{"id":"W3034445891","doi":"10.2196/18965","title":"Flexible, Freely Available Stochastic Individual Contact Model for Exploring COVID-19 Intervention and Control Strategies: Development and Simulation","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Intervention (counseling); Control (management); Risk analysis (engineering); Psychology; Medicine; Virology; Artificial intelligence; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002351723,0.000213452,0.0005845975,0.00006251311,0.0004023495,0.000143828,0.0000854941,0.0000818769,0.00001023997],"category_scores_gemma":[0.007076544,0.0001828643,0.00003724387,0.0001200522,0.00006427651,0.0003018146,0.0001049512,0.0001429627,0.000001276184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242532,"about_ca_system_score_gemma":0.0005156117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004834526,"about_ca_topic_score_gemma":0.0001612813,"domain_scores_codex":[0.9980058,0.0002186265,0.0006456346,0.0004759234,0.0001810444,0.0004729751],"domain_scores_gemma":[0.9951693,0.003592026,0.0002780194,0.000103918,0.0000926609,0.0007640449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004216386,0.001128598,0.3718841,0.04562645,0.001349252,0.00001296905,0.1241281,0.06026026,0.00004776156,0.1335052,0.02865621,0.2291847],"study_design_scores_gemma":[0.005733083,0.0007998713,0.01754987,0.00005987927,0.000005785776,0.000002427894,0.00265437,0.934598,3.954921e-7,0.01281627,0.02528803,0.0004920576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1622198,0.001320971,0.823886,0.01088572,0.00003307645,0.001388944,0.0000814186,0.0001635259,0.00002051579],"genre_scores_gemma":[0.9900438,0.0001028607,0.003483775,0.005695391,0.00005504659,0.0005452923,0.00003113373,0.00001607525,0.00002663511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8743377,"threshold_uncertainty_score":0.8471796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5450401875686146,"score_gpt":0.4539434433096113,"score_spread":0.09109674425900327,"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."}}