{"id":"W4394679458","doi":"10.1093/forestscience/50.6.810","title":"A Pòlya-Urn Resampling Scheme for Estimating Precision and Confidence Intervals Under One-Stage Cluster Sampling: Application to Map Classification Accuracy and Cover-Type Frequencies","year":2004,"lang":"en","type":"article","venue":"Forest Science","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Resampling; Statistics; Confidence interval; Mathematics; Sampling (signal processing); Cluster sampling; Cover (algebra); Cluster (spacecraft); Computer science; Demography; Population","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002639157,0.0001798061,0.0002180889,0.0002191999,0.0005396023,0.0003763851,0.0003435797,0.00009016739,0.000003498772],"category_scores_gemma":[0.008377486,0.0001712148,0.00002765012,0.0004368804,0.0003236093,0.0007120449,0.0001782294,0.0001245306,0.00001133927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627075,"about_ca_system_score_gemma":0.0001582109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001062576,"about_ca_topic_score_gemma":0.00005125432,"domain_scores_codex":[0.9981915,0.00002756329,0.0004671502,0.0005938268,0.0003955695,0.0003244136],"domain_scores_gemma":[0.9969921,0.001638414,0.0002939943,0.0004427023,0.0004767324,0.0001560947],"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":[0.0002209332,0.0001844168,0.003617451,0.0008068968,0.00002102859,3.869844e-7,0.004274664,0.04281252,0.1463948,0.7869666,0.0002197302,0.01448053],"study_design_scores_gemma":[0.0004110541,0.0002021451,0.004749647,0.0007296148,0.0000172479,0.00000839821,0.0003266091,0.2587358,0.007106258,0.727183,0.0001968007,0.0003334081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3046572,0.00002676636,0.6936843,0.0005730009,0.00008173302,0.0007943758,0.00001080357,0.0001459412,0.00002593884],"genre_scores_gemma":[0.5081421,0.000005291614,0.4915634,0.0001225524,0.00002867398,0.00009296802,0.000007546246,0.00001286014,0.00002462717],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2159233,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2340391450397301,"score_gpt":0.4314568123309775,"score_spread":0.1974176672912474,"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."}}