{"meta":{"query_hash":"fafc27b9c89c","filters":{"venue":"Annals of Clinical Epidemiology"},"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/fafc27b9c89c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Annals+of+Clinical+Epidemiology"},"results":[{"id":"W4380078153","doi":"10.37737/ace.24005","title":"Expanding the Scope: In-depth Review of Interaction in Regression Models","year":2023,"lang":"en","type":"article","venue":"Annals of Clinical Epidemiology","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Scope (computer science); Regression analysis; Regression; Computer science; Statistics; Mathematics; Machine learning; Programming language","score_opus":0.8382757625406602,"score_gpt":0.688780474330315,"score_spread":0.1494952882103452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380078153","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001563947,0.9891745,0.007434439,0.0022304168,0.0006632439,0.000008827527,0.000040718543,0.000012466785,0.00027894066],"genre_scores_gemma":[0.005463178,0.9749155,0.009572046,0.004416001,0.00515359,0.000060315233,0.000077425466,0.000037201404,0.00030470418],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9825399,0.011914258,0.0017336655,0.0013808587,0.002203336,0.00022809161],"domain_scores_gemma":[0.8860766,0.107572936,0.001976052,0.001270715,0.0027559905,0.0003476757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02205976,0.001868102,0.005287041,0.003881544,0.00040929427,0.0032787654,0.003438233,0.0037242696,0.003243166],"category_scores_gemma":[0.065675594,0.0010489004,0.003973234,0.0063325544,0.0026130653,0.00591943,0.0020854413,0.0069822166,0.0009293593],"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":[0.0003070151,0.00017145932,0.002271442,0.07361622,0.00297463,0.0002836784,0.0005270843,0.0044064457,0.0006547114,0.095689744,0.04428311,0.7748145],"study_design_scores_gemma":[0.00016542149,0.00061279343,0.006838549,0.057162773,0.0053141196,0.002147337,0.00038893765,0.0089270985,0.00086353224,0.21472026,0.7025502,0.00030896818],"about_ca_topic_score_codex":0.0027052911,"about_ca_topic_score_gemma":0.0036291988,"teacher_disagreement_score":0.02205976,"about_ca_system_score_codex":0.0017854313,"about_ca_system_score_gemma":0.004977577,"threshold_uncertainty_score":0.11666453},"labels":[],"label_agreement":null}]}