{"id":"W2146560399","doi":"10.1002/cjs.5550360201","title":"Ranked set sampling for ordered categorical variables","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Health and Human Services","keywords":"Categorical variable; Ordinal data; Ordinal regression; Ranking (information retrieval); Statistics; Ordered logit; Logistic regression; Mathematics; Econometrics; Sampling (signal processing); Set (abstract data type); Variable (mathematics); Logistic distribution; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.000216542,0.0001045618,0.0002387615,0.0001086529,0.0003389457,0.00003324664,0.000152526,0.00006269447,0.0003803928],"category_scores_gemma":[0.003618876,0.0001006237,0.0000514863,0.0001639209,0.0001330679,0.00005255103,0.000003957597,0.0001376236,0.00001298694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424339,"about_ca_system_score_gemma":0.001176681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002539075,"about_ca_topic_score_gemma":0.0007243592,"domain_scores_codex":[0.998943,0.00002758115,0.0005322964,0.00009060296,0.0001520125,0.0002544934],"domain_scores_gemma":[0.9971184,0.001286219,0.0002441159,0.0001167585,0.0006974995,0.0005370635],"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":[0.000007661458,0.00001760148,0.0001226412,0.00002570926,0.00003319606,0.00002872845,0.0001798442,0.00004093918,0.00001212298,0.8671617,0.1317021,0.0006678345],"study_design_scores_gemma":[0.001105172,0.00009983387,0.001699698,0.00002770153,0.0001251025,0.0004739756,0.000167661,0.005686486,0.0000387559,0.9316689,0.0586817,0.0002249629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00121429,0.00003289562,0.994008,0.0004095821,0.0001616475,0.0001645543,0.003704322,0.000009548213,0.0002951483],"genre_scores_gemma":[0.470239,0.00001158761,0.5291079,0.0001475649,0.0001206387,0.00001236137,0.000168015,0.00002056707,0.0001722901],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4690247,"threshold_uncertainty_score":0.4332394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2184725555367922,"score_gpt":0.3617838791843279,"score_spread":0.1433113236475357,"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."}}