{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"4e9ad1158ad3","filters":{"venue":"Revista Colombiana de Estadística"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Michael Friendly","is_ca":true},{"name":"Matthew Sigal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04468509851055038,"gpt":0.3265081838678213,"spread":0.281823085357271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01278205,0.002889221,0.00236854,0.006584991,0.0008878938,0.006946255,0.003032009,0.001823977,0.01175588],"category_scores_gemma":[0.05009743,0.001723328,0.003497781,0.009363813,0.002521701,0.006743811,0.003828692,0.004984676,0.003626586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716625,"about_ca_system_score_gemma":0.002008003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005839299,"about_ca_topic_score_gemma":0.005042743,"domain_scores_codex":[0.988288,0.007007406,0.0006535258,0.001343616,0.002511191,0.0001963609],"domain_scores_gemma":[0.9526148,0.03716075,0.001830428,0.003628886,0.004102263,0.0006627881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001208128,0.00006697642,0.002310845,0.003834294,0.0005244648,0.0001793314,0.001643179,0.03413367,0.003260247,0.1767847,0.03482765,0.7423138],"study_design_scores_gemma":[0.0000693455,0.0001311605,0.003444636,0.001593412,0.0002949966,0.0008791762,0.0006571216,0.189134,0.005442791,0.2872244,0.5107184,0.0004105661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00139504,0.03659989,0.9487854,0.002895506,0.0005637782,0.00004343702,0.0004792126,0.004262521,0.004975223],"genre_scores_gemma":[0.02946623,0.05432348,0.906509,0.0007500713,0.00240332,0.0002733499,0.001226123,0.002214137,0.002834175],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01278205,"threshold_uncertainty_score":0.06759876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Machine learning; Data science; Mathematics education; Mathematics","authors":[{"name":"Mehmet Filiz","is_ca":true},{"name":"David L. Trumpower","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06577236848107781,"gpt":0.3813459602356312,"spread":0.3155735917545534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231673,0.0005195952,0.0001886979,0.002866305,0.0006793882,0.004519823,0.0007123605,0.0006887311,0.008382712],"category_scores_gemma":[0.01150672,0.0001979006,0.0003359107,0.00202527,0.0006344836,0.004316405,0.001942654,0.0007711693,0.001077201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009736838,"about_ca_system_score_gemma":0.001759179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005793538,"about_ca_topic_score_gemma":0.01035576,"domain_scores_codex":[0.999334,0.0003166649,0.00002984819,0.00007990166,0.0001936293,0.00004585667],"domain_scores_gemma":[0.9943671,0.004255271,0.0002330045,0.0003128167,0.0006431664,0.0001885885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003169163,0.0004524593,0.02862222,0.001777238,0.00006521052,0.0009960592,0.1313265,0.004186389,0.01693219,0.07658837,0.01810819,0.7206283],"study_design_scores_gemma":[0.0001742194,0.0007050356,0.07784846,0.002239355,0.000266311,0.001979597,0.1703841,0.06713212,0.0212306,0.07183196,0.5858957,0.0003125439],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5219377,0.0008009548,0.3711031,0.002769458,0.0001586073,0.0009830218,0.00349828,0.00613153,0.09261744],"genre_scores_gemma":[0.7340623,0.0003816663,0.25571,0.00008835045,0.00001803815,0.0005285391,0.0007390583,0.0004688174,0.00800321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008382712,"threshold_uncertainty_score":0.02804297,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Abdolnasser Sadeghkhani","is_ca":false},{"name":"S. Ejaz Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03176814174912603,"gpt":0.2936605017613618,"spread":0.2618923600122358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01667445,0.001157202,0.002386929,0.002572368,0.001094906,0.002661872,0.004266705,0.002004635,0.003393882],"category_scores_gemma":[0.06418267,0.001193513,0.002093679,0.00222958,0.003435569,0.006209673,0.002781323,0.004396678,0.000533931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553248,"about_ca_system_score_gemma":0.002020302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01326192,"about_ca_topic_score_gemma":0.008033659,"domain_scores_codex":[0.9960001,0.002449127,0.0001281343,0.0006174895,0.0005539824,0.0002512033],"domain_scores_gemma":[0.9458335,0.04693897,0.002516342,0.002202929,0.001983859,0.0005244467],"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":[0.0001625949,0.00005869443,0.006250576,0.0002616895,0.0001680765,0.0002851573,0.0005217964,0.4458835,0.0005805725,0.5036024,0.002740509,0.03948431],"study_design_scores_gemma":[0.00001242491,0.00002182854,0.0006903882,0.0000634532,0.00003798051,0.00007771432,0.00005670598,0.8891284,0.0002617868,0.1085523,0.001063595,0.00003333093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02892694,0.00133508,0.9654472,0.0009490123,0.00007654801,0.00005554399,0.0002151417,0.0002004981,0.002793988],"genre_scores_gemma":[0.6825475,0.005918216,0.2965414,0.0007417373,0.0007249881,0.0005311319,0.001641902,0.0003884506,0.01096462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667445,"threshold_uncertainty_score":0.08818394,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jaber Kazempoor","is_ca":false},{"name":"Arezou Habibirad","is_ca":false},{"name":"Sanjoy K. Sinha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4528576933745224,"gpt":0.4502197258128667,"spread":0.002637967561655685,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0249928,0.001261745,0.00124813,0.001983941,0.0008623522,0.002157397,0.003036723,0.001545044,0.003053164],"category_scores_gemma":[0.05853449,0.0006327732,0.002104845,0.002215356,0.001678075,0.003313468,0.002519269,0.004559026,0.0003677091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133189,"about_ca_system_score_gemma":0.001895724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00691931,"about_ca_topic_score_gemma":0.005903998,"domain_scores_codex":[0.9930326,0.004440407,0.000288308,0.001089006,0.0008186535,0.0003310856],"domain_scores_gemma":[0.9168952,0.07152608,0.004676477,0.003548716,0.002403114,0.0009503539],"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":[0.0005372994,0.0003000243,0.09108054,0.0008702471,0.0007906713,0.001344335,0.001282946,0.312388,0.0009680622,0.3735525,0.005747749,0.2111377],"study_design_scores_gemma":[0.00001894063,0.0001340679,0.005630651,0.00009355156,0.0001107473,0.0002922805,0.0001933854,0.9048318,0.0003211075,0.08598653,0.002340379,0.0000465224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03832617,0.002697923,0.9554299,0.001562894,0.0001586853,0.0001181747,0.0005370319,0.0001684459,0.001000904],"genre_scores_gemma":[0.6765994,0.003286476,0.3101464,0.0004795552,0.0005805405,0.0006441189,0.001611483,0.0001357426,0.006516311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0249928,"threshold_uncertainty_score":0.1321761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}