{"id":"W2786539466","doi":"10.1111/gcb.14090","title":"Anthropogenic disturbance homogenizes seagrass fish communities","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Golder Associates (Canada); University of British Columbia; Parks Canada; University of Victoria","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Hakai Institute","keywords":"Seagrass; Ecology; Beta diversity; Biodiversity; Habitat; Ecosystem; Disturbance (geology); Species diversity; Foundation species; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001926051,0.0001471103,0.0002253901,0.00106281,0.0005062391,0.0006412715,0.0002047414,0.0001228274,0.0005266881],"category_scores_gemma":[0.0006021894,0.0001732201,0.0002221432,0.000700009,0.0007999601,0.0002538832,0.0007701673,0.0001198975,0.00005824642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009619385,"about_ca_system_score_gemma":0.0006273926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1183875,"about_ca_topic_score_gemma":0.2565391,"domain_scores_codex":[0.9996837,0.00003731143,0.00002232021,0.0001068125,0.00007851748,0.00007131169],"domain_scores_gemma":[0.999566,0.00004433135,0.0001673181,0.00005534559,0.0000871619,0.00007990488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004000184,0.000009795115,0.9842194,0.00001666693,0.0000946945,0.00005736997,0.0004566878,0.0007972727,0.009198803,0.00006639363,0.00004488486,0.004998089],"study_design_scores_gemma":[7.62363e-7,0.00001145848,0.9991903,0.000001810023,0.000006643861,0.00001792382,0.0002563319,0.0003344116,0.00007393411,0.00003180555,0.00007308592,0.000001552368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994718,0.00002148123,0.000224394,0.000005243818,3.358821e-7,0.000002962073,0.00003309091,0.000005009043,0.000235615],"genre_scores_gemma":[0.9997323,0.00002963551,0.0001037496,0.000006653478,7.284562e-7,0.000002018602,0.00006702915,0.000001456255,0.000056376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183875,"threshold_uncertainty_score":0.2353967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449552545711263,"score_gpt":0.2595278580717597,"score_spread":0.215032332614647,"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."}}