{"id":"W1534178884","doi":"10.1023/a:1026509916251","title":"Mean likelihood estimators","year":2001,"lang":"en","type":"article","venue":"Statistics and Computing","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada; Western University","funders":"","keywords":"Estimator; Statistics; Mathematics; Exponential family; Mean squared error; Applied mathematics; Bayes estimator; Negative binomial distribution; Binomial (polynomial); Bayes' theorem; M-estimator; Computer science; Bayesian probability; Poisson distribution","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":[0.005545356,0.001198364,0.002150595,0.002936637,0.001250568,0.004157369,0.002582327,0.003072717,0.01497786],"category_scores_gemma":[0.04432058,0.001198035,0.002040775,0.002840523,0.001402405,0.004934502,0.00286172,0.003541839,0.009572853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009717792,"about_ca_system_score_gemma":0.001745232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008326259,"about_ca_topic_score_gemma":0.001450263,"domain_scores_codex":[0.995663,0.002316069,0.0001446571,0.0007656206,0.0009103703,0.0002002897],"domain_scores_gemma":[0.9890408,0.006720766,0.0005230966,0.002246343,0.001309704,0.0001592798],"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":[0.0001725691,0.0001079665,0.003189107,0.000300419,0.0003598675,0.000136491,0.0002317919,0.04366259,0.0027801,0.5647594,0.02042306,0.3638766],"study_design_scores_gemma":[0.00006299409,0.00007247423,0.001931461,0.0001336837,0.0001571723,0.0007151411,0.0001005451,0.319173,0.005022911,0.6353287,0.03722329,0.00007862871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001564233,0.0005952552,0.993432,0.000224634,0.00008302595,0.00002954625,0.0001232052,0.0004772895,0.003470916],"genre_scores_gemma":[0.140086,0.001984158,0.8259107,0.0007822723,0.0007703091,0.0005294681,0.001722127,0.001155173,0.02705977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01497786,"threshold_uncertainty_score":0.05010599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125180172437987,"score_gpt":0.4092721382161505,"score_spread":0.2967541209723518,"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."}}