{"id":"W2137433440","doi":"10.1109/tvt.2007.891467","title":"Least Squares Approximations to Lognormal Sum Distributions","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Log-normal distribution; Logarithm; Linear approximation; Probability density function; Applied mathematics; Range (aeronautics); Approximation theory; Least-squares function approximation; Cumulative distribution function; Function (biology); Mathematical analysis; Statistics; 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":[0.002491756,0.00107005,0.0008523247,0.001111492,0.0004781193,0.001235624,0.001468425,0.0008910495,0.00226958],"category_scores_gemma":[0.01310962,0.0005209561,0.0007526485,0.001605315,0.0009617906,0.002195061,0.001059772,0.001930269,0.001682496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221517,"about_ca_system_score_gemma":0.0008784964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618433,"about_ca_topic_score_gemma":0.003206858,"domain_scores_codex":[0.9984333,0.0005750036,0.00006762736,0.0002397699,0.0005731783,0.0001110492],"domain_scores_gemma":[0.9951786,0.003197277,0.0003106173,0.0005104233,0.0007422979,0.00006087129],"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":[0.00008527589,0.00004262369,0.001070266,0.0001421956,0.00006241268,0.0001836763,0.0001797426,0.8349543,0.004107737,0.07212527,0.002002972,0.08504359],"study_design_scores_gemma":[0.00000282912,0.000007861313,0.00007859608,0.000006913161,0.000003467587,0.00004977837,0.00001400952,0.9879938,0.0006343069,0.01041253,0.0007885759,0.000007287868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002062226,0.00008425016,0.9970714,0.00003498734,0.00001486583,0.000007163142,0.00001590676,0.0001674226,0.0005417591],"genre_scores_gemma":[0.2342538,0.001059221,0.7545678,0.0002600812,0.0001600332,0.0001997578,0.0003899616,0.0004624547,0.008646946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003618433,"threshold_uncertainty_score":0.01317781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649180936011668,"score_gpt":0.2787652946075907,"score_spread":0.262273485247474,"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."}}