{"id":"W2948871826","doi":"10.1007/s11538-019-00619-8","title":"Modeling the Potential Role of Engineered Symbiotic Bacteria in Malaria Control","year":2019,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Malaria; Serratia; Bacteria; Biology; Vector (molecular biology); Population; Basic reproduction number; Physics; Recombinant DNA; Genetics; Medicine; Immunology; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003740296,0.000432456,0.0005507452,0.0003363799,0.0003733595,0.000966327,0.0009886893,0.001645688,0.002532386],"category_scores_gemma":[0.00205909,0.0003132259,0.0005421713,0.0002729792,0.0008668739,0.001126419,0.0006583498,0.0007337592,0.0001390053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008800451,"about_ca_system_score_gemma":0.0009098137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007822211,"about_ca_topic_score_gemma":0.005452268,"domain_scores_codex":[0.9998754,0.00005435605,0.00000439219,0.00001841719,0.00001699135,0.00003030204],"domain_scores_gemma":[0.9992591,0.0004747987,0.0001245316,0.00002552019,0.00005254828,0.00006359859],"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":[0.00002422662,0.00003032784,0.000806639,0.00002689128,0.00001800396,0.00005802416,0.00002446484,0.9558426,0.001151562,0.04060674,0.0001933478,0.001217134],"study_design_scores_gemma":[0.000007364398,0.00001143893,0.0001066309,0.000001797355,0.000005244875,0.000006384957,0.00001013696,0.9948162,0.00007188615,0.00481533,0.000144799,0.000002720463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7554559,0.001092309,0.2072925,0.002595344,0.0002582228,0.00005083759,0.0002612345,0.0001071856,0.03288641],"genre_scores_gemma":[0.986845,0.000308787,0.008290255,0.00008172716,0.00003091773,0.00004564445,0.00002870286,0.00001443762,0.00435449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007822211,"threshold_uncertainty_score":0.01555336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006699493853355444,"score_gpt":0.1876846019535796,"score_spread":0.1809851081002242,"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."}}