{"id":"W2168884061","doi":"10.1016/s0167-6687(02)00130-0","title":"Estimators of the regression parameters of the zeta distribution","year":2002,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Statistics; Estimator; Likelihood function; Restricted maximum likelihood; M-estimator; Variance function; Estimation theory; Applied mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01057108,0.0009281186,0.001055949,0.003944532,0.0004846807,0.002736758,0.002052511,0.001759732,0.005525695],"category_scores_gemma":[0.08969504,0.0008332712,0.0007767244,0.001445619,0.00265465,0.005661846,0.002056712,0.003726952,0.00151713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135111,"about_ca_system_score_gemma":0.001207477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076302,"about_ca_topic_score_gemma":0.0008116474,"domain_scores_codex":[0.9981621,0.00110406,0.00006661619,0.0002755461,0.0002695258,0.0001221391],"domain_scores_gemma":[0.962557,0.02860796,0.003289035,0.002507278,0.002260657,0.0007780606],"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":[0.0001933191,0.00008692311,0.006552415,0.0001762186,0.000135565,0.00005530889,0.0002231445,0.0906046,0.002225392,0.8376009,0.003333643,0.05881243],"study_design_scores_gemma":[0.00007246238,0.00003200257,0.002786915,0.0001079842,0.00004188712,0.00008252545,0.00008797104,0.4440323,0.001310051,0.5494504,0.001931132,0.00006438499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04300895,0.0005857495,0.9525111,0.0008150906,0.00008147211,0.00003354522,0.0001937262,0.0003210423,0.002449367],"genre_scores_gemma":[0.7908346,0.002920933,0.1933733,0.0003748726,0.0005381666,0.0003671608,0.001301555,0.0005167473,0.009772718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01057108,"threshold_uncertainty_score":0.05590588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554313715532154,"score_gpt":0.2871325012176768,"score_spread":0.2317011296644614,"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."}}