{"id":"W7111063317","doi":"10.2139/ssrn.5873302","title":"Salience and Generalized Empirical Likelihood: An Equivalence Result","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Equivalence (formal languages); Salience (neuroscience); Empirical research; Calculus (dental)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0122971,0.001108543,0.003163586,0.003456131,0.001241088,0.00619407,0.003137999,0.003259176,0.01005315],"category_scores_gemma":[0.1080261,0.001176368,0.002125181,0.003072753,0.006433493,0.0141602,0.005537262,0.00430176,0.0006674725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889249,"about_ca_system_score_gemma":0.001216382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001500714,"about_ca_topic_score_gemma":0.0007255456,"domain_scores_codex":[0.9937085,0.002922844,0.0004044256,0.001363209,0.001062385,0.0005387255],"domain_scores_gemma":[0.8710741,0.1121299,0.004985541,0.006769619,0.00349596,0.001544856],"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":[0.0001765295,0.0001660484,0.003484969,0.0002609738,0.0001799244,0.0002375256,0.0005746812,0.008749031,0.0008776077,0.9531595,0.001713606,0.03041977],"study_design_scores_gemma":[0.00002862071,0.00002884511,0.00118728,0.00002056342,0.00003855642,0.0001122618,0.00004647967,0.02740064,0.0001156253,0.9706442,0.0003574723,0.00001944395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1517453,0.002420272,0.80502,0.009371986,0.0002319863,0.0001611584,0.0004147139,0.0002994745,0.03033513],"genre_scores_gemma":[0.9301322,0.002123931,0.05844733,0.001241593,0.001372621,0.0001861908,0.0002776475,0.0002208064,0.005997769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0122971,"threshold_uncertainty_score":0.06503403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035748004900732,"score_gpt":0.4333148801731693,"score_spread":0.329740079683096,"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."}}