{"id":"W2554753232","doi":"10.1002/ecy.1656","title":"Non‐random food‐web assembly at habitat edges increases connectivity and functional redundancy","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marsden Fund; Natural Sciences and Engineering Research Council of Canada; University of Canterbury; Royal Society Te Apārangi; Education New Zealand; Royal Society","keywords":"Generalist and specialist species; Habitat; Ecology; Herbivore; Biology; Habitat fragmentation; Food web; Parasitoid; Fragmentation (computing); Ecosystem; Host (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003444602,0.000163571,0.0002852189,0.000670406,0.0003720401,0.0006565321,0.0002608031,0.0002480664,0.0009563495],"category_scores_gemma":[0.001298586,0.000252181,0.000218515,0.0002939717,0.0004757364,0.0006041342,0.0008669573,0.0003511017,0.0001464897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184094,"about_ca_system_score_gemma":0.00008357593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004383382,"about_ca_topic_score_gemma":0.001497605,"domain_scores_codex":[0.9996389,0.0000940783,0.00003006272,0.00009263698,0.00006602572,0.00007832781],"domain_scores_gemma":[0.9979928,0.0005539609,0.0007426951,0.0003554928,0.0001496957,0.0002054367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004410319,0.0001842368,0.5691205,0.0001715812,0.0003836647,0.0007451699,0.0007866199,0.005338616,0.3919176,0.002528489,0.0004362711,0.02794637],"study_design_scores_gemma":[0.000009915721,0.0001300407,0.9770306,0.00001385978,0.00006540595,0.0006392364,0.000293775,0.01082437,0.00816864,0.002109591,0.000701281,0.00001333746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983476,0.00003208627,0.001172476,0.00001354933,9.914146e-7,0.000001844728,0.00001397767,0.00001313613,0.000404392],"genre_scores_gemma":[0.9993919,0.00001201466,0.0004631266,0.00001069328,0.000001681026,0.000002555331,0.00003484401,0.000004748233,0.00007837944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009563495,"threshold_uncertainty_score":0.003199339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133088239588915,"score_gpt":0.2007506448983882,"score_spread":0.1694197625024991,"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."}}