{"id":"W1539596002","doi":"10.1109/acc.1994.752473","title":"A multiple model least-squares estimation method","year":2005,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inversion (geology); Least-squares function approximation; Mathematics; Applied mathematics; Matrix (chemical analysis); Numerical analysis; Order (exchange); Mathematical optimization; Mathematical analysis; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000985926,0.00005280434,0.00006445488,0.00003935263,0.0000231485,0.00003186304,0.00003981393,0.00002878006,0.00003844119],"category_scores_gemma":[0.00001745709,0.00004960815,0.00002620655,0.00004109862,0.000001983994,0.0001750296,0.000004163539,0.00003039313,0.0001620557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003373537,"about_ca_system_score_gemma":0.000003392866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005149417,"about_ca_topic_score_gemma":0.0001723759,"domain_scores_codex":[0.9996486,0.000007461674,0.0001289971,0.00007064798,0.00006502312,0.00007926232],"domain_scores_gemma":[0.9998104,0.00001947905,0.00001099003,0.0001140405,0.00002002107,0.00002505844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.235202e-7,0.00000440236,0.00001744662,0.000009319661,0.00000495735,2.74967e-8,0.00009285477,0.8715624,0.01476385,0.000759594,0.001572934,0.1112113],"study_design_scores_gemma":[0.0001602092,0.000001746328,0.0003254905,0.000003921191,0.000004390734,9.105299e-7,0.00001468854,0.9943787,0.002501919,0.0001399939,0.002406484,0.00006149183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01225844,0.00009719389,0.9812615,0.0001243153,0.00006182693,0.000104647,0.000002073959,0.0003009822,0.005789045],"genre_scores_gemma":[0.8927988,0.000002246712,0.1056555,0.00001320023,0.00005796352,0.00002426216,0.000005322228,0.000009777097,0.001432844],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8805404,"threshold_uncertainty_score":0.2082952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222658623859855,"score_gpt":0.2431600465177735,"score_spread":0.2309334602791749,"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."}}