{"id":"W234147271","doi":"10.2307/3316066","title":"Empirical likelihood confidence regions for comparison distributions and roc curves","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Receiver operating characteristic; Confidence interval; Econometrics; Empirical likelihood; Mathematics","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":[0.1001967,0.002435717,0.003215737,0.01010269,0.001072384,0.007213707,0.005809801,0.006128959,0.00795564],"category_scores_gemma":[0.5288639,0.001370521,0.002608405,0.005166162,0.007533103,0.007632261,0.005265329,0.007450008,0.002385193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002998362,"about_ca_system_score_gemma":0.001535569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358684,"about_ca_topic_score_gemma":0.0003698048,"domain_scores_codex":[0.9221504,0.05864158,0.002804164,0.004703186,0.01044952,0.001251126],"domain_scores_gemma":[0.3373463,0.6138973,0.01453458,0.01483682,0.01781591,0.001569112],"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":[0.001147016,0.0002006788,0.01031278,0.001457261,0.00074823,0.001044966,0.001590583,0.2422964,0.001180463,0.6049217,0.008435682,0.1266643],"study_design_scores_gemma":[0.0002681401,0.0003554055,0.00506252,0.001049045,0.0001965474,0.001428514,0.0004020236,0.4737859,0.002299746,0.5025848,0.01236772,0.0001996729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0117827,0.003147064,0.978202,0.001062387,0.0001264213,0.0002384333,0.0003490528,0.0005430727,0.004548896],"genre_scores_gemma":[0.5167882,0.003115539,0.4702849,0.001054616,0.0008915287,0.002745252,0.001882755,0.0008087318,0.002428426],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1001967,"threshold_uncertainty_score":0.529897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05741963420146927,"score_gpt":0.3166989698205644,"score_spread":0.2592793356190952,"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."}}