{"id":"W2745272451","doi":"10.1007/s10530-017-1536-8","title":"Effect of the spatial context along the invasion process: “Hierarchical spatial” or “Host-switching spatial” hypotheses?","year":2017,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Grain Research Centre; Université du Québec à Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Montréal; Fonds de recherche du Québec – Nature et technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Overwintering; Biology; Spatial ecology; Habitat; Ecology; Spatial heterogeneity; Spatial distribution; Host (biology); Context (archaeology); Soybean aphid; Woodland; Spatial contextual awareness; PEST analysis; Geography; Aphididae; Homoptera; Botany","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":[0.00914395,0.0006297859,0.001168317,0.001005293,0.0008740086,0.002557401,0.003320117,0.003725344,0.02095699],"category_scores_gemma":[0.02988244,0.0005424884,0.002149947,0.001106802,0.004702198,0.006303695,0.001961701,0.00195108,0.001061845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007963554,"about_ca_system_score_gemma":0.0008957373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004462544,"about_ca_topic_score_gemma":0.005473502,"domain_scores_codex":[0.9972173,0.001201013,0.0001334638,0.0007986343,0.0002012199,0.0004482774],"domain_scores_gemma":[0.9409022,0.04221224,0.006827885,0.00505771,0.001354881,0.003645145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01764045,0.003204383,0.5908784,0.001698589,0.004444188,0.002728303,0.006806285,0.05313683,0.03464584,0.1543333,0.007755949,0.1227274],"study_design_scores_gemma":[0.001698668,0.002420593,0.6810551,0.0001504559,0.002849719,0.0008913066,0.006349281,0.123611,0.004928902,0.1709689,0.004753565,0.0003224886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97797,0.0005590676,0.007079646,0.003864905,0.0001421549,0.0000422354,0.0002009264,0.00009256292,0.01004853],"genre_scores_gemma":[0.9975743,0.0001277926,0.001140419,0.0003971545,0.0001015727,0.00001062444,0.00007577037,0.00002902934,0.0005433742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02095699,"threshold_uncertainty_score":0.07010812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1950905977935304,"score_gpt":0.2756757496821587,"score_spread":0.08058515188862833,"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."}}