{"meta":{"query_hash":"be3a9acd98ff","filters":{"venue":"International Journal of Statistical 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/be3a9acd98ff","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Statistical+Sciences"},"results":[{"id":"W4405726833","doi":"10.3329/ijss.v24i20.78210","title":"Uniformly Minimum Variance Unbiased Estimators (UMVUE) Not Attaining Cramer-Rao Lower Bounds","year":2024,"lang":"en","type":"article","venue":"International Journal of Statistical Sciences","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"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 Alberta","funders":"University of West Florida","keywords":"Minimum-variance unbiased estimator; Cramér–Rao bound; Statistics; Estimator; Mathematics; Variance (accounting); Best linear unbiased prediction; Bias of an estimator; Computer science; Economics; Artificial intelligence","score_opus":0.10256572534281144,"score_gpt":0.44745514765785516,"score_spread":0.3448894223150437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405726833","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01808308,0.0020938546,0.9727727,0.00094380876,0.000168909,0.000104069164,0.00011617973,0.0003519718,0.005365407],"genre_scores_gemma":[0.44869587,0.0014668746,0.54520243,0.0012272511,0.0003208573,0.0007181499,0.00034012666,0.00028275556,0.0017456702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9446633,0.039456464,0.0021587403,0.004133281,0.0073834364,0.002204778],"domain_scores_gemma":[0.6817949,0.28113493,0.0094398465,0.018150417,0.008333122,0.0011467845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03711045,0.0015539319,0.0033727654,0.0025732939,0.0018916143,0.003877243,0.002985671,0.0039711585,0.003177198],"category_scores_gemma":[0.3249348,0.0013209186,0.0016131019,0.0036171696,0.0053797993,0.005125309,0.0047707576,0.00574374,0.00077917415],"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":[0.00066048565,0.000146577,0.008414168,0.00090511225,0.00053068675,0.00056475884,0.0005897909,0.09426352,0.0024323855,0.7879611,0.0061826217,0.097348854],"study_design_scores_gemma":[0.0002635827,0.0006709405,0.003957449,0.00074230414,0.00024170126,0.0016555305,0.00044253768,0.43746075,0.01132002,0.5316516,0.0114051895,0.00018839813],"about_ca_topic_score_codex":0.0021364233,"about_ca_topic_score_gemma":0.001613122,"teacher_disagreement_score":0.03711045,"about_ca_system_score_codex":0.0015172152,"about_ca_system_score_gemma":0.002433561,"threshold_uncertainty_score":0.19626117},"labels":[],"label_agreement":null}]}