{"id":"W2035263492","doi":"10.1016/j.tpb.2010.06.004","title":"Fitting parameters of stochastic birth–death models to metapopulation data","year":2010,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metapopulation; Population; Econometrics; Ecology; Biology; Stochastic modelling; Transmission (telecommunications); Distribution (mathematics); Statistics; Demography; 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":[0.007030695,0.000690449,0.000926414,0.002124426,0.0004012333,0.001784622,0.001901553,0.002155373,0.001638223],"category_scores_gemma":[0.05951441,0.000807758,0.001342958,0.001570811,0.000737151,0.002500685,0.0008467004,0.002036707,0.0006220505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610873,"about_ca_system_score_gemma":0.000777599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004890151,"about_ca_topic_score_gemma":0.002877894,"domain_scores_codex":[0.9982503,0.001100449,0.0001204713,0.0002891393,0.0001363815,0.0001033317],"domain_scores_gemma":[0.9803013,0.01322496,0.001737146,0.003554383,0.0008768343,0.0003054149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001109864,0.0000558748,0.01552593,0.00006443754,0.0001214348,0.00005923529,0.0001760733,0.9607524,0.001174147,0.009940131,0.0006273172,0.01139208],"study_design_scores_gemma":[0.00001430316,0.00001596506,0.00220458,0.00001332474,0.00001457175,0.00005083828,0.00004709788,0.9781038,0.0004441577,0.01883303,0.0002405425,0.00001776851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6062238,0.0002620836,0.3898034,0.0006956119,0.00005413738,0.00008404871,0.001121432,0.0006105581,0.001144915],"genre_scores_gemma":[0.9701476,0.0001383986,0.02767567,0.00006220915,0.00001477798,0.00006206516,0.001171304,0.0001385049,0.0005895276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007030695,"threshold_uncertainty_score":0.03718233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3971798013922621,"score_gpt":0.4655685907642525,"score_spread":0.06838878937199039,"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."}}