{"id":"W2950748145","doi":"10.48550/arxiv.1504.07336","title":"Information content of partially rank-ordered set samples","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Fields Institute for Research in Mathematical Sciences; University of Toronto","funders":"","keywords":"Simple random sample; Sampling (signal processing); Statistics; Ranking (information retrieval); Mathematics; Entropy (arrow of time); Rank (graph theory); Stratified sampling; Sampling design; Population; Systematic sampling; Computer science; Artificial intelligence; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00802607,0.0006255875,0.00126345,0.003470544,0.0006959166,0.002218409,0.00142046,0.001215701,0.002072449],"category_scores_gemma":[0.04323673,0.0004715781,0.0008000089,0.002045403,0.002561881,0.003103113,0.001520605,0.001019299,0.0003010839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683455,"about_ca_system_score_gemma":0.0007692754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189742,"about_ca_topic_score_gemma":0.0008115898,"domain_scores_codex":[0.9936907,0.002654196,0.0002943548,0.0006911219,0.002349156,0.0003204013],"domain_scores_gemma":[0.9475543,0.04278486,0.003180484,0.002875107,0.003152548,0.000452666],"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":[0.0005592026,0.0001621766,0.01874393,0.000704215,0.00028814,0.0009029779,0.0009139678,0.3303145,0.007299052,0.5412838,0.003206709,0.09562129],"study_design_scores_gemma":[0.00002595025,0.0001093915,0.005800629,0.00009987503,0.00004261834,0.0002647306,0.0001489318,0.7010608,0.003009011,0.2880742,0.00129253,0.00007135337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2357243,0.001111944,0.7559413,0.0009755266,0.0000375568,0.00009855675,0.001028622,0.000216955,0.004865167],"genre_scores_gemma":[0.943942,0.0007257333,0.05177318,0.0002362164,0.0001341786,0.000184456,0.001074251,0.0000617094,0.001868434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00802607,"threshold_uncertainty_score":0.04244637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2580490849922512,"score_gpt":0.2265080696399583,"score_spread":0.03154101535229295,"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."}}