{"id":"W2891687864","doi":"10.1111/1365-2745.13074","title":"Individual‐based models of community assembly: Neighbourhood competition drives phylogenetic community structure","year":2018,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Phylogenetic tree; Biology; Colonisation; Interspecific competition; Competition (biology); Ecology; Phylogenetic diversity; Community; Coevolution; Community structure; Null model; Coexistence theory; Competition model; Evolutionary biology; Habitat; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.000830052,0.0001097027,0.00031279,0.00008932033,0.00054438,0.000007194019,0.0004641495,0.0001433073,0.0009008116],"category_scores_gemma":[0.0001331969,0.00009639834,0.00007407014,0.0001359649,0.0008644238,0.0001434049,0.0002247727,0.0006991164,0.00001055459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008124083,"about_ca_system_score_gemma":0.00003674542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008458174,"about_ca_topic_score_gemma":0.007544618,"domain_scores_codex":[0.9980105,0.001186093,0.000424832,0.00005360125,0.0001501667,0.0001748181],"domain_scores_gemma":[0.9984392,0.0005589991,0.0006280932,0.0002093331,0.0001079,0.00005651162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001753796,0.001517953,0.897132,0.00004998932,0.0003586492,0.00000702756,0.0104853,0.05047148,0.03409531,0.003440754,0.0008745061,0.001391617],"study_design_scores_gemma":[0.000701811,0.001262404,0.9587658,0.0000101127,0.0000664559,0.00002868373,0.0007748326,0.002886642,0.001413358,0.03398341,0.00002443406,0.00008202159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947746,0.0000191058,0.001625865,0.0003646014,0.0002405018,0.00007509168,0.00001900771,0.000005167521,0.002876025],"genre_scores_gemma":[0.9971322,0.00001039901,0.002255996,0.0005370197,0.00003863242,0.00000129616,0.000007086805,0.000006822901,0.00001049025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06163381,"threshold_uncertainty_score":0.9863255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593382981015139,"score_gpt":0.2665988971135534,"score_spread":0.240665067303402,"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."}}