{"id":"W2102502626","doi":"10.1109/glocom.2009.5426029","title":"Fitting the Modified-Power-Lognormal to the Sum of Independent Lognormals Distribution","year":2009,"lang":"en","type":"article","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Log-normal distribution; Matching (statistics); Mathematics; Applied mathematics; Distribution (mathematics); Simple (philosophy); Moment (physics); Random variable; Function (biology); Power (physics); Moment-generating function; Distribution fitting; Mathematical optimization; Probability distribution; Statistics; Mathematical analysis; Physics","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":[0.003641673,0.0008558579,0.001064431,0.002345027,0.0006287322,0.001700162,0.002757832,0.001338288,0.00393239],"category_scores_gemma":[0.01979515,0.0006574779,0.001256347,0.002077506,0.00105856,0.002970002,0.001844769,0.00201664,0.001910321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514126,"about_ca_system_score_gemma":0.001571397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006803967,"about_ca_topic_score_gemma":0.005296898,"domain_scores_codex":[0.9981828,0.0006160875,0.00007942072,0.0002347427,0.0007504598,0.0001364448],"domain_scores_gemma":[0.9953491,0.002337492,0.0004536266,0.0007384699,0.0009622953,0.00015909],"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":[0.0001529189,0.00008811916,0.004229553,0.0001230719,0.00009186724,0.0002185023,0.0002175716,0.6994861,0.004864405,0.1166497,0.003351376,0.1705267],"study_design_scores_gemma":[0.000007630751,0.000009181475,0.0002826577,0.00001193065,0.000006572934,0.00008012292,0.00001627313,0.9778689,0.0008439468,0.01929681,0.001557474,0.00001849024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003168706,0.0000456171,0.9958915,0.000037421,0.00001350564,0.00001635816,0.00001727445,0.0002684162,0.0005411591],"genre_scores_gemma":[0.1482927,0.0003535511,0.8474383,0.0001758619,0.00006609934,0.0001795214,0.0002248229,0.0004513596,0.002817871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006803967,"threshold_uncertainty_score":0.01925927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685872078278326,"score_gpt":0.2672526613254208,"score_spread":0.2503939405426375,"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."}}