{"id":"W2083029009","doi":"10.1186/1471-2458-9-s1-s14","title":"Epidemic modeling with discrete-space scheduled walkers: extensions and research opportunities","year":2009,"lang":"en","type":"article","venue":"BMC Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Orthopaedic Innovation Centre","funders":"","keywords":"Flexibility (engineering); Population; Computer science; Data science; Agent-based model; Variety (cybernetics); Artificial intelligence; Medicine; Mathematics; Statistics","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":[0.002255504,0.0007564202,0.0008110521,0.0008003707,0.0004992037,0.001787653,0.001888762,0.001228513,0.002377384],"category_scores_gemma":[0.005884778,0.0006453678,0.001446174,0.001323522,0.001391046,0.003093803,0.001640966,0.001953772,0.0004899335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061294,"about_ca_system_score_gemma":0.001661815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008781773,"about_ca_topic_score_gemma":0.004257756,"domain_scores_codex":[0.9993041,0.0003651619,0.00004065379,0.00009001951,0.0001609825,0.00003916735],"domain_scores_gemma":[0.9966764,0.002309978,0.0002667987,0.0002869846,0.00028925,0.0001705467],"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":[0.00004107256,0.0001441646,0.00503976,0.0002112887,0.00006821722,0.0001773765,0.0003664375,0.7391449,0.0006210469,0.2301462,0.001133683,0.02290604],"study_design_scores_gemma":[0.00001068598,0.00002005488,0.0001242136,0.00002310236,0.000008495311,0.00004323625,0.00002889633,0.9546825,0.00009085297,0.04222614,0.002731728,0.00001009939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03844586,0.002447926,0.9488878,0.002517019,0.0001485671,0.0000921204,0.000195798,0.000272533,0.006992476],"genre_scores_gemma":[0.6161506,0.008922842,0.3650153,0.0004892197,0.000510213,0.0003814626,0.0005235202,0.0001604077,0.007846488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008781773,"threshold_uncertainty_score":0.0174613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7731724351402576,"score_gpt":0.5431290562956193,"score_spread":0.2300433788446383,"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."}}