{"id":"W2323581590","doi":"","title":"population that is susceptible) can diff er according to population demographic structure.","year":2014,"lang":"en","type":"article","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Demography; Pandemic; Cluster (spacecraft); Population structure; Indigenous; Age structure; Biology; Geography; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Medicine; Disease; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00151973,0.0002812578,0.0005235212,0.001445522,0.0004678089,0.001171913,0.0006632819,0.0007733245,0.008189219],"category_scores_gemma":[0.007434759,0.0002374509,0.0004501377,0.0009772084,0.0004370961,0.0009078752,0.001247492,0.0007264931,0.003084551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006398308,"about_ca_system_score_gemma":0.0004891243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455615,"about_ca_topic_score_gemma":0.0132855,"domain_scores_codex":[0.9989824,0.0002464392,0.00006836938,0.0002419799,0.0002611009,0.0001996704],"domain_scores_gemma":[0.9982693,0.0006227199,0.000334867,0.0003169541,0.000276984,0.0001790929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002858363,0.0001809,0.5427266,0.0003786676,0.0004781368,0.0006056318,0.001230384,0.001592758,0.002290413,0.01251078,0.04158609,0.3961337],"study_design_scores_gemma":[0.00007159841,0.0003194094,0.8699358,0.0004863322,0.0003095852,0.003151579,0.001778764,0.005163747,0.001294097,0.01792189,0.09945983,0.0001074822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8144785,0.01476748,0.02756798,0.009172726,0.001135892,0.0009879707,0.02767153,0.0006514314,0.1035665],"genre_scores_gemma":[0.9749761,0.004214121,0.004288865,0.003031617,0.0002520396,0.0002943765,0.004035891,0.00004142118,0.008865657],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9918108,"threshold_uncertainty_score":0.02894282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392810559098165,"score_gpt":0.2697332254737658,"score_spread":0.2558051198827841,"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."}}