{"meta":{"query_hash":"21baefef11e1","filters":{"venue":"Global Journal of Pure and Applied Sciences"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/21baefef11e1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Global+Journal+of+Pure+and+Applied+Sciences"},"results":[{"id":"W2463809853","doi":"","title":"Optimal strategies for controlling the MERS coronavirus during a mass gathering","year":2015,"lang":"en","type":"article","venue":"Global Journal of Pure and Applied Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","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":"University of Manitoba","funders":"","keywords":"Middle East respiratory syndrome coronavirus; Quarantine; Transmission (telecommunications); Vaccination; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mass vaccination; Basic reproduction number; Computer science; Coronavirus; Mathematical optimization; Mathematics; Operations research; Medicine; Virology; Biology; Environmental health; Disease; Ecology; Infectious disease (medical specialty)","score_opus":0.23418191739346894,"score_gpt":0.415700848219979,"score_spread":0.18151893082651005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463809853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3811058,0.0013757084,0.5827953,0.0016519557,0.00023580146,0.0004263099,0.00043785738,0.00037927748,0.031591985],"genre_scores_gemma":[0.9757734,0.0003650246,0.015797745,0.00010797745,0.00003204706,0.0002597891,0.00009733121,0.000030747666,0.0075359247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944144,0.00021267738,0.000019586882,0.00010540651,0.000061575716,0.00015933951],"domain_scores_gemma":[0.9981521,0.0011213414,0.0003616446,0.000045597637,0.00013869311,0.00018063099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014334699,0.001822476,0.0016923428,0.00089210924,0.0006664383,0.0014712261,0.0015502675,0.0024888678,0.0039465125],"category_scores_gemma":[0.0034668716,0.00073753187,0.0011448473,0.00041441564,0.0017619451,0.0010820548,0.0017098555,0.0012939484,0.00027100366],"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":[0.0000810516,0.000040971863,0.00032817325,0.000037493588,0.000029942368,0.00007297674,0.00004435733,0.9893455,0.00058222096,0.007464136,0.0002797498,0.0016934834],"study_design_scores_gemma":[0.00004046651,0.000086055494,0.00014135453,0.0000070909437,0.00001715651,0.000007399987,0.00003148501,0.9959269,0.000087411754,0.0034078595,0.0002391899,0.000007677434],"about_ca_topic_score_codex":0.01570558,"about_ca_topic_score_gemma":0.0070150266,"teacher_disagreement_score":0.01570558,"about_ca_system_score_codex":0.0018237812,"about_ca_system_score_gemma":0.0017415499,"threshold_uncertainty_score":0.031228364},"labels":[],"label_agreement":null}]}