{"id":"W3164413460","doi":"10.3390/rs13091637","title":"Mapping the Habitat Suitability of West Nile Virus Vectors in Southern Quebec and Eastern Ontario, Canada, with Species Distribution Modeling and Satellite Earth Observation Data","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Public Health Agency of Canada","funders":"Canadian Space Agency; Université de Montréal; Public Health Agency; Public Health Agency of Canada","keywords":"Culex pipiens; Habitat; Culex; Land cover; Geography; West Nile virus; Vector (molecular biology); Ecology; Distribution (mathematics); Physical geography; Land use; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002078702,0.0004333213,0.0001515535,0.001196736,0.0008911183,0.0006758051,0.0004463613,0.0001420601,0.00192748],"category_scores_gemma":[0.0006482537,0.000179036,0.0002669002,0.002239384,0.0002561114,0.0002139324,0.0002668157,0.0001200459,0.0002078676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01007732,"about_ca_system_score_gemma":0.009453179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956702,"about_ca_topic_score_gemma":0.9980121,"domain_scores_codex":[0.9998709,0.00001316582,0.000006392307,0.00003336405,0.00003821273,0.00003789873],"domain_scores_gemma":[0.9996966,0.00003331077,0.00004454219,0.00001133151,0.0001719058,0.00004234196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001641973,0.00009363089,0.905688,0.0001876126,0.000136746,0.0003463869,0.001004249,0.02616102,0.005091823,0.0004298961,0.005455114,0.05524136],"study_design_scores_gemma":[0.00001442726,0.00002139729,0.9599,0.0000345738,0.00002992829,0.00003045792,0.0008862517,0.03547154,0.0003401233,0.00004423022,0.003208036,0.00001912924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893864,0.0003807931,0.001184906,0.0000761788,0.000003954805,0.00008361843,0.006033054,0.00007883713,0.002772165],"genre_scores_gemma":[0.9904344,0.0003263448,0.003047661,0.00001852853,0.000002110634,0.00005515342,0.003644985,0.0000113052,0.002459491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007732,"threshold_uncertainty_score":0.07311648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533390708729944,"score_gpt":0.2133996158581138,"score_spread":0.1580657087708144,"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."}}