{"id":"W2103780984","doi":"10.1016/j.tpb.2006.03.003","title":"Improving estimates of the basic reproductive ratio: Using both the mean and the dispersal of transition times","year":2006,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Intuition; Statistics; Basic reproduction number; Standard deviation; Biology; Econometrics; Mathematics; Demography; Population","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00159456,0.0001147231,0.0003378585,0.00001733708,0.0001951395,0.000005455675,0.0001338402,0.00007841361,0.00003104354],"category_scores_gemma":[0.004208313,0.00004469527,0.00009605874,0.0001118131,0.002896075,0.00002773938,0.00009220761,0.0001141747,2.498013e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002341584,"about_ca_system_score_gemma":0.000008635177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008660172,"about_ca_topic_score_gemma":0.00004572743,"domain_scores_codex":[0.9983539,0.0007546008,0.0004511349,0.0002136449,0.00008692126,0.0001397839],"domain_scores_gemma":[0.9950983,0.004255609,0.0002804242,0.0002971101,0.00005805565,0.00001050554],"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":[0.0001187333,0.00002320781,0.005427444,0.00002506545,0.0000229006,3.893244e-8,0.0004629128,0.0002437784,0.003163391,0.9901184,0.00001050292,0.0003836594],"study_design_scores_gemma":[0.0002875454,0.00003761896,0.01569,0.00001596326,0.0001130951,0.000001990248,0.0001460102,0.04704968,0.001376613,0.9352244,0.000002013704,0.00005514064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404531,0.0002619105,0.05182796,0.006620913,0.00006613215,0.000520664,0.00001392837,0.00002432333,0.0002111031],"genre_scores_gemma":[0.9980985,0.000006126726,0.001670513,0.0001199686,0.00008160959,0.000008233415,0.00000459941,0.000007246485,0.000003230999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05764541,"threshold_uncertainty_score":0.9998175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0568631373420397,"score_gpt":0.354375230173318,"score_spread":0.2975120928312783,"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."}}