{"id":"W2100721215","doi":"10.1002/cjs.11183","title":"Self‐concordance for empirical likelihood","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quartic function; Lagrange multiplier; Quadratic equation; Mathematics; Applied mathematics; Convergence (economics); Function (biology); Steffensen's method; Backtracking; Quadratic function; Statistics; Mathematical optimization; Local convergence; Newton's method in optimization; Iterative method; Pure mathematics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02788338,0.0005629462,0.001925081,0.00450583,0.002176466,0.003965122,0.003923237,0.002746134,0.007412407],"category_scores_gemma":[0.1959221,0.001142235,0.001644107,0.002221705,0.008577116,0.004695655,0.005312573,0.004053279,0.00169851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003518079,"about_ca_system_score_gemma":0.002663772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004299792,"about_ca_topic_score_gemma":0.002482193,"domain_scores_codex":[0.977744,0.01424448,0.0009476569,0.002592125,0.00383872,0.0006329092],"domain_scores_gemma":[0.8225882,0.1286869,0.007734836,0.02372601,0.01450427,0.002759817],"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":[0.00007153595,0.00003614701,0.005765751,0.0001325478,0.00007664944,0.0002079903,0.0003607258,0.05134889,0.0003259453,0.9131039,0.004740727,0.02382911],"study_design_scores_gemma":[0.00001396305,0.0000210672,0.002097442,0.00006220682,0.00001107458,0.0001498302,0.00004058354,0.4253756,0.000599709,0.569519,0.002075623,0.00003378081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04915397,0.0006031105,0.927927,0.001638927,0.0001591428,0.00009655761,0.00033314,0.0006852065,0.01940286],"genre_scores_gemma":[0.766794,0.0003750832,0.2186683,0.0008503579,0.00065753,0.0003317347,0.0009687744,0.001237659,0.0101165],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02788338,"threshold_uncertainty_score":0.1474632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09803995468117796,"score_gpt":0.3551579404658535,"score_spread":0.2571179857846755,"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."}}