{"id":"W1989816524","doi":"10.1007/s10255-008-8827-x","title":"Coxian representations of generalized Erlang distributions","year":2009,"lang":"en","type":"article","venue":"Acta Mathematicae Applicatae Sinica English Series","topic":"Advanced Combinatorial Mathematics","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Erlang (programming language); Erlang distribution; Nonlinear system; Mathematics; Applied mathematics; Computer science; Gamma distribution; Statistics; Physics; Theoretical computer science; Functional programming","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":[0.0005261757,0.0004289168,0.0009944873,0.0001200649,0.0002312618,0.00008066605,0.0008728266,0.0002054269,0.0001549947],"category_scores_gemma":[0.004586508,0.0004017428,0.0002830196,0.0006979335,0.00033201,0.0005920794,0.0001852667,0.0003021801,0.00002720612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007335588,"about_ca_system_score_gemma":0.000078733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003563664,"about_ca_topic_score_gemma":0.000004791659,"domain_scores_codex":[0.9968588,0.0001031763,0.00141969,0.0005246219,0.0005646116,0.0005290604],"domain_scores_gemma":[0.9949858,0.001447244,0.0007684717,0.002068798,0.0005155794,0.0002141315],"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":[0.00003915246,0.0007291122,0.00001268278,0.0002123746,0.00007603866,0.000003104987,0.002369661,0.000001474296,0.005440546,0.9858507,0.004892491,0.0003726804],"study_design_scores_gemma":[0.0007632367,0.0001498631,0.00006758107,0.0001247316,0.0001710455,0.00002264272,0.001018913,0.00005103229,0.01676614,0.9727248,0.007736725,0.0004033155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.645876,0.0003086544,0.233409,0.00829118,0.001281974,0.007730132,0.001127911,0.004222386,0.09775269],"genre_scores_gemma":[0.8187914,0.00005205792,0.1800675,0.00005208496,0.0002307993,0.0002261775,0.00009527928,0.00006820224,0.0004163822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1729154,"threshold_uncertainty_score":0.9998434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989621724904415,"score_gpt":0.3315431368537814,"score_spread":0.3016469196047373,"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."}}