{"id":"W3109738030","doi":"10.3354/meps13527","title":"Beyond a single patch: local and regional processes explain diversity patterns in a seagrass epifaunal metacommunity","year":2020,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation; Parks Canada; University of British Columbia","funders":"Hakai Institute","keywords":"Seagrass; Metacommunity; Ecology; Biological dispersal; Abundance (ecology); Biodiversity; Abiotic component; Zostera marina; Invertebrate; Ecosystem; Beta diversity; Habitat; Biology; Geography; Population","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":[0.0008279171,0.0002470642,0.0005521807,0.0009665135,0.0005277613,0.001482696,0.0005371461,0.0005285683,0.001618332],"category_scores_gemma":[0.002961916,0.0002465446,0.0006455401,0.0008161363,0.0009823986,0.0009570227,0.0008551943,0.0004117189,0.0002527657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007339935,"about_ca_system_score_gemma":0.0005935059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06217137,"about_ca_topic_score_gemma":0.1014196,"domain_scores_codex":[0.9996378,0.00009106067,0.00001882833,0.0001544034,0.00003119319,0.00006668739],"domain_scores_gemma":[0.9978759,0.0008683377,0.000471933,0.0002597972,0.0002306259,0.0002933468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006860477,0.00003261753,0.9771093,0.00005133504,0.0003611667,0.0001054738,0.0006735873,0.00323302,0.002612185,0.0006519464,0.0003279399,0.01477287],"study_design_scores_gemma":[0.000007912537,0.0000244047,0.9775458,0.00002004821,0.0001108552,0.00005811535,0.0004888602,0.02000065,0.00008671598,0.00134805,0.0002964947,0.00001220832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969168,0.0004096446,0.001755354,0.00008482567,0.000003549241,0.00000881888,0.00008587502,0.00003096378,0.0007042235],"genre_scores_gemma":[0.9994439,0.00004956332,0.0003420954,0.000012094,0.000003835507,0.000003245912,0.00004718936,0.000006036695,0.00009210013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06217137,"threshold_uncertainty_score":0.123619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584185584202832,"score_gpt":0.2003081003065018,"score_spread":0.1744662444644735,"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."}}