVID-19","year":2021,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Centrality; Exponential random graph models; Social network analysis; Coronavirus disease 2019 (COVID-19); Computer science; Coronavirus; Social network (sociolinguistics); Econometrics; Network analysis; Index (typography); Community structure; Graph; Data science; Random graph; Data mining; Statistics; Mathematics; Theoretical computer science; Social media; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.0365176281554098,"gpt":0.33281440484852,"spread":0.2962967766931102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001626387,0.00009667098,0.0002374852,0.00006574063,0.0006943138,0.00003975408,0.00006319139,0.00003207075,0.00002419849],"category_scores_gemma":[0.000008379477,0.0001055216,0.00006279575,0.0005760079,0.00008660414,0.00001644274,0.00007035824,0.0001865421,3.603194e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002048313,"about_ca_system_score_gemma":0.00004459422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004523113,"about_ca_topic_score_gemma":0.0007955016,"domain_scores_codex":[0.9992781,0.0001355215,0.0002197727,0.0001683592,0.00009099254,0.0001072942],"domain_scores_gemma":[0.999157,0.0002671601,0.0001426342,0.0002393283,0.0001125937,0.00008130428],"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":[0.00002532262,0.0006991239,0.01468451,0.00006981881,0.001460365,6.112788e-7,0.0005541757,0.04447548,0.0009107694,0.7113879,0.002186211,0.2235458],"study_design_scores_gemma":[0.0002768829,0.00003425317,0.01558917,0.000005551871,0.001452925,5.367535e-7,0.0002920144,0.5880943,0.0004020013,0.3910982,0.002516195,0.0002379676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01310083,0.00002043451,0.9851312,0.0001008359,0.000002223967,0.0001060067,0.0005031562,0.00002366898,0.001011642],"genre_scores_gemma":[0.9771748,0.00001135446,0.02204732,0.00005657918,0.00005190233,0.00009368423,0.0004733195,0.000007544626,0.00008345646],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.964074,"threshold_uncertainty_score":0.5340171,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3027751088","doi":"10.3233/mas-200483","title":"The application of predictive distribution estimation in multiple-inflated poisson models to ice hockey data","year":2020,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Ice hockey; Prior probability; Poisson distribution; Estimator; Statistics; Bayes' theorem; Count data; Computer science; Mathematics; Bayesian probability","retraction":null,"screen_n_in":null,"score":{"opus":0.07930236056479274,"gpt":0.2735779207384684,"spread":0.1942755601736757,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002500252,0.0001030282,0.0001974631,0.00004463137,0.0001796027,0.0000516776,0.0002676011,0.00005457347,0.000002016421],"category_scores_gemma":[0.000068758,0.0001016407,0.00001555955,0.000359055,0.00005070251,0.0001448278,0.0001028935,0.0001010853,0.00001011103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004262452,"about_ca_system_score_gemma":0.00002559111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003150519,"about_ca_topic_score_gemma":0.0001663911,"domain_scores_codex":[0.9988517,0.000005681496,0.0005747917,0.0003680477,0.00005654859,0.0001432989],"domain_scores_gemma":[0.9990091,0.00008949987,0.0002959876,0.0004272257,0.00008371412,0.00009452445],"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":[0.0000353884,0.00005924132,0.00255724,0.00003118629,0.00002021919,1.245543e-7,0.0002970438,0.5366536,0.00002461697,0.444359,0.0006190676,0.01534321],"study_design_scores_gemma":[0.0002096272,0.00002332172,0.01026354,0.000005839966,0.00001139742,2.523795e-7,0.00003905657,0.9555394,0.000006467886,0.02978797,0.004007505,0.0001056496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004679168,0.0001783849,0.9828728,0.001000872,0.00001003898,0.0005630629,0.01045529,0.00001688597,0.0002235325],"genre_scores_gemma":[0.9853254,0.0002184353,0.0118394,0.0000893193,0.00001899219,0.0001848869,0.002289375,0.00001200375,0.00002218252],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9806463,"threshold_uncertainty_score":0.4144788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2585322953","doi":"10.3233/mas-170405","title":"Correlated multivariate Poisson processes and extreme measures","year":2017,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"IBM (Canada); University of Toronto","funders":"","keywords":"Multivariate statistics; Poisson distribution; Multivariate analysis; Statistics; Poisson regression; Multivariate analysis of variance; Mathematics; Econometrics; Medicine; Environmental health","retraction":null,"screen_n_in":null,"score":{"opus":0.08617028140430873,"gpt":0.2705514865772612,"spread":0.1843812051729525,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001304654,0.0001530746,0.0002540013,0.00006574607,0.001088637,0.0002760421,0.0002151756,0.00009314149,0.000007238616],"category_scores_gemma":[0.0002348992,0.0001703363,0.00001817133,0.00009031903,0.0001793758,0.0001335434,0.00009419783,0.0001160791,0.00002890905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002041884,"about_ca_system_score_gemma":0.00004166325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002761193,"about_ca_topic_score_gemma":0.00009155189,"domain_scores_codex":[0.9989542,0.000001731001,0.0003675209,0.0004400217,0.00004058765,0.0001958956],"domain_scores_gemma":[0.9988567,0.00006323549,0.0004067287,0.0004161034,0.0001396598,0.0001175316],"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":[0.000006216043,0.00007113929,0.0006362449,0.00005606463,0.00001905458,3.994485e-7,0.0001120657,0.00003715306,0.00004789988,0.9808713,0.0001225717,0.01801994],"study_design_scores_gemma":[0.0004386272,0.00001904122,0.02712046,0.0000171406,0.00002766918,0.000005413749,0.00002011183,0.144071,0.00000729979,0.8215371,0.006461524,0.0002746501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005059245,0.001154516,0.9914855,0.0005500079,0.00002575045,0.0003699948,0.00194757,0.00004174303,0.003919036],"genre_scores_gemma":[0.941435,0.0002988488,0.05694108,0.00007713006,0.0000511881,0.0005222746,0.00007652854,0.00002557652,0.0005724109],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9409291,"threshold_uncertainty_score":0.8373026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200373373","doi":"10.3233/mas-210541","title":"Note on “Parameters estimators of irregular right-angled triangular distribution”","year":2021,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University; Université Laval","funders":"","keywords":"Estimator; Mathematics; Limit (mathematics); Distribution (mathematics); Variance (accounting); Maximum likelihood; Simple (philosophy); Statistics; Upper and lower bounds; Applied mathematics; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.07217319801009585,"gpt":0.3940758617249435,"spread":0.3219026637148477,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001919072,0.000200954,0.0004131388,0.00004165842,0.0002029674,0.00003245677,0.0001069921,0.00009983122,0.00002271276],"category_scores_gemma":[0.000563949,0.0001870655,0.00007121611,0.0002227819,0.0001641467,0.00003598122,0.00003990892,0.0001585057,0.000003228182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000486643,"about_ca_system_score_gemma":0.00008278654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003369784,"about_ca_topic_score_gemma":0.000006017905,"domain_scores_codex":[0.9985078,0.0000815742,0.0005113593,0.0004013552,0.000265723,0.000232196],"domain_scores_gemma":[0.997496,0.001346081,0.0002076844,0.0004864542,0.0002974191,0.000166358],"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":[0.00002047815,0.0003519776,0.000003103724,0.000096311,0.00003829196,0.000007930113,0.00004284889,0.001993993,0.0005994886,0.9662573,0.001007354,0.02958088],"study_design_scores_gemma":[0.0004642211,0.00004369274,0.00006088514,0.00003104834,0.0001422824,0.000005606134,0.0000174218,0.2527679,0.001480478,0.7423219,0.002483775,0.0001808115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001280406,0.00006070029,0.991769,0.0001405021,0.00003630153,0.0003681823,0.005803586,0.00004417505,0.0004972063],"genre_scores_gemma":[0.04145334,0.00004746931,0.9572943,0.00006248977,0.00002419754,0.0001989494,0.0004732784,0.00002962543,0.0004163332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2507739,"threshold_uncertainty_score":0.7628308,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1139569558","doi":"10.3233/mas-2008-3302","title":"A comparison between the design-based and model-based approaches using longitudinal survey data","year":2008,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; Saskatchewan Health Authority; Canadian Rural Health Research Society","funders":"","keywords":"Computer science; Longitudinal data; Data science; Statistics; Data mining; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.6760744834399041,"gpt":0.4579861542244732,"spread":0.2180883292154309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008735986,0.0002172843,0.0003847561,0.00005108445,0.0007178209,0.00009377352,0.0003308432,0.00008623664,0.000003824752],"category_scores_gemma":[0.0004411881,0.0001654593,0.00001788727,0.0001957879,0.0004503287,0.00004705352,0.0001154548,0.000214925,7.550254e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002507484,"about_ca_system_score_gemma":0.0002256583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006226622,"about_ca_topic_score_gemma":0.00003555281,"domain_scores_codex":[0.9983249,0.0002585388,0.0004430353,0.0004837075,0.0002455236,0.0002443053],"domain_scores_gemma":[0.9941443,0.0046435,0.0001983801,0.0007417121,0.0001296295,0.0001424443],"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":[0.0001366474,0.001157409,0.08873513,0.0005971515,0.0002351061,0.000007377644,0.0003738359,0.09436739,0.0001101106,0.696499,0.004220426,0.1135604],"study_design_scores_gemma":[0.0002305167,0.0000194001,0.01413387,0.00001341136,0.0001483442,0.000002816983,0.000008767866,0.8291896,0.00001289603,0.1560519,0.00001035052,0.0001780634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001267829,0.00005519696,0.9925515,0.00008448395,0.000005137345,0.0005582474,0.005387275,0.00003629113,0.00005402617],"genre_scores_gemma":[0.4131792,0.00000417524,0.5864435,0.00002319688,0.00001465563,0.00006571494,0.0002463225,0.00001695208,0.0000063048],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7348222,"threshold_uncertainty_score":0.6747233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968304702","doi":"10.3233/mas-140306","title":"Network visualization to discern patterns of relationships between symptoms in dementia","year":2014,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Mental Health Research Topics","field":"Psychology","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":"Dementia; Visualization; Psychology; Medicine; Computer science; Data mining; Pathology; Disease","retraction":null,"screen_n_in":null,"score":{"opus":0.09685088022160794,"gpt":0.4149132630849245,"spread":0.3180623828633166,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003888085,0.00008081009,0.0001458122,0.0000924977,0.0001393584,0.00001616601,0.0001012309,0.0000682407,0.00004049889],"category_scores_gemma":[0.00003092701,0.00008585683,0.00001008872,0.0002300465,0.00002845421,0.00002212975,0.00005071152,0.0001338185,0.00001772402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003333274,"about_ca_system_score_gemma":0.00001931055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001332063,"about_ca_topic_score_gemma":0.0003183986,"domain_scores_codex":[0.9988639,0.0001576449,0.0003814336,0.0002246821,0.0001498637,0.0002224945],"domain_scores_gemma":[0.9991915,0.00026101,0.0001012794,0.0002466982,0.00005989017,0.0001395837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007946373,0.00008934782,0.3151895,0.00006197841,0.00001841489,1.354058e-7,0.0003266053,0.001810374,0.00000829489,0.6366144,0.0006727464,0.04520018],"study_design_scores_gemma":[0.0003886447,0.0000732602,0.8889713,0.00003629431,0.00003526877,4.072633e-7,0.00007382487,0.07230239,0.000002836329,0.03500468,0.002989889,0.0001212405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03192393,0.00003170471,0.9653689,0.0001908248,0.00001976589,0.0005681987,0.0004707779,0.00001508586,0.001410846],"genre_scores_gemma":[0.9846211,0.000006784133,0.01403136,0.00007410655,0.00006527997,0.0004061397,0.0003872579,0.00001613527,0.000391798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9526972,"threshold_uncertainty_score":0.350114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1155720097","doi":"10.3233/mas-2006-1406","title":"Multivariate Poisson Markov-dependent finite mixture models for analysis of weed counts","year":2006,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","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 Saskatchewan","funders":"","keywords":"Poisson distribution; Multivariate statistics; Markov chain; Mathematics; Statistics; Weed; Poisson regression; Multivariate analysis; Markov model; Computer science; Agronomy; Biology; Demography; Sociology; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.02692853822380042,"gpt":0.2986741330243153,"spread":0.2717455948005149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001665709,0.0001090676,0.0002220183,0.0001334751,0.0001061049,0.00005468357,0.0002067164,0.00007038115,0.000003454473],"category_scores_gemma":[0.000008075412,0.0001014192,0.00006046907,0.0003384714,0.00002872173,0.00006284106,0.00004600503,0.00005857525,8.230281e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001578403,"about_ca_system_score_gemma":0.00003695486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007658772,"about_ca_topic_score_gemma":0.00002870084,"domain_scores_codex":[0.9991519,0.00002406369,0.0002569996,0.0002905724,0.0001365097,0.0001399982],"domain_scores_gemma":[0.9991271,0.0001784957,0.0001374178,0.0003329277,0.0001736275,0.0000504052],"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":[0.000003759469,0.0000720489,0.000004439419,0.00001897043,0.00008654549,2.425109e-7,0.00003302277,0.0268229,0.0005497477,0.9186401,0.0008257852,0.05294247],"study_design_scores_gemma":[0.0001315888,0.000006558509,0.0002260876,0.000002538769,0.0001724501,3.064758e-7,9.31694e-7,0.7331003,0.00002899218,0.2655913,0.0006553417,0.00008361215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001513787,0.00009657152,0.9952265,0.00009848184,0.00001789152,0.0003265669,0.001690805,0.00002982988,0.002498187],"genre_scores_gemma":[0.1225209,0.00001204,0.8758377,0.00005453609,0.00001765434,0.0002117952,0.0001682395,0.000008645461,0.001168515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7062774,"threshold_uncertainty_score":0.4135757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1594103740","doi":"10.3233/mas-2012-0232","title":"The Monte Carlo simulation study to conduct comparison between multilevel modeling and standard regression techniques based on cross-sectional complex survey","year":2013,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Monte Carlo method; Multilevel model; Regression analysis; Statistics; Computer science; Econometrics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.3280278710753258,"gpt":0.4966158481464194,"spread":0.1685879770710936,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008048293,0.0002178225,0.0003263603,0.00007080004,0.0008780138,0.0003701482,0.0001445049,0.00007176284,0.00001106357],"category_scores_gemma":[0.0006985482,0.0001550302,0.00002115576,0.0001233719,0.0001171961,0.00005418286,0.00007535554,0.0002142134,0.000002447067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005256206,"about_ca_system_score_gemma":0.00004430945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002548113,"about_ca_topic_score_gemma":0.000117415,"domain_scores_codex":[0.9981562,0.0002400403,0.0005978908,0.0004170474,0.0003687456,0.000220016],"domain_scores_gemma":[0.9942524,0.00445034,0.0001717804,0.0003506793,0.0006046446,0.0001701766],"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":[0.0003258221,0.001364466,0.2256213,0.000184365,0.0001504328,0.000001112457,0.000696373,0.1735192,0.0002212564,0.115654,0.002131013,0.4801307],"study_design_scores_gemma":[0.0002227606,0.0001341557,0.1905171,0.00001572209,0.00002584999,1.665999e-7,0.00004470344,0.7366833,0.000005758037,0.07217935,0.0000264148,0.0001447508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05107715,0.000006103019,0.9446276,0.00006355486,0.00001301189,0.001598721,0.002497433,0.00006323554,0.00005322964],"genre_scores_gemma":[0.5796094,0.000001428399,0.4199563,0.00002510169,0.00001794856,0.0003150502,0.00003900308,0.00001595877,0.00001980729],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5631641,"threshold_uncertainty_score":0.6753061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386955368","doi":"10.3233/mas-221411","title":"Bayesian inference on sparse multinomial data using smoothed Dirichlet distribution with an application to COVID-19 data","year":2023,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba; University of Winnipeg","funders":"","keywords":"Dirichlet distribution; Multinomial distribution; Estimator; Bayesian probability; Dirichlet process; Context (archaeology); Bayesian inference; Prior probability; Statistics; Mathematics; Feature (linguistics); Computer science; Inference; Shrinkage estimator; Econometrics; Artificial intelligence; Bias of an estimator; Minimum-variance unbiased estimator; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.3523646858279015,"gpt":0.4765665338554062,"spread":0.1242018480275047,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006440763,0.0002425384,0.0002900732,0.00009148262,0.0004852079,0.0001495025,0.0007931236,0.0000903668,0.00001301804],"category_scores_gemma":[0.001609187,0.000214223,0.000009385058,0.000576727,0.0001375164,0.0001356654,0.0004625107,0.0001768074,0.00001645943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008836549,"about_ca_system_score_gemma":0.0002398914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001909128,"about_ca_topic_score_gemma":0.0002725978,"domain_scores_codex":[0.9978509,0.0001082869,0.0004267784,0.0009641995,0.000326724,0.0003231222],"domain_scores_gemma":[0.9953609,0.001508487,0.0001964212,0.002299371,0.0001475083,0.0004872939],"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":[0.0001252334,0.0004310436,0.0003672086,0.0001614862,0.00003970527,0.000004825438,0.0001447875,0.01132267,0.0004436455,0.8876284,0.004911623,0.09441936],"study_design_scores_gemma":[0.0003098309,0.00008355365,0.0008523482,0.00001813147,0.00009203508,0.000003098027,0.00005539087,0.8531772,0.000006777733,0.1427574,0.00238727,0.0002569831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001798918,0.000002498829,0.949231,0.0003369784,0.0000133004,0.0009752284,0.04738707,0.0001713199,0.00008369974],"genre_scores_gemma":[0.2379759,0.00001158436,0.7483,0.0002400536,0.00006352775,0.0002883592,0.01304906,0.00003662157,0.00003490217],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8418546,"threshold_uncertainty_score":0.8735759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1666508972","doi":"10.3233/mas-2010-0116","title":"Analysis of correlated bronchial responsiveness data","year":2010,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.06269379010048787,"gpt":0.3538576634858832,"spread":0.2911638733853953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730043,0.00006772162,0.0001549969,0.00005077037,0.0001756575,0.00001484454,0.0002201486,0.00006423439,0.0002257295],"category_scores_gemma":[0.00006639581,0.0000653899,0.00001418405,0.0004354417,0.0002034983,0.00006355962,0.0001659833,0.0001359068,0.00001252303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001359232,"about_ca_system_score_gemma":0.00003719426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004283369,"about_ca_topic_score_gemma":0.001851967,"domain_scores_codex":[0.9992114,0.00002669153,0.0002435753,0.0002420014,0.0001499679,0.0001263192],"domain_scores_gemma":[0.9989935,0.0001637014,0.0001241085,0.0005685826,0.00002102067,0.0001291009],"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":[0.000238516,0.001287429,0.07244205,0.0001323514,0.0006792085,0.00000327216,0.001393045,0.1109954,0.01597931,0.2805886,0.03036208,0.4858988],"study_design_scores_gemma":[0.00009936578,0.00001002417,0.1738286,0.000001129216,0.0002575595,6.802873e-7,0.00001349266,0.8161095,0.000008823738,0.002564041,0.007036383,0.00007034605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04322454,0.00000709671,0.9512143,0.000351829,0.00001445251,0.0001843908,0.003909197,0.00001490225,0.001079306],"genre_scores_gemma":[0.8963714,0.00002249775,0.1018573,0.0003035783,0.00001228529,0.00003112568,0.001114538,0.000007840308,0.0002794048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8531469,"threshold_uncertainty_score":0.2666523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1910668730","doi":"10.3233/mas-2007-2102","title":"Tests for assessing vector correlation","year":2007,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Mathematics; Covariance matrix; Null distribution; Statistics; Scatter matrix; Nonparametric statistics; Multivariate normal distribution; Independence (probability theory); Multivariate statistics; Null (SQL); Correlation; Applied mathematics; Null hypothesis; Statistical hypothesis testing; Sequence (biology); Test statistic; Computer science; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.1650113267374346,"gpt":0.4710376755326992,"spread":0.3060263487952646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004651407,0.0001425086,0.0002001102,0.00005540077,0.0003368031,0.00006152903,0.00006833651,0.00008308442,0.00000460222],"category_scores_gemma":[0.0005011575,0.0001375561,0.00002901221,0.0001125705,0.00007352856,0.00007950947,0.00002472089,0.0001112236,0.000001427739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004389059,"about_ca_system_score_gemma":0.00003905814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002218872,"about_ca_topic_score_gemma":0.00001815309,"domain_scores_codex":[0.9989172,0.00001729191,0.0003799905,0.0002893745,0.0001395677,0.0002565321],"domain_scores_gemma":[0.9966387,0.002636072,0.0001596905,0.0002074561,0.0002202153,0.0001378296],"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":[0.000008465796,0.00007343039,0.00002196479,0.00006174002,0.000009110478,4.652398e-7,0.00003769003,0.0003536752,0.0006400965,0.8614931,0.0004883086,0.136812],"study_design_scores_gemma":[0.0002167786,0.00001484851,0.0007365054,0.0000102903,0.00005097817,0.000002715301,0.00002714287,0.3695457,0.00003086887,0.6279615,0.001280987,0.0001216802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002955366,0.00003314866,0.9968064,0.00005865811,0.00003224401,0.0006724838,0.000737988,0.00007297978,0.001290565],"genre_scores_gemma":[0.1179467,0.00000738897,0.8811846,0.00005732957,0.00006366604,0.0002420045,0.00009705892,0.00003051343,0.00037071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.369192,"threshold_uncertainty_score":0.5609374,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4223604613","doi":"10.3233/mas-220008","title":"Empirical study on understanding online buying behaviour through machine learning algorithms","year":2022,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"College of the Rockies","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Empirical research; Marketing; Advertising; Algorithm; Business; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1681632848402419,"gpt":0.3549044763553442,"spread":0.1867411915151023,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001946554,0.0002058373,0.0002315781,0.0001469456,0.001987725,0.0001863835,0.0001656062,0.00002496059,0.00005314597],"category_scores_gemma":[0.00002332974,0.0002139738,0.00003721334,0.0004145663,0.00005949603,0.0001224583,0.0004469571,0.0004307382,0.000008684629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391305,"about_ca_system_score_gemma":0.00002022801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003108516,"about_ca_topic_score_gemma":0.0002791639,"domain_scores_codex":[0.9986082,0.0000262423,0.000308762,0.0004354706,0.0003803542,0.0002409346],"domain_scores_gemma":[0.9994094,0.00009530344,0.0001836342,0.000220683,0.00007299094,0.00001802069],"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":[0.00004745807,0.003244272,0.864453,0.00006038737,0.0001422842,0.00003812171,0.0007761762,0.006101547,0.00005930726,0.08584844,0.0008552651,0.03837381],"study_design_scores_gemma":[0.00176406,0.0001386209,0.1911829,0.00001437184,0.0007877414,0.000008914812,0.0143925,0.7634605,5.03052e-7,0.01098395,0.01645805,0.0008078867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1401254,0.0001380707,0.854652,0.0009764854,0.00008622159,0.001219828,0.000868706,0.0002749395,0.001658334],"genre_scores_gemma":[0.9935223,0.00001014641,0.004761328,0.0002204913,0.00005534946,0.0005702764,0.0004751144,0.00004318546,0.0003417829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.853397,"threshold_uncertainty_score":0.9993116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1604616549","doi":"10.3233/mas-2012-0234","title":"A semiparametric Bayesian approach for mark-recapture estimation","year":2013,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Estimation; Mark and recapture; Bayesian probability; Econometrics; Semiparametric model; Bayes estimator; Statistics; Computer science; Mathematics; Economics; Demography; Sociology; Nonparametric statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.04949623967863787,"gpt":0.3226297201062078,"spread":0.27313348042757,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428738,0.0001537545,0.0001877257,0.0001142493,0.0002752827,0.0001073964,0.00008293395,0.0001045595,0.00002508292],"category_scores_gemma":[0.0001455772,0.000144909,0.00003649548,0.0002469524,0.00003928047,0.0001056266,0.00002022021,0.00008914493,0.000006099061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003953147,"about_ca_system_score_gemma":0.00002869313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002192086,"about_ca_topic_score_gemma":0.000004989246,"domain_scores_codex":[0.9990225,0.0000192956,0.0003557659,0.0002692437,0.0001515523,0.0001816788],"domain_scores_gemma":[0.9988576,0.0003546285,0.0001847432,0.0002560614,0.0002405185,0.0001064033],"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":[0.000006089025,0.0002115115,0.0002094527,0.0002844175,0.00002792672,4.998307e-8,0.0001173956,0.01720119,0.00006154763,0.810324,0.0215126,0.1500439],"study_design_scores_gemma":[0.0001870052,0.000009539721,0.001029721,0.000004807863,0.00004949948,0.000002715618,0.00001539353,0.6727536,0.000004012764,0.325412,0.0004147719,0.0001169062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006035029,0.00003317467,0.9951982,0.0002053917,0.00001193576,0.001672342,0.0005554405,0.00008332748,0.001636619],"genre_scores_gemma":[0.2810673,0.000006380233,0.7156458,0.00005725075,0.00003039447,0.001769447,0.0007802763,0.00002276419,0.0006204374],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6555524,"threshold_uncertainty_score":0.5909216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4223418078","doi":"10.3233/mas-220007","title":"A study on work-life balance in the era of work from home with reference to understanding the change in perceived job satisfaction through statistical analysis","year":2022,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"College of the Rockies","funders":"","keywords":"Work–life balance; Job satisfaction; Balance (ability); Work (physics); Life satisfaction; Adaptability; Psychology; Pandemic; Test (biology); Public relations; Social psychology; Political science; Coronavirus disease 2019 (COVID-19); Management; Medicine; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.141577407139458,"gpt":0.3556686506927317,"spread":0.2140912435532738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005104126,0.0001167721,0.0002384488,0.00008443145,0.0005900927,0.00006644171,0.0002631694,0.00003299077,0.00003294978],"category_scores_gemma":[0.00003525028,0.00008389999,0.00001557677,0.001810923,0.0001577492,0.000048273,0.00005532015,0.0003779157,0.000001056481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540235,"about_ca_system_score_gemma":0.00007802794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004725105,"about_ca_topic_score_gemma":0.03646416,"domain_scores_codex":[0.9982413,0.0004223966,0.0002570627,0.0003339494,0.0005329369,0.0002123505],"domain_scores_gemma":[0.9984505,0.001041992,0.0001165972,0.0003065721,0.00003370078,0.00005069336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001100409,0.0002611759,0.7383429,0.000003674421,0.00007968655,0.000002841464,0.07927634,0.01287546,0.000001825644,0.1673724,0.0001143019,0.001559288],"study_design_scores_gemma":[0.0002332276,0.00006184197,0.9277745,0.00001495454,0.00008394632,6.726986e-8,0.06155869,0.001228257,1.088131e-8,0.008888697,0.00005277657,0.0001029578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6262026,0.00007256807,0.3676427,0.002228927,0.00001300923,0.001487738,0.001077928,0.00001961758,0.00125486],"genre_scores_gemma":[0.9938551,0.00009139178,0.004065812,0.0002272372,0.00001747005,0.001668219,0.00005357963,0.000009172091,0.00001208108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3676524,"threshold_uncertainty_score":0.9811178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1595679218","doi":"10.3233/mas-140292","title":"Estimation of call prices for some stochastic volatility models","year":2014,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Econometrics; Volatility (finance); Stochastic volatility; Estimation; Economics; Call option; Financial economics","retraction":null,"screen_n_in":null,"score":{"opus":0.03718593780983587,"gpt":0.2563370712381582,"spread":0.2191511334283224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002161419,0.0001249781,0.0002988103,0.00008731433,0.0002027526,0.00003346473,0.0001376188,0.00006460182,0.000003131082],"category_scores_gemma":[0.0001025157,0.0001452022,0.00004149096,0.0001409702,0.00009271874,0.0001206463,0.00003272226,0.00006249219,0.000007416957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002621887,"about_ca_system_score_gemma":0.0000288563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004537333,"about_ca_topic_score_gemma":0.000009222536,"domain_scores_codex":[0.9988837,0.000001883898,0.0005621694,0.0003444819,0.00004067138,0.000167067],"domain_scores_gemma":[0.9989727,0.0001992653,0.0003795935,0.0002702972,0.0001016557,0.00007644515],"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":[0.000006232316,0.00008181224,0.000006035031,0.00009050512,0.00001053182,5.848549e-9,0.00005140601,0.06535522,0.00001044835,0.9152159,0.00006958543,0.01910233],"study_design_scores_gemma":[0.0001382868,0.00001791588,0.0001845816,0.000003802195,0.00001194837,2.817036e-7,0.000002847291,0.5056674,0.000002793579,0.4936781,0.000215013,0.00007703185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004051432,0.0002131952,0.9944928,0.0001142627,0.0000188666,0.0006600462,0.003553463,0.00002903915,0.0005131975],"genre_scores_gemma":[0.7826473,0.00001111637,0.2160688,0.00005268544,0.00003542365,0.0009247196,0.0001781868,0.00001599835,0.00006579894],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7822422,"threshold_uncertainty_score":0.5921172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1266889966","doi":"10.3233/mas-130272","title":"Meeting Report: STAT-HAWKERS at the JSM-2013, Montreal, Canada","year":2013,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"stat; Traditional medicine; Medicine; Biology; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.00984552943645269,"gpt":0.2627129221959152,"spread":0.2528673927594626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001617195,0.0001270374,0.0001885911,0.00002490594,0.0004406947,0.00005742423,0.00007971787,0.00003704203,0.00006392759],"category_scores_gemma":[0.0001213995,0.00008863906,0.00002408956,0.0000969312,0.0001326561,0.00002414623,0.00006264068,0.0002356051,0.000008542496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108224,"about_ca_system_score_gemma":0.0002576941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3184871,"about_ca_topic_score_gemma":0.118268,"domain_scores_codex":[0.9988957,0.00002176337,0.0003160244,0.0002654991,0.0002703061,0.0002306957],"domain_scores_gemma":[0.9989223,0.0002006294,0.000147794,0.0003512058,0.0001469481,0.0002310801],"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":[0.0000151098,0.0001376931,0.004906991,0.0001302204,0.0001564594,0.00008509707,0.0001951206,0.007450108,0.001540196,0.006235025,0.8076905,0.1714575],"study_design_scores_gemma":[0.0004383227,0.00001468038,0.02324791,0.00002626369,0.0001300063,0.0002162116,0.0001311498,0.8793883,0.00001309058,0.002589232,0.09364957,0.000155284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04762655,0.0007391946,0.9007508,0.03318588,0.00007696579,0.001394917,0.000405934,0.00008339209,0.0157364],"genre_scores_gemma":[0.913839,0.0004205645,0.06065448,0.003417643,0.000173101,0.0007849887,0.0008593574,0.00006284969,0.01978801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8719382,"threshold_uncertainty_score":0.8978213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1442784167","doi":"10.3233/mas-2008-3208","title":"Estimating equations for repeated failure time measurements","year":2008,"lang":"en","type":"article","venue":"Model Assisted Statistics and Applications","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Statistics; Mathematics; Econometrics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03770064377267648,"gpt":0.2479003374220919,"spread":0.2101996936494154,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008032414,0.00009657023,0.0001084009,0.00003701758,0.0003071811,0.00002537735,0.00005387299,0.00005038066,0.000006781435],"category_scores_gemma":[0.00006970934,0.0001024161,0.00001946964,0.0001089907,0.00004294402,0.00006165575,0.000009166821,0.00005432017,0.000007688752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004016903,"about_ca_system_score_gemma":0.0000246692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002568584,"about_ca_topic_score_gemma":0.000005365216,"domain_scores_codex":[0.9993943,0.00000618781,0.0002166734,0.0001558205,0.00009077915,0.0001362133],"domain_scores_gemma":[0.9994852,0.00007848195,0.00003872808,0.0001615557,0.0001782202,0.00005783745],"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":[0.000001862898,0.0000269126,0.00001505803,0.00004749656,0.00002177455,1.056993e-7,0.00007089869,0.9829839,0.001500682,0.006200142,0.004168528,0.004962661],"study_design_scores_gemma":[0.0001974643,0.000008590696,0.00007410238,0.000009172445,0.00003178072,0.000002563494,0.000004641442,0.9929169,0.00005722311,0.005884903,0.0006985845,0.0001141064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003314449,0.00002745181,0.9977132,0.00007215714,0.00001643908,0.0005178282,0.0004600517,0.0001640566,0.0006973846],"genre_scores_gemma":[0.183936,0.00001515017,0.8143669,0.00002192332,0.0000286986,0.0007023424,0.0005413276,0.00002434915,0.0003632932],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1836046,"threshold_uncertainty_score":0.4176405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}