{"id":"W2608187006","doi":"10.1016/j.idm.2017.04.002","title":"In-host modeling","year":2017,"lang":"en","type":"article","venue":"Infectious Disease Modelling","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Simons Foundation","keywords":"Host (biology); Computer science; Mathematical model; Data science; Risk analysis (engineering); Biology; Medicine; Mathematics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427041,0.001428259,0.001827733,0.001212337,0.001006761,0.002982245,0.005235952,0.003480372,0.02599093],"category_scores_gemma":[0.003965131,0.0005482503,0.0016204,0.001034889,0.001250821,0.003721737,0.002817252,0.002195559,0.004520743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810557,"about_ca_system_score_gemma":0.001933423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007167663,"about_ca_topic_score_gemma":0.004024001,"domain_scores_codex":[0.9989237,0.0004190008,0.00006404094,0.0002288939,0.000191281,0.0001729924],"domain_scores_gemma":[0.9984885,0.0006173715,0.0002581576,0.0001952994,0.0002810515,0.00015959],"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":[0.00007647168,0.0001158732,0.002170805,0.0003705307,0.0001198507,0.0004582365,0.0002360823,0.4322501,0.001398875,0.5336055,0.01254768,0.01664986],"study_design_scores_gemma":[0.00004588806,0.00009563455,0.0005182879,0.00009956994,0.0000918548,0.0003690356,0.0001201374,0.7663158,0.0003956551,0.1858996,0.04600938,0.00003906037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03029397,0.00684845,0.7851698,0.007115545,0.001936986,0.0005254047,0.006274526,0.001156387,0.1606789],"genre_scores_gemma":[0.718971,0.01196384,0.1195961,0.002604437,0.001246931,0.001542461,0.003960324,0.0005553911,0.1395596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02599093,"threshold_uncertainty_score":0.08694834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0478276603181736,"score_gpt":0.3201303202396456,"score_spread":0.272302659921472,"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."}}