{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001667995,0.0002051972,0.0003155241,0.001315977,0.0005871747,0.001145972,0.0004781329,0.0004288496,0.004187934],"category_scores_gemma":[0.009072352,0.0002256075,0.0003737311,0.0007876602,0.003696688,0.004539709,0.002254867,0.0006334202,0.0002149476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008595081,"about_ca_system_score_gemma":0.0002490696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002873323,"about_ca_topic_score_gemma":0.002012325,"domain_scores_codex":[0.9994895,0.0001853987,0.00002497054,0.0001487289,0.00005859121,0.00009271408],"domain_scores_gemma":[0.9947606,0.00304496,0.0008011184,0.0006462103,0.0003348277,0.0004121756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003181722,0.0001167582,0.4991672,0.0001660969,0.0002743823,0.0005531796,0.003389699,0.06066272,0.008145895,0.3376928,0.001728972,0.08778407],"study_design_scores_gemma":[0.00002498756,0.0001386536,0.4642417,0.00007582096,0.00008101985,0.0009634563,0.002595767,0.1487881,0.001730766,0.3772901,0.003989358,0.00008035172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429557,0.0005585817,0.04386828,0.001466838,0.00002045115,0.00001227213,0.000127014,0.00007741096,0.0109134],"genre_scores_gemma":[0.9991535,0.00005676089,0.0004999103,0.0000174323,0.000006772195,0.000004800859,0.00001287247,0.000006199421,0.0002417533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004187934,"threshold_uncertainty_score":0.01401007,"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."}}