{"id":"W4206627437","doi":"10.1007/978-3-030-83670-2_3","title":"The Legend of the Equality of OLSE and BLUE: Highlighted by C. R. Rao in 1967","year":2021,"lang":"en","type":"book-chapter","venue":"Contributions to statistics","topic":"Random Matrices and Applications","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Rank (graph theory); Best linear unbiased prediction; Estimator; Mathematics; Covariance matrix; Statistics; Matrix (chemical analysis); Covariance; Applied mathematics; Combinatorics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197698,0.001413664,0.0009752538,0.001839275,0.001413063,0.003275672,0.0008943792,0.001915745,0.07504085],"category_scores_gemma":[0.007031091,0.0006739146,0.0006167957,0.002776046,0.003103754,0.003890057,0.001406307,0.006231584,0.07584806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459393,"about_ca_system_score_gemma":0.001732908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003888848,"about_ca_topic_score_gemma":0.006213948,"domain_scores_codex":[0.9989058,0.0002861616,0.0000585734,0.0002411996,0.000435087,0.00007311991],"domain_scores_gemma":[0.9976567,0.001130361,0.0001159943,0.0001933733,0.0007649936,0.0001385881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003748767,0.000006657566,0.00007020197,0.0001796656,0.00000650405,0.00006522938,0.0001312565,0.0001694151,0.0003519271,0.08853481,0.8400515,0.07039532],"study_design_scores_gemma":[0.000002674706,0.00001241513,0.0001064322,0.0001061113,0.000002989008,0.0002201965,0.00004749615,0.0001261868,0.0002624306,0.01946769,0.9796335,0.00001191164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009474291,0.1001655,0.07172984,0.04865089,0.1505691,0.00009431367,0.002314502,0.00194493,0.6235835],"genre_scores_gemma":[0.01411348,0.04769931,0.03919303,0.01280468,0.02312563,0.0001024614,0.0009218141,0.002781821,0.8592577],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07504085,"threshold_uncertainty_score":0.2510366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244956540119341,"score_gpt":0.3183010405852081,"score_spread":0.2958514751840147,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}