{"id":"W2789583786","doi":"10.1002/ecs2.2101","title":"Environmental filtering and dispersal as drivers of metacommunity composition: complex spider webs as habitat patches","year":2018,"lang":"en","type":"article","venue":"Ecosphere","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation","keywords":"Metacommunity; Biological dispersal; Ecology; Biology; Species richness; Generalist and specialist species; Ordination; Community; Abundance (ecology); Colonization; Spider; Habitat","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":[0.0007810721,0.0002714441,0.0003826906,0.001400012,0.0003790337,0.001168298,0.0002811468,0.0003267546,0.001342089],"category_scores_gemma":[0.003801737,0.0002572342,0.0003368939,0.0007513905,0.0007269484,0.0006265449,0.0008242347,0.0002599373,0.00008127622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049969,"about_ca_system_score_gemma":0.0001716051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0050815,"about_ca_topic_score_gemma":0.004362034,"domain_scores_codex":[0.9996905,0.00009810822,0.00002497203,0.00008672813,0.00004574101,0.00005385133],"domain_scores_gemma":[0.9958732,0.002178966,0.001167715,0.0002090169,0.0002434992,0.0003276709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009485803,0.00003843163,0.9754294,0.0000525703,0.0001843826,0.0001593451,0.0003796142,0.003205704,0.01424006,0.0005247045,0.00007420356,0.005616624],"study_design_scores_gemma":[0.000004867588,0.00002413287,0.9872618,0.000005877085,0.00002475395,0.00008839288,0.0001421475,0.01161682,0.0003371548,0.0004067628,0.00007973722,0.000007499006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992368,0.0000723315,0.0004843388,0.00001859757,5.871139e-7,0.000003057226,0.00003779308,0.000007560584,0.0001389581],"genre_scores_gemma":[0.9998116,0.00001365948,0.0001308997,0.000002366049,0.000001500163,0.000001951079,0.00001480227,0.000001677458,0.00002162194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0050815,"threshold_uncertainty_score":0.01010388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03380250992905699,"score_gpt":0.2112843622011921,"score_spread":0.1774818522721352,"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."}}