{"id":"W1998695812","doi":"10.1371/journal.pone.0009396","title":"High Resolution Niche Models of Malaria Vectors in Northern Tanzania: A New Capacity to Predict Malaria Risk?","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Malaria Research and Control","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canadian Armed Forces","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Malaria; Vector (molecular biology); Anopheles gambiae; Anopheles; Land cover; Mosquito control; Ecology; Geography; Ecological niche; Habitat; Niche; Environmental niche modelling; Plasmodium falciparum; Biology; Land use","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":[0.0009940848,0.0004154983,0.0003563798,0.0004020019,0.000224798,0.000715183,0.0005403828,0.0004134237,0.0008947324],"category_scores_gemma":[0.004026741,0.0003148534,0.0004243665,0.0002547058,0.0003781588,0.0008627467,0.0006214781,0.000395513,0.0001383698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004860427,"about_ca_system_score_gemma":0.0004787949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351232,"about_ca_topic_score_gemma":0.009231608,"domain_scores_codex":[0.9998287,0.0001043168,0.000006422731,0.00002329743,0.00001588144,0.00002133868],"domain_scores_gemma":[0.9990774,0.0006079863,0.0001418632,0.00004397795,0.00005985457,0.00006880467],"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":[0.00008766613,0.00003598984,0.05434494,0.00003983849,0.00008987372,0.00007560681,0.0001627026,0.9319953,0.0006514716,0.00282034,0.0005193637,0.009177042],"study_design_scores_gemma":[0.00000383627,0.00001003658,0.003288349,0.000005627923,0.000003856585,0.00001554152,0.00002092892,0.9949767,0.0000274091,0.001544007,0.00009974105,0.000003966507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167715,0.0006520264,0.07957154,0.0007967627,0.00001785495,0.00003199451,0.000441306,0.0002061269,0.001510953],"genre_scores_gemma":[0.9932275,0.0001184086,0.006180077,0.00004070758,0.00001174948,0.00001713258,0.0001306144,0.0000152409,0.0002585522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351232,"threshold_uncertainty_score":0.02686733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03400069823185237,"score_gpt":0.2347819475740693,"score_spread":0.2007812493422169,"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."}}