{"id":"W1807628221","doi":"10.1109/icc.2005.1494401","title":"Log shifted gamma approximation to lognormal sum distributions","year":2005,"lang":"en","type":"article","venue":"","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Log-normal distribution; Cumulative distribution function; Random variable; Probability density function; Mathematics; Range (aeronautics); Standard deviation; Moment (physics); Matching (statistics); Applied mathematics; Moment-generating function; Statistics; Physics; Quantum mechanics","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":[0.001190479,0.0009252518,0.0006728846,0.001372066,0.0003723082,0.001035071,0.00164056,0.0008219664,0.001907861],"category_scores_gemma":[0.006375084,0.0003437182,0.0007021272,0.001563431,0.0009258827,0.002049263,0.0009016697,0.001468606,0.001061116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069005,"about_ca_system_score_gemma":0.0006869655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003645147,"about_ca_topic_score_gemma":0.002244921,"domain_scores_codex":[0.9991059,0.0002797981,0.00003061215,0.0001422291,0.0003297484,0.0001116362],"domain_scores_gemma":[0.9982925,0.0008042297,0.0001830821,0.0002555689,0.0004081569,0.00005644183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001385108,0.00003174572,0.003528661,0.0001099292,0.00005626363,0.0006041866,0.000195525,0.7601633,0.004615502,0.1627461,0.002475257,0.06533507],"study_design_scores_gemma":[0.000005693352,0.0000174578,0.0003719068,0.00001486036,0.0000103126,0.0002851606,0.00002849251,0.9550229,0.0008445659,0.04134598,0.00203611,0.00001658706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01051484,0.0003718823,0.9868169,0.00009199406,0.00003972188,0.00001532533,0.00004683132,0.0002937702,0.001808678],"genre_scores_gemma":[0.7133825,0.002435603,0.2739377,0.0004376174,0.0002173115,0.0002167003,0.0003926475,0.0003288432,0.008651051],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003645147,"threshold_uncertainty_score":0.007756233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0624980204828848,"score_gpt":0.359988086897305,"score_spread":0.2974900664144202,"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."}}