{"id":"W4232094731","doi":"10.1002/9780470012505.tam023","title":"Mixture of Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00385038,0.001222598,0.001827169,0.003756545,0.000916201,0.004539054,0.00213895,0.002169645,0.01219939],"category_scores_gemma":[0.01542926,0.0009241888,0.002882614,0.003183405,0.002920232,0.005827121,0.002627958,0.003780017,0.003517714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198257,"about_ca_system_score_gemma":0.0006760722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522723,"about_ca_topic_score_gemma":0.001170203,"domain_scores_codex":[0.9960639,0.001477898,0.0002066381,0.000895772,0.001118247,0.0002375054],"domain_scores_gemma":[0.99356,0.004143881,0.0003689495,0.0009984291,0.0007746494,0.0001542165],"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":[0.00007315906,0.0000415802,0.001205441,0.000258606,0.0001420233,0.0003111489,0.0002427449,0.06028891,0.001074454,0.870964,0.004588031,0.06080992],"study_design_scores_gemma":[0.00002200099,0.00004287748,0.001065423,0.0001776458,0.00008267199,0.0007547343,0.00007824809,0.4676542,0.001468254,0.5076167,0.02095872,0.00007846375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004227073,0.001896414,0.9845013,0.0004120799,0.0001535204,0.00005554088,0.0002573259,0.0003049457,0.008191831],"genre_scores_gemma":[0.4147928,0.01110211,0.5224084,0.0009173555,0.001800764,0.0004579356,0.002089573,0.0004950761,0.04593599],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01219939,"threshold_uncertainty_score":0.04081106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255853578175942,"score_gpt":0.3379805606353736,"score_spread":0.3154220248536141,"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."}}