{"id":"W2271178597","doi":"10.1016/j.jtbi.2016.08.016","title":"Stochasticity and the limits to confidence when estimating <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si0040.gif\" overflow=\"scroll\"><mml:msub subscriptshift=\"65%\"><mml:mrow><mml:mi mathvariant=\"script\">R</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub></mml:math> of Ebola and other emerging infectious diseases","year":2016,"lang":"lv","type":"article","venue":"Journal of Theoretical Biology","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Army Research Office","keywords":"Confidence interval; Statistics; Computer science; Econometrics; Mathematics; Algorithm; Applied mathematics","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":[0.09825379,0.001759798,0.002541233,0.005106105,0.00149237,0.008998601,0.005025697,0.004613908,0.00301998],"category_scores_gemma":[0.4944967,0.002009321,0.00358009,0.004338468,0.00911623,0.009035342,0.006579694,0.008974735,0.0007204463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002671649,"about_ca_system_score_gemma":0.003212658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007239409,"about_ca_topic_score_gemma":0.004103673,"domain_scores_codex":[0.9027813,0.06954815,0.005175128,0.009845413,0.01141893,0.00123111],"domain_scores_gemma":[0.4376321,0.5139291,0.01274068,0.02533902,0.009135126,0.001223813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002488398,0.0001315055,0.02422872,0.0008793651,0.001009266,0.0008372424,0.002096527,0.2466159,0.001658255,0.5910768,0.004076418,0.1271411],"study_design_scores_gemma":[0.00005598549,0.00018246,0.004356379,0.0006272353,0.0001422936,0.0004472396,0.0003941843,0.5356683,0.003746326,0.4470012,0.007184383,0.0001939798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009124705,0.0007709966,0.9864532,0.0008710314,0.0001628777,0.00007978825,0.0001635181,0.0002437905,0.002130016],"genre_scores_gemma":[0.4379667,0.001368945,0.555088,0.0009275768,0.0006208208,0.000910075,0.0007080509,0.0005120681,0.001897749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09825379,"threshold_uncertainty_score":0.519622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928566386068799,"score_gpt":0.276194549874304,"score_spread":0.256908886013616,"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."}}