{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004082421,0.000111229,0.0001671554,0.00005043893,0.0001626769,0.00006064364,0.00007414723,0.00003331626,0.00007026194],"category_scores_gemma":[0.001266003,0.0001038693,0.00001472606,0.00009013065,0.00005914034,0.00001741651,0.00005941563,0.00009577491,0.00001340839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435614,"about_ca_system_score_gemma":0.00003697483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001812545,"about_ca_topic_score_gemma":0.00001225015,"domain_scores_codex":[0.9991878,0.00006830785,0.0002258031,0.0001726154,0.0001182253,0.0002272037],"domain_scores_gemma":[0.9977757,0.001816125,0.00009932675,0.0001329524,0.00008288289,0.00009301883],"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":[0.000005008219,0.00003300572,0.003029909,0.00005133612,0.00001872169,0.0000171626,0.001241682,0.000003971659,0.00002137194,0.8501228,0.01525103,0.130204],"study_design_scores_gemma":[0.0002521834,0.00004636403,0.00433826,0.00003458427,0.00003691307,0.0000629385,0.0008628664,0.01597826,0.00004465503,0.9727927,0.005345416,0.0002048061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04556825,0.00008086523,0.9509886,0.00008498772,0.0005173259,0.00007858055,0.00004874185,0.00009380451,0.002538831],"genre_scores_gemma":[0.2029929,0.00004515602,0.7964138,0.0001107921,0.00008906564,0.000001631464,0.000008970321,0.00001575546,0.0003219053],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1574246,"threshold_uncertainty_score":0.4235668,"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."}}