{"id":"W2902980253","doi":"","title":"Regional connectivity, local environmental conditions, and biotic interactions jointly structure a temperate seagrass epifaunal metacommunity","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; University of British Columbia","funders":"","keywords":"Metacommunity; Biological dispersal; Seagrass; Ecology; Abiotic component; Niche; Community structure; Ecological niche; Niche differentiation; Community; Abundance (ecology); Environmental science; Habitat; Biology; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002071848,0.0001692795,0.0001840281,0.0008019555,0.0004015038,0.0006661307,0.0002073642,0.0001366557,0.0003951267],"category_scores_gemma":[0.0007603565,0.0001407459,0.000167722,0.0004988703,0.0004632163,0.0002991545,0.0004828877,0.0001441048,0.00006065088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006190776,"about_ca_system_score_gemma":0.0007134387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0853585,"about_ca_topic_score_gemma":0.2698404,"domain_scores_codex":[0.9998548,0.0000295406,0.000008556627,0.00004919136,0.00002048285,0.00003741503],"domain_scores_gemma":[0.9994697,0.00009638222,0.0001905073,0.00003902923,0.0001021689,0.000102163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003883412,0.00002566133,0.952132,0.00004929261,0.0001606864,0.0001210302,0.0008368551,0.003573397,0.0233345,0.000643009,0.0001997995,0.01888486],"study_design_scores_gemma":[0.000001339001,0.00001564759,0.9937462,0.000005412719,0.00002786672,0.00004117755,0.0002781411,0.00513068,0.0001391886,0.0003589393,0.000250077,0.000005370588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976643,0.00007613243,0.001668682,0.00001804344,5.993419e-7,0.000005122267,0.00005846045,0.00001468874,0.0004939938],"genre_scores_gemma":[0.999001,0.00003433977,0.000774044,0.000006623713,9.552834e-7,0.000002975576,0.00006198549,0.000002054272,0.0001161015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0853585,"threshold_uncertainty_score":0.1697233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036710704139356,"score_gpt":0.2326723257603057,"score_spread":0.2123052187189122,"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."}}