{"id":"W3039242954","doi":"10.1101/2020.07.04.187955","title":"The Internal Structure of Metacommunities","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"KU Leuven; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Fonds Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; National Science Foundation","keywords":"Metacommunity; Ecology; Beta diversity; Computer science; Biology; Biodiversity; Biological dispersal","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001807569,0.0002020774,0.0005366356,0.002008075,0.0007291607,0.002276661,0.0007864468,0.0005576358,0.002134482],"category_scores_gemma":[0.01483083,0.0003013705,0.0006050204,0.001561516,0.001716938,0.001887031,0.002026122,0.0007650297,0.0002750543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006971984,"about_ca_system_score_gemma":0.0002839773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243014,"about_ca_topic_score_gemma":0.002045232,"domain_scores_codex":[0.998632,0.0003642096,0.00008762912,0.0004890852,0.0002299908,0.000197052],"domain_scores_gemma":[0.9877176,0.005725265,0.002289666,0.002480959,0.001063035,0.0007234598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003824738,0.0001390287,0.691223,0.000351788,0.0005989517,0.0003467799,0.003912476,0.1163726,0.04189211,0.08521909,0.001942186,0.05761949],"study_design_scores_gemma":[0.0000320591,0.00009674532,0.3838819,0.00008121685,0.0001187203,0.0004564585,0.001485395,0.450822,0.006362112,0.1532545,0.003336496,0.00007239044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425851,0.0001327545,0.05414521,0.0001709795,0.000008784226,0.00002145755,0.0004153576,0.0001609158,0.002359545],"genre_scores_gemma":[0.9951257,0.00001942031,0.004384852,0.00001724503,0.000005544814,0.00001605538,0.0002547492,0.00002167659,0.0001548169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002276661,"threshold_uncertainty_score":0.009559453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169281310361236,"score_gpt":0.2121510616292852,"score_spread":0.2004582485256728,"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."}}