{"id":"W2586268859","doi":"10.1371/journal.pone.0171691","title":"Nestedness across biological scales","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Division of Graduate Education; Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Fundação de Amparo à Pesquisa do Estado de São Paulo; Killam Trusts; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Governo Brasil","keywords":"Nestedness; Modularity (biology); Multicellular organism; Biology; Ecological network; Ecology; Evolutionary biology; Computer science; Ecosystem; Biodiversity; Genetics","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":[0.001177771,0.0003251133,0.0004949376,0.001378672,0.0008157413,0.001534258,0.0005986585,0.0005938434,0.003261784],"category_scores_gemma":[0.01034823,0.0003358622,0.0007689001,0.0007695121,0.001384934,0.002053989,0.001888025,0.0008436149,0.0002422548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006088992,"about_ca_system_score_gemma":0.0003796382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002169664,"about_ca_topic_score_gemma":0.001350939,"domain_scores_codex":[0.9993209,0.0001318265,0.00004406147,0.0002526439,0.0001694268,0.00008115127],"domain_scores_gemma":[0.9964556,0.001687272,0.0006874657,0.0005171912,0.0002708806,0.0003817073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002029632,0.0001190571,0.1818152,0.0004177287,0.000591701,0.001373512,0.003374398,0.3362767,0.01662802,0.3993893,0.003428274,0.0563832],"study_design_scores_gemma":[0.00003452383,0.0001312317,0.1082999,0.00007773539,0.000112292,0.001256386,0.0007872573,0.5190501,0.002557985,0.3600399,0.007592697,0.00005992152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8421449,0.0006214275,0.1453961,0.0002350941,0.00005717702,0.00009732411,0.0004910112,0.0003312624,0.01062562],"genre_scores_gemma":[0.9769937,0.00007963395,0.02193674,0.00003565447,0.0000197519,0.00005299228,0.0002738693,0.00004541406,0.0005621516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003261784,"threshold_uncertainty_score":0.0109117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2698111922711695,"score_gpt":0.263813313100899,"score_spread":0.005997879170270504,"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."}}