{"id":"W3200182960","doi":"10.1002/cjs.11656","title":"Combining ranking information from different sources in ranked‐set samples","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RSS; Ranking (information retrieval); Estimator; Statistics; Rank (graph theory); Set (abstract data type); Mathematics; Computer science; Sample (material); Data mining; Information retrieval; World Wide Web; Combinatorics","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":[0.0001707874,0.0001015545,0.0002454944,0.0001484217,0.0001191375,0.0001325312,0.0001222555,0.00005289836,0.0007769811],"category_scores_gemma":[0.002409292,0.0001002305,0.00003737514,0.0001628964,0.00006595152,0.000157784,0.000009429372,0.000211303,0.00001622624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158806,"about_ca_system_score_gemma":0.0005468712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044696,"about_ca_topic_score_gemma":0.01205028,"domain_scores_codex":[0.9987798,0.00007251252,0.0006849008,0.00006675594,0.0002035267,0.0001925406],"domain_scores_gemma":[0.9978414,0.001078154,0.0003042523,0.0001163087,0.0003594763,0.0003004169],"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":[0.000009713206,0.00003394777,0.01054338,0.00004797202,0.00005400422,0.00008761884,0.002235603,0.0001006335,0.00004433362,0.9662801,0.01131059,0.009252124],"study_design_scores_gemma":[0.001792499,0.00003673499,0.1304553,0.0002840719,0.0001092007,0.00006260727,0.002464731,0.004429598,0.0005093784,0.8521164,0.007457613,0.0002818915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0868327,0.00007203558,0.9083723,0.0004435615,0.0001634869,0.00006796116,0.003698083,0.000006588048,0.0003433024],"genre_scores_gemma":[0.9186056,0.00001088644,0.08056512,0.0002085322,0.00004022659,0.00000342364,0.000546246,0.000008295336,0.00001173783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8317728,"threshold_uncertainty_score":0.8507398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07703372011936035,"score_gpt":0.3016997978399115,"score_spread":0.2246660777205512,"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."}}