{"id":"W2128780767","doi":"10.1007/978-1-4419-7747-2_10","title":"Symbolic Density Models of One-in-a-Billion Statistical Tails via Importance Sampling and Genetic Programming","year":2010,"lang":"en","type":"book-chapter","venue":"Genetic and evolutionary computation","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Genetic programming; Sampling (signal processing); Computer science; Symbolic regression; Statistics; Econometrics; Mathematics; 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"],"consensus_categories":[],"category_scores_codex":[0.0001301279,0.0002849085,0.0003737961,0.0002289207,0.0002184344,0.0000475183,0.0002146318,0.0002796978,0.000007751623],"category_scores_gemma":[0.00000938318,0.0003272206,0.0000498449,0.0001101818,0.0002664409,0.0001862367,0.0002234098,0.0003326281,0.000004681522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006624849,"about_ca_system_score_gemma":0.000145995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004949242,"about_ca_topic_score_gemma":0.0000325449,"domain_scores_codex":[0.9979907,0.00002972508,0.0006319203,0.0007224368,0.0003523534,0.0002728147],"domain_scores_gemma":[0.9988785,0.0001604828,0.0003053517,0.0003116176,0.0002021583,0.0001419188],"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":[0.00002997727,0.0002656179,0.003994498,0.0003666899,0.0001104643,0.00005456166,0.00063137,0.03250913,0.0007962436,0.5069426,0.00005813802,0.4542407],"study_design_scores_gemma":[0.0002258851,0.00008172974,0.1013997,0.00006753263,0.00003402672,0.0001984765,0.000004552712,0.4175623,0.000004725147,0.4798545,0.0002736285,0.0002929615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01867821,0.003037129,0.9768125,0.0001314012,0.0001000492,0.0005569591,0.00002868062,0.00005837864,0.0005966262],"genre_scores_gemma":[0.2857829,0.0006689474,0.7129502,0.0000264593,0.0001026274,0.00003194613,0.00009563631,0.0000233627,0.0003179228],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4539477,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228414497904075,"score_gpt":0.2448681306979612,"score_spread":0.2220266809075537,"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."}}