{"id":"W3153911385","doi":"10.1063/5.0044061","title":"Diffusion modeling of COVID-19 under lockdown","year":2021,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"","keywords":"Diffusion; Physics; Statistical physics; Coronavirus; Markov chain; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ising model; Virology; Markov chain Monte Carlo; Monte Carlo method; Medicine; Disease; Computer science; Statistics; Infectious disease (medical specialty); Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003663315,0.0004451023,0.0006204587,0.0005788176,0.0005456419,0.0008874709,0.0009066167,0.00163659,0.001786326],"category_scores_gemma":[0.00140922,0.0003063409,0.0007096424,0.0003972991,0.0008346778,0.0009767988,0.0007233915,0.0006857605,0.000166317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009036801,"about_ca_system_score_gemma":0.0008726256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227755,"about_ca_topic_score_gemma":0.006546084,"domain_scores_codex":[0.9998531,0.00003820185,0.000007598942,0.00003308205,0.00002334689,0.00004453587],"domain_scores_gemma":[0.9995667,0.0001965428,0.00007061614,0.00002103823,0.00008360393,0.00006133909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005634339,0.00004612335,0.002345589,0.00003972996,0.0000231062,0.0001970212,0.0000973183,0.9602377,0.003369165,0.03132344,0.0006033297,0.001661042],"study_design_scores_gemma":[0.000004210664,0.00000566883,0.0001637444,0.000001786662,0.000002523128,0.000008126042,0.000008493585,0.9980122,0.00009100714,0.001537483,0.0001610537,0.000003708948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7898212,0.001934743,0.1805084,0.003403369,0.0002733757,0.0001169903,0.0008833908,0.0002469096,0.02281171],"genre_scores_gemma":[0.9853978,0.0004488654,0.005203676,0.0001333004,0.0000392331,0.00006973741,0.000214201,0.0000302738,0.008462962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02227755,"threshold_uncertainty_score":0.04429579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2900175241044749,"score_gpt":0.427471426515309,"score_spread":0.1374539024108341,"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."}}