{"id":"W2007422223","doi":"10.1007/s10654-006-9007-z","title":"Gaining insights into human viral diseases through mathematics","year":2006,"lang":"en","type":"review","venue":"European Journal of Epidemiology","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Institute for Biodiagnostics; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Medicine; Population; Infectious disease (medical specialty); Disease; Mathematical modelling of infectious disease; Transmission (telecommunications); Public health; Environmental health; Computer science; Pathology","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":[0.002277916,0.0012723,0.002111845,0.003446245,0.000347859,0.001625235,0.001205152,0.001842496,0.002289057],"category_scores_gemma":[0.005261691,0.0004319991,0.0005334208,0.003080289,0.001840561,0.004671537,0.001242871,0.002794934,0.001025589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367458,"about_ca_system_score_gemma":0.001848269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790754,"about_ca_topic_score_gemma":0.002030025,"domain_scores_codex":[0.9994749,0.0001844404,0.00005738127,0.00006283945,0.0001949846,0.00002535319],"domain_scores_gemma":[0.9961582,0.002928035,0.0001885896,0.0001146166,0.0005186351,0.00009207755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003535863,0.00008148816,0.000364646,0.01108482,0.0001344369,0.0001201525,0.0001439719,0.002160521,0.0005202736,0.04889723,0.03226382,0.9041933],"study_design_scores_gemma":[0.00003220512,0.00008053942,0.0009299656,0.005306458,0.0001131036,0.0009003278,0.0001680463,0.001238054,0.0005011809,0.1146307,0.8760568,0.00004266091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001290191,0.9943717,0.002196908,0.001880768,0.0004022257,0.000004404031,0.00001096225,0.00001008803,0.0009939851],"genre_scores_gemma":[0.001100026,0.9964877,0.00111782,0.0002960548,0.0006544124,0.000005682221,0.00001053177,0.000002378613,0.0003254258],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003446245,"threshold_uncertainty_score":0.01204687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539731126201272,"score_gpt":0.4135192258339325,"score_spread":0.2595461132138053,"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."}}