{"id":"W4391608123","doi":"10.2139/ssrn.4719093","title":"Tail Similarity","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Similarity (geometry); Computer science; Artificial intelligence","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003797601,0.0003505067,0.0006776381,0.0003792,0.0002043121,0.0003091761,0.0006082281,0.0005192502,0.0001141403],"category_scores_gemma":[0.0001780099,0.0004007442,0.0004980784,0.0001752143,0.00004632244,0.0001006673,0.0006329369,0.01088392,0.0008475945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914053,"about_ca_system_score_gemma":0.002037555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000542131,"about_ca_topic_score_gemma":0.0008267462,"domain_scores_codex":[0.9958085,0.00002610304,0.00101826,0.0006895378,0.00008281015,0.002374753],"domain_scores_gemma":[0.9988645,0.00002601499,0.0004810797,0.0004601208,0.00006541388,0.0001028569],"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":[0.00001808435,0.00004987604,0.002859119,0.00008265288,0.0002268114,0.00000699432,0.0002407772,0.0006391685,0.000001486874,0.9871333,0.0005043062,0.008237419],"study_design_scores_gemma":[0.0001708072,0.00006433166,0.0003358757,0.00007256387,0.00002918562,0.00004471905,0.0000986641,0.01111351,0.000003008097,0.9752547,0.01242046,0.0003922426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.575455,0.2967668,0.08019378,0.005755912,0.006599379,0.0005331207,0.000388321,0.0002602671,0.03404742],"genre_scores_gemma":[0.9712576,0.02343857,0.0002865987,0.0001106442,0.001236909,0.00001290388,0.00001977015,0.0000734878,0.003563543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3958025,"threshold_uncertainty_score":0.9999304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980796557307502,"score_gpt":0.2426540712216298,"score_spread":0.2128461056485547,"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."}}