{"id":"W2794673779","doi":"10.1002/ecy.2196","title":"The role of landscape connectivity in resistance, resilience, and recovery of multi‐trophic microarthropod communities","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Tula Foundation; Pacific Institute for Climate Solutions; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation; Pacific Institute for Climate Solutions; University of Victoria","keywords":"Microcosm; Ecology; Resistance (ecology); Disturbance (geology); Trophic level; Landscape connectivity; Abiotic component; Psychological resilience; Ordination; Resilience (materials science); Habitat; Community; Alternative stable state; Plant community; Community resilience; Metacommunity; Biology; Ecological succession; Ecosystem; Biological dispersal; Population; Computer science; Resource (disambiguation); Psychology","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":[0.0004834456,0.0002293011,0.0002612205,0.0005085265,0.0004013421,0.0005084142,0.0002967211,0.0002652139,0.0005599233],"category_scores_gemma":[0.001265077,0.0001577658,0.0002233887,0.0001839627,0.0007832887,0.0008736448,0.0008216478,0.000387376,0.00004803297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394854,"about_ca_system_score_gemma":0.0002026549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513732,"about_ca_topic_score_gemma":0.004841054,"domain_scores_codex":[0.9996747,0.00009367619,0.00002505216,0.00009104953,0.00004706689,0.00006854732],"domain_scores_gemma":[0.9989409,0.0002500184,0.0003762826,0.0001314295,0.00007827857,0.000223087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000879221,0.0003769796,0.4849218,0.0003049414,0.0004097097,0.0004200818,0.001173673,0.00472262,0.4788519,0.0008621853,0.0001475145,0.02692946],"study_design_scores_gemma":[0.00001034765,0.000678726,0.9862969,0.0000110859,0.00004275459,0.0001272097,0.0004328052,0.002476802,0.009156032,0.0005062291,0.0002460723,0.00001509379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994332,0.00007766116,0.0002290486,0.00002568784,0.000001004051,0.000004925292,0.00001880899,0.000006063541,0.0002035929],"genre_scores_gemma":[0.9997357,0.00002923138,0.0001633622,0.00001164822,9.386067e-7,0.000004107567,0.00001657014,0.000001498478,0.00003691223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001513732,"threshold_uncertainty_score":0.00318867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00541486259728932,"score_gpt":0.2178658960731136,"score_spread":0.2124510334758243,"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."}}