{"id":"W4417101067","doi":"10.5539/ijsp.v13n4p64","title":"Moving Set Size Ranked Set Sampling","year":2024,"lang":"","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Sampling (signal processing); Variation (astronomy); Cumulative distribution function; Estimation; Function (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00166254,0.0002968641,0.000467831,0.0001406178,0.0001652131,0.0007997847,0.0004014678,0.0001448858,0.001947259],"category_scores_gemma":[0.007205136,0.0002720719,0.0001639925,0.0002164477,0.00035496,0.000301658,0.0001394313,0.0006206878,0.00004299025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237618,"about_ca_system_score_gemma":0.0004624882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001979425,"about_ca_topic_score_gemma":0.000008137064,"domain_scores_codex":[0.9964698,0.0001714292,0.001775211,0.0003623863,0.0009507595,0.00027044],"domain_scores_gemma":[0.9902627,0.00674727,0.0005891207,0.0002074147,0.001894333,0.0002990878],"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":[0.0001256439,0.0002109852,0.0001925017,0.0006935691,0.0006349992,0.00008138764,0.001101961,0.0001232965,0.0001501618,0.9484192,0.007335063,0.04093121],"study_design_scores_gemma":[0.0007086155,0.0001345519,0.004416965,0.0007136306,0.000335907,0.0003254548,0.0002222443,0.05889337,0.00005629215,0.9194336,0.0144662,0.0002931594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01572178,0.0008084861,0.9635551,0.003615532,0.001750912,0.000321396,0.0137969,0.00003469655,0.0003952044],"genre_scores_gemma":[0.794054,0.0005418515,0.2045009,0.0001477666,0.0004528638,0.00001056477,0.0001194461,0.00002878143,0.0001438085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7783322,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08225493452798993,"score_gpt":0.3963448284191087,"score_spread":0.3140898938911188,"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."}}