{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03142286,0.001679815,0.002334887,0.006522651,0.001217774,0.004334789,0.002344077,0.001798463,0.00214961],"category_scores_gemma":[0.08842808,0.0009329289,0.002013359,0.005192631,0.001640776,0.004825195,0.002770059,0.002080219,0.001178578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071301,"about_ca_system_score_gemma":0.001231113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00178617,"about_ca_topic_score_gemma":0.002626476,"domain_scores_codex":[0.9702953,0.01502517,0.001390068,0.002319012,0.01024816,0.0007223116],"domain_scores_gemma":[0.9048424,0.07335198,0.004496105,0.007990644,0.008852027,0.0004668718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001662736,0.0008397906,0.06120036,0.001626808,0.002337711,0.0004828361,0.0009830055,0.155123,0.01360537,0.05472835,0.005627776,0.7017822],"study_design_scores_gemma":[0.000240882,0.001143742,0.03409741,0.0003267063,0.0009851652,0.0005332233,0.0006060054,0.8108597,0.02926699,0.1108295,0.01062501,0.0004855995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04957046,0.0006599861,0.9468064,0.0002198367,0.00009534689,0.0002346333,0.0004722663,0.000437952,0.001503191],"genre_scores_gemma":[0.4827713,0.0004438761,0.5106302,0.0002782733,0.0003515849,0.0004678199,0.0028818,0.0002436066,0.001931505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03142286,"threshold_uncertainty_score":0.166182,"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."}}