{"id":"W2995559658","doi":"10.1016/j.apm.2019.12.012","title":"Implications of vector attachment and host grooming behaviour for vector population dynamics and distribution of vectors on their hosts","year":2019,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Host (biology); Dynamics (music); Vector (molecular biology); Population; Nonlinear system; Transmission (telecommunications); Mathematics; Distribution (mathematics); Biological system; Stability (learning theory); Applied mathematics; Statistical physics; Control theory (sociology); Computer science; Biology; Mathematical analysis; Ecology; Physics; Artificial intelligence; Machine learning; Telecommunications","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":[0.0004064909,0.0002451871,0.0002151077,0.0003354753,0.0002658389,0.0006951642,0.000322665,0.0004787251,0.001785489],"category_scores_gemma":[0.002696284,0.0001390557,0.0002883265,0.0002191767,0.0006155737,0.0009990885,0.0005101621,0.0003955341,0.0001561755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005090099,"about_ca_system_score_gemma":0.000376211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876943,"about_ca_topic_score_gemma":0.00221456,"domain_scores_codex":[0.9998814,0.00004970532,0.000006486547,0.00002417489,0.0000178847,0.00002037324],"domain_scores_gemma":[0.9992747,0.0004128694,0.0001728882,0.0000320016,0.00005036537,0.00005719583],"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":[0.0001375533,0.0001628859,0.0397531,0.000195126,0.00006282981,0.0009165634,0.0006957327,0.4614808,0.0510719,0.3990088,0.001410015,0.04510475],"study_design_scores_gemma":[0.00001210881,0.00005850862,0.009124018,0.00001643766,0.00001583643,0.0002828533,0.000122993,0.9085107,0.001020234,0.079956,0.0008588608,0.00002151482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7513465,0.001398975,0.2250097,0.001776137,0.00007933074,0.00004111176,0.0001536432,0.00005587719,0.02013881],"genre_scores_gemma":[0.9928894,0.0004712887,0.004485658,0.00003576498,0.00001750773,0.00001393037,0.00001764639,0.000006859434,0.0020619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002876943,"threshold_uncertainty_score":0.005973041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482524028848557,"score_gpt":0.250168426536076,"score_spread":0.2353431862475905,"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."}}