{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007671671,0.0002966899,0.000459422,0.000008529358,0.002748745,0.000140558,0.001448978,0.0002246777,0.0002958232],"category_scores_gemma":[0.004244948,0.00005997493,0.0002868744,0.0001043481,0.0006651788,0.0000909848,0.0008248229,0.000417194,0.00003461137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528396,"about_ca_system_score_gemma":0.00002349408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006901303,"about_ca_topic_score_gemma":0.04452883,"domain_scores_codex":[0.9979154,0.0004996984,0.0003915172,0.0004337891,0.0003301461,0.0004294553],"domain_scores_gemma":[0.9964433,0.002812618,0.0003849159,0.000176574,0.00007127892,0.0001113651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007339124,0.0001603433,0.5005859,0.00002329861,0.0000499457,0.00001556751,0.0001590184,6.247064e-7,0.2876402,0.0002593029,0.0002378153,0.2101341],"study_design_scores_gemma":[0.0002795294,0.001513212,0.9689727,0.0001623903,0.00003362405,0.00001466281,0.0001358528,0.00007621128,0.0251098,0.0004353923,0.003056346,0.0002103299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945141,0.0001639929,0.0000139384,0.003524728,0.0002034407,0.0006925933,0.00009544461,0.00005260159,0.0007391494],"genre_scores_gemma":[0.9987424,0.0002062384,0.00000560199,0.0003779907,0.0004891669,0.00006467967,0.000009928583,0.000001972166,0.0001020311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4683868,"threshold_uncertainty_score":0.9997118,"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."}}