{"id":"W3175363083","doi":"10.2139/ssrn.3415903","title":"Influence Functions for Risk and Performance Estimators","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Estimator; Econometrics; Statistics; Mathematics; Environmental 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":[],"consensus_categories":[],"category_scores_codex":[0.001302048,0.00009561862,0.0001495094,0.00004434213,0.0001819606,0.00003358646,0.00009361273,0.00004381074,0.00002880775],"category_scores_gemma":[0.001034371,0.00007465036,0.000038027,0.00007076788,0.00003574482,0.0001168486,0.00001816828,0.0007501412,0.00002455798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155722,"about_ca_system_score_gemma":0.0003656425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000735912,"about_ca_topic_score_gemma":0.00001429911,"domain_scores_codex":[0.9986523,0.0000442739,0.0001960225,0.0001269146,0.0001099135,0.0008706106],"domain_scores_gemma":[0.9989287,0.0006812813,0.0001243298,0.0001135711,0.00008969502,0.00006237674],"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":[0.00006059447,0.00002731362,0.05865593,0.0000486795,0.00005731122,1.523203e-7,0.00006718326,0.00005176476,0.00008930887,0.8443996,0.00006367999,0.09647844],"study_design_scores_gemma":[0.0004383496,0.0006635584,0.01029721,0.00003008037,0.00005126234,0.0001174626,0.0001765968,0.005317255,0.00004210758,0.9823151,0.0004317771,0.0001192923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6848692,0.0001320868,0.3145286,0.00003417757,0.00006489554,0.0001156643,0.000005299952,0.00001388044,0.0002361347],"genre_scores_gemma":[0.9525358,0.000648096,0.04587412,0.0000250519,0.00005668046,0.0000104486,4.075683e-7,0.00001458966,0.0008348186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2686545,"threshold_uncertainty_score":0.3259032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840674301829252,"score_gpt":0.3138323000963744,"score_spread":0.2954255570780819,"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."}}