{"id":"W2968499159","doi":"10.1109/cibcb.2019.8791445","title":"Pandemic: A Graph Evolution Story","year":2019,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graph; Pandemic; Theoretical computer science; Coronavirus disease 2019 (COVID-19); Data science; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009777152,0.00006197122,0.0000942664,0.00005195961,0.00003273922,0.00001062696,0.00008453998,0.00001433097,0.003098977],"category_scores_gemma":[3.926087e-7,0.00005429942,0.00009416687,0.0001294806,0.00001119629,0.00005981039,0.00003198484,0.00008528669,0.0002773863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002078907,"about_ca_system_score_gemma":0.00001320746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001738456,"about_ca_topic_score_gemma":0.000008842458,"domain_scores_codex":[0.9995871,0.00002459405,0.00007500783,0.0001283134,0.00007122425,0.0001138239],"domain_scores_gemma":[0.9996953,0.00002158394,0.00003277489,0.0002011276,0.00002375546,0.00002546278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002369902,0.00002724417,0.825482,0.000001260494,0.00004239991,4.138366e-8,0.00001923373,0.00004008477,0.001262955,0.1535508,0.00988601,0.00968561],"study_design_scores_gemma":[0.001252514,0.0001695148,0.2533449,0.00005172811,0.0001639878,0.00000147421,0.0009107349,0.01788234,0.001841482,0.4947121,0.2284666,0.001202592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6703121,0.00005006275,0.1635844,0.00004729776,0.00006426478,0.0001524407,0.000001785269,0.0002304611,0.1655572],"genre_scores_gemma":[0.993692,5.298729e-7,0.0008431227,0.00002414438,0.0001006949,0.000008746289,0.00000945619,0.000006014827,0.005315279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5721371,"threshold_uncertainty_score":0.9978123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007832933677122605,"score_gpt":0.2403374727914438,"score_spread":0.2325045391143212,"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."}}