{"id":"W1986790556","doi":"10.1081/sac-200055641","title":"BLUEs of Parameters of Generalized Geometric Distribution Using Ordered Ranked Set Sampling","year":2005,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"RSS; Mathematics; Statistics; Population; Algorithm; Computer science; World Wide Web; Demography","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":[0.0004194481,0.0001434475,0.0003227036,0.000266831,0.0001576414,0.00002814888,0.0001938801,0.00008296492,0.00002365616],"category_scores_gemma":[0.001383304,0.0001631189,0.00003918256,0.0008918484,0.0002499771,0.0001379078,0.00008662118,0.0001242415,0.000001960458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092421,"about_ca_system_score_gemma":0.00005488225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005944855,"about_ca_topic_score_gemma":0.00003023753,"domain_scores_codex":[0.9981554,0.0002158359,0.001061175,0.0001850917,0.0002406151,0.0001418754],"domain_scores_gemma":[0.9952977,0.0031007,0.000579661,0.0004312492,0.0005325246,0.00005813411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003932498,0.0003731516,0.0007746244,0.0001207573,0.00004038382,9.725543e-8,0.0005320751,0.4236611,0.0002735959,0.5319775,0.00008173909,0.04212562],"study_design_scores_gemma":[0.0008864278,0.00002474745,0.008259921,0.00005195326,0.00006236864,0.000001255119,0.0001371494,0.9069954,0.0001514912,0.08320496,0.00009106909,0.0001332868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1752074,0.00009773123,0.8230376,0.00009290055,0.00001851425,0.0003486045,0.001120055,0.00003137163,0.00004580232],"genre_scores_gemma":[0.5912104,0.00003743763,0.4075654,0.00001165441,0.000004560494,0.00001363304,0.001145535,0.000008493886,0.000002852046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4833342,"threshold_uncertainty_score":0.6651796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3985130976066716,"score_gpt":0.5160194895452063,"score_spread":0.1175063919385346,"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."}}