{"id":"W2558699173","doi":"10.1007/978-981-10-2594-5_11","title":"Maximum Smoothed Likelihood Estimation of the Centre of a Symmetric Distribution","year":2016,"lang":"en","type":"book-chapter","venue":"ICSA book series in statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Estimator; Mathematics; Statistics; Robustness (evolution); Mean squared error; Trimmed estimator; Distribution (mathematics); M-estimator; Applied mathematics; Efficient estimator; Minimum-variance unbiased estimator; Mathematical analysis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003372909,0.0003631203,0.0007951735,0.0001136788,0.00005361219,0.00000952724,0.0002892966,0.0003012863,0.0002218817],"category_scores_gemma":[0.002596995,0.0002596982,0.0001192487,0.00009079104,0.0004817566,0.0001235456,0.0001636654,0.0003066433,0.000004601343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883926,"about_ca_system_score_gemma":0.0001516921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005957645,"about_ca_topic_score_gemma":0.0000381323,"domain_scores_codex":[0.9976817,0.0000903079,0.001110625,0.0003095751,0.0005131078,0.0002946213],"domain_scores_gemma":[0.9957911,0.00205723,0.001100252,0.0006319605,0.0003507394,0.00006869893],"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":[0.00006353979,0.00004178898,0.000004196954,0.0006470608,0.00004192979,0.000006421316,0.0001114173,0.00002002897,0.00001659854,0.9455882,0.001253417,0.0522054],"study_design_scores_gemma":[0.0003847263,0.00009246315,0.00002402307,0.0009516847,0.0001546266,0.000004369495,0.00001545761,0.0006581865,0.0003153789,0.979501,0.01763866,0.0002594149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007678736,0.0002349013,0.9344858,0.0001070835,0.0002814755,0.0005876948,0.01628559,0.00002261979,0.04798716],"genre_scores_gemma":[0.002220962,0.0009786193,0.8762534,0.00003875705,0.00007428,0.00002045536,0.0002421315,0.0001520037,0.1200194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07203223,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760305273555548,"score_gpt":0.3335622171835504,"score_spread":0.2959591644479949,"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."}}