{"id":"W3168533404","doi":"","title":"Charting the Pandemic with Data Modelling — with Caroline Colijn","year":2021,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Computer science; History; Coronavirus disease 2019 (COVID-19); Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03737474,0.001559136,0.001436715,0.004176755,0.003005426,0.01158686,0.00236598,0.005247715,0.01058692],"category_scores_gemma":[0.1129414,0.00131312,0.001451122,0.00353292,0.006958575,0.02029312,0.008900328,0.01690477,0.004753108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363931,"about_ca_system_score_gemma":0.004685217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008722435,"about_ca_topic_score_gemma":0.007760008,"domain_scores_codex":[0.9798719,0.01223614,0.0007908888,0.002286752,0.004418983,0.0003952557],"domain_scores_gemma":[0.9047349,0.06865972,0.001850821,0.008665407,0.01079233,0.005296771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001217712,0.00009313456,0.002302625,0.0002755767,0.0001705359,0.0002178075,0.00292287,0.008538853,0.0002711811,0.2522812,0.5806233,0.1521813],"study_design_scores_gemma":[0.0000257468,0.00003175209,0.0002851525,0.0007310386,0.00002056545,0.0001928176,0.0007777985,0.01646377,0.0003964353,0.3286742,0.6522917,0.0001090438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002087015,0.04105186,0.2127677,0.710046,0.01290124,0.0001009969,0.0006291189,0.001796411,0.01861972],"genre_scores_gemma":[0.136445,0.08450676,0.548799,0.1159029,0.04300298,0.000729416,0.002291241,0.004559994,0.06376261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03737474,"threshold_uncertainty_score":0.1976588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20741630706098,"score_gpt":0.3251281786840093,"score_spread":0.1177118716230293,"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."}}