{"meta":{"query_hash":"af22e166d177","filters":{"venue":"Model Assisted Statistics and Applications"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/af22e166d177","api":"https://metacan.xera.ac/api/v1/cohort?venue=Model+Assisted+Statistics+and+Applications"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.6760744834399041,"score_gpt":0.4579861542244732,"score_spread":0.21808832921543087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1139569558","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012678294,0.000055196964,0.9925515,0.000084483945,0.000005137345,0.00055824744,0.0053872755,0.00003629113,0.000054026168],"genre_scores_gemma":[0.41317916,0.0000041752396,0.5864435,0.000023196879,0.000014655629,0.00006571494,0.00024632248,0.000016952084,0.0000063047996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983249,0.00025853878,0.00044303527,0.00048370752,0.0002455236,0.00024430527],"domain_scores_gemma":[0.9941443,0.0046435,0.00019838006,0.0007417121,0.00012962945,0.00014244426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008735986,0.00021728427,0.00038475613,0.00005108445,0.00071782095,0.000093773524,0.0003308432,0.000086236636,0.000003824752],"category_scores_gemma":[0.0004411881,0.00016545928,0.000017887265,0.00019578788,0.0004503287,0.00004705352,0.00011545478,0.00021492504,7.5502544e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013664737,0.0011574092,0.08873513,0.00059715146,0.00023510614,0.000007377644,0.00037383585,0.09436739,0.000110110566,0.69649905,0.004220426,0.113560356],"study_design_scores_gemma":[0.00023051667,0.000019400102,0.014133871,0.000013411364,0.00014834417,0.0000028169832,0.000008767866,0.8291896,0.00001289603,0.15605195,0.000010350524,0.0001780634],"about_ca_topic_score_codex":0.00006226622,"about_ca_topic_score_gemma":0.000035552814,"teacher_disagreement_score":0.7348222,"about_ca_system_score_codex":0.000025074844,"about_ca_system_score_gemma":0.00022565832,"threshold_uncertainty_score":0.6747233},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.026928538223800418,"score_gpt":0.29867413302431534,"score_spread":0.2717455948005149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1155720097","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000151378745,0.00009657152,0.9952265,0.00009848184,0.00001789152,0.0003265669,0.0016908047,0.000029829878,0.0024981871],"genre_scores_gemma":[0.12252086,0.000012040002,0.87583774,0.000054536085,0.000017654342,0.00021179518,0.00016823951,0.000008645461,0.001168515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991519,0.000024063691,0.00025699957,0.00029057238,0.00013650967,0.00013999823],"domain_scores_gemma":[0.99912715,0.00017849567,0.00013741784,0.00033292765,0.00017362749,0.000050405204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016657088,0.00010906762,0.0002220183,0.00013347511,0.00010610485,0.00005468357,0.00020671636,0.000070381146,0.0000034544732],"category_scores_gemma":[0.000008075412,0.000101419246,0.00006046907,0.00033847138,0.000028721732,0.000062841056,0.000046005025,0.000058575246,8.230281e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037594687,0.0000720489,0.000004439419,0.000018970426,0.00008654549,2.4251088e-7,0.00003302277,0.026822897,0.00054974767,0.9186401,0.0008257852,0.052942473],"study_design_scores_gemma":[0.00013158881,0.000006558509,0.00022608756,0.0000025387687,0.00017245015,3.064758e-7,9.31694e-7,0.7331003,0.00002899218,0.26559132,0.00065534166,0.00008361215],"about_ca_topic_score_codex":0.00007658772,"about_ca_topic_score_gemma":0.000028700835,"teacher_disagreement_score":0.7062774,"about_ca_system_score_codex":0.000015784031,"about_ca_system_score_gemma":0.000036954858,"threshold_uncertainty_score":0.41357568},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"stat; Traditional medicine; Medicine; Biology; Genetics","score_opus":0.00984552943645269,"score_gpt":0.26271292219591524,"score_spread":0.2528673927594626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1266889966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047626548,0.00073919457,0.90075076,0.03318588,0.000076965785,0.0013949166,0.00040593397,0.000083392086,0.015736401],"genre_scores_gemma":[0.913839,0.00042056447,0.060654484,0.0034176435,0.000173101,0.0007849887,0.0008593574,0.00006284969,0.019788012],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988957,0.000021763366,0.0003160244,0.00026549905,0.00027030607,0.00023069575],"domain_scores_gemma":[0.99892235,0.00020062937,0.00014779397,0.00035120582,0.00014694808,0.0002310801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016171951,0.00012703739,0.00018859113,0.000024905941,0.0004406947,0.000057424233,0.000079717865,0.000037042035,0.00006392759],"category_scores_gemma":[0.00012139955,0.00008863906,0.000024089564,0.0000969312,0.00013265612,0.000024146228,0.00006264068,0.0002356051,0.000008542496],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015109801,0.0001376931,0.0049069906,0.00013022037,0.00015645944,0.00008509707,0.00019512058,0.0074501084,0.0015401958,0.006235025,0.8076905,0.17145747],"study_design_scores_gemma":[0.0004383227,0.000014680378,0.023247905,0.000026263695,0.00013000633,0.0002162116,0.00013114982,0.8793883,0.000013090582,0.0025892318,0.09364957,0.00015528401],"about_ca_topic_score_codex":0.3184871,"about_ca_topic_score_gemma":0.118268006,"teacher_disagreement_score":0.87193817,"about_ca_system_score_codex":0.00011082235,"about_ca_system_score_gemma":0.00025769408,"threshold_uncertainty_score":0.8978213},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Statistics; Mathematics; Econometrics; Computer science","score_opus":0.037700643772676484,"score_gpt":0.24790033742209192,"score_spread":0.21019969364941543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1442784167","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033144487,0.000027451812,0.9977132,0.00007215714,0.000016439079,0.0005178282,0.00046005173,0.00016405656,0.00069738465],"genre_scores_gemma":[0.18393603,0.000015150174,0.8143669,0.000021923322,0.000028698598,0.00070234237,0.00054132764,0.00002434915,0.00036329316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993943,0.00000618781,0.00021667336,0.00015582053,0.000090779155,0.00013621328],"domain_scores_gemma":[0.9994852,0.00007848195,0.00003872808,0.00016155574,0.00017822019,0.00005783745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008032414,0.000096570235,0.00010840092,0.000037017584,0.0003071811,0.000025377354,0.00005387299,0.000050380655,0.000006781435],"category_scores_gemma":[0.00006970934,0.00010241605,0.000019469644,0.00010899067,0.000042944022,0.00006165575,0.000009166821,0.00005432017,0.000007688752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018628976,0.000026912598,0.000015058033,0.000047496556,0.000021774551,1.05699314e-7,0.00007089869,0.9829839,0.0015006817,0.006200142,0.004168528,0.004962661],"study_design_scores_gemma":[0.00019746434,0.000008590696,0.00007410238,0.000009172445,0.00003178072,0.0000025634943,0.000004641442,0.9929169,0.000057223115,0.0058849035,0.00069858454,0.00011410641],"about_ca_topic_score_codex":0.0000025685843,"about_ca_topic_score_gemma":0.0000053652157,"teacher_disagreement_score":0.18360458,"about_ca_system_score_codex":0.000040169027,"about_ca_system_score_gemma":0.000024669203,"threshold_uncertainty_score":0.41764054},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Monte Carlo method; Multilevel model; Regression analysis; Statistics; Computer science; Econometrics; Mathematics","score_opus":0.3280278710753258,"score_gpt":0.4966158481464194,"score_spread":0.16858797707109358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594103740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051077154,0.0000061030187,0.9446276,0.00006355486,0.0000130118915,0.0015987208,0.0024974332,0.00006323554,0.00005322964],"genre_scores_gemma":[0.5796094,0.0000014283986,0.41995633,0.00002510169,0.000017948563,0.0003150502,0.000039003076,0.000015958767,0.000019807294],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815625,0.0002400403,0.0005978908,0.00041704738,0.00036874562,0.00022001595],"domain_scores_gemma":[0.9942524,0.0044503403,0.00017178043,0.00035067927,0.0006046446,0.00017017659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008048293,0.00021782253,0.00032636034,0.00007080004,0.0008780138,0.0003701482,0.00014450493,0.00007176284,0.000011063574],"category_scores_gemma":[0.00069854816,0.00015503024,0.000021155758,0.00012337192,0.000117196054,0.00005418286,0.000075355536,0.0002142134,0.0000024470671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032582213,0.0013644658,0.2256213,0.00018436497,0.0001504328,0.0000011124566,0.000696373,0.17351918,0.00022125643,0.11565403,0.0021310125,0.48013067],"study_design_scores_gemma":[0.00022276063,0.0001341557,0.19051705,0.000015722087,0.000025849993,1.6659993e-7,0.000044703436,0.7366833,0.000005758037,0.07217935,0.000026414804,0.00014475075],"about_ca_topic_score_codex":0.0002548113,"about_ca_topic_score_gemma":0.000117414966,"teacher_disagreement_score":0.5631641,"about_ca_system_score_codex":0.00005256206,"about_ca_system_score_gemma":0.000044309447,"threshold_uncertainty_score":0.6753061},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Econometrics; Volatility (finance); Stochastic volatility; Estimation; Economics; Call option; Financial economics","score_opus":0.037185937809835874,"score_gpt":0.25633707123815824,"score_spread":0.21915113342832238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595679218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040514325,0.00021319522,0.99449277,0.000114262686,0.000018866604,0.00066004624,0.0035534634,0.000029039147,0.0005131975],"genre_scores_gemma":[0.7826473,0.000011116367,0.21606877,0.00005268544,0.00003542365,0.00092471956,0.00017818685,0.000015998352,0.000065798944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988837,0.0000018838975,0.0005621694,0.00034448193,0.000040671384,0.00016706699],"domain_scores_gemma":[0.9989727,0.00019926534,0.0003795935,0.0002702972,0.00010165567,0.000076445154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021614187,0.00012497812,0.00029881034,0.00008731433,0.00020275262,0.00003346473,0.00013761883,0.000064601816,0.0000031310824],"category_scores_gemma":[0.000102515674,0.00014520217,0.000041490955,0.00014097015,0.000092718736,0.000120646284,0.00003272226,0.00006249219,0.000007416957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062323156,0.000081812235,0.0000060350308,0.00009050512,0.000010531823,5.8485488e-9,0.000051406012,0.06535522,0.000010448345,0.9152159,0.000069585425,0.019102331],"study_design_scores_gemma":[0.00013828684,0.000017915876,0.00018458156,0.0000038021947,0.000011948374,2.817036e-7,0.000002847291,0.5056674,0.000002793579,0.4936781,0.00021501299,0.00007703185],"about_ca_topic_score_codex":0.000045373326,"about_ca_topic_score_gemma":0.000009222536,"teacher_disagreement_score":0.7822422,"about_ca_system_score_codex":0.000026218873,"about_ca_system_score_gemma":0.000028856299,"threshold_uncertainty_score":0.59211725},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04949623967863787,"score_gpt":0.32262972010620783,"score_spread":0.27313348042756996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604616549","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006035029,0.000033174667,0.99519825,0.00020539165,0.000011935761,0.0016723422,0.0005554405,0.000083327475,0.0016366193],"genre_scores_gemma":[0.28106728,0.0000063802327,0.7156458,0.000057250745,0.000030394465,0.001769447,0.00078027626,0.000022764192,0.0006204374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990225,0.0000192956,0.0003557659,0.00026924367,0.00015155233,0.00018167876],"domain_scores_gemma":[0.9988576,0.00035462852,0.00018474321,0.00025606138,0.0002405185,0.00010640335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014287377,0.00015375452,0.00018772575,0.00011424935,0.00027528265,0.00010739637,0.00008293395,0.000104559535,0.000025082918],"category_scores_gemma":[0.0001455772,0.00014490896,0.00003649548,0.0002469524,0.00003928047,0.0001056266,0.000020220212,0.00008914493,0.0000060990615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060890247,0.00021151148,0.00020945274,0.00028441747,0.000027926715,4.998307e-8,0.000117395604,0.017201187,0.00006154763,0.81032395,0.021512598,0.15004386],"study_design_scores_gemma":[0.00018700522,0.000009539721,0.0010297208,0.000004807863,0.00004949948,0.0000027156177,0.000015393533,0.67275363,0.000004012764,0.325412,0.0004147719,0.00011690615],"about_ca_topic_score_codex":0.00002192086,"about_ca_topic_score_gemma":0.0000049892456,"teacher_disagreement_score":0.65555245,"about_ca_system_score_codex":0.00003953147,"about_ca_system_score_gemma":0.00002869313,"threshold_uncertainty_score":0.59092164},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Medicine","score_opus":0.06269379010048787,"score_gpt":0.3538576634858832,"score_spread":0.29116387338539534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1666508972","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043224543,0.0000070967103,0.95121425,0.00035182896,0.000014452507,0.00018439081,0.003909197,0.000014902247,0.0010793062],"genre_scores_gemma":[0.8963714,0.00002249775,0.10185729,0.00030357827,0.000012285288,0.00003112568,0.001114538,0.000007840308,0.00027940478],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921143,0.000026691532,0.00024357527,0.00024200142,0.00014996795,0.00012631924],"domain_scores_gemma":[0.99899346,0.00016370142,0.0001241085,0.00056858256,0.000021020673,0.00012910092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027300435,0.00006772162,0.0001549969,0.00005077037,0.00017565748,0.000014844543,0.00022014858,0.00006423439,0.0002257295],"category_scores_gemma":[0.00006639581,0.000065389904,0.000014184054,0.00043544167,0.0002034983,0.000063559615,0.00016598334,0.00013590675,0.000012523029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023851596,0.0012874288,0.072442055,0.00013235144,0.00067920855,0.0000032721598,0.0013930448,0.11099535,0.015979307,0.28058863,0.03036208,0.48589876],"study_design_scores_gemma":[0.00009936578,0.000010024171,0.17382863,0.0000011292161,0.0002575595,6.8028726e-7,0.000013492663,0.81610954,0.000008823738,0.0025640412,0.0070363833,0.000070346054],"about_ca_topic_score_codex":0.00042833688,"about_ca_topic_score_gemma":0.0018519668,"teacher_disagreement_score":0.8531469,"about_ca_system_score_codex":0.000013592325,"about_ca_system_score_gemma":0.000037194255,"threshold_uncertainty_score":0.2666523},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.16501132673743457,"score_gpt":0.4710376755326992,"score_spread":0.30602634879526464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910668730","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029553662,0.000033148655,0.9968064,0.000058658108,0.00003224401,0.00067248376,0.000737988,0.00007297978,0.0012905647],"genre_scores_gemma":[0.11794667,0.00000738897,0.88118464,0.00005732957,0.00006366604,0.00024200452,0.00009705892,0.000030513433,0.00037071004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989172,0.000017291914,0.00037999047,0.0002893745,0.00013956767,0.00025653213],"domain_scores_gemma":[0.9966387,0.0026360715,0.00015969046,0.00020745613,0.00022021533,0.00013782963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046514074,0.00014250864,0.00020011015,0.000055400767,0.00033680306,0.000061529034,0.00006833651,0.00008308442,0.00000460222],"category_scores_gemma":[0.00050115754,0.00013755608,0.000029012208,0.00011257046,0.000073528565,0.000079509475,0.000024720892,0.000111223555,0.0000014277391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008465796,0.00007343039,0.000021964786,0.00006174002,0.0000091104785,4.6523982e-7,0.00003769003,0.00035367516,0.0006400965,0.86149305,0.0004883086,0.13681203],"study_design_scores_gemma":[0.0002167786,0.000014848509,0.00073650543,0.000010290304,0.00005097817,0.0000027153014,0.000027142874,0.36954567,0.00003086887,0.6279615,0.0012809872,0.000121680205],"about_ca_topic_score_codex":0.0000022188722,"about_ca_topic_score_gemma":0.000018153094,"teacher_disagreement_score":0.369192,"about_ca_system_score_codex":0.00004389059,"about_ca_system_score_gemma":0.00003905814,"threshold_uncertainty_score":0.5609374},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Dementia; Visualization; Psychology; Medicine; Computer science; Data mining; Pathology; Disease","score_opus":0.09685088022160794,"score_gpt":0.41491326308492454,"score_spread":0.3180623828633166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968304702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031923935,0.000031704712,0.96536887,0.00019082481,0.00001976589,0.0005681987,0.0004707779,0.0000150858605,0.0014108464],"genre_scores_gemma":[0.9846211,0.000006784133,0.014031362,0.000074106545,0.00006527997,0.00040613973,0.00038725787,0.000016135271,0.00039179804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988639,0.0001576449,0.00038143355,0.00022468214,0.0001498637,0.00022249446],"domain_scores_gemma":[0.9991915,0.00026100996,0.000101279365,0.0002466982,0.000059890168,0.0001395837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038880855,0.00008081009,0.00014581217,0.0000924977,0.00013935838,0.000016166014,0.00010123091,0.000068240704,0.000040498893],"category_scores_gemma":[0.000030927007,0.00008585683,0.000010088721,0.00023004654,0.000028454207,0.00002212975,0.00005071152,0.00013381852,0.000017724018],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007946373,0.00008934782,0.3151895,0.00006197841,0.000018414892,1.3540583e-7,0.00032660528,0.0018103735,0.00000829489,0.63661444,0.0006727464,0.045200177],"study_design_scores_gemma":[0.0003886447,0.0000732602,0.88897127,0.00003629431,0.00003526877,4.0726331e-7,0.00007382487,0.07230239,0.000002836329,0.03500468,0.0029898887,0.000121240504],"about_ca_topic_score_codex":0.00013320625,"about_ca_topic_score_gemma":0.00031839858,"teacher_disagreement_score":0.9526972,"about_ca_system_score_codex":0.00003333274,"about_ca_system_score_gemma":0.000019310552,"threshold_uncertainty_score":0.350114},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.08617028140430873,"score_gpt":0.27055148657726125,"score_spread":0.18438120517295253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585322953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005059245,0.001154516,0.9914855,0.00055000786,0.000025750447,0.00036999484,0.0019475704,0.000041743027,0.003919036],"genre_scores_gemma":[0.941435,0.00029884884,0.056941085,0.00007713006,0.000051188104,0.00052227464,0.000076528544,0.000025576515,0.00057241094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895424,0.0000017310014,0.00036752087,0.00044002166,0.000040587653,0.00019589563],"domain_scores_gemma":[0.9988567,0.00006323549,0.00040672874,0.00041610337,0.00013965978,0.00011753161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013046537,0.0001530746,0.0002540013,0.00006574607,0.001088637,0.00027604215,0.0002151756,0.00009314149,0.0000072386156],"category_scores_gemma":[0.00023489915,0.00017033625,0.000018171335,0.00009031903,0.00017937578,0.0001335434,0.00009419783,0.000116079136,0.000028909051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006216043,0.00007113929,0.0006362449,0.000056064626,0.000019054576,3.994485e-7,0.00011206565,0.000037153062,0.00004789988,0.98087126,0.00012257171,0.01801994],"study_design_scores_gemma":[0.00043862718,0.000019041225,0.02712046,0.0000171406,0.000027669179,0.000005413749,0.000020111833,0.14407097,0.0000072997896,0.8215371,0.006461524,0.00027465008],"about_ca_topic_score_codex":0.00027611933,"about_ca_topic_score_gemma":0.00009155189,"teacher_disagreement_score":0.94092906,"about_ca_system_score_codex":0.00002041884,"about_ca_system_score_gemma":0.00004166325,"threshold_uncertainty_score":0.83730257},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07930236056479274,"score_gpt":0.2735779207384684,"score_spread":0.1942755601736757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027751088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004679168,0.00017838487,0.9828728,0.001000872,0.000010038983,0.0005630629,0.010455288,0.000016885968,0.00022353245],"genre_scores_gemma":[0.9853254,0.00021843529,0.011839403,0.0000893193,0.000018992187,0.00018488694,0.0022893748,0.000012003751,0.000022182525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885166,0.000005681496,0.0005747917,0.00036804768,0.000056548593,0.00014329894],"domain_scores_gemma":[0.9990091,0.000089499874,0.00029598756,0.0004272257,0.00008371412,0.000094524454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025002522,0.000103028186,0.00019746315,0.000044631368,0.00017960274,0.000051677598,0.00026760114,0.000054573473,0.0000020164207],"category_scores_gemma":[0.000068757996,0.00010164071,0.00001555955,0.00035905503,0.00005070251,0.00014482783,0.00010289351,0.00010108528,0.000010111034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000353884,0.000059241323,0.0025572402,0.000031186286,0.00002021919,1.2455435e-7,0.00029704382,0.53665364,0.000024616971,0.444359,0.00061906764,0.01534321],"study_design_scores_gemma":[0.00020962721,0.000023321718,0.010263537,0.0000058399655,0.000011397418,2.523795e-7,0.00003905657,0.9555394,0.000006467886,0.029787967,0.004007505,0.00010564955],"about_ca_topic_score_codex":0.00031505188,"about_ca_topic_score_gemma":0.00016639111,"teacher_disagreement_score":0.98064625,"about_ca_system_score_codex":0.000042624524,"about_ca_system_score_gemma":0.000025591105,"threshold_uncertainty_score":0.41447878},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.0365176281554098,"score_gpt":0.33281440484852004,"score_spread":0.2962967766931102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163389462","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013100831,0.000020434514,0.9851312,0.00010083591,0.000002223967,0.000106006715,0.00050315616,0.000023668985,0.0010116417],"genre_scores_gemma":[0.9771748,0.000011354464,0.022047319,0.00005657918,0.00005190233,0.000093684226,0.0004733195,0.000007544626,0.000083456456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927807,0.00013552152,0.0002197727,0.00016835923,0.000090992544,0.00010729424],"domain_scores_gemma":[0.99915695,0.00026716013,0.00014263422,0.00023932834,0.00011259374,0.00008130428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016263865,0.00009667098,0.00023748525,0.00006574063,0.00069431384,0.000039754075,0.00006319139,0.00003207075,0.00002419849],"category_scores_gemma":[0.000008379477,0.0001055216,0.00006279575,0.00057600794,0.000086604145,0.000016442744,0.00007035824,0.00018654214,3.6031943e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025322623,0.0006991239,0.01468451,0.00006981881,0.0014603646,6.1127884e-7,0.0005541757,0.04447548,0.0009107694,0.7113879,0.002186211,0.22354576],"study_design_scores_gemma":[0.0002768829,0.000034253175,0.015589167,0.0000055518713,0.0014529253,5.367535e-7,0.0002920144,0.5880943,0.00040200131,0.3910982,0.002516195,0.00023796764],"about_ca_topic_score_codex":0.00045231133,"about_ca_topic_score_gemma":0.00079550163,"teacher_disagreement_score":0.964074,"about_ca_system_score_codex":0.000020483134,"about_ca_system_score_gemma":0.000044594224,"threshold_uncertainty_score":0.5340171},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07217319801009585,"score_gpt":0.3940758617249435,"score_spread":0.32190266371484766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200373373","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012804058,0.00006070029,0.99176896,0.00014050215,0.00003630153,0.00036818234,0.0058035855,0.000044175045,0.0004972063],"genre_scores_gemma":[0.041453343,0.00004746931,0.9572943,0.000062489766,0.000024197545,0.00019894939,0.00047327843,0.000029625431,0.00041633318],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985078,0.0000815742,0.0005113593,0.00040135524,0.00026572298,0.00023219605],"domain_scores_gemma":[0.997496,0.0013460814,0.00020768435,0.00048645423,0.00029741906,0.00016635802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001919072,0.000200954,0.00041313877,0.000041658415,0.0002029674,0.000032456774,0.000106992054,0.000099831224,0.000022712764],"category_scores_gemma":[0.000563949,0.00018706545,0.000071216105,0.00022278192,0.00016414667,0.000035981222,0.00003990892,0.00015850567,0.000003228182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020478146,0.00035197756,0.0000031037243,0.000096311,0.000038291957,0.000007930113,0.000042848893,0.001993993,0.0005994886,0.96625733,0.001007354,0.029580878],"study_design_scores_gemma":[0.00046422106,0.000043692737,0.000060885144,0.00003104834,0.00014228244,0.000005606134,0.000017421804,0.2527679,0.0014804776,0.7423219,0.0024837747,0.00018081149],"about_ca_topic_score_codex":0.000003369784,"about_ca_topic_score_gemma":0.0000060179054,"teacher_disagreement_score":0.2507739,"about_ca_system_score_codex":0.0000486643,"about_ca_system_score_gemma":0.00008278654,"threshold_uncertainty_score":0.7628308},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.14157740713945796,"score_gpt":0.35566865069273174,"score_spread":0.21409124355327377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223418078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62620264,0.000072568066,0.3676427,0.002228927,0.000013009231,0.0014877383,0.0010779279,0.000019617582,0.0012548604],"genre_scores_gemma":[0.99385506,0.000091391776,0.0040658116,0.0002272372,0.000017470053,0.0016682191,0.00005357963,0.000009172091,0.000012081084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982413,0.0004223966,0.00025706273,0.0003339494,0.0005329369,0.00021235054],"domain_scores_gemma":[0.99845046,0.0010419923,0.000116597206,0.00030657207,0.00003370078,0.000050693365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005104126,0.00011677213,0.00023844882,0.00008443145,0.00059009274,0.00006644171,0.0002631694,0.000032990774,0.000032949778],"category_scores_gemma":[0.00003525028,0.00008389999,0.000015576774,0.0018109229,0.00015774921,0.000048272996,0.000055320146,0.0003779157,0.0000010564811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011004092,0.00026117594,0.73834294,0.0000036744207,0.00007968655,0.0000028414643,0.07927634,0.012875462,0.0000018256442,0.16737242,0.0001143019,0.0015592878],"study_design_scores_gemma":[0.00023322765,0.000061841965,0.92777455,0.000014954536,0.00008394632,6.726986e-8,0.06155869,0.0012282568,1.0881307e-8,0.008888697,0.00005277657,0.00010295776],"about_ca_topic_score_codex":0.0047251047,"about_ca_topic_score_gemma":0.03646416,"teacher_disagreement_score":0.3676524,"about_ca_system_score_codex":0.00025402347,"about_ca_system_score_gemma":0.000078027944,"threshold_uncertainty_score":0.98111784},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.16816328484024187,"score_gpt":0.35490447635534417,"score_spread":0.1867411915151023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223604613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1401254,0.00013807068,0.85465205,0.0009764854,0.00008622159,0.0012198279,0.00086870603,0.00027493946,0.0016583344],"genre_scores_gemma":[0.99352235,0.000010146415,0.004761328,0.00022049127,0.00005534946,0.0005702764,0.00047511442,0.000043185457,0.00034178287],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860823,0.000026242302,0.000308762,0.00043547063,0.0003803542,0.00024093456],"domain_scores_gemma":[0.9994094,0.00009530344,0.00018363415,0.00022068302,0.000072990944,0.000018020693],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00019465541,0.0002058373,0.00023157807,0.0001469456,0.0019877246,0.00018638349,0.00016560615,0.000024960591,0.00005314597],"category_scores_gemma":[0.000023329743,0.00021397384,0.000037213336,0.00041456625,0.000059496033,0.00012245827,0.00044695713,0.0004307382,0.000008684629],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047458067,0.0032442724,0.86445296,0.000060387367,0.0001422842,0.000038121714,0.00077617617,0.0061015473,0.000059307262,0.08584844,0.0008552651,0.03837381],"study_design_scores_gemma":[0.00176406,0.0001386209,0.1911829,0.000014371841,0.0007877414,0.0000089148125,0.0143925,0.7634605,5.0305204e-7,0.01098395,0.01645805,0.00080788665],"about_ca_topic_score_codex":0.00031085158,"about_ca_topic_score_gemma":0.00027916385,"teacher_disagreement_score":0.85339695,"about_ca_system_score_codex":0.00013913053,"about_ca_system_score_gemma":0.000020228006,"threshold_uncertainty_score":0.99931157},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.35236468582790154,"score_gpt":0.4765665338554062,"score_spread":0.12420184802750467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386955368","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017989179,0.000002498829,0.94923097,0.00033697844,0.000013300402,0.0009752284,0.047387075,0.0001713199,0.00008369974],"genre_scores_gemma":[0.23797585,0.000011584358,0.7483,0.00024005359,0.000063527754,0.00028835924,0.013049062,0.000036621568,0.000034902172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978509,0.000108286884,0.00042677842,0.0009641995,0.00032672402,0.0003231222],"domain_scores_gemma":[0.9953609,0.0015084869,0.00019642124,0.0022993712,0.00014750834,0.0004872939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006440763,0.00024253844,0.0002900732,0.000091482616,0.00048520794,0.00014950254,0.0007931236,0.0000903668,0.000013018035],"category_scores_gemma":[0.0016091871,0.00021422296,0.000009385058,0.00057672703,0.00013751636,0.00013566537,0.00046251065,0.00017680736,0.000016459435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012523345,0.00043104356,0.00036720862,0.0001614862,0.000039705268,0.0000048254383,0.00014478748,0.01132267,0.00044364552,0.88762844,0.004911623,0.09441936],"study_design_scores_gemma":[0.00030983085,0.00008355365,0.0008523482,0.000018131466,0.00009203508,0.0000030980273,0.000055390872,0.85317725,0.000006777733,0.14275736,0.0023872696,0.00025698313],"about_ca_topic_score_codex":0.00019091285,"about_ca_topic_score_gemma":0.0002725978,"teacher_disagreement_score":0.8418546,"about_ca_system_score_codex":0.00008836549,"about_ca_system_score_gemma":0.00023989142,"threshold_uncertainty_score":0.87357587},"labels":[],"label_agreement":null}]}