{"id":"W4416829661","doi":"10.1111/ele.70267","title":"Species Overlap and Phylogenetic Relatedness Result in Community Statistical Non‐Independence (and What to Do About It)","year":2025,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Autocorrelation; Species richness; Community; Statistical model; Linear regression; Statistical power; Regression; Linear model; Phylogenetic tree; Ecosystem","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":[0.03818276,0.0007521789,0.001141266,0.001373754,0.001471479,0.003290786,0.001845346,0.001274664,0.00203357],"category_scores_gemma":[0.1014507,0.001112079,0.001791942,0.00178173,0.006769449,0.003932035,0.00208552,0.002206085,0.0006348335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125217,"about_ca_system_score_gemma":0.001295029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005961402,"about_ca_topic_score_gemma":0.008284054,"domain_scores_codex":[0.9793124,0.01089481,0.001567666,0.004783571,0.002745246,0.000696336],"domain_scores_gemma":[0.845359,0.09446651,0.02281271,0.03261707,0.003826275,0.0009183327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003752324,0.0002260319,0.6950397,0.0008932272,0.003480155,0.001114408,0.003947393,0.04475259,0.01219084,0.09224544,0.003206263,0.1425287],"study_design_scores_gemma":[0.00008127503,0.0002909369,0.4826634,0.0003498723,0.0007810798,0.00197733,0.001702364,0.1888173,0.01326026,0.3010827,0.008751434,0.0002421015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4374838,0.000928391,0.5515761,0.001449039,0.0001648113,0.000193853,0.0006228881,0.0006091733,0.006972036],"genre_scores_gemma":[0.9736512,0.0001903301,0.0248053,0.0003168831,0.00005240815,0.000118477,0.0002739864,0.000099087,0.0004922015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03818276,"threshold_uncertainty_score":0.2019321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009002747507018332,"score_gpt":0.2406632812586125,"score_spread":0.2316605337515942,"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."}}