{"id":"W2943323131","doi":"10.48550/arxiv.1905.01402","title":"Test for homogeneity with unordered paired observations","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Homogeneity (statistics); Limiting; Statistics; Mathematics; Type I and type II errors; Combinatorics; Statistical hypothesis testing; Sample size determination; Computer science","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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001175387,0.0004164601,0.0009673091,0.0001151183,0.00015252,0.00005271352,0.0008140758,0.0004657164,0.0001103732],"category_scores_gemma":[0.0287422,0.0004042424,0.0003510669,0.0003846515,0.0002293747,0.00007701864,0.0005666455,0.0005794471,0.00003874609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778324,"about_ca_system_score_gemma":0.0003576295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004494021,"about_ca_topic_score_gemma":0.00008542056,"domain_scores_codex":[0.9974393,0.0003735412,0.0005291014,0.001121682,0.0001258881,0.000410468],"domain_scores_gemma":[0.9537745,0.04339891,0.0006184469,0.001508652,0.0005151838,0.0001843502],"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":[0.0008761711,0.001336869,0.04465249,0.002141816,0.001009907,0.0001298884,0.000109959,0.01931292,0.00007578363,0.9236073,0.006085178,0.0006616738],"study_design_scores_gemma":[0.001992897,0.0002646162,0.002939847,0.0002521638,0.0007787276,0.000001390959,0.00006225582,0.03025581,0.0001087673,0.9623491,0.0004259379,0.0005684955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1258936,0.00001012423,0.8686802,0.0001742706,0.0005883136,0.002112546,0.001147299,0.0002520745,0.001141601],"genre_scores_gemma":[0.5175509,0.0000333389,0.4785956,0.00009098273,0.0001587071,0.00001373286,0.00003684351,0.00007289058,0.003446979],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3916574,"threshold_uncertainty_score":0.9998409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7386664602803285,"score_gpt":0.3908272818987555,"score_spread":0.347839178381573,"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."}}