{"id":"W3200937050","doi":"10.2196/32798","title":"Author’s Response to Peer Reviews of “A Full-Scale Agent-Based Model to Hypothetically Explore the Impact of Lockdown, Social Distancing, and Vaccination During the COVID-19 Pandemic in Lombardy, Italy: Model Development”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social distance; Coronavirus disease 2019 (COVID-19); Pandemic; Distancing; Scale (ratio); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Vaccination; Sociology; Psychology; Geography; Virology; Medicine; Cartography; Outbreak","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01968786,0.001349874,0.002754446,0.002363428,0.004287072,0.006376041,0.004431594,0.01385924,0.1037353],"category_scores_gemma":[0.2905648,0.0009817549,0.002247385,0.001870718,0.002028217,0.003092404,0.005305504,0.01130311,0.05126627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003287936,"about_ca_system_score_gemma":0.009717911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007750137,"about_ca_topic_score_gemma":0.01295902,"domain_scores_codex":[0.9828044,0.004867192,0.002105842,0.001519729,0.007763545,0.0009392393],"domain_scores_gemma":[0.7536985,0.05567412,0.008104713,0.00774981,0.1688102,0.005962643],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002861732,0.000007500027,0.00005623508,0.00009329978,0.000008847335,0.00004585219,0.00004177913,0.0000719591,0.00003461243,0.0003536859,0.9962258,0.003031673],"study_design_scores_gemma":[0.00004834258,0.00001259514,0.0002988533,0.0004670659,0.00001810012,0.00007914258,0.0001858803,0.0008701811,0.0001330963,0.001390228,0.9964568,0.00003960751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0002446763,0.001395441,0.001966783,0.4419581,0.5473245,0.0001364255,0.001238143,0.0005444582,0.00519144],"genre_scores_gemma":[0.01842397,0.007046734,0.01006892,0.4892187,0.3100306,0.001127895,0.003346345,0.002051968,0.1586848],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9803121,"threshold_uncertainty_score":0.3470291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3724081040424173,"score_gpt":0.4760931234299565,"score_spread":0.1036850193875392,"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."}}