{"id":"W2890704436","doi":"10.1002/ecy.2508","title":"The distribution and role of functional abundance in cross‐scale resilience","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Nebraska-Lincoln","keywords":"Abundance (ecology); Ecology; Resilience (materials science); Scale (ratio); Psychological resilience; Temporal scales; Ecological resilience; Spatial ecology; Ecosystem; Relative abundance distribution; Environmental resource management; Geography; Relative species abundance; Biology; Environmental science; Cartography; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002535494,0.00003737695,0.00005412186,0.000005857881,0.000166339,0.000008806077,0.0001061663,0.00003922149,0.0001412059],"category_scores_gemma":[0.00003981055,0.00002636665,0.000009338497,0.00009387227,0.0007992318,0.00006868725,0.00009940285,0.00004533601,0.00006165213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000539385,"about_ca_system_score_gemma":0.00000788948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001247276,"about_ca_topic_score_gemma":0.009668066,"domain_scores_codex":[0.9994897,0.00003147983,0.000123349,0.0001434061,0.00007040794,0.0001416673],"domain_scores_gemma":[0.9997417,0.00007810299,0.00004933018,0.0001005975,0.000007979153,0.00002228348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000168892,0.00001714704,0.9933706,0.000001341804,6.227306e-7,3.416237e-7,0.0000697899,0.0004722237,0.003635321,0.00118891,0.00008517993,0.001141613],"study_design_scores_gemma":[0.00008544274,0.00006629564,0.9821216,0.000002255691,5.700043e-7,0.000005770805,0.00005081761,0.0129148,0.0004620883,0.002172985,0.002086515,0.00003084548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960994,0.00004048365,0.0001787342,0.0001241008,0.0001306696,0.00006486951,0.000005431861,0.000003389735,0.003352879],"genre_scores_gemma":[0.9995196,0.00002153306,0.0000321602,0.00001790623,0.00001697436,0.000007454566,0.000001417571,0.000001578229,0.0003813786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244258,"threshold_uncertainty_score":0.5395008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0022541490026245,"score_gpt":0.2037083626984475,"score_spread":0.201454213695823,"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."}}