{"meta":{"query_hash":"4e9ad1158ad3","filters":{"venue":"Revista Colombiana de Estadística"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/4e9ad1158ad3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Revista+Colombiana+de+Estad%C3%ADstica"},"results":[{"id":"W2070574762","doi":"10.15446/rce.v37n2spe.47939","title":"Exploring the Mobile Structural Assessment Tool: Concept Maps for Learning Website","year":2014,"lang":"en","type":"article","venue":"Revista Colombiana de Estadística","topic":"Innovative Teaching and Learning Methods","field":"Psychology","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":"University of Ottawa","funders":"","keywords":"Computer science; Machine learning; Data science; Mathematics education; Mathematics","score_opus":0.06577236848107781,"score_gpt":0.3813459602356312,"score_spread":0.3155735917545534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070574762","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":[0.69683385,0.00017375754,0.29038593,0.00043894516,0.00092342234,0.00090417813,0.00001975834,0.00030494147,0.010015224],"genre_scores_gemma":[0.97108257,0.0000060603966,0.02329489,0.00037423905,0.0005146075,0.0006110449,0.00004900806,0.000067224486,0.0040003704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99556524,0.0026044536,0.00044279484,0.00048440121,0.00021910167,0.00068398396],"domain_scores_gemma":[0.99594414,0.0030354823,0.00024863533,0.0005281607,0.00015333547,0.000090230635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045485958,0.00026496817,0.00040513178,0.00008698513,0.0007765405,0.00022621008,0.00038778508,0.000093391536,0.0003795353],"category_scores_gemma":[0.0016592689,0.00021075117,0.0001522807,0.0003055075,0.0002019378,0.000109429646,0.0000743395,0.0010572241,0.000054605804],"study_design_candidate":"not_applicable","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":[0.00013613794,0.00006358131,0.012742788,0.00012024475,0.00019881467,0.000010966926,0.0070193526,0.0011871654,0.001123375,0.554961,0.005414477,0.41702205],"study_design_scores_gemma":[0.0010571098,0.0009607081,0.1310575,0.0000975958,0.00013041607,0.00003343412,0.0018419856,0.0064840945,0.00005223406,0.0012505708,0.8565431,0.00049122755],"about_ca_topic_score_codex":0.0000557227,"about_ca_topic_score_gemma":0.0000017144802,"teacher_disagreement_score":0.85112864,"about_ca_system_score_codex":0.00017906199,"about_ca_system_score_gemma":0.0000821105,"threshold_uncertainty_score":0.85941833},"labels":[],"label_agreement":null},{"id":"W2095229143","doi":"10.15446/rce.v37n2spe.47934","title":"Recent Advances in Visualizing Multivariate Linear Models","year":2014,"lang":"en","type":"article","venue":"Revista Colombiana de Estadística","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Multivariate statistics; Ellipsoid; Pairwise comparison; Context (archaeology); Mathematics; Canonical correlation; Rank (graph theory); Visualization; Multivariate analysis; Extension (predicate logic); Statistics; Computer science; Data mining; Combinatorics; Geography","score_opus":0.04468509851055038,"score_gpt":0.3265081838678213,"score_spread":0.28182308535727096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095229143","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":[0.8227056,0.009042535,0.13577974,0.003163305,0.00022479818,0.0010092593,0.00013419439,0.0003527774,0.027587736],"genre_scores_gemma":[0.97944224,0.0030450113,0.016672248,0.00051306444,0.0001579268,0.000020174159,0.000030009172,0.00000273349,0.00011657626],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99779564,0.0007164596,0.00042034496,0.00040927107,0.00020899731,0.00044931512],"domain_scores_gemma":[0.99782133,0.0016906824,0.00010736227,0.00009658246,0.00008446728,0.00019956828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011844432,0.00017528006,0.00039830434,0.000024008079,0.00013902759,0.00008738442,0.00022336375,0.00010202297,0.0003313549],"category_scores_gemma":[0.0017255931,0.000080151134,0.000088076034,0.0005554152,0.00007016818,0.00015246363,0.00005025987,0.00019046619,0.000027287977],"study_design_candidate":"design_other","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":[0.000057293833,0.00014058154,0.0012115551,0.000025027945,0.000009410614,0.000014623077,0.000038947892,0.0007078064,0.008891378,0.10676624,0.00005116234,0.882086],"study_design_scores_gemma":[0.00036977517,0.0003977982,0.026884051,0.00014855037,0.00006506686,0.000007092119,0.00020641398,0.4655378,0.00030099717,0.021916682,0.4836215,0.0005442666],"about_ca_topic_score_codex":0.00007956238,"about_ca_topic_score_gemma":0.00020949714,"teacher_disagreement_score":0.8815417,"about_ca_system_score_codex":0.0000673746,"about_ca_system_score_gemma":0.000011956705,"threshold_uncertainty_score":0.36281037},"labels":[],"label_agreement":null},{"id":"W3044882181","doi":"10.15446/rce.v43n2.81979","title":"On Predictive Distribution of K-Inﬂated Poisson Models with and Without Additional Information","year":2020,"lang":"en","type":"article","venue":"Revista Colombiana de Estadística","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","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":"Brock University","funders":"","keywords":"Poisson distribution; Estimator; Random variable; Mathematics; Statistics; Bayesian probability; Variable (mathematics); Observable; Random effects model; Applied mathematics; Computer science; Algorithm; Mathematical analysis; Physics","score_opus":0.03176814174912603,"score_gpt":0.2936605017613618,"score_spread":0.2618923600122358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044882181","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":[0.014546617,0.000008100068,0.9793326,0.00026159763,0.000006542587,0.00033499542,0.0041755913,0.00005596149,0.0012779603],"genre_scores_gemma":[0.8521395,0.000009474126,0.14724255,0.00016528508,0.000016855172,0.00003381397,0.00037729627,0.00001037195,0.0000048628776],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989542,0.000117767704,0.00031950747,0.00016123214,0.00027078405,0.00017652128],"domain_scores_gemma":[0.9981929,0.0011028296,0.00019538117,0.00012279047,0.0002039786,0.00018213068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001792073,0.0001413124,0.00029686658,0.000028564902,0.000062927626,0.000054241682,0.00007878195,0.00007374367,0.0002205903],"category_scores_gemma":[0.0025896546,0.000117066884,0.000026468402,0.00019542816,0.00014379302,0.00019827172,0.000026562702,0.0001593373,0.0000053641984],"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":[0.00049356814,0.000055759305,0.00017909428,0.00033545162,0.000037513244,0.0000028791983,0.00022311299,0.0000224501,0.000021247071,0.988952,0.0046610283,0.0050158864],"study_design_scores_gemma":[0.0013806743,0.0025003003,0.008859915,0.0008456392,0.00026748923,0.000022785784,0.00016626119,0.26974928,0.00017267054,0.7143658,0.0012891241,0.0003800724],"about_ca_topic_score_codex":0.0000071252075,"about_ca_topic_score_gemma":8.6369863e-7,"teacher_disagreement_score":0.8375929,"about_ca_system_score_codex":0.000061279876,"about_ca_system_score_gemma":0.000113881906,"threshold_uncertainty_score":0.4773849},"labels":[],"label_agreement":null},{"id":"W4406970609","doi":"10.15446/rce.v47n2.110557","title":"Joint Occurrences of Competing Risks and Multivariate Longitudinal Data: A Prediction Investigation for the HIV. long Data","year":2024,"lang":"en","type":"article","venue":"Revista Colombiana de Estadística","topic":"Statistical Methods and Inference","field":"Mathematics","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":"Carleton University","funders":"","keywords":"Multivariate statistics; Longitudinal data; Joint (building); Human immunodeficiency virus (HIV); Computer science; Multivariate analysis; Data mining; Econometrics; Artificial intelligence; Machine learning; Mathematics; Medicine; Engineering; Virology","score_opus":0.4528576933745224,"score_gpt":0.45021972581286673,"score_spread":0.0026379675616556852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406970609","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":[0.017686391,0.001572698,0.97471875,0.0005107702,0.00017432809,0.0006880881,0.00450383,0.00007440004,0.00007076605],"genre_scores_gemma":[0.67645705,0.00024024864,0.3227289,0.000023754477,0.00015214086,0.000038559017,0.00031719476,0.000021543492,0.000020630043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982598,0.00024321552,0.00054370373,0.0005037149,0.00021697745,0.00023258774],"domain_scores_gemma":[0.98879606,0.009941042,0.00018028397,0.0008706452,0.000113201466,0.00009879447],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0031739422,0.00015392993,0.00031578288,0.00005193992,0.00017099378,0.00026636285,0.00049001543,0.00006743481,0.000028889204],"category_scores_gemma":[0.016002843,0.00011073691,0.00002981386,0.00020878427,0.000316363,0.0002101896,0.000433814,0.00022154658,0.0000026757414],"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":[0.000082219645,0.000118707096,0.019019863,0.006733039,0.00034688972,0.000021376525,0.00085950736,0.00001425462,0.0007403031,0.82956505,0.013361691,0.12913713],"study_design_scores_gemma":[0.00024915423,0.00012644475,0.040337346,0.0013858661,0.0007177165,0.000024417028,0.00019821,0.9111905,0.000052856256,0.043098673,0.0024500017,0.0001687794],"about_ca_topic_score_codex":0.00011166341,"about_ca_topic_score_gemma":0.00002386256,"teacher_disagreement_score":0.91117626,"about_ca_system_score_codex":0.000035990113,"about_ca_system_score_gemma":0.0001935445,"threshold_uncertainty_score":0.9922858},"labels":[],"label_agreement":null}]}