{"id":"W3097887867","doi":"10.3934/mbe.2020390","title":"Impact of variability of reproductive ageing and rate on childhood infectious disease prevention and control: insights from stage-structured population models","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Population; Basic reproduction number; Disease; Population growth; Population model; Demography; Infectious disease (medical specialty); Vital rates; Biology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005755871,0.0001645251,0.000490661,0.00004559495,0.00005098227,0.00001604915,0.00007987594,0.00004904459,0.000007883275],"category_scores_gemma":[0.01370137,0.0001106697,0.00008226909,0.000196054,0.0001119431,0.0001568239,0.00008368188,0.0001000337,1.698052e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003576961,"about_ca_system_score_gemma":0.0000145336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000052602,"about_ca_topic_score_gemma":0.0000016645,"domain_scores_codex":[0.99872,0.0001378931,0.0004391082,0.0003915256,0.0001764374,0.0001350375],"domain_scores_gemma":[0.9974118,0.002039783,0.0002004981,0.0001825627,0.00004061787,0.0001247634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005332513,0.001349194,0.1473545,0.004021951,0.0007768646,0.00001385945,0.01405958,0.272225,0.1065724,0.4498714,0.000007511118,0.003214477],"study_design_scores_gemma":[0.0002428009,0.0001675025,0.353514,0.00009383341,0.00004952703,1.82279e-7,0.00002359927,0.2108031,0.0003083004,0.4347017,1.522256e-7,0.000095389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658891,0.00005711479,0.1335044,0.0000938571,0.00001843978,0.0003449575,0.00002856881,0.00005155868,0.00001200807],"genre_scores_gemma":[0.9959171,0.000009495468,0.004010985,0.000016308,0.00002673355,0.000009646863,0.000001687612,0.000007526757,5.582212e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2061594,"threshold_uncertainty_score":0.9946066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06114359338739073,"score_gpt":0.3333063648275001,"score_spread":0.2721627714401094,"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."}}