{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"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":"be3a9acd98ff","filters":{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Subhash Bagui","is_ca":false},{"name":"K. L. Mehra","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1025657253428114,"gpt":0.4474551476578552,"spread":0.3448894223150437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03711045,0.001553932,0.003372765,0.002573294,0.001891614,0.003877243,0.002985671,0.003971159,0.003177198],"category_scores_gemma":[0.3249348,0.001320919,0.001613102,0.00361717,0.005379799,0.005125309,0.004770758,0.00574374,0.0007791742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517215,"about_ca_system_score_gemma":0.002433561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136423,"about_ca_topic_score_gemma":0.001613122,"domain_scores_codex":[0.9446633,0.03945646,0.00215874,0.004133281,0.007383436,0.002204778],"domain_scores_gemma":[0.6817949,0.2811349,0.009439847,0.01815042,0.008333122,0.001146785],"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":[0.0006604856,0.000146577,0.008414168,0.0009051122,0.0005306868,0.0005647588,0.0005897909,0.09426352,0.002432385,0.7879611,0.006182622,0.09734885],"study_design_scores_gemma":[0.0002635827,0.0006709405,0.003957449,0.0007423041,0.0002417013,0.001655531,0.0004425377,0.4374608,0.01132002,0.5316516,0.01140519,0.0001883981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01808308,0.002093855,0.9727727,0.0009438088,0.000168909,0.0001040692,0.0001161797,0.0003519718,0.005365407],"genre_scores_gemma":[0.4486959,0.001466875,0.5452024,0.001227251,0.0003208573,0.0007181499,0.0003401267,0.0002827556,0.00174567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03711045,"threshold_uncertainty_score":0.1962612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}