{"id":"W3109339415","doi":"10.21203/rs.3.rs-119089/v1","title":"Distribution of Incubation Period of COVID-19 in the Canadian Context: Modeling and Computational Study","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Incubation period; Incubation; Percentile; Context (archaeology); Confidence interval; Coronavirus disease 2019 (COVID-19); Statistics; Mathematics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Interval (graph theory); Medicine; Combinatorics; Biology; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03919766,0.0003992192,0.001211108,0.001109658,0.001071961,0.0001936765,0.001406814,0.0004752192,0.00007649339],"category_scores_gemma":[0.1028877,0.0003068108,0.0002046516,0.001927644,0.001347964,0.0001088711,0.002474,0.004080129,0.00000820687],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003048191,"about_ca_system_score_gemma":0.005712828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3832109,"about_ca_topic_score_gemma":0.434537,"domain_scores_codex":[0.9792584,0.01197005,0.00158205,0.001196221,0.004714162,0.001279173],"domain_scores_gemma":[0.9708628,0.02395486,0.0003009693,0.0009094638,0.003276336,0.000695573],"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":[0.001571579,0.004227542,0.3800547,0.0245502,0.0007981769,0.0004842575,0.1447849,0.1508405,0.00002962111,0.2719764,0.01513637,0.005545812],"study_design_scores_gemma":[0.001367534,0.001415155,0.05200584,0.0005796109,0.00003252383,0.000003675473,0.04483659,0.2147746,0.000003572962,0.6841583,0.0004671971,0.0003554171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383817,0.001226802,0.01533444,0.03458063,0.00004772791,0.008799851,0.001366944,0.00005492152,0.0002069936],"genre_scores_gemma":[0.9980155,0.0001773057,0.0003024102,0.00009687604,0.0001043542,0.0008391761,0.0004193909,0.00003600492,0.000009032372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4121819,"threshold_uncertainty_score":0.9999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5588328267657264,"score_gpt":0.5571037013962721,"score_spread":0.001729125369454354,"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."}}