{"id":"W2326120174","doi":"10.3934/mbe.2008.5.429","title":"The effect of patterns of infectiousness on epidemic size","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population size; Infectious disease (medical specialty); Epidemic model; Population; Mathematics; Demography; Statistics; Disease; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00201785,0.0002041847,0.0006381508,0.00005081143,0.0001561626,0.000007014026,0.0004008525,0.00007197372,0.00002540272],"category_scores_gemma":[0.03372572,0.0001038082,0.0001782529,0.0003203367,0.0003127992,0.00004441036,0.0001434371,0.0001651761,0.000009271304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000041338,"about_ca_system_score_gemma":0.00001143105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001697531,"about_ca_topic_score_gemma":0.000002228646,"domain_scores_codex":[0.9982759,0.0001147049,0.0006402347,0.0002256715,0.0003955071,0.0003479832],"domain_scores_gemma":[0.9619128,0.0374584,0.0001978249,0.0003303773,0.0000346418,0.00006600309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001339948,0.0005864333,0.24064,0.005488485,0.0003211686,0.00003046842,0.002086844,0.005821775,0.04402932,0.6971062,0.0005746264,0.003180672],"study_design_scores_gemma":[0.003011369,0.00831325,0.1979168,0.003777626,0.0003952793,0.0001569752,0.0004449908,0.06785582,0.4485271,0.2653195,0.00193471,0.002346525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839105,0.00005940516,0.01491971,0.0002153091,0.000108764,0.0002883643,0.000004094466,0.00008928477,0.000404542],"genre_scores_gemma":[0.9982783,0.00006120854,0.001523629,0.00002274431,0.00002547419,0.00003837739,8.716409e-8,0.00001128572,0.00003888171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4317867,"threshold_uncertainty_score":0.9744136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0779289457941946,"score_gpt":0.3531576764433137,"score_spread":0.2752287306491191,"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."}}