{"meta":{"query_hash":"4cabddfc9ea0","filters":{"venue":"Journal of Applied Statistics Environmental Statistics and Data Science"},"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/4cabddfc9ea0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Applied+Statistics+Environmental+Statistics+and+Data+Science"},"results":[{"id":"W4407136535","doi":"10.1080/29984688.2025.2449780","title":"Introducing <i>Journal of Applied Statistics: Environmental Statistics and Data Science</i>","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Statistics Environmental Statistics and Data Science","topic":"Forecasting Techniques and Applications","field":"Decision 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":"University of Victoria","funders":"Augusta University","keywords":"Statistics; Summary statistics; Data science; Computer science; Mathematics","score_opus":0.050098143660706626,"score_gpt":0.3593723721687577,"score_spread":0.3092742285080511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407136535","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034305407,0.021153042,0.011202075,0.15875576,0.79195327,0.0001055794,0.0012625027,0.00088953035,0.014335148],"genre_scores_gemma":[0.004529476,0.02608559,0.013972325,0.059561245,0.8514564,0.00017869232,0.0015794302,0.0019736015,0.040663265],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98451257,0.002973109,0.0028861202,0.002047046,0.007079855,0.0005014072],"domain_scores_gemma":[0.81408757,0.060001466,0.010288939,0.008666846,0.09275869,0.01419659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021513697,0.0018585065,0.0026496702,0.008498118,0.002076641,0.013755299,0.0022753403,0.0055534686,0.032694705],"category_scores_gemma":[0.11026292,0.0010839852,0.0017260178,0.0077473028,0.004423499,0.0063681547,0.0022533454,0.015595458,0.039354183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019383615,0.000013498794,0.00032507625,0.00027195737,0.00002463952,0.000033828586,0.000028247221,0.00005398477,0.00018929297,0.0025235682,0.978316,0.018200474],"study_design_scores_gemma":[0.000013193729,0.000044479897,0.0012903009,0.000394842,0.000025453659,0.00026360244,0.00007368119,0.00044116145,0.000245957,0.00659667,0.9905619,0.000048730584],"about_ca_topic_score_codex":0.0019251058,"about_ca_topic_score_gemma":0.0038421443,"teacher_disagreement_score":0.032694705,"about_ca_system_score_codex":0.0026545678,"about_ca_system_score_gemma":0.008209119,"threshold_uncertainty_score":0.113776684},"labels":[],"label_agreement":null}]}