{"id":"W1992538466","doi":"10.1007/s00285-006-0050-x","title":"Eradicating vector-borne diseases via age-structured culling","year":2006,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Culling; Vector (molecular biology); Mathematics; Biology; Control theory (sociology); Applied mathematics; Computer science; Control (management); Artificial intelligence; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001866317,0.0005580127,0.001097808,0.000476,0.000280169,0.0005683082,0.001390065,0.0009677312,0.003119739],"category_scores_gemma":[0.007655409,0.0003446299,0.0005765933,0.0002487677,0.0007745454,0.001521158,0.0009384007,0.001118991,0.0002171722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004396132,"about_ca_system_score_gemma":0.0004452106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007140984,"about_ca_topic_score_gemma":0.0009326445,"domain_scores_codex":[0.9996029,0.0001449054,0.0000185277,0.00007000834,0.00004651324,0.0001173415],"domain_scores_gemma":[0.9955397,0.002629242,0.0009153729,0.000403172,0.0002270693,0.0002854213],"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":[0.0007983648,0.0005522638,0.009761753,0.0003809902,0.0002590495,0.0005589687,0.0002590608,0.6745278,0.007735085,0.196813,0.007785179,0.1005685],"study_design_scores_gemma":[0.0002720453,0.0004803646,0.003443455,0.0000365158,0.00009950942,0.000263532,0.00007749173,0.8863214,0.0009159088,0.106633,0.001425889,0.00003075138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.55534,0.001364715,0.430224,0.001862728,0.0003809393,0.0001763748,0.0003285047,0.000295515,0.01002722],"genre_scores_gemma":[0.9833241,0.0004217026,0.01138089,0.0002016588,0.0001204307,0.00004660139,0.00005225842,0.00001108015,0.00444129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003119739,"threshold_uncertainty_score":0.01043653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913342483538439,"score_gpt":0.2748208153676815,"score_spread":0.2656873905322972,"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."}}