{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004453124,0.00008855216,0.0001366998,0.000001461508,0.0002739345,0.00001993763,0.00009823879,0.00002948098,0.002473668],"category_scores_gemma":[0.00000420391,0.00003745517,0.00004258084,0.00003328812,0.0002038633,0.00007557501,0.0001399543,0.00005060281,0.000172424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009212115,"about_ca_system_score_gemma":8.478495e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004044617,"about_ca_topic_score_gemma":0.003036851,"domain_scores_codex":[0.9995614,0.00003065092,0.00009289053,0.0001139157,0.00008116339,0.0001199807],"domain_scores_gemma":[0.9998189,0.00007041927,0.00004228259,0.00001618052,0.000007166152,0.00004510923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005653243,0.0001199306,0.08826779,0.000007256752,0.00005758625,0.000004789929,0.0004112114,3.584778e-7,0.8972883,0.0001437147,0.004345221,0.009297333],"study_design_scores_gemma":[0.000118808,0.0006244697,0.9755757,0.00001833264,0.00001629059,0.00001270571,0.002324357,0.00006377159,0.01132385,0.00022673,0.009560393,0.000134565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902868,0.0001650003,5.079041e-7,0.000329152,0.00001859891,0.00005348324,0.00006722516,0.00001704867,0.00906215],"genre_scores_gemma":[0.999429,0.00009486017,0.0001334793,0.0001133172,0.00008739906,0.000001559915,0.00001943072,5.48214e-7,0.000120419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8873079,"threshold_uncertainty_score":0.9984382,"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."}}